Kelp Stabilization in Rural Alaska

Recorded November 13, 2024

Explore how GreenWave and partners developed a low-cost, efficient system for ambient temperature stabilization of kelp in rural Alaska. This webinar demonstrates how small-scale processing infrastructure can help farmers capture more value from their harvests by extending shelf life from hours to months without expensive freezing or drying. Learn about equipment selection, processing techniques, and market applications that can make kelp farming more viable in remote communities.

Chapters

00:00 – Project Introduction: Overview of the collaborative effort to develop kelp stabilization in Alaska

 

07:25 – Stabilization Challenges: Understanding value chains and the key bottlenecks in kelp processing

 

19:30 – Equipment Selection Process: Testing different shredders and determining the optimal processing line

 

28:20 – Demonstration Results: Outcomes from the processing demonstration with Alaskan farmers

 

37:55 – Market Applications: How stabilized kelp is utilized for biomaterials and downstream products

 

45:30 – Q&A Session: Participant questions about equipment specifications, reagents, and applications

Transcript

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All right, I’m gonna kick us off here

 

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as people keep trickling in.

 

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Um, hi everyone.

 

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My name is Sam Garvin,

 

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and welcome to today’s Spotlight webinar on kelp

 

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stabilization in rural Alaska.

 

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Um, I’m Green Waves Director of market development.

 

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I’m based in Boston, Massachusetts,

 

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and I’m joined today by my colleague Lindsay Olson up in

 

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Alaska, as well as several project collaborators

 

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who I will introduce in just a second.

 

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Um, today we are very excited to share a recap

 

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of a joint innovation project that GreenWave

 

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and several partner collaborators, uh, led earlier this year

 

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to produce ambient temperature stabilized

 

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kelp in rural Alaska.

 

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Um, the goal of this project was

 

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to iterate on a processing line design

 

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that we had experimented with in New Haven,

 

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Connecticut in the previous year,

 

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and understand what Chan changes might be necessary to adapt

 

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to this work to work in remote communities in Alaska.

 

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I’m gonna take you through the background of the project.

 

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I’m gonna tell you how it went and what we learned,

 

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and throughout, please feel free

 

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to post questions in the chat, which we will answer, um,

 

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at the end of the presentation.

 

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And just to note, we are recording this call for anyone

 

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who can’t join us live.

 

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All right, so

 

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before I begin, I want to give a huge shout out to all

 

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of the partners who collaborated on this project, um,

 

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from the very beginning.

 

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Uh, this was a year long project

 

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and it was very, uh, designed very collaboratively

 

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with monthly meetings with all

 

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of the folks you see here on this slide.

 

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We worked with, uh, Alaska Ocean Farms, uh, a farm in Kodiak

 

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who provided the kelp for the demo

 

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and advised on some of the, the processing aspects,

 

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uh, Alaska Sea Grant.

 

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If Missy Good is on the call today,

 

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she’ll be telling you a little bit more about that program

 

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and the facility that we used for the project.

 

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Uh, Callie, the Kodiak Archipelago Leadership Institute was

 

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instrumental in giving us feedback on how to optimize all

 

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of the processing equipment you’re gonna see today

 

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for the rural context.

 

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And then macro oceans, uh,

 

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Mackey Perkins is here to speak with us.

 

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Macro oceans was the buyer of kelp that was, uh, stabilized

 

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as part of this project, the designer of the,

 

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uh, stabilization process.

 

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And, um, he will tell you, Matthew will tell you more about

 

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what the kelp is going toward and,

 

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and kind of the implications

 

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of ambient temperature stabilization for his markets.

 

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So, to give you some background, um, the, the,

 

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this project came about

 

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because GreenWave has identified that one

 

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of the biggest problems that farmers, uh,

 

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face is accessing markets.

 

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And today, most farmers are doing one tiny piece

 

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of the value chain, and it’s oftentimes not a

 

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particularly profitable one.

 

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Um, they have very little cost over a control,

 

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rather over the cost or the quality

 

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or the timing of, um, a lot of the other aspects

 

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of this value chain.

 

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And so, without processing

 

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or stabilization infrastructure, farmers have

 

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to sell a huge amount of raw kelp in a very short period

 

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of time, which leaves them for few opportunities

 

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for value creation and business development.

 

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Every player in this seaweed value

 

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chain really has to make money.

 

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But the history of land-based agriculture tells us

 

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that in a supply chain

 

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where farmers are only doing this one tiny piece,

 

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farmers often miss out on a lot of

 

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that value that’s being created.

 

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I’m sorry, I’m having a little trouble

 

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advancing my slides here.

 

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One second. There we go. Alright.

 

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Um, and this problem right now is really exacerbated

 

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by the fact that in particularly in the rural context,

 

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these middle stages of the supply chain,

 

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the primary processing

 

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and stable storage phases are actually missing.

 

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They’re just completely not there.

 

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The farmers aren’t able to do it themselves.

 

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The buyers who are coming in oftentimes don’t have the

 

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interest or ability to do that.

 

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And so there’s a gap and,

 

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and the seaweed that is being produced in Alaska

 

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and particularly in rural communities,

 

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cannot reach the market.

 

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So the goal of this project was to figure out,

 

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is there something we can do to fill this gap?

 

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And ideally, something that we can do

 

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that farmers could actually themselves own and operate.

 

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Um, so, uh, when you hear our, our conversation today,

 

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we are gonna be talking about the farming side,

 

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but primary processing

 

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and stable storage is really the, the focus

 

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of the, the innovation.

 

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Um, and our vision here is

 

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that maybe someday farmers in rural communities could

 

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actually own this entire middle section of the value chain,

 

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and therefore have a lot more opportunity

 

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for value creation.

 

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So getting back to this idea of, of primary processing

 

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and stable storage, there is a, a process

 

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that happens in the middle there

 

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that is called stabilization.

 

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And this is a super, super critical step in the value chain

 

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because it is the transformation of raw seaweed

 

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to stable seaweed that allows it

 

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to then be used further down the chain for, uh,

 

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value added products.

 

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So in a value chain, each step can be thought of

 

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as a way of adding value.

 

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And a stabilization step is a really, is like a linchpin

 

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to everything else that comes downstream.

 

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Uh, the official definition of stabilization is a process

 

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of reducing the likelihood that something will change,

 

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decline or fail.

 

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So specific to seaweed, this is the physical method

 

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of preserving the quality

 

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and extending the natural shelf life

 

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of kelp from hours to months.

 

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And this makes it possible to, again,

 

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turn kelp from something that, that has

 

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to be used immediately to something

 

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that could be used year round to create products

 

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and sell them to downstream consumers.

 

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The reality is that most businesses

 

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and consumers are really not interested in

 

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or prepared to handle huge volumes of raw,

 

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wet agricultural commodities.

 

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So people who are further up the supply chain,

 

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that’s farmers and people most closely partnered

 

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with farmers, really have to take this on in order to, uh,

 

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have help everyone be able to access markets.

 

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So some considerations when we started out this project, um,

 

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we wanted to to ask ourselves

 

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what primary processing is required

 

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for stabilization to occur?

 

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So there’s are slightly different things.

 

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Primary processing is the mechanical, uh, you know, uh,

 

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size reduction, for example, that needs to happen in order

 

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for the stabilization method to be effective.

 

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We also were really concerned with the cost to purchase

 

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or set up this stabilization process, um,

 

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or the capital expenditure required.

 

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If we are trying to make this accessible to farmers

 

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and rural communities, it needs to be inexpensive.

 

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Um, and it also needs to be inexpensive to operate.

 

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So that gets to the operational costs.

 

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So utilities, fresh water, labor, labor, other supplies

 

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that you might need, every time you turn it

 

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on, it costs you money.

 

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And we wanna keep that down too.

 

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Next, how much does it cost to actually store the product?

 

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So we’ll talk about ambient temperature in a little bit,

 

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but this is really a key here.

 

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Sometimes people think, oh, well, once I freeze my kelp,

 

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I’m done and I’m, and I

 

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don’t need to worry about it anymore.

 

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But that’s actually not true.

 

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Frozen kelp costs incredible amount of money

 

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to store over months and years,

 

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and it can get so expensive that it, it,

 

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it exceeds the value of the kelp itself.

 

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So we really wanna be conscious of that storage time

 

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after processing with whatever stabilization method we used,

 

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we really wanted to think about degradation as well.

 

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So stabilization helps preserve quality,

 

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but in most cases, not all

 

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of the things are actually preserved.

 

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Some, some stabilization methods are better

 

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for certain compounds

 

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and other stabilization methods are better for others.

 

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So we wanted to design, uh, make sure

 

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that we were using a stabilization method that was correct

 

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for macro oceans for the,

 

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the products we’re making at the end of the day.

 

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And that gets us to our last point,

 

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what do the customers need?

 

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So all of this has to be driven by, uh,

 

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by customer requirements, by the people

 

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who are ultimately going to buy the kelp

 

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or it, you know, it, the, that

 

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that chain is still broken and doesn’t connect.

 

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Stabilization challenges that exist today, are we, we kind

 

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of lump it into three buckets, timing, infrastructure,

 

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and geography.

 

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So on the timing side, kelp season is very short.

 

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The harvest is usually over the course

 

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of about a month or two.

 

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And all that kelp needs to come out

 

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of the water all at the same time.

 

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It then has a very shelf short shelf life, so needs

 

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to be processed in hours, not not days.

 

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And there’s a lot of just in time

 

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coordination that needs to happen.

 

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So as soon as that kelp comes outta the water, there has

 

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to be processing available to do it,

 

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which means we ideally would like that to be distributed so

 

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that all the processing can can happen, uh, at once instead

 

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of waiting in line for a, for a bottleneck.

 

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From the infrastructure perspective, most forms

 

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of stabilization technology are,

 

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do have this limited capacity.

 

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They, there is a bottleneck there to, to get in line

 

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for the processing and, and the stabilization.

 

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A lot of stabilization methods such as freezing

 

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or drying are very energy intensive.

 

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They require a lot of labor, they’re expensive, and

 

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because they are expensive and labor intensive

 

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and all of that, you can’t have a lot of them.

 

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They’re, they’re geographically located in one place.

 

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So with this project, we are looking to overcome all

 

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of the cha challenges

 

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and address the constraints

 

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that we just talked about on the previous slide.

 

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Wet ambient temperature stabilization is really, uh,

 

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checks a lot of the boxes

 

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for the constraints we were just talking about.

 

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It has, uh, minimal energy and labor requirements, uh,

 

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because you are taking the wet kelp

 

232

00:10:01.695 –> 00:10:03.595

and you’re not really doing that much to it.

 

233

00:10:03.595 –> 00:10:06.475

Usually there is a size reduction step that is required

 

234

00:10:06.495 –> 00:10:10.355

to take the wet kelp, um, break it into smaller pieces so

 

235

00:10:10.515 –> 00:10:14.075

that those smaller pieces can have contact with the reagent

 

236

00:10:14.175 –> 00:10:16.515

or with whatever it is that’s,

 

237

00:10:16.515 –> 00:10:17.795

that’s doing the stabilization.

 

238

00:10:18.295 –> 00:10:20.595

And the types are generally either fermentation,

 

239

00:10:20.775 –> 00:10:24.515

so we’re adding a bacteria of some kind that is, um,

 

240

00:10:24.935 –> 00:10:26.995

you know, making it sort of like the yogurt that you buy.

 

241

00:10:27.065 –> 00:10:28.755

It’s, it’s alive, uh,

 

242

00:10:28.775 –> 00:10:31.355

but it is changing very, very, very slowly.

 

243

00:10:31.575 –> 00:10:34.715

And so it, it, that sort serves as a method of preservation.

 

244

00:10:35.225 –> 00:10:37.595

There’s also, um, chemical reagents or

 

245

00:10:37.655 –> 00:10:39.755

or other sort of recipes that

 

246

00:10:39.755 –> 00:10:41.915

where you add additional compounds

 

247

00:10:42.055 –> 00:10:45.795

and that, um, usually, uh, as I was saying

 

248

00:10:45.795 –> 00:10:47.315

with certain compounds end up

 

249

00:10:47.355 –> 00:10:48.635

surviving and other ones don’t.

 

250

00:10:48.935 –> 00:10:51.835

The stabilization usually comes from the reagents reacting

 

251

00:10:51.835 –> 00:10:54.115

with certain things in the kelp to prevent degradation

 

252

00:10:54.135 –> 00:10:56.475

and then preserving the other ones that remain

 

253

00:10:56.475 –> 00:11:00.935

and they’re not affected, um, ambient temperature.

 

254

00:11:01.075 –> 00:11:04.015

So the idea here is that whatever we add,

 

255

00:11:04.015 –> 00:11:06.655

whether it’s fermentation or chemicals, uh,

 

256

00:11:06.795 –> 00:11:09.375

it does not require climate controlled storage

 

257

00:11:09.545 –> 00:11:10.975

after it’s all been mixed together.

 

258

00:11:11.155 –> 00:11:14.135

And this saves an immense amount of headache in terms of

 

259

00:11:14.735 –> 00:11:16.495

logistics, storage costs.

 

260

00:11:17.235 –> 00:11:21.675

Um, uh, it’s, it’s just so much easier to be able

 

261

00:11:21.675 –> 00:11:25.435

to leave your IBC totes or your barrels outside, um,

 

262

00:11:25.575 –> 00:11:27.875

or in a non climate controlled warehouse that have

 

263

00:11:27.875 –> 00:11:29.435

to worry about, well, where am I storing this up

 

264

00:11:29.435 –> 00:11:30.755

and how am I shipping it such

 

265

00:11:30.755 –> 00:11:32.155

that I’m maintaining a temperature?

 

266

00:11:33.615 –> 00:11:34.715

One of the few downsides

 

267

00:11:34.715 –> 00:11:36.115

to ambient temperature stabilization

 

268

00:11:36.115 –> 00:11:37.395

that I do wanna call out though is

 

269

00:11:37.395 –> 00:11:38.795

that we are usually adding weight.

 

270

00:11:39.095 –> 00:11:42.475

So you get the benefit of not having

 

271

00:11:42.475 –> 00:11:46.195

to ship in particular cold storage, uh, or climate control,

 

272

00:11:46.695 –> 00:11:50.195

but you are usually in order to get that, um, reagent

 

273

00:11:50.195 –> 00:11:52.195

or the fermentation mechanism to,

 

274

00:11:52.295 –> 00:11:56.165

to distribute itself in the, the, uh, vessels,

 

275

00:11:56.465 –> 00:11:58.205

you’re usually having to add water

 

276

00:11:58.305 –> 00:12:01.845

or some other liquid in order to get that to, to distribute.

 

277

00:12:02.025 –> 00:12:03.325

So there is that,

 

278

00:12:06.755 –> 00:12:08.615

all right, to get to the, to the meat of the project.

 

279

00:12:08.795 –> 00:12:10.655

So here’s, here was the scope of the project.

 

280

00:12:11.795 –> 00:12:13.945

We wanted to research

 

281

00:12:13.965 –> 00:12:15.945

and select equipment that would efficiently,

 

282

00:12:15.975 –> 00:12:18.625

efficiently reduce whole kelp into a slurry.

 

283

00:12:19.325 –> 00:12:22.825

Um, this slurry is just chopped up kelp, that’s it.

 

284

00:12:23.645 –> 00:12:27.505

We then wanted to mix that with, uh, macro oceans reagents

 

285

00:12:27.845 –> 00:12:30.705

and ship it to California at ambient temperature

 

286

00:12:30.725 –> 00:12:33.545

and essentially see how does that go.

 

287

00:12:33.645 –> 00:12:35.145

So we’re, we’re gonna hear from Matthew about

 

288

00:12:35.145 –> 00:12:36.225

how did, how did that go?

 

289

00:12:36.805 –> 00:12:38.425

Did it stabilize? Um,

 

290

00:12:39.245 –> 00:12:40.905

and so that was a very important point

 

291

00:12:40.905 –> 00:12:42.545

of testing it at a larger scale

 

292

00:12:42.545 –> 00:12:43.705

than we’d ever done it in the past.

 

293

00:12:43.845 –> 00:12:45.905

So when we’ve previously done this work with Matthew,

 

294

00:12:46.405 –> 00:12:49.585

we did, I think 2000 pounds or, or something to that effect,

 

295

00:12:49.605 –> 00:12:51.585

and this time it was 5,000 pounds.

 

296

00:12:51.885 –> 00:12:53.065

So we more than doubled it.

 

297

00:12:53.085 –> 00:12:55.265

And things can change when you, when you scale up.

 

298

00:12:55.265 –> 00:12:56.825

So that was a, a big part of this project.

 

299

00:12:58.145 –> 00:12:59.645

The other big part of this project was

 

300

00:12:59.645 –> 00:13:00.725

to demonstrate the line

 

301

00:13:00.785 –> 00:13:03.565

for rural farmers get feedback and iterate.

 

302

00:13:03.785 –> 00:13:05.645

The whole point of this was we wanted to make something

 

303

00:13:05.645 –> 00:13:09.205

that’s realistic to implement all over Alaska

 

304

00:13:09.425 –> 00:13:10.685

and in rural communities.

 

305

00:13:11.065 –> 00:13:13.485

So the feedback aspect was really important

 

306

00:13:13.485 –> 00:13:15.325

because we knew we weren’t gonna get it right the first time

 

307

00:13:15.505 –> 00:13:17.525

and we wanted to, um, you know,

 

308

00:13:17.765 –> 00:13:19.485

iterate while we still had grant funding

 

309

00:13:19.505 –> 00:13:20.605

to then try it again.

 

310

00:13:21.485 –> 00:13:23.105

And then of course, uh,

 

311

00:13:23.135 –> 00:13:27.105

because this is a project funded through, uh,

 

312

00:13:27.205 –> 00:13:28.265

the Build Back Better Funding

 

313

00:13:28.405 –> 00:13:31.425

and Alaska Fisheries Development Foundation, we wanted

 

314

00:13:31.425 –> 00:13:34.505

to open source the processing line design and SOPs.

 

315

00:13:34.505 –> 00:13:36.025

And because you are registered for this webinar,

 

316

00:13:36.285 –> 00:13:40.905

you will receive, um, the PDF of that when we, uh,

 

317

00:13:40.905 –> 00:13:42.065

send you the webinar recording.

 

318

00:13:46.245 –> 00:13:48.825

So the first piece of this, this size reduction, um,

 

319

00:13:48.825 –> 00:13:51.305

this was really, really critical piece.

 

320

00:13:51.325 –> 00:13:53.105

We tested all kinds of equipment,

 

321

00:13:53.105 –> 00:13:54.705

which I will go into in the next slide,

 

322

00:13:55.125 –> 00:13:58.345

but we had some pretty stringent criteria for

 

323

00:13:58.345 –> 00:13:59.745

what we wanted for size reduction.

 

324

00:13:59.885 –> 00:14:01.225

And this was based on things

 

325

00:14:01.225 –> 00:14:04.865

that we’ve seen from other types of size reduction, uh, used

 

326

00:14:05.085 –> 00:14:07.945

for food or, or in other situations where, um,

 

327

00:14:07.945 –> 00:14:09.945

there might be multiple steps involved

 

328

00:14:10.005 –> 00:14:11.865

or things would get clogged or they were expensive.

 

329

00:14:11.865 –> 00:14:14.265

And so remember back to those criteria for

 

330

00:14:14.265 –> 00:14:15.345

what were we aiming for?

 

331

00:14:15.845 –> 00:14:17.905

We wanted a size reduction equipment

 

332

00:14:17.905 –> 00:14:20.425

that could handle whole kelp that was inexpensive,

 

333

00:14:20.535 –> 00:14:22.345

that was compact, that was durable,

 

334

00:14:22.495 –> 00:14:23.745

that required minimal maintenance

 

335

00:14:23.995 –> 00:14:25.865

where you could get it food safe.

 

336

00:14:26.005 –> 00:14:28.705

So like a stainless steel option, um,

 

337

00:14:29.115 –> 00:14:31.825

where there was no water required for conveyance.

 

338

00:14:31.925 –> 00:14:35.745

So a lot of the machineries, uh, don’t work if you just put,

 

339

00:14:35.885 –> 00:14:38.905

put the kelp in without a liquid to, to transport it from,

 

340

00:14:38.935 –> 00:14:39.945

from one point to another.

 

341

00:14:41.045 –> 00:14:42.885

Flexible power options, because power can be

 

342

00:14:42.885 –> 00:14:44.365

so variable in rural contexts.

 

343

00:14:45.405 –> 00:14:47.025

Output particle size control.

 

344

00:14:47.085 –> 00:14:50.585

So we knew what size particles, uh, macro oceans needed,

 

345

00:14:50.685 –> 00:14:53.725

but we also want it to be versatile in case another customer

 

346

00:14:53.725 –> 00:14:56.085

with a different type of ambient temperature stabilization

 

347

00:14:56.655 –> 00:14:59.005

might, uh, might want a different particle size.

 

348

00:14:59.425 –> 00:15:01.245

And then we also wanted something that was scalable.

 

349

00:15:01.425 –> 00:15:06.145

So we used, uh, a small scale size reduction, uh,

 

350

00:15:06.145 –> 00:15:07.185

machine for this pilot,

 

351

00:15:07.285 –> 00:15:10.185

but we wanted something that was available in larger sizes.

 

352

00:15:10.445 –> 00:15:13.385

So if it worked, we were able to, to buy the next size up

 

353

00:15:13.405 –> 00:15:15.425

for the next time we, we did it.

 

354

00:15:18.875 –> 00:15:20.215

Uh, we tried all kinds of things.

 

355

00:15:21.155 –> 00:15:23.895

We tried industrial sized garbage disposals.

 

356

00:15:24.065 –> 00:15:26.095

Those weren’t great because they required water

 

357

00:15:26.155 –> 00:15:28.295

to convey the material through the machine, just like,

 

358

00:15:28.295 –> 00:15:29.295

just like the one in your sink.

 

359

00:15:29.995 –> 00:15:33.535

Um, we try to meet grinder that has an auger, um,

 

360

00:15:33.675 –> 00:15:35.975

but the kelp kind of wrapped around it

 

361

00:15:36.035 –> 00:15:37.135

and, and wouldn’t grind.

 

362

00:15:37.155 –> 00:15:39.135

And we didn’t really wanna do any pre-processing

 

363

00:15:39.215 –> 00:15:41.695

’cause that adds more steps, more labor, more money.

 

364

00:15:42.365 –> 00:15:43.465

We tried a wood shipper,

 

365

00:15:43.525 –> 00:15:45.625

but kelp really isn’t rigid enough to go

 

366

00:15:45.625 –> 00:15:47.425

through the machine, and so it clogs.

 

367

00:15:48.205 –> 00:15:50.785

We tried an Ursel Cora, which has been used

 

368

00:15:50.785 –> 00:15:52.785

before, um, for food purposes.

 

369

00:15:53.285 –> 00:15:56.665

And honestly it works great, but it’s expensive.

 

370

00:15:56.805 –> 00:16:00.025

The the cutting heads also are, um, they’re blades

 

371

00:16:00.025 –> 00:16:02.665

and so they dull easily and it was prone to clogging.

 

372

00:16:03.325 –> 00:16:05.705

And then we also tried a dual shaft shredder

 

373

00:16:05.705 –> 00:16:06.905

that also worked pretty well,

 

374

00:16:07.045 –> 00:16:09.305

but it’s much bigger, much heavier

 

375

00:16:09.565 –> 00:16:12.945

and much more expensive than what we actually ended up as.

 

376

00:16:13.285 –> 00:16:15.745

Uh, also I’d like to give credit to my colleague,

 

377

00:16:15.765 –> 00:16:16.825

uh, Toby Shepherd Block.

 

378

00:16:16.825 –> 00:16:17.825

You see him there in that picture.

 

379

00:16:17.825 –> 00:16:21.505

That’s him testing out various machines in, in New Haven.

 

380

00:16:22.045 –> 00:16:23.865

Um, and you can actually see the machine we ended up

 

381

00:16:23.865 –> 00:16:26.385

with in his, to his right, our left.

 

382

00:16:28.245 –> 00:16:31.665

Uh, so here it is. This is the Vincent vs eight shredder.

 

383

00:16:32.375 –> 00:16:35.465

It’s, uh, clocks. It clocks in at 490 pounds.

 

384

00:16:35.815 –> 00:16:38.465

It’s about four feet long, two feet high.

 

385

00:16:39.215 –> 00:16:42.065

It’s, uh, designed for bulky wet materials.

 

386

00:16:42.065 –> 00:16:43.665

This is like why it exists.

 

387

00:16:44.765 –> 00:16:46.825

And it has this really interesting design

 

388

00:16:46.955 –> 00:16:49.865

where it smashes the kelp rather than cuts it.

 

389

00:16:49.865 –> 00:16:51.505

So there are no blades involved.

 

390

00:16:51.575 –> 00:16:53.785

It’s these like metal bars, uh,

 

391

00:16:53.785 –> 00:16:55.945

stainless steel bars on a rotating shaft.

 

392

00:16:56.605 –> 00:17:00.185

And, uh, the, the kelp feeds in through,

 

393

00:17:00.185 –> 00:17:03.385

through the eight foot square in feed

 

394

00:17:03.385 –> 00:17:04.945

that you see up, up top there.

 

395

00:17:05.525 –> 00:17:08.185

And then, um, there’s a dog leg chute

 

396

00:17:08.185 –> 00:17:10.225

that is added onto it for, for safety.

 

397

00:17:11.205 –> 00:17:14.625

One of the things that made this a really easy option for us

 

398

00:17:14.645 –> 00:17:16.945

to try out was that this company, um,

 

399

00:17:17.005 –> 00:17:18.385

has a try before you buy option.

 

400

00:17:18.405 –> 00:17:20.585

So we did not actually purchase this as part

 

401

00:17:20.585 –> 00:17:21.785

of the grant, but we rented it.

 

402

00:17:21.785 –> 00:17:26.065

We rented it for $178 a week. Um, we shipped it to Kodiak.

 

403

00:17:26.065 –> 00:17:28.625

We tried it, we even, you were allowed to modify it.

 

404

00:17:28.625 –> 00:17:30.465

And then we sent it back to them when we were done.

 

405

00:17:31.005 –> 00:17:32.865

And this coming year, we’re hoping

 

406

00:17:32.865 –> 00:17:35.065

to buy the next version up from that.

 

407

00:17:35.165 –> 00:17:36.385

So we really appreciated the

 

408

00:17:36.385 –> 00:17:37.465

opportunity to get to try it out.

 

409

00:17:39.825 –> 00:17:41.695

Other equipment we used for this.

 

410

00:17:41.755 –> 00:17:43.055

So again, our goal is

 

411

00:17:43.055 –> 00:17:46.135

to design something like the minimum viable processing line,

 

412

00:17:46.135 –> 00:17:48.855

something that was super small that was right sized

 

413

00:17:48.985 –> 00:17:51.885

for farms in rural communities that are just starting out.

 

414

00:17:52.025 –> 00:17:56.325

So this, this line itself is not one that you would use

 

415

00:17:56.325 –> 00:17:57.605

for hundreds of thousands of pounds.

 

416

00:17:57.675 –> 00:17:58.965

It’s ones that, it’s one that you would use

 

417

00:17:58.965 –> 00:18:00.245

for tens of thousands of pounds.

 

418

00:18:00.865 –> 00:18:04.405

Um, and, and then with very low input of capital.

 

419

00:18:04.585 –> 00:18:09.085

So, uh, things we use in addition to the shredder,

 

420

00:18:09.085 –> 00:18:11.845

there was this shredder stand to lift it off the ground kind

 

421

00:18:11.845 –> 00:18:13.005

of improves the ergonomics.

 

422

00:18:13.005 –> 00:18:16.765

A it, uh, transfer vessels, five gallon buckets, very fancy.

 

423

00:18:17.625 –> 00:18:22.165

Uh, we used these 55 gallon blue barrels for storage.

 

424

00:18:22.625 –> 00:18:26.325

And then for mixing the kelp slurry with the reagent,

 

425

00:18:26.345 –> 00:18:28.805

we use a right angle drill and a mixer paddle.

 

426

00:18:28.835 –> 00:18:31.845

It’s designed for, for, um, cement.

 

427

00:18:32.385 –> 00:18:33.525

Uh, but they do make food.

 

428

00:18:33.525 –> 00:18:35.525

They do make stainless steel food grade versions.

 

429

00:18:36.145 –> 00:18:38.485

We also, uh, used a floor scale.

 

430

00:18:38.705 –> 00:18:41.565

So that’s, uh, about $1,600.

 

431

00:18:41.945 –> 00:18:44.965

So all in, uh, about, uh,

 

432

00:18:46.485 –> 00:18:48.535

this was a little under $2,000.

 

433

00:18:48.755 –> 00:18:52.295

And then the cost of, so if you were to buy this plus the,

 

434

00:18:52.475 –> 00:18:55.535

uh, shredder you’re looking at all in $20,000.

 

435

00:18:59.815 –> 00:19:01.795

And, uh, so this demo, uh,

 

436

00:19:01.855 –> 00:19:05.155

or the, the, the, the equipment itself was set up in the,

 

437

00:19:06.015 –> 00:19:08.755

uh, Kodiak Marine Science Center pilot plant,

 

438

00:19:08.765 –> 00:19:10.235

which is run by Alaska Sea Grant.

 

439

00:19:10.295 –> 00:19:12.595

And Missy Grant is here to, uh, uh, sorry,

 

440

00:19:12.595 –> 00:19:15.315

Missy Good is here to tell us a little bit more about Alaska

 

441

00:19:15.415 –> 00:19:17.075

Sea Grant and the pilot plant.

 

442

00:19:17.745 –> 00:19:20.235

Yeah, thanks, Sam. We are really happy to partner

 

443

00:19:20.385 –> 00:19:22.435

with GreenWave and Macro Oceans on this project.

 

444

00:19:22.975 –> 00:19:25.115

As you could see, we have the Kodiak Seafood

 

445

00:19:25.295 –> 00:19:28.835

and Marine Science Center, which is a good size facility

 

446

00:19:29.015 –> 00:19:30.435

and it’s legislatively mandated

 

447

00:19:30.435 –> 00:19:32.795

to support the seafood processing industry.

 

448

00:19:33.255 –> 00:19:37.275

Um, so we not only support seafood processing activities,

 

449

00:19:37.295 –> 00:19:39.635

we host trainings and workshops as well.

 

450

00:19:39.655 –> 00:19:41.755

And we support mariculture broadly.

 

451

00:19:42.415 –> 00:19:44.995

I’m the mariculture specialist with Alaska Sea Grant

 

452

00:19:45.015 –> 00:19:47.315

and the Kodiak Seafood and Marine Science Center.

 

453

00:19:47.615 –> 00:19:49.675

Um, and so it’s easy for us to work together

 

454

00:19:49.815 –> 00:19:51.475

and develop these partnerships.

 

455

00:19:51.655 –> 00:19:53.315

Um, for those of you that don’t know,

 

456

00:19:53.495 –> 00:19:56.115

Alaska Sea Grant is a partnership between NOAA

 

457

00:19:56.175 –> 00:19:58.595

and the University of Alaska Fairbanks.

 

458

00:19:58.975 –> 00:20:02.315

Um, if you’d like to learn more about the science center,

 

459

00:20:02.845 –> 00:20:03.915

about what we do

 

460

00:20:04.095 –> 00:20:06.235

or how we could support additional efforts,

 

461

00:20:06.475 –> 00:20:08.395

I will put my email address in the chat

 

462

00:20:08.415 –> 00:20:09.555

and please reach out to me.

 

463

00:20:09.815 –> 00:20:10.815

Thanks, Sam.

 

464

00:20:12.085 –> 00:20:12.985

Thanks, Missy.

 

465

00:20:17.315 –> 00:20:20.045

Okay, so we set up that line in the processing plant,

 

466

00:20:20.225 –> 00:20:23.605

and, uh, then we had a demo day, uh, and in May.

 

467

00:20:24.225 –> 00:20:26.845

And, uh, the agenda was, you know, we,

 

468

00:20:26.865 –> 00:20:30.285

we brought in people from 22, I believe, 1722,

 

469

00:20:30.285 –> 00:20:31.405

something in that range.

 

470

00:20:31.425 –> 00:20:33.885

People, uh, from all over the country,

 

471

00:20:34.225 –> 00:20:36.045

but with a focus on rural communities

 

472

00:20:36.465 –> 00:20:39.805

and, uh, really got people very

 

473

00:20:39.805 –> 00:20:41.245

hands-on with this equipment.

 

474

00:20:41.745 –> 00:20:44.525

Um, we did an equipment walkthrough, uh,

 

475

00:20:44.525 –> 00:20:46.765

where we talked about what all the pieces of equipment were,

 

476

00:20:46.825 –> 00:20:48.525

and then we got in there

 

477

00:20:48.625 –> 00:20:50.085

and we actually processed some kelp.

 

478

00:20:50.185 –> 00:20:52.445

So here you can see our participants, uh,

 

479

00:20:52.445 –> 00:20:54.765

putting the kelp into the shredder.

 

480

00:20:55.145 –> 00:20:57.965

Uh, then you see the slurry that were of the chopped kelp

 

481

00:20:57.985 –> 00:20:59.605

before anything has been mixed into it.

 

482

00:20:59.825 –> 00:21:03.205

And then on the far, uh, right side, that is the, the barrel

 

483

00:21:03.275 –> 00:21:05.685

with the, the reagent mixed in.

 

484

00:21:06.225 –> 00:21:08.845

And one of our participants is using that right angle drill

 

485

00:21:08.845 –> 00:21:10.805

to make sure it got mixed together.

 

486

00:21:14.765 –> 00:21:15.875

After the demo and

 

487

00:21:15.875 –> 00:21:17.875

after the hands-on portion, we had a discussion.

 

488

00:21:17.935 –> 00:21:19.635

We talked about what worked well, what didn’t,

 

489

00:21:19.865 –> 00:21:22.115

what might be the challenges to do this at speed

 

490

00:21:22.115 –> 00:21:24.795

or at scale, how could we make it more efficient?

 

491

00:21:25.005 –> 00:21:26.795

Would this work in the region

 

492

00:21:26.795 –> 00:21:28.115

where the participants were from

 

493

00:21:28.775 –> 00:21:32.595

and what challenges there might be to adapt the system

 

494

00:21:32.815 –> 00:21:34.235

to their contexts?

 

495

00:21:36.945 –> 00:21:41.425

And we had, uh, a few changes as a result,

 

496

00:21:41.525 –> 00:21:43.385

and we actually had the opportunity to

 

497

00:21:44.485 –> 00:21:46.465

try out those changes in real life.

 

498

00:21:46.685 –> 00:21:48.345

Uh, thanks to Macro Oceans

 

499

00:21:48.345 –> 00:21:50.865

who made an additional larger purchase from, uh,

 

500

00:21:50.865 –> 00:21:54.625

the Kodiak region after this pilot was done, as well

 

501

00:21:54.625 –> 00:21:58.225

as we used this line for another BIOS stimulant customer in,

 

502

00:21:58.485 –> 00:22:02.265

in, who was also purchasing from Kodiak, a different style

 

503

00:22:02.445 –> 00:22:04.345

of ambient temperature stabilization,

 

504

00:22:04.445 –> 00:22:05.905

but the exact same equipment.

 

505

00:22:05.905 –> 00:22:08.505

So that was a really awesome way to validate this.

 

506

00:22:08.965 –> 00:22:10.785

Um, but the changes that we made as a result

 

507

00:22:10.785 –> 00:22:14.105

of the demo day feedback were, um, we made some changes

 

508

00:22:14.405 –> 00:22:15.425

to the conveyance.

 

509

00:22:15.685 –> 00:22:18.065

So one of the pieces of the feedback was, wow, it’s a lot

 

510

00:22:18.065 –> 00:22:20.625

of work to, to put the help in, um,

 

511

00:22:21.005 –> 00:22:23.025

and to, to move it from place to place.

 

512

00:22:23.125 –> 00:22:26.545

And so we borrowed an auger from another buyer in the Kodiak

 

513

00:22:26.545 –> 00:22:28.225

area, blue Evolution, and

 

514

00:22:28.375 –> 00:22:32.225

that helped get the kelp from the shredder into the barrels

 

515

00:22:32.225 –> 00:22:33.385

or totes that we were using.

 

516

00:22:34.325 –> 00:22:38.105

We also had some custom, uh, fabricated flanges

 

517

00:22:38.105 –> 00:22:39.865

and funnels made very, very simple.

 

518

00:22:40.135 –> 00:22:43.105

Literally just three pieces of metal, four pieces of metal,

 

519

00:22:43.485 –> 00:22:44.945

uh, connected together,

 

520

00:22:45.285 –> 00:22:46.865

and that helped ensure that the shredded

 

521

00:22:46.865 –> 00:22:47.985

kelp got where it needed to go.

 

522

00:22:49.365 –> 00:22:51.825

We, uh, also added an infeed table.

 

523

00:22:52.085 –> 00:22:55.585

So, uh, initially when we were using the equipment,

 

524

00:22:55.585 –> 00:22:59.845

it does have that kind of narrow eight inch, uh, shoot,

 

525

00:23:00.175 –> 00:23:02.085

which on the larger models is larger.

 

526

00:23:02.465 –> 00:23:04.565

Um, but what we were finding was that it was kind

 

527

00:23:04.565 –> 00:23:08.285

of challenging to hand feed that, uh, shoot effectively.

 

528

00:23:08.425 –> 00:23:12.005

And so we added a, a kind of a, a, uh, yeah,

 

529

00:23:12.125 –> 00:23:14.405

a table on which kelp could be loaded

 

530

00:23:14.545 –> 00:23:18.565

and then pushed into the, uh, machine.

 

531

00:23:18.905 –> 00:23:20.965

And so that allowed us to get up

 

532

00:23:21.025 –> 00:23:23.485

to about 2000 pounds per hour.

 

533

00:23:23.665 –> 00:23:24.805

So in the demo day,

 

534

00:23:24.825 –> 00:23:26.365

we were only doing about a thousand pounds,

 

535

00:23:26.705 –> 00:23:28.125

but with these small improvements

 

536

00:23:28.125 –> 00:23:29.805

and iterations, we got up to 2000 pounds,

 

537

00:23:29.805 –> 00:23:30.885

and that was really amazing

 

538

00:23:30.905 –> 00:23:32.885

to see in such a short period of time.

 

539

00:23:33.625 –> 00:23:37.485

Um, I do have a video here of the modified line,

 

540

00:23:37.745 –> 00:23:39.045

so let’s see if it plays.

 

541

00:23:48.940 –> 00:23:51.705

So this is on the larger scale processing line.

 

542

00:23:52.295 –> 00:23:54.585

Just a quick taste of, of what we’re doing there.

 

543

00:24:00.795 –> 00:24:03.475

All right. So kelp has been processed.

 

544

00:24:04.235 –> 00:24:06.755

I would love to hand it off to Matthew Perkins

 

545

00:24:06.755 –> 00:24:10.235

of Macro Oceans to say a bit more about what happened to

 

546

00:24:10.235 –> 00:24:14.845

that s smashed up kelp and what macro ocean’s, uh, process

 

547

00:24:15.025 –> 00:24:16.085

and markets are in general.

 

548

00:24:17.635 –> 00:24:21.205

Awesome. Thank you Sam, for guiding us through this talk.

 

549

00:24:21.225 –> 00:24:23.805

And it’s been great to collaborate with GreenWave

 

550

00:24:23.825 –> 00:24:26.125

and all the partners on this project, uh,

 

551

00:24:26.125 –> 00:24:28.525

which has definitely been, uh, a really great way

 

552

00:24:28.525 –> 00:24:32.085

to learn about how products get from farm all the way

 

553

00:24:32.145 –> 00:24:33.325

to end markets.

 

554

00:24:33.625 –> 00:24:37.045

Um, and, uh, yeah, so Macros is a, uh,

 

555

00:24:37.195 –> 00:24:38.445

bioprocessing company.

 

556

00:24:38.785 –> 00:24:42.205

We are based in, uh, California, in Sacramento,

 

557

00:24:42.545 –> 00:24:46.485

and we transform kalp into low carbon biomaterials.

 

558

00:24:46.865 –> 00:24:51.325

Um, and so most of what we’ve done is really focus on, uh,

 

559

00:24:51.665 –> 00:24:55.085

trying to create things that folks want in the market.

 

560

00:24:55.155 –> 00:24:59.365

Obviously without end buyers, uh, you don’t end up, uh,

 

561

00:24:59.545 –> 00:25:00.645

having a real business.

 

562

00:25:00.745 –> 00:25:02.445

Um, so we’ve put a lot of effort into that.

 

563

00:25:02.665 –> 00:25:05.685

And so just to situate us in the value chain,

 

564

00:25:05.745 –> 00:25:07.405

we don’t grow any seaweed.

 

565

00:25:07.405 –> 00:25:10.605

We buy seaweed, we don’t make anything consumer facing.

 

566

00:25:11.185 –> 00:25:15.685

Um, we sell biomaterials to downstream customers, uh,

 

567

00:25:15.905 –> 00:25:19.005

you know, folks who are actually incorporating, uh,

 

568

00:25:19.005 –> 00:25:23.445

these kelp derivatives into products for, uh, consumers.

 

569

00:25:23.745 –> 00:25:25.285

So, uh, yeah.

 

570

00:25:25.465 –> 00:25:26.885

So anyway, so we, uh,

 

571

00:25:27.325 –> 00:25:30.165

realized pretty early on in our process that we wanted to,

 

572

00:25:30.705 –> 00:25:35.085

uh, eliminate freezing and drying of seaweed, um, freezing

 

573

00:25:35.085 –> 00:25:37.045

because, uh, it’s energy intensive

 

574

00:25:37.305 –> 00:25:39.005

and you have to pay for storage every

 

575

00:25:39.005 –> 00:25:40.165

month, which is really expensive.

 

576

00:25:40.545 –> 00:25:42.245

Um, and it doesn’t scale particularly well.

 

577

00:25:42.585 –> 00:25:44.725

Uh, and, uh, drying, we wanted to eliminate

 

578

00:25:44.725 –> 00:25:47.565

because our process is all, um, you know,

 

579

00:25:47.725 –> 00:25:49.365

needs wet seaweed, it’s water based.

 

580

00:25:49.545 –> 00:25:52.605

And so we wanted to, uh, what’s the point

 

581

00:25:52.605 –> 00:25:54.245

of taking the water out of the seaweed if you’re

 

582

00:25:54.245 –> 00:25:55.285

gonna put it back in?

 

583

00:25:55.385 –> 00:25:58.045

Um, and so we wanted to find a way to, uh,

 

584

00:25:58.365 –> 00:25:59.925

stabilize seaweed at ambient temperatures

 

585

00:25:59.945 –> 00:26:03.085

and worked on a technique, which, uh, works really well

 

586

00:26:03.085 –> 00:26:07.085

with our process, uh, which is all based on green chemistry

 

587

00:26:08.025 –> 00:26:10.285

and, uh, food safe, uh, ingredients.

 

588

00:26:10.345 –> 00:26:13.485

And so we, uh, we had done this at Lab Scale,

 

589

00:26:13.585 –> 00:26:15.285

and as Sam suggested,

 

590

00:26:15.305 –> 00:26:17.965

we had done some early trials with GreenWave.

 

591

00:26:18.265 –> 00:26:20.085

Uh, and so we really wanted to bring that

 

592

00:26:20.225 –> 00:26:24.205

to a larger scale setup in Kodiak, uh, this past season

 

593

00:26:24.585 –> 00:26:26.605

and see how it work, uh, in the field.

 

594

00:26:27.305 –> 00:26:29.565

And, uh, so yeah, that’s, that’s what we did.

 

595

00:26:29.665 –> 00:26:32.325

We, uh, processed a bunch of seaweed

 

596

00:26:32.325 –> 00:26:34.725

and we had brought it back to California.

 

597

00:26:34.985 –> 00:26:36.765

Now, obviously at large scales,

 

598

00:26:36.765 –> 00:26:38.845

we’re not planning on shipping seaweed all over the country.

 

599

00:26:38.845 –> 00:26:40.485

That wouldn’t make a lot of sense.

 

600

00:26:40.585 –> 00:26:43.285

But, uh, for where we are in, this is an an r

 

601

00:26:43.285 –> 00:26:46.325

and d project, uh, we really wanted to, uh, get it back

 

602

00:26:46.325 –> 00:26:49.125

to our facility and, uh, use it in our process

 

603

00:26:49.305 –> 00:26:50.445

and monitor it as we go.

 

604

00:26:50.545 –> 00:26:53.045

So to date, we’ve seen pretty good results.

 

605

00:26:53.265 –> 00:26:54.925

Um, it works quite nicely.

 

606

00:26:55.505 –> 00:26:58.085

Uh, we have definitely, uh, you know,

 

607

00:26:58.085 –> 00:27:00.485

preserved the main compounds we’re looking at,

 

608

00:27:00.485 –> 00:27:02.765

which are all the carbohydrate based compounds,

 

609

00:27:02.765 –> 00:27:06.445

polysaccharides, the alginates, the cellulose, uh, and, um,

 

610

00:27:07.025 –> 00:27:09.645

and then we’ve also been looking at, uh, you know,

 

611

00:27:09.645 –> 00:27:11.645

manufacturing compatibility and,

 

612

00:27:11.665 –> 00:27:12.885

and how that works with our process.

 

613

00:27:13.205 –> 00:27:16.725

I think definitely there’s room to improve, um, things like,

 

614

00:27:17.185 –> 00:27:18.805

uh, mixing

 

615

00:27:19.065 –> 00:27:23.165

and ensuring, you know, uniform distribution of reagents.

 

616

00:27:23.265 –> 00:27:26.285

Um, but that’s maybe something we can touch on when we get

 

617

00:27:26.285 –> 00:27:28.605

into the lessons learned, Sam, um,

 

618

00:27:29.185 –> 00:27:30.845

and questions if anyone has them.

 

619

00:27:31.755 –> 00:27:33.495

And, uh, yeah, in terms of our markets,

 

620

00:27:33.795 –> 00:27:35.495

we are focused on the beauty market.

 

621

00:27:35.495 –> 00:27:38.895

We’ve launched a, uh, product which is, uh,

 

622

00:27:39.065 –> 00:27:42.815

based on the polysaccharides found in seaweed, uh,

 

623

00:27:42.815 –> 00:27:45.455

in brown seaweeds, which actually the name

 

624

00:27:45.455 –> 00:27:48.095

that we rebranded the name, it’s called Big Cow Hydration.

 

625

00:27:48.595 –> 00:27:52.095

Um, and, uh, in terms of alginates, we’re, we’re making, uh,

 

626

00:27:52.095 –> 00:27:53.255

food grade sodium alginate,

 

627

00:27:53.555 –> 00:27:57.295

and, uh, we’re also making materials for, uh, packaging.

 

628

00:27:57.475 –> 00:27:59.695

So, uh, a hundred percent our goal is

 

629

00:27:59.695 –> 00:28:01.855

to use a hundred percent of the available biomass.

 

630

00:28:01.875 –> 00:28:04.415

And, uh, yeah, we’re kind of on that path.

 

631

00:28:07.085 –> 00:28:08.535

Awesome. Thank you, Matthew.

 

632

00:28:13.925 –> 00:28:18.255

So some takeaways, uh, things we learned here were

 

633

00:28:18.255 –> 00:28:22.535

that the Vincent VSH shredder is a pretty viable piece

 

634

00:28:22.535 –> 00:28:25.015

of equipment for rural primary processing.

 

635

00:28:25.435 –> 00:28:28.055

Um, we have recommended it to folks who are looking

 

636

00:28:28.055 –> 00:28:30.615

to get into this pretty inexpensively.

 

637

00:28:30.675 –> 00:28:31.895

And again, there is that try

 

638

00:28:31.895 –> 00:28:35.055

before you buy option, which is great for getting started.

 

639

00:28:35.635 –> 00:28:39.615

Um, and GreenWave is, uh, likely gonna bring in the slight,

 

640

00:28:39.715 –> 00:28:41.575

the next model up from this in our

 

641

00:28:41.575 –> 00:28:42.775

projects that we’re doing this year.

 

642

00:28:44.345 –> 00:28:48.805

Um, we also think that the throughput, even

 

643

00:28:48.875 –> 00:28:53.285

with the pretty low tech, uh, situation that we had, like

 

644

00:28:53.285 –> 00:28:54.445

with, with just buckets

 

645

00:28:54.445 –> 00:28:56.405

and barrels, is probably enough to support

 

646

00:28:57.015 –> 00:29:00.645

farms harvesting up to 250,000 pounds per season.

 

647

00:29:00.915 –> 00:29:04.485

Keeping in mind that’s not gonna be all done all in one day,

 

648

00:29:04.485 –> 00:29:07.245

that would be spreading it out over probably a four week

 

649

00:29:07.245 –> 00:29:10.325

period, but that’s gonna be enough

 

650

00:29:10.425 –> 00:29:11.925

to get a lot of people started.

 

651

00:29:12.225 –> 00:29:16.925

And, uh, helping them access the markets that are right size

 

652

00:29:16.945 –> 00:29:18.085

to where they’re, you know,

 

653

00:29:18.405 –> 00:29:19.725

starting out as beginning farmers.

 

654

00:29:21.145 –> 00:29:23.365

And another important takeaway from this is

 

655

00:29:23.365 –> 00:29:26.245

that macro ocean stabilization technique does work

 

656

00:29:26.305 –> 00:29:28.365

to preserve polysaccharides in both

 

657

00:29:28.365 –> 00:29:29.405

sugar kelp and bulk kelp.

 

658

00:29:29.405 –> 00:29:31.525

We, we were able to try to try both of those.

 

659

00:29:32.105 –> 00:29:34.005

Um, and so that’s really great news

 

660

00:29:34.005 –> 00:29:36.365

because of all of those benefits that we shared

 

661

00:29:36.365 –> 00:29:38.805

around wet ambient temperature stabilization.

 

662

00:29:40.865 –> 00:29:42.125

We also did learn some lessons,

 

663

00:29:42.265 –> 00:29:43.965

and of course, this is a joint innovation project,

 

664

00:29:44.065 –> 00:29:45.125

so that’s what it’s all about.

 

665

00:29:45.545 –> 00:29:47.605

Um, one of the big lessons that we learned is

 

666

00:29:47.605 –> 00:29:49.125

that permitting is still a bottleneck

 

667

00:29:49.145 –> 00:29:51.045

for kelp production and rural communities.

 

668

00:29:51.065 –> 00:29:53.965

So as part of this project, we, uh, had intended

 

669

00:29:54.025 –> 00:29:56.205

to source kelp from first year Alaska native

 

670

00:29:56.425 –> 00:29:58.925

and rural communities on the north end of Kodiak Island,

 

671

00:29:59.065 –> 00:30:00.365

in addition to, um,

 

672

00:30:00.365 –> 00:30:03.205

having a backup source from Alaska Ocean Farms.

 

673

00:30:03.505 –> 00:30:05.285

But unfortunately, the farmers were not able

 

674

00:30:05.285 –> 00:30:08.205

to obtain permits and time to outplant for the 2024 season.

 

675

00:30:08.705 –> 00:30:11.565

Um, and so this is still kind of a hurdle for,

 

676

00:30:11.585 –> 00:30:12.605

for them in getting started.

 

677

00:30:13.705 –> 00:30:15.845

Uh, we also learned a lot about in

 

678

00:30:15.845 –> 00:30:17.005

feed and conveyance needs.

 

679

00:30:17.185 –> 00:30:20.205

So, uh, you know, I, I talked about the, the auger

 

680

00:30:20.205 –> 00:30:21.805

to move kelp from point A to point B.

 

681

00:30:22.145 –> 00:30:25.365

Um, there’s also getting it in in a way that is efficient

 

682

00:30:25.365 –> 00:30:26.645

but doesn’t clog the machine,

 

683

00:30:27.105 –> 00:30:29.285

and that’s ergonomic for whoever’s doing it.

 

684

00:30:29.385 –> 00:30:31.845

So, you know, obviously seafood processing is,

 

685

00:30:31.845 –> 00:30:34.565

is a very manual labor activity,

 

686

00:30:34.705 –> 00:30:36.685

and it is unlikely that we will be able

 

687

00:30:36.685 –> 00:30:39.125

to take out all the labor required to process kelp,

 

688

00:30:39.385 –> 00:30:40.805

but we do still think that there is room

 

689

00:30:40.805 –> 00:30:43.085

for improvement on the in feeding conveyance,

 

690

00:30:43.085 –> 00:30:45.645

particularly if we’re trying to do really large volumes like

 

691

00:30:45.645 –> 00:30:46.965

hundreds and hundreds of thousands

 

692

00:30:46.965 –> 00:30:48.005

or even millions of pounds.

 

693

00:30:49.165 –> 00:30:53.065

And finally, as Matthew alluded to, um, we also need

 

694

00:30:53.065 –> 00:30:54.625

to do a little bit more research into how

 

695

00:30:54.625 –> 00:30:58.425

to effectively mix seaweed and reagents at larger scales.

 

696

00:30:58.885 –> 00:31:02.985

So some of the kelp that when it, um, came into contact

 

697

00:31:03.095 –> 00:31:04.905

with the reagent stabilized really well,

 

698

00:31:05.205 –> 00:31:08.945

but then we realized that the, um, that that cement mixer,

 

699

00:31:09.045 –> 00:31:11.105

uh, maybe is not, uh, you know,

 

700

00:31:11.105 –> 00:31:13.465

there was some user error, uh, in there.

 

701

00:31:13.465 –> 00:31:15.545

So it’s not perfect and, uh,

 

702

00:31:15.615 –> 00:31:17.705

that requires some iteration at small scales

 

703

00:31:17.705 –> 00:31:19.865

and even at larger scales, um, you know,

 

704

00:31:19.925 –> 00:31:21.145

if the stabilization

 

705

00:31:21.145 –> 00:31:24.425

of your seaweed is dependent on really thorough mixing,

 

706

00:31:24.725 –> 00:31:26.665

you really wanna have a system where there,

 

707

00:31:26.675 –> 00:31:28.225

there is very little room for error

 

708

00:31:28.325 –> 00:31:30.985

and that it very consistently produces the same

 

709

00:31:31.055 –> 00:31:32.705

product every single time.

 

710

00:31:33.125 –> 00:31:35.545

Um, that’s just a good business practice to make sure

 

711

00:31:35.545 –> 00:31:37.865

that you’re creating a consistent high quality product

 

712

00:31:38.005 –> 00:31:39.225

for your customers.

 

713

00:31:43.195 –> 00:31:45.285

That is all I have in terms of presentation.

 

714

00:31:46.295 –> 00:31:50.375

Um, so I will switch over

 

715

00:31:50.395 –> 00:31:51.695

to taking questions

 

716

00:31:55.935 –> 00:31:57.595

one second to bring this up.

 

717

00:32:06.505 –> 00:32:09.815

All right. Um,

 

718

00:32:11.285 –> 00:32:16.265

so our first question is from Toby Stevens Fleming.

 

719

00:32:16.925 –> 00:32:19.785

He says, you made the point that the kelp needs

 

720

00:32:19.785 –> 00:32:21.665

to be stabilized in hours, not days.

 

721

00:32:21.925 –> 00:32:25.745

To what extent does the, does this affect the final product?

 

722

00:32:27.025 –> 00:32:31.015

Uh, Matthew, do you have any interest in taking this one?

 

723

00:32:33.265 –> 00:32:38.255

Yeah, sure. I think that, uh, I think Cal,

 

724

00:32:38.435 –> 00:32:40.525

uh, anyone who’s, you know, seen it

 

725

00:32:40.525 –> 00:32:42.845

and harvested a bunch of it will notice just

 

726

00:32:42.865 –> 00:32:47.485

by looking at it, that it changes in the way that it, uh,

 

727

00:32:48.055 –> 00:32:50.285

holds together over time pretty rapidly.

 

728

00:32:50.585 –> 00:32:53.045

So within, you know, three days, you’re probably, uh,

 

729

00:32:53.045 –> 00:32:54.925

degraded most of your kelp.

 

730

00:32:55.305 –> 00:32:58.405

Uh, and so, you know, we have been studying, uh,

 

731

00:32:58.515 –> 00:33:01.685

what happens to specific compounds, uh, over time.

 

732

00:33:01.865 –> 00:33:05.285

And I think we’re sort of, of the opinion that maybe

 

733

00:33:06.055 –> 00:33:08.805

48 hours to 72 hours is probably the longest

 

734

00:33:08.835 –> 00:33:10.605

that you can leave your kelp kind

 

735

00:33:10.605 –> 00:33:12.005

of sitting there and doing nothing with it.

 

736

00:33:12.305 –> 00:33:15.045

Uh, but obviously the quicker that you stabilize it, uh,

 

737

00:33:15.045 –> 00:33:16.285

or freeze it or dry it

 

738

00:33:16.285 –> 00:33:18.805

or whatever you’re doing to it, uh, the better, um,

 

739

00:33:19.345 –> 00:33:20.845

or straight up processing it.

 

740

00:33:20.945 –> 00:33:22.125

The challenge, obviously

 

741

00:33:22.125 –> 00:33:25.325

with processing it straight away is you end up needing a

 

742

00:33:25.325 –> 00:33:29.285

very large, uh, facility to be able to get everything done,

 

743

00:33:29.345 –> 00:33:31.845

and then you’re only gonna use that for a few weeks.

 

744

00:33:32.025 –> 00:33:34.885

And so to sort of decouple production

 

745

00:33:35.025 –> 00:33:39.565

or processing from, uh, stabilizing you really trying to,

 

746

00:33:39.785 –> 00:33:41.805

uh, you know, use different techniques.

 

747

00:33:41.865 –> 00:33:45.325

And so that’s primarily what the point of stabilization was.

 

748

00:33:45.425 –> 00:33:49.245

Um, but definitely I would, I’m not the expert

 

749

00:33:49.265 –> 00:33:50.565

for what’s possible locally,

 

750

00:33:50.565 –> 00:33:53.525

but I would recommend, you know, having done something

 

751

00:33:53.595 –> 00:33:56.365

with your kelp after 48 to 72 hours.

 

752

00:33:59.045 –> 00:34:03.545

Thanks, Matthew. Um, Evie Whitten asked what make

 

753

00:34:03.545 –> 00:34:05.825

or model of dual shaft shredder did you test?

 

754

00:34:06.245 –> 00:34:09.065

Um, the, we’re able to get in touch with Toby

 

755

00:34:09.165 –> 00:34:13.505

and he says A three shred H 1800

 

756

00:34:14.245 –> 00:34:16.545

gd, which we will put in the chat

 

757

00:34:16.545 –> 00:34:20.215

because who, it might be hard

 

758

00:34:20.215 –> 00:34:21.455

to find that, just those words.

 

759

00:34:24.175 –> 00:34:26.675

Uh, another one from Toby Steven Fleming.

 

760

00:34:26.895 –> 00:34:29.315

Did the change in temperature from each location

 

761

00:34:30.175 –> 00:34:31.475

affect the stability?

 

762

00:34:32.535 –> 00:34:37.235

Um, I think you’re asking, if I could just clarify if,

 

763

00:34:37.335 –> 00:34:41.915

if you mean like the location, like New Haven versus, um,

 

764

00:34:43.025 –> 00:34:44.325

new Haven versus Kodiak,

 

765

00:34:44.425 –> 00:34:48.515

or maybe we get, get a little more clarity on that.

 

766

00:34:48.615 –> 00:34:49.795

Can he, can he unmute himself?

 

767

00:34:50.095 –> 00:34:52.155

Do we have the ability to do that? Can

 

768

00:34:52.155 –> 00:34:53.155

You hear me?

 

769

00:34:53.255 –> 00:34:55.195

Yes, we can hear you. Fantastic.

 

770

00:34:55.535 –> 00:34:59.315

Uh, it was just wondering about, so where you are, uh,

 

771

00:34:59.455 –> 00:35:02.755

in Kodiak, and then when it goes to Sacramento, if there’s,

 

772

00:35:02.755 –> 00:35:06.235

um, a big change in, in ambient temperature, um,

 

773

00:35:07.215 –> 00:35:09.435

how the stability or if the stability changes.

 

774

00:35:11.225 –> 00:35:12.755

Matthew, I’ll let you take that one too.

 

775

00:35:13.855 –> 00:35:15.795

Uh, yeah, that’s, it’s a great question.

 

776

00:35:15.795 –> 00:35:17.795

Something that we were not sure about

 

777

00:35:17.795 –> 00:35:19.435

until we saw it with our own eyes.

 

778

00:35:19.495 –> 00:35:22.795

So here in Sacramento in the summer, it’s, you know, north

 

779

00:35:22.815 –> 00:35:26.475

of 110 degrees, that’s about 40 plus Celsius.

 

780

00:35:26.895 –> 00:35:29.775

Uh, in Kodiak, I’ll speak out a ton,

 

781

00:35:29.795 –> 00:35:32.535

but it’s, it’s gonna be more in the, uh, fifties or sixties.

 

782

00:35:32.875 –> 00:35:35.855

Uh, so there’s a big swing in temperatures.

 

783

00:35:36.195 –> 00:35:39.965

Uh, we don’t really see that having any impact on, um,

 

784

00:35:40.625 –> 00:35:41.805

uh, on degradation.

 

785

00:35:42.025 –> 00:35:44.445

Things have set out most of the summer

 

786

00:35:44.545 –> 00:35:45.885

and, uh, are just fine.

 

787

00:35:46.025 –> 00:35:49.725

So, um, yeah, we, I obviously we’ve not heated things up

 

788

00:35:50.345 –> 00:35:53.045

to very high temperatures, so I wouldn’t know, uh,

 

789

00:35:53.045 –> 00:35:54.805

we don’t know that question exactly,

 

790

00:35:54.945 –> 00:35:59.485

but in terms of what we’ve seen, uh, as reasonable highs

 

791

00:35:59.485 –> 00:36:02.205

and lows, uh, we feel like it’s working pretty well.

 

792

00:36:03.805 –> 00:36:04.985

Thanks very much. Thanks.

 

793

00:36:05.285 –> 00:36:09.415

Thanks, Matthew. Um, there’s a question from Meg, Chad Sea

 

794

00:36:09.595 –> 00:36:11.015

to me and Missy.

 

795

00:36:11.555 –> 00:36:13.655

Um, did we think about the ways

 

796

00:36:13.725 –> 00:36:16.695

that wet stabilized seaweed could be dried

 

797

00:36:16.835 –> 00:36:18.335

for more efficient transportation?

 

798

00:36:18.465 –> 00:36:21.375

Since water is heavy, um,

 

799

00:36:24.315 –> 00:36:26.735

in this particular joint innovation project,

 

800

00:36:26.915 –> 00:36:29.615

we were not looking at drying.

 

801

00:36:29.755 –> 00:36:33.335

Um, but I do know that Alaska Sea Grant has, uh,

 

802

00:36:33.435 –> 00:36:35.655

did other projects this year that looked at drying.

 

803

00:36:36.275 –> 00:36:38.095

Um, Missy, I don’t know if you are available

 

804

00:36:38.395 –> 00:36:40.655

and interested in saying anything to those.

 

805

00:36:40.795 –> 00:36:44.335

No. Okay. Um, so there were a lot

 

806

00:36:44.335 –> 00:36:46.455

of joint innovation projects actually this year,

 

807

00:36:46.455 –> 00:36:50.095

this same year in, in 20 23, 20 24 that looked at drying.

 

808

00:36:50.115 –> 00:36:53.975

So all of those are gonna be posted online on the A FDF

 

809

00:36:53.975 –> 00:36:55.335

website, um, when they’re complete.

 

810

00:36:55.435 –> 00:36:56.615

And all projects are due

 

811

00:36:56.615 –> 00:36:58.135

to be completed by the end of this month.

 

812

00:36:58.315 –> 00:37:01.175

So, um, highly recommend checking those out

 

813

00:37:01.245 –> 00:37:03.415

because there are a lot of people who did look into that,

 

814

00:37:03.415 –> 00:37:05.375

but that was not part of our, our scope.

 

815

00:37:08.095 –> 00:37:11.955

Uh, Toby asks, what particle size did you achieve?

 

816

00:37:12.495 –> 00:37:16.555

Um, so the VSH shredder with the screen that we

 

817

00:37:17.385 –> 00:37:20.755

used, produced about one inch pieces.

 

818

00:37:21.305 –> 00:37:23.835

It’s not totally uniform, um,

 

819

00:37:24.015 –> 00:37:26.715

but it works for what, what we’re going for

 

820

00:37:26.715 –> 00:37:27.875

with, with macro oceans.

 

821

00:37:28.415 –> 00:37:32.035

One of the things that we really like about the VSH shredder

 

822

00:37:32.035 –> 00:37:35.195

is that that output screen can be substituted.

 

823

00:37:35.255 –> 00:37:38.035

So, uh, there, there’s, there’s a whole wide variety

 

824

00:37:38.215 –> 00:37:39.355

of screens available,

 

825

00:37:39.815 –> 00:37:43.155

and then, uh, you can even custom fabricate your own screen.

 

826

00:37:43.175 –> 00:37:45.995

And so the kelp just kind of like keeps bumping around in,

 

827

00:37:46.055 –> 00:37:48.755

in that dual, in the, um, you know,

 

828

00:37:48.755 –> 00:37:50.275

banging up against those shredder bars

 

829

00:37:50.485 –> 00:37:51.755

until it’s the right side

 

830

00:37:51.755 –> 00:37:53.275

and then it can fall out through the screen.

 

831

00:37:53.895 –> 00:37:56.195

Uh, so really customizable there.

 

832

00:37:56.455 –> 00:37:57.755

Thanks very much for that.

 

833

00:37:57.915 –> 00:38:00.115

I was just wondering, did you try any smaller screens

 

834

00:38:03.445 –> 00:38:05.785

For what we did try them leading up to this?

 

835

00:38:06.045 –> 00:38:08.185

Uh, I believe we tried them in the, in the previous year

 

836

00:38:08.295 –> 00:38:09.665

with Matthew’s work.

 

837

00:38:09.845 –> 00:38:12.065

Uh, the work we did with Matthew in, um, in New Haven

 

838

00:38:12.845 –> 00:38:14.985

and the smaller screens sort

 

839

00:38:14.985 –> 00:38:16.385

of sometimes ended up creating more

 

840

00:38:16.385 –> 00:38:18.585

of just like a mush than pieces.

 

841

00:38:19.325 –> 00:38:22.745

Um, but that is dependent on the, the type of kec too.

 

842

00:38:23.005 –> 00:38:24.905

So sugar versus bowl behaves a little bit different.

 

843

00:38:26.335 –> 00:38:28.565

Okay. Thanks very much. Yeah.

 

844

00:38:30.935 –> 00:38:32.315

Uh, Rand asks,

 

845

00:38:32.615 –> 00:38:35.445

do you have recommendations on make model of augers?

 

846

00:38:36.385 –> 00:38:40.245

Uh, we, we, uh, used our phone call to Toby again

 

847

00:38:40.625 –> 00:38:42.885

and he says, uh, that we don’t,

 

848

00:38:42.885 –> 00:38:44.285

they’re all pretty much the same.

 

849

00:38:44.745 –> 00:38:47.365

You can buy components from Granger and assemble yourself.

 

850

00:38:47.865 –> 00:38:50.605

Um, but there is also, he al uh, he has used one

 

851

00:38:50.605 –> 00:38:52.805

that he likes that is from McMaster.

 

852

00:38:58.545 –> 00:39:02.245

Uh, Daniel asked, what reagents did you use

 

853

00:39:02.245 –> 00:39:04.605

that were effective for stabilizing sugar kelp?

 

854

00:39:05.225 –> 00:39:10.155

Um, so I, I guess to generalize this question,

 

855

00:39:10.735 –> 00:39:14.075

um, the reagents that you use are dependent for

 

856

00:39:14.835 –> 00:39:16.115

whatever you’re trying to get out of it.

 

857

00:39:16.215 –> 00:39:18.835

No reagent, there’s no one size fits all reagent.

 

858

00:39:19.015 –> 00:39:22.195

The reagent is customized for what do you need to preserve

 

859

00:39:22.295 –> 00:39:25.315

and what do you not care about in terms of, uh,

 

860

00:39:25.845 –> 00:39:27.875

there there will be some kind of destruction

 

861

00:39:27.935 –> 00:39:29.475

or degradation that occurs.

 

862

00:39:29.895 –> 00:39:32.475

Um, Matthew, I don’t know if you, you would like to, oh,

 

863

00:39:32.475 –> 00:39:33.675

sorry, go ahead Daniel.

 

864

00:39:33.735 –> 00:39:36.395

Can I just quickly jump in? Assuming that you’re looking

 

865

00:39:36.495 –> 00:39:38.515

to extract the, the same kind

 

866

00:39:38.515 –> 00:39:39.955

of polysaccharides that mm-hmm.

 

867

00:39:40.135 –> 00:39:41.195

Of interest to macros

 

868

00:39:41.415 –> 00:39:45.515

and the alginic, um, which reagents proved the least

 

869

00:39:46.075 –> 00:39:47.795

destructive and therefore, you know, you’d want

 

870

00:39:47.795 –> 00:39:48.875

to be using going forward?

 

871

00:39:50.495 –> 00:39:51.785

Matthew, what object that, and then

 

872

00:39:51.785 –> 00:39:53.265

What kind of timescale are you

 

873

00:39:53.865 –> 00:39:57.945

envisioning this stabilization will last until you start

 

874

00:39:57.945 –> 00:40:01.905

to see, you know, microbial or, um, degradation or whatever?

 

875

00:40:03.525 –> 00:40:07.255

Yeah, it’s a great question. So right now we have, uh,

 

876

00:40:08.475 –> 00:40:13.135

we really targeted 12 months in terms of the longevity, uh,

 

877

00:40:13.135 –> 00:40:15.415

mostly because we wanna be able

 

878

00:40:15.415 –> 00:40:18.455

to store seaweed from one harvest to the next harvest.

 

879

00:40:18.755 –> 00:40:21.215

Um, and so that’s kind of been what we’ve proven out.

 

880

00:40:21.315 –> 00:40:25.775

Uh, we’ve tried, um, 40 different cocktails, uh,

 

881

00:40:26.315 –> 00:40:29.775

trying to optimize what we want for our application.

 

882

00:40:29.995 –> 00:40:33.975

Um, and so, you know, we’ve used all, uh, green chemistries,

 

883

00:40:34.295 –> 00:40:36.255

foodsafe ingredients, um,

 

884

00:40:36.715 –> 00:40:38.695

and things which are cost effective.

 

885

00:40:38.695 –> 00:40:41.255

And so that’s really the formula that we’ve been making.

 

886

00:40:41.795 –> 00:40:44.095

Um, right now, as I said, it’s an RD project,

 

887

00:40:44.275 –> 00:40:47.575

so we’re still, uh, making sure that, uh, you know,

 

888

00:40:47.755 –> 00:40:50.775

you go on a dog, food, anything, uh, yourself

 

889

00:40:50.795 –> 00:40:52.655

before you launch it to the public.

 

890

00:40:52.755 –> 00:40:55.335

So we haven’t, uh, you know, we haven’t commercialized this.

 

891

00:40:55.635 –> 00:40:59.495

Um, and, uh, yeah, we’re gonna work through those, uh,

 

892

00:40:59.495 –> 00:41:00.735

through the rest of the data

 

893

00:41:00.795 –> 00:41:02.535

and trials that we have planned.

 

894

00:41:02.555 –> 00:41:04.695

Before we, before we kind of take it broader,

 

895

00:41:10.825 –> 00:41:13.215

Sorry, if I could just quickly follow up on that.

 

896

00:41:13.275 –> 00:41:16.375

So do, do you plan to, um, develop that IP

 

897

00:41:16.715 –> 00:41:18.175

for yourself commercially?

 

898

00:41:18.635 –> 00:41:21.495

Or is this part of a more open source, you know,

 

899

00:41:21.495 –> 00:41:25.495

with GreenWave project that you are going to,

 

900

00:41:26.935 –> 00:41:29.075

um, you know, yeah.

 

901

00:41:29.135 –> 00:41:31.195

Is this an open source RD project

 

902

00:41:31.215 –> 00:41:33.405

or you developing commercial ip?

 

903

00:41:35.705 –> 00:41:37.035

It’s all really dependent on

 

904

00:41:37.095 –> 00:41:38.435

how the rest of our trials go.

 

905

00:41:43.395 –> 00:41:45.135

Daniel, one of the ways that we’ve been thinking about

 

906

00:41:45.135 –> 00:41:48.895

this work with macro oceans is that, um, they,

 

907

00:41:49.585 –> 00:41:53.855

macro oceans is, is seeking to scale up their processing of,

 

908

00:41:53.915 –> 00:41:55.975

of kelp into these downstream ingredients

 

909

00:41:56.175 –> 00:41:58.695

and what the market, what what the industry really needs

 

910

00:41:58.695 –> 00:42:01.495

right now is off-takers of large amounts of kelp.

 

911

00:42:02.075 –> 00:42:06.365

Um, they are incentivized to have supply.

 

912

00:42:06.625 –> 00:42:09.725

And so, uh, the, the reagents

 

913

00:42:09.725 –> 00:42:12.645

and the, the stabilization technique will be made available

 

914

00:42:12.745 –> 00:42:15.685

to the producers, um, who are going

 

915

00:42:15.685 –> 00:42:17.125

to be supplying into macro oceans,

 

916

00:42:17.125 –> 00:42:18.605

which is gonna be hundreds of thousands of pounds,

 

917

00:42:18.605 –> 00:42:19.645

if not millions of pounds.

 

918

00:42:20.265 –> 00:42:23.645

And so, um, I think that the, maybe to put,

 

919

00:42:23.645 –> 00:42:24.685

put a finer point on it,

 

920

00:42:24.805 –> 00:42:28.045

I think what’s TBD is whether this agent, the,

 

921

00:42:28.045 –> 00:42:30.125

these reagents are gonna be available to other

 

922

00:42:32.355 –> 00:42:34.795

companies making these polysaccharide products,

 

923

00:42:34.895 –> 00:42:37.315

but it will be available to the, to the producers

 

924

00:42:37.315 –> 00:42:39.915

who are able, like, who are going to have to be able

 

925

00:42:39.915 –> 00:42:42.515

to use it in rural context in order to supply

 

926

00:42:42.515 –> 00:42:44.675

to macro oceans, which is a really important,

 

927

00:42:44.675 –> 00:42:46.635

important unlock for these communities in terms

 

928

00:42:46.635 –> 00:42:48.115

of being able to, to get to market.

 

929

00:42:49.595 –> 00:42:53.125

Okay. Sorry, maybe, maybe I just add on top of that, look,

 

930

00:42:53.505 –> 00:42:57.125

one thing that is bad about tech technology you develop is

 

931

00:42:57.125 –> 00:42:58.405

if you’re not a hundred percent sure

 

932

00:42:58.545 –> 00:43:01.165

how it’s gonna work in all situations for the applications

 

933

00:43:01.165 –> 00:43:03.325

that you believe are commercially viable.

 

934

00:43:03.785 –> 00:43:05.525

Um, and so what bad looks like is

 

935

00:43:05.525 –> 00:43:09.085

to put something out there which, uh, might be very specific

 

936

00:43:09.105 –> 00:43:11.005

for us, but we don’t understand how that might work

 

937

00:43:11.285 –> 00:43:12.565

for a bio stimulant producer

 

938

00:43:12.785 –> 00:43:14.805

or how that might work in a food application.

 

939

00:43:15.225 –> 00:43:17.725

And now you have the, you know, you’ve kind of, uh,

 

940

00:43:17.985 –> 00:43:20.565

put something out there that folks feel is, um,

 

941

00:43:21.225 –> 00:43:22.245

not relevant to them.

 

942

00:43:22.545 –> 00:43:25.405

And so, you know, in order for us to truly understand,

 

943

00:43:25.705 –> 00:43:27.885

you know, how this is gonna work for other people

 

944

00:43:28.165 –> 00:43:30.285

’cause we’ve really only made it for ourselves, we have

 

945

00:43:30.285 –> 00:43:32.205

to do a couple more tests and things internally

 

946

00:43:32.305 –> 00:43:34.885

before we decide exactly how it’s gonna work.

 

947

00:43:35.125 –> 00:43:36.565

’cause it may have limited utility

 

948

00:43:36.745 –> 00:43:39.165

to people in say the bio stimulant space.

 

949

00:43:39.225 –> 00:43:41.365

And so some of the things that we’re trying to work

 

950

00:43:41.365 –> 00:43:45.245

through is exactly what the right, uh, applications are.

 

951

00:43:45.385 –> 00:43:47.285

And so that we’re, you know,

 

952

00:43:47.285 –> 00:43:48.725

if we put a technology out there,

 

953

00:43:48.725 –> 00:43:51.765

we wanna be authoritative on how to use it as opposed

 

954

00:43:51.785 –> 00:43:55.565

to just kind of, you know, letting, uh, letting people, uh,

 

955

00:43:56.265 –> 00:43:58.405

run with it and then it kind of backfires

 

956

00:43:58.405 –> 00:43:59.765

because it doesn’t work in

 

957

00:43:59.765 –> 00:44:01.325

applications that people are trying to use.

 

958

00:44:01.325 –> 00:44:02.685

Does, does that make sense? Uh,

 

959

00:44:02.685 –> 00:44:04.445

we wanna make sure it’s well out through, um,

 

960

00:44:04.445 –> 00:44:06.485

before we put it in farmer’s hands

 

961

00:44:06.485 –> 00:44:08.285

and farmers then, you know, are able

 

962

00:44:08.285 –> 00:44:10.045

to serve specific markets with it.

 

963

00:44:13.355 –> 00:44:14.865

Understood. Thank you.

 

964

00:44:17.775 –> 00:44:21.665

Awesome. Uh, Jan asked if there are any

 

965

00:44:22.225 –> 00:44:26.545

stabilization experiences with Wing or, uh, ribbon Kelp.

 

966

00:44:27.365 –> 00:44:32.045

And I will say that I have not done any, uh, or,

 

967

00:44:32.145 –> 00:44:33.285

or not aware of any,

 

968

00:44:33.305 –> 00:44:35.805

but if there’s anyone on this call that does of something,

 

969

00:44:35.805 –> 00:44:36.965

they’re welcome to chime in.

 

970

00:44:44.635 –> 00:44:46.445

Okay. We’re gonna go with that to no for now.

 

971

00:44:47.065 –> 00:44:50.605

Um, hi, can you hear me, Sarah? Yeah. Yes,

 

972

00:44:50.765 –> 00:44:51.765

I can hear you. Just

 

973

00:44:51.765 –> 00:44:55.645

from hands on experience handling raw kelp, uh,

 

974

00:44:55.805 –> 00:45:00.525

winged Cal seems to last the longest on hand.

 

975

00:45:01.225 –> 00:45:04.445

Mm-Hmm. Like versus bowl and sugar. Mm-Hmm.

 

976

00:45:04.525 –> 00:45:07.605

On its own, just standing on its own. Mm-Hmm.

 

977

00:45:07.915 –> 00:45:09.525

It’s the most stable of the three.

 

978

00:45:10.765 –> 00:45:13.245

Interesting. Yeah. Yeah, I have not done any, any,

 

979

00:45:13.545 –> 00:45:17.285

I’m not aware of any, any, um, science that has been done

 

980

00:45:17.305 –> 00:45:18.645

or any like, formal studies.

 

981

00:45:19.025 –> 00:45:20.125

So, um,

 

982

00:45:20.305 –> 00:45:22.725

but that’s great to know from, from an anecdotal perspective

 

983

00:45:22.745 –> 00:45:25.165

and hopefully maybe someone on this call will take it on

 

984

00:45:25.265 –> 00:45:27.085

as a, as a next gen innovation project

 

985

00:45:27.315 –> 00:45:28.605

comparing the, the stability.

 

986

00:45:31.855 –> 00:45:36.715

Um, cliff asked what is the final stabilized weight

 

987

00:45:37.235 –> 00:45:39.115

compared to the harvested wet weight?

 

988

00:45:40.895 –> 00:45:42.995

Um, great question.

 

989

00:45:43.555 –> 00:45:48.515

I, I don’t know that we have for firm enough data on

 

990

00:45:48.515 –> 00:45:52.385

that yet because one of the things that is,

 

991

00:45:53.645 –> 00:45:57.015

that, that still needs to be figured out is, is like how

 

992

00:45:57.015 –> 00:46:01.175

and when weighing of wet kelp should happen

 

993

00:46:01.355 –> 00:46:05.615

and what constitutes an accurate wet weight of, of kelp.

 

994

00:46:05.755 –> 00:46:08.415

So, you know, there’s surface water on the kelp as I know,

 

995

00:46:08.415 –> 00:46:10.535

you know, cliff, but there, there’s surface water on the

 

996

00:46:10.535 –> 00:46:13.335

kelp when it comes out and some of that falls off,

 

997

00:46:13.555 –> 00:46:16.385

but depending on what kind of container you put it in,

 

998

00:46:16.385 –> 00:46:17.425

we don’t really know how much.

 

999

00:46:18.005 –> 00:46:21.965

And then, um, and then it’s being processed,

 

1000

00:46:21.965 –> 00:46:25.045

then you’re losing additional, uh, you know,

 

1001

00:46:25.045 –> 00:46:27.445

so depending on the kelp sometimes like alginates are like

 

1002

00:46:27.445 –> 00:46:29.205

streaming out of it, you know, uh,

 

1003

00:46:29.205 –> 00:46:30.925

or water’s coming out of it at that point in time.

 

1004

00:46:31.145 –> 00:46:34.085

And, and then we’re adding in the reagent.

 

1005

00:46:34.225 –> 00:46:38.605

So, uh, we in this, uh, in, in both scenarios,

 

1006

00:46:39.405 –> 00:46:40.645

actually, I don’t know how, how Matthew did it,

 

1007

00:46:40.645 –> 00:46:41.765

but in the scenario with the,

 

1008

00:46:41.915 –> 00:46:46.245

with the bio stimulant customer, um, we really went by the,

 

1009

00:46:46.445 –> 00:46:48.245

finished the weight of the finished product was

 

1010

00:46:48.245 –> 00:46:52.445

what we like sold the product based on rather than the

 

1011

00:46:52.445 –> 00:46:53.565

weight of the input kelp

 

1012

00:46:53.565 –> 00:46:55.445

because it’s so hard to, to measure.

 

1013

00:46:56.105 –> 00:46:58.645

Um, and I think we, we need, we all need to,

 

1014

00:46:58.645 –> 00:47:00.205

as an industry do a little bit more work there.

 

1015

00:47:01.295 –> 00:47:03.105

Matthew, I don’t know if you have anything else you wanna

 

1016

00:47:03.105 –> 00:47:05.385

say about weight or conversions or anything like that?

 

1017

00:47:06.445 –> 00:47:07.345

No. Okay.

 

1018

00:47:10.925 –> 00:47:13.625

Um, okay.

 

1019

00:47:13.885 –> 00:47:15.345

Uh, we had some questions about

 

1020

00:47:16.545 –> 00:47:17.865

fermentation and freeze drying.

 

1021

00:47:17.885 –> 00:47:18.985

I’m gonna, I’m gonna skip that one

 

1022

00:47:18.985 –> 00:47:21.945

because we um, we, we didn’t look at either of those things,

 

1023

00:47:22.005 –> 00:47:23.745

so, so we can’t really speak to them today.

 

1024

00:47:24.365 –> 00:47:25.745

And have there been any attempts

 

1025

00:47:25.745 –> 00:47:27.625

or by requests to pelletize the raw products?

 

1026

00:47:27.705 –> 00:47:30.005

I also, that, that was not unfortunately in scope

 

1027

00:47:30.105 –> 00:47:31.765

for this, uh, project.

 

1028

00:47:33.145 –> 00:47:36.325

Um, so I’m gonna,

 

1029

00:47:36.865 –> 00:47:41.365

are there any other questions about this kind of the,

 

1030

00:47:41.465 –> 00:47:43.965

the form of ambient temperature stabilization we,

 

1031

00:47:44.225 –> 00:47:46.605

we did in this or any of the equipment that we used?

 

1032

00:47:50.815 –> 00:47:52.675

It would be, could you repeat what the, um,

 

1033

00:47:52.705 –> 00:47:55.235

ambient temperatures were, what you were working with?

 

1034

00:47:57.305 –> 00:48:00.635

Sure. Um, the temperature in Kodiak around the time

 

1035

00:48:00.665 –> 00:48:02.955

that we, that we were processing was, was a,

 

1036

00:48:03.015 –> 00:48:04.395

was in the fifties, approximately,

 

1037

00:48:04.635 –> 00:48:05.715

I would say forties and fifties.

 

1038

00:48:06.335 –> 00:48:09.915

Um, and then it was shipped to,

 

1039

00:48:11.175 –> 00:48:15.315

uh, ship to California in, gosh, that was the middle

 

1040

00:48:15.315 –> 00:48:18.035

of summer, so I’m gonna guess it was pretty hot.

 

1041

00:48:18.705 –> 00:48:19.915

Matthew, I don’t know, did we,

 

1042

00:48:19.915 –> 00:48:21.195

did there any data loggers in there

 

1043

00:48:21.195 –> 00:48:23.115

or do we know actually how hot that container got?

 

1044

00:48:24.135 –> 00:48:25.475

Uh, I don’t know about the container.

 

1045

00:48:25.635 –> 00:48:27.635

I can tell you that ambient temperatures here were

 

1046

00:48:28.865 –> 00:48:30.295

definitely north of a hundred.

 

1047

00:48:30.515 –> 00:48:32.415

We had a couple days in the a hundred tens.

 

1048

00:48:32.635 –> 00:48:36.495

Um, so I think you can safely assume that that was, uh,

 

1049

00:48:36.555 –> 00:48:38.895

at some point at that kind of temperature.

 

1050

00:48:45.905 –> 00:48:46.255

Great.

 

1051

00:48:51.035 –> 00:48:52.405

Okay. Last call for questions.

 

1052

00:48:53.065 –> 00:48:57.255

You can just come off on mute.

 

1053

00:48:57.755 –> 00:49:00.855

I’m off mute if you have a, anything, anything else to say?

 

1054

00:49:02.585 –> 00:49:04.635

Hi Sam. Hi,

 

1055

00:49:04.635 –> 00:49:05.635

This is Kayani.

 

1056

00:49:06.485 –> 00:49:09.145

Hi Kaya. Hi. Great presentation. Thank you.

 

1057

00:49:09.925 –> 00:49:13.795

Thank you. Um, I had a question.

 

1058

00:49:14.015 –> 00:49:16.835

Was it, was there an audit of the, of the power used at

 

1059

00:49:16.835 –> 00:49:18.035

that place too as well?

 

1060

00:49:18.815 –> 00:49:21.595

Uh, ’cause I’m doing some things in, in with folks

 

1061

00:49:22.095 –> 00:49:24.715

and we’re wildly different across the state on

 

1062

00:49:24.715 –> 00:49:26.875

what the prices are for electricity

 

1063

00:49:27.655 –> 00:49:29.235

and fuel and stuff like that.

 

1064

00:49:29.335 –> 00:49:32.315

Was there any information on that where you guys were

 

1065

00:49:33.175 –> 00:49:34.175

Yeah, great question.

 

1066

00:49:34.565 –> 00:49:36.705

We did not look at the, we did not measure the power

 

1067

00:49:36.705 –> 00:49:38.865

that was used from the facility.

 

1068

00:49:39.645 –> 00:49:43.665

And one of the things that, uh, is great about the machine

 

1069

00:49:43.735 –> 00:49:45.585

that we chose the VSH shredder is

 

1070

00:49:45.585 –> 00:49:48.985

that it can take almost any kind of power input.

 

1071

00:49:49.045 –> 00:49:52.185

You know, there are that the smaller model requires much

 

1072

00:49:52.185 –> 00:49:54.105

less power than, than like the dual

 

1073

00:49:54.105 –> 00:49:55.265

shaft shredder, for example.

 

1074

00:49:55.965 –> 00:50:00.545

Um, and so I can get you additional power specs on that, um,

 

1075

00:50:00.565 –> 00:50:03.705

if it would be helpful, but it’s, it’s pretty versatile

 

1076

00:50:04.085 –> 00:50:08.355

and, um, you know, the, the main,

 

1077

00:50:09.665 –> 00:50:12.405

you know, we, that was the only piece, uh, other than the,

 

1078

00:50:12.405 –> 00:50:15.005

that uh, right angle drill, that was the only piece

 

1079

00:50:15.005 –> 00:50:16.525

of powered equipment in

 

1080

00:50:16.525 –> 00:50:18.765

that entire processing line if you’re gonna keep it small

 

1081

00:50:18.765 –> 00:50:19.805

with like the buckets and the

 

1082

00:50:19.805 –> 00:50:20.965

barrels and that sort of thing.

 

1083

00:50:21.065 –> 00:50:23.805

So, um, thank you for bringing that up.

 

1084

00:50:23.885 –> 00:50:25.805

I think that’s a really good thing to look at for,

 

1085

00:50:25.865 –> 00:50:27.005

for future studies and,

 

1086

00:50:27.705 –> 00:50:29.925

and, uh, I’ll get you what, what we do know for sure.

 

1087

00:50:30.485 –> 00:50:33.045

O okay. Thank you. ’cause we’ve got questions on folks too

 

1088

00:50:33.045 –> 00:50:36.005

to see if they can use their auxiliary on their on Yep.

 

1089

00:50:36.005 –> 00:50:38.125

Because there’s a lot of communities that have packers that

 

1090

00:50:38.705 –> 00:50:42.045

may be able to do this whole thing on the packer itself Yep.

 

1091

00:50:42.225 –> 00:50:44.525

Uh, to get away from, uh, municipal power.

 

1092

00:50:44.825 –> 00:50:48.685

So, um, thank you. Exactly. Thank you very much. Um, you’re,

 

1093

00:50:48.785 –> 00:50:49.785

You’re very welcome.

 

1094

00:50:49.995 –> 00:50:52.125

Hope you have a great day. Awesome. All you guys. You too.

 

1095

00:50:52.125 –> 00:50:55.275

Thank you. Sam.

 

1096

00:50:55.335 –> 00:50:56.355

Amy, go ahead. Yeah,

 

1097

00:50:56.385 –> 00:50:58.595

Yeah, just a follow up to, to Kayla’s question.

 

1098

00:50:58.855 –> 00:51:02.195

So when you say it’s flexible, um, am I correct in,

 

1099

00:51:02.335 –> 00:51:05.795

in the knowledge that it can be adapted for

 

1100

00:51:06.495 –> 00:51:07.715

one 20 or two 40?

 

1101

00:51:10.005 –> 00:51:11.305

Uh, great question.

 

1102

00:51:13.015 –> 00:51:15.655

I I don’t wanna, I

 

1103

00:51:16.655 –> 00:51:18.015

I will get you that, uh, information.

 

1104

00:51:18.055 –> 00:51:19.055

I don’t wanna say the wrong thing,

 

1105

00:51:19.075 –> 00:51:21.455

but I, I believe I, I, I don’t,

 

1106

00:51:21.495 –> 00:51:23.495

I think it may prefer two 40,

 

1107

00:51:23.875 –> 00:51:28.465

but, um, I am not a power expert,

 

1108

00:51:28.685 –> 00:51:29.785

so I would like to get you that

 

1109

00:51:29.785 –> 00:51:30.825

information offline. Okay. Yeah,

 

1110

00:51:30.925 –> 00:51:31.785

No, no worries. Thanks.

 

1111

00:51:32.415 –> 00:51:32.705

Yeah.

 

1112

00:51:39.695 –> 00:51:42.675

Hi, Sam. Sorry. Got another question. Why not All good.

 

1113

00:51:43.395 –> 00:51:47.055

Um, the, the shredder. Yeah.

 

1114

00:51:47.235 –> 00:51:49.535

How did it operate under, or,

 

1115

00:51:49.555 –> 00:51:52.775

or were there any advice given from the supplier under

 

1116

00:51:52.835 –> 00:51:54.255

longer runs?

 

1117

00:51:55.415 –> 00:51:57.435

So I’m asking that because some of the shredding equipment

 

1118

00:51:57.435 –> 00:51:59.595

that I’ve been looking at, they say it’s, it’s not suitable

 

1119

00:51:59.735 –> 00:52:01.155

for continuous operation.

 

1120

00:52:02.045 –> 00:52:05.655

Yeah. This was operated pretty continuously.

 

1121

00:52:05.795 –> 00:52:08.455

Um, if you look on their website, they do have a certain,

 

1122

00:52:08.725 –> 00:52:11.135

they, they do, uh, publish the amount

 

1123

00:52:11.965 –> 00:52:16.105

that they recommend per the, the volume per hour.

 

1124

00:52:16.285 –> 00:52:18.945

And then I think, I think they do have an hour runtime,

 

1125

00:52:19.085 –> 00:52:23.545

but we ran ours for I think five hours continuously.

 

1126

00:52:23.925 –> 00:52:26.265

Um, which, which is a pretty decent shift.

 

1127

00:52:26.605 –> 00:52:30.685

Uh, and there were no issues with that.

 

1128

00:52:30.905 –> 00:52:33.845

The only time we ever had to stop

 

1129

00:52:33.845 –> 00:52:37.405

because of the machine was if we loaded too much

 

1130

00:52:37.515 –> 00:52:38.565

kelp in at one time.

 

1131

00:52:38.905 –> 00:52:41.805

So the kelp, when you’re putting it in,

 

1132

00:52:42.855 –> 00:52:44.915

you obviously wanna be maximizing throughput,

 

1133

00:52:44.915 –> 00:52:49.355

but you know, it is still a, a rotating, you know,

 

1134

00:52:49.355 –> 00:52:50.395

you have a rotating shaft

 

1135

00:52:50.395 –> 00:52:52.995

and if you put too much in two things can happen.

 

1136

00:52:53.095 –> 00:52:55.675

It, number one, it can clog, or number two,

 

1137

00:52:55.675 –> 00:52:57.315

because of the shape of the chute,

 

1138

00:52:57.375 –> 00:53:00.795

the kelp can actually kind of bridge like it can, it can

 

1139

00:53:01.405 –> 00:53:02.595

stick to itself

 

1140

00:53:02.735 –> 00:53:07.675

and not actually go down the, the, uh, the neck of the chute

 

1141

00:53:07.735 –> 00:53:10.155

and then you kind of have to shove it down with some kind

 

1142

00:53:10.155 –> 00:53:12.155

of pusher that while also being safe

 

1143

00:53:12.175 –> 00:53:13.475

so you don’t get your hand chopped off.

 

1144

00:53:13.935 –> 00:53:17.195

Um, so that was the only real, uh,

 

1145

00:53:17.565 –> 00:53:18.875

those were the only two challenges.

 

1146

00:53:18.895 –> 00:53:22.355

Um, the clogging only happened, uh, sort of intentionally.

 

1147

00:53:22.375 –> 00:53:23.475

We were trying to max it out

 

1148

00:53:23.475 –> 00:53:24.835

and see how, how much, how much,

 

1149

00:53:25.005 –> 00:53:26.805

much kelp could we physically shove into

 

1150

00:53:26.805 –> 00:53:28.925

this thing at, at one time. Um,

 

1151

00:53:29.775 –> 00:53:30.775

Okay. Thanks very

 

1152

00:53:30.775 –> 00:53:31.125

much.

 

1153

00:53:31.945 –> 00:53:32.185

Absolutely.

 

1154

00:53:37.045 –> 00:53:40.935

Okay. Um, I’m gonna, I’m gonna call it, thank you so much

 

1155

00:53:40.935 –> 00:53:42.495

for your excellent questions and engagement.

 

1156

00:53:42.495 –> 00:53:43.895

This was really a great session.

 

1157

00:53:44.595 –> 00:53:48.335

Um, we will be sending out a recording of this webinar.

 

1158

00:53:48.515 –> 00:53:50.495

We will also be sending out all of the resources

 

1159

00:53:50.495 –> 00:53:53.535

that we created as part of this joint innovation project.

 

1160

00:53:53.705 –> 00:53:57.375

Thank you so much to A FDF, uh, for funding this

 

1161

00:53:57.475 –> 00:54:00.335

and to all of our project partners for making this happen.

 

1162

00:54:00.555 –> 00:54:03.095

Uh, I know we learned a lot and we’re really excited about

 

1163

00:54:03.475 –> 00:54:05.215

the possibilities this could open up for others,

 

1164

00:54:05.755 –> 00:54:07.215

uh, building on this research.

 

1165

00:54:07.595 –> 00:54:11.255

Um, please, uh, if you are not already, you can sign up

 

1166

00:54:11.275 –> 00:54:15.135

to hear more about the Spotlight series from GreenWave

 

1167

00:54:15.155 –> 00:54:16.935

and from about our Far Farmer forum.

 

1168

00:54:17.555 –> 00:54:18.815

All of these are really in depth,

 

1169

00:54:19.335 –> 00:54:20.495

tangible topics in the industry.

 

1170

00:54:20.675 –> 00:54:22.055

And, um, you guys are,

 

1171

00:54:22.275 –> 00:54:23.855

are the special sauce that makes the magic happen.

 

1172

00:54:23.915 –> 00:54:27.415

So thank you for being here and we will see you all soon.

 

1173

00:54:30.945 –> 00:54:33.245

Thanks. Bye. Thank you.