Difference between revisions of "Team:Calgary/Human Practices"

Line 908: Line 908:
 
             green seed. Dallas Gade further confirmed that valuable byproducts could be useful to offset expensive input costs.
 
             green seed. Dallas Gade further confirmed that valuable byproducts could be useful to offset expensive input costs.
 
             Pheophorbide a is a natural catabolite of chlorophyll that  
 
             Pheophorbide a is a natural catabolite of chlorophyll that  
             has been investigated recently for its photosensitizing abilities in experimental anti-cancer (Xodo et al., 2012) and anti-fungal treatments.
+
             has been investigated recently for its photosensitizing abilities in experimental anti-cancer (Xodo et al., 2012) and anti-fungal treatments (Liang et al.,2016).
 
             Seeing how lucrative the product is, we decided to  
 
             Seeing how lucrative the product is, we decided to  
 
             genetically engineer part of the chlorophyll degradation pathway in <i> E. coli </i> to produce pheophorbide a.
 
             genetically engineer part of the chlorophyll degradation pathway in <i> E. coli </i> to produce pheophorbide a.
Line 982: Line 982:
 
                 </div>
 
                 </div>
 
                 <div class="modal-body">
 
                 <div class="modal-body">
                   <p>Dr. Gijs van Rooijen is the current Chief Scientific Officer of Genome Alberta. He obtained his MSc in Molecular Sciences from the Agricultural University in Wageningen and a PhD in Plant Molecular Biology from the University of Calgary. Dr. Gijs worked for SemBioSys Genetics and (co)authored and co(invented) 25 issued patents in the US.
+
                   <p>Dr. Gijs van Rooijen is currently the Chief Scientific Officer of <dfn>Genome Alberta</dfn>. He obtained his MSc in Molecular Sciences from the Agricultural University in Wageningen and a PhD in Plant Molecular Biology from the University of Calgary. Dr. Gijs worked for SemBioSys Genetics and (co)authored and co(invented) 25 issued patents in the US.
 
                     <br><br> The goal of the meeting was to obtain a professional opinion regarding the value and feasibility of the project, and the issues we would face in terms of its execution. We also wanted to talk more about enzyme essays for our specific proteins.
 
                     <br><br> The goal of the meeting was to obtain a professional opinion regarding the value and feasibility of the project, and the issues we would face in terms of its execution. We also wanted to talk more about enzyme essays for our specific proteins.
                     <br><br> Dr. Gijs expressed concerns about scaling up our project idea, especially since we are using proteins and purifying them with His tags which would be very expensive in the long run. He had some reservations with binding affinity to chlorophyll and yielding enough CBP from E.coli to make it worthwhile. Additionally, loss of product at each step would be inevitable.  He stated that 10% of the work is the proof of concept but 90% is the optimization. In terms of biotechnology, a project would have more value if the technology is something “people are screaming for”. We should also consider whether the stakeholders are looking for innovation or whether they are happy with the status quo. To make a successful startup, “Helping farmers is a noble goal” but at the end of the day you need to deal with people looking at spreadsheets. Dr. Gijs suggested testing pheophorbide on breast cancer cell lines, or other potential applications to increase the value of the project. Being a plant biotechnologist he thinks that genetic modification at the crop level would be the best solution because it is best to tackle a problem at the base level. Ultimately, Dr. Gijs thought we would face many hurdles to develop the project into a commercial system.
+
                     <br><br> Dr. Gijs expressed concerns about scaling up our project idea, especially since we are using proteins and purifying them with His tags which would be very expensive in the long run. He had some reservations with binding affinity to chlorophyll and yielding enough chlorophyll binding protein from E.coli to make it worthwhile. Additionally, loss of product at each step would be inevitable.  He stated that 10% of the work is the proof of concept but 90% is the optimization.
 +
                    In terms of biotechnology, a project would have more value if the technology is something “people are screaming for”.  
 +
                    We should also consider whether the stakeholders are looking for innovation or whether they are happy with the status quo.
 +
                      To make a successful startup, “Helping farmers is a noble goal” but at the end of the day you need to deal with people looking at spreadsheets.  
 +
                      Dr. Gijs suggested testing pheophorbide on breast cancer cell lines, or other potential applications to increase the value of the project.
 +
                      Being a plant biotechnologist he thinks that genetic modification at the crop level would be the best solution because it is best to tackle a problem at the base level.
 +
                        Ultimately, Dr. Gijs thought we would face many hurdles to develop the project into a commercial system.
 
                     <br><br></p>
 
                     <br><br></p>
 
                 </div>
 
                 </div>
Line 998: Line 1,004:
 
           </div>
 
           </div>
 
           <p>
 
           <p>
             Craig, Angela, and Ward, stressed two major hurdles farmers face when they produce and sell their seeds to oil processors;
+
             Craig, Angela, and Ward, stressed two major hurdles farmers face when they produce and sell their seeds to oil processors:
             the unpredictable weather and the unstandardized seed grading system. We turned to computation as a solution to address  
+
             unpredictable weather and unstandardized seed grading practices. We turned to computation as a solution to address  
             these problems. Current weather forecasts cannot predict weather 3-4 months into the future, preventing farmers from  
+
             both problems. Current weather forecasts cannot predict weather 3-4 months into the future, preventing farmers from  
             employing agronomic techniques that could save their crops. Therefore, we wanted to see if we could design a long-term  
+
             employing <dfn>agronomic</dfn> techniques that could save their crops. This drove us to design a long-term weather prediction system  
            weather prediction system for farmers to use.
+
            to give farmers the tools they need to make the right choices.
 
             <br><br>
 
             <br><br>
             The current grading system involves a worker manually crushing a batch of 500 seeds and identifying each seed's colour based on a colour chip.
+
             The current seed grading system involves a worker manually crushing a batch of 500 seeds and identifying each seed's colour based on a <dfn>colour chip</dfn>.
 
             The percentage of green seeds found denotes the grade of the batch, with a lower grade indicating higher green seed content.  
 
             The percentage of green seeds found denotes the grade of the batch, with a lower grade indicating higher green seed content.  
 +
            Higher green seed percentage means that a farmer's harvest is sold at a discount to grain elevators, effectively taking money out of their pockets.
 
             This process is very subjective, as it relies on the human eye to determine colour, and therefore grade.  
 
             This process is very subjective, as it relies on the human eye to determine colour, and therefore grade.  
 
             Farmers need a standardized system that will produce the same result every time, so they do not incur loss due to human subjectivity.
 
             Farmers need a standardized system that will produce the same result every time, so they do not incur loss due to human subjectivity.
Line 1,058: Line 1,065:
 
                 </div>
 
                 </div>
 
                 <div class="modal-body">
 
                 <div class="modal-body">
                   <p>               1. Do you believe there is value to standardize % Distinctly Green Seed with a tool?
+
                   <p>
 +
                    Jeff Danielson is the Manager of Grain Inspection for Viterra Inc. Viterra is Canada's largest grain handler, so it was essential to get feedback
 +
                    on our proposed seed grading platform, as it would directly affect their workflow. Jeff was kind enough to respond to our questions over email.
 +
                   
 +
                    <br><br><b>1. Do you believe there is value to standardize % Distinctly Green Seed with a tool?</b>
 
                     <br><br>Yes, a more uniform result that removes the variability of individuals perception of color would be beneficial.
 
                     <br><br>Yes, a more uniform result that removes the variability of individuals perception of color would be beneficial.
  
Line 1,098: Line 1,109:
 
                 </div>
 
                 </div>
 
                 <div class="modal-body">
 
                 <div class="modal-body">
                   <p> The team talked with Dr. Alim to gain some more context on certain aspects of the seed grading project. Namely, we wished to learn about methods of analyzing digital colour information and relating it to cut-off points based on a colour chip. This is due to the fact that current seed grading is done by comparing seed smears to a physical colour chip. As Dr. Alim’s areas of interest include applications of signal processing to computer graphics and visualization, he was quite helpful in pointing us in the right direction.
+
                   <p> Dr. Usman Alim is an Associate Professor and Director of the Data Science program at the University of Calgary.
                     <br><br>Dr. Alim initially brought up deep learning approaches like with convolutional neural networks, but the team explained that a lack of labelled seed data precluded this methodology from being used. As an alternative, Dr. Alim suggested using clustering methodologies to identify pixel clusters for yellow seeds and distinctly green seeds, even if arbitrary cut-off surfaces needed to be applied. These clusters would utilize different colour spaces, as colour spaces are essentially data transforms. Additionally, Dr. Alim brought up the Lab colourspace, as it designed so that even small differences in values correspond with human-visible differences. Unfortunately, when exploring the colour spaces of the seeds, there was too much data and too much overlap in pixel values between seeds for clustering methods to be applied. However, examination of different colour spaces revealed that they could be represented as geometric volumes, leading to the current approach of using colour space distance calculations for pixel analysis.
+
                    The team talked with Dr. Alim to gain some more context on certain aspects of the seed grading project.
 +
                    Namely, we wished to learn about methods of analyzing digital colour information and relating it to cut-off points based on a <dfn>colour chip</dfn>.  
 +
                   
 +
                    As Dr. Alim’s research background into applications of signal processing to computer graphics and visualization made him an ideal contact to influence <dfn>Mean Green Machine</dfn>.
 +
                     <br><br>Dr. Alim initially brought up deep learning approaches like with convolutional neural networks,
 +
                    but the team explained that a lack of labelled seed data precluded this methodology from being used.  
 +
                    As an alternative, Dr. Alim suggested using <dfn>clustering</dfn> methodologies to identify pixel clusters for yellow seeds and distinctly green seeds,
 +
                      even if arbitrary cut-off surfaces needed to be applied. These clusters would utilize different colour spaces, as colour spaces are essentially data transforms.
 +
                      Unfortunately, when exploring the colour spaces of the seeds, there was too much data and too much overlap in pixel values between seeds for clustering methods to be applied.  
 +
                      However, examination of different colour spaces revealed that they could be represented as geometric volumes,
 +
                      leading to the current approach of using colour space distance calculations for pixel analysis.
 
                   </p>
 
                   </p>
 
                 </div>
 
                 </div>
Line 1,370: Line 1,391:
 
               <h1>References</h1>
 
               <h1>References</h1>
 
               <ol type="1">
 
               <ol type="1">
                 <li><p class ="hangingindent">E Xodo, L., Rapozzi, V., Zacchigna, M., Drioli, S., & Zorzet, S. (2012). The chlorophyll catabolite pheophorbide a as a photosensitizer for the photodynamic therapy. Current medicinal chemistry, 19(6), 799-807.</p></li>
+
                 <li><p class ="hangingindent">E Xodo, L., Rapozzi, V., Zacchigna, M., Drioli, S., & Zorzet, S. (2012).
 +
                  The chlorophyll catabolite pheophorbide a as a photosensitizer for the photodynamic therapy. Current medicinal chemistry, 19(6), 799-807.</p></li>
 +
                  <li><p class ="hangingindent">Liang, Y. I., Lu, L. M., Chen, Y., & Lin, Y. K. (2016).
 +
                    Photodynamic therapy as an antifungal treatment. Experimental and therapeutic medicine, 12(1), 23-27.</p></li>
 
                 </ol>
 
                 </ol>
 
             </div>
 
             </div>

Revision as of 23:39, 21 October 2019

Human Practices

Solutions for Real People

Human Centered Design

How can we solve problems that affect people?

Providing a solution to the green seed problem could be the key to alleviating losses felt by those in the canola industry. Our team’s vision was to make yOIL that solution. In order to do so, we had to ensure that we created something that was effective, usable, and targeted areas which impacted people the most. The only way to achieve this goal, was to integrate our end-users in creating our solutions.

We utilized a human-centered design process and identified a set of steps to guide our work. This lead to integration with key stake holders throughout the project lifecycle, and ultimately the all-encompassing solutions found in yOIL.

1. Understand the Problem

Key Stakeholder Interviews

Before BioBrick design and lab work began, there were questions we needed answered. We needed to know what exactly the green seed issue entails. How large it is? Who does it impact? What is being done to stop it?

To answer these questions, we identified four groups of people that we needed to speak with. Our primary research indicated that there are two main entities impacted by the green seed issue: farmers and oil producers. In addition to those two, we also identified agronomists and organizational bodies working within the canola oil industry. From here, we initiated conversations about the green seed issue and discussed how we could utilize synthetic biology as a solution.



What did we discover?

Through our discussions with these industry members, we learned that every stage of canola oil production faces tremendous losses due to the green seed problem. We can think of these stages as part of a pipeline.



With a consumer market desiring pure oil, the green seed problem forces the players in the production pipeline to somehow deal with the green oil produced.


Farmers have no tools to plan for unexpected frost or drought, and gamble their harvest every year on unpredictable whether.

Leading to farmers inevitably producing green seeds, which get downgraded and are sold at a lower price.

The process to grade green seeds is not standardized or objective, making the system less fair.

Oil processors are forced to spend more time and money to purify the oil produced from the green seeds they receive, the archaic acid-activated clay purification method is unsustainable.


Every person we talked to asserted the impact green seed has had on them and emphasized the need for new solutions that would mitigate the losses incurred.

2. Ideate

Propose solutions and verify their need

Having identified and understood the multiple adverse aspects of the green seed problem, our team began brainstorming solutions.

After discussing and analyzing our stakeholders' needs, we decided on two synthetic biology solutions and one engineering based solution. These are all aimed at the oil processing stage where current methods are expensive, result in oil loss, and are not environmentally friendly.

To discover more about these solutions, click on the buttons below.




The above solutions focused on the oil processing stage. However, after hearing stories from farmers like Craig about their losses due to green seed, we were determined to help them as well.

Preventing green seed entirely would be the most beneficial solution for farmers, but we knew that was infeasible in our time frame. We determined that we could help them by creating software and hardware solutions that help with crop management and seed grading.

To learn about these software and hardware solutions, click on the buttons below.




Verifying need - Canolapalooza



Midway through the summer, we were lucky enough to be able to attend canolaPALOOZA. An annual event held in Lacombe, Alberta, canolaPALOOZA is the “agronomy event of the summer” where canola experts from all over the prairies come together to discuss all things canola. Everyone from farmers, agronomists, mycologists and even an undergraduate iGEM team from the University of Calgary descended on a lone canola field in Leduc to talk shop.

Many of our initial contacts, including Ward Toma and Dr. Barthet, were in attendance, in addition to many others. It was an excellent opportunity for us to propose our ideas to a wide cross-section of the canola industry, and get feedback on the commercial viability of our solutions. The event was extremely valuable because this is where we about the fungal infestations currently affecting canola crops in Alberta. A fortuitous meeting which would give us the inspiration to repurpose chlorophyll into an anti-fungal agent.

This event lead to a connection with the Canadian Grain Commission, who expressed their interest in the standard seed grading system. They informed us that there had been a similar project in the past that was successful, but got scrapped due to its cost. This inspired us to make our standardized grading machine as inexpensive as possible.

Having already decided to convert captured chlorophyll to pheophorbide, we then dedicated additional efforts to researching the affect of pheophorbide on fungal infestations affecting canola.

To learn about this process, click the button below.




3. Design Solutions

Expert consultations

With the need for our solutions verified, it was time for us to put shovels in the ground ( or bacteria on the agar) and begin designing yOIL. Our development would be agile and adaptable. Continually meeting with stakeholders and integrating feedback throughout the design process to ensure yOIL holistically embodies the needs of everyone involved in the canola oil pipeline.

1) Chlorophyll Extraction System

The clay method is not reusable, environmentally friendly, or selective to chlorophyll, thus, we needed to come up with an improved solution. Proteins are organic and are made to be highly specific to their substrate, so we thought to design a system that utilized a protein to capture chlorophyll, but we weren’t confident as to which chlorophyll-binding protein to use, how it could be used in an oil environment, and what other considerations to be aware of.

To answer these questions, we spoke to protein bio-chemists, micro-biologists, plant biologists, and chemical engineers who gave us insight into how to design our system.

2) Chlorophyll Repurposing

Chlorophyll cannot be removed from the acid-activated clay chlorophyll after it is bound; however, by using chlorophyll binding proteins the chlorophyll can be released after. In our initial discussions with Ward Toma, he suggested that repurposing chlorophyll could bring new revenue into the canola industry and mitigate some of the losses caused by green seed. Dallas Gade further confirmed that valuable byproducts could be useful to offset expensive input costs. Pheophorbide a is a natural catabolite of chlorophyll that has been investigated recently for its photosensitizing abilities in experimental anti-cancer (Xodo et al., 2012) and anti-fungal treatments (Liang et al.,2016). Seeing how lucrative the product is, we decided to genetically engineer part of the chlorophyll degradation pathway in E. coli to produce pheophorbide a.

Producing functional eukaryotic enzymes in bacteria can be a challenge, especially those involved in a specific pathway. We decided to talk to a microbial biochemistry and a plant biotechnologist about the feasibility of our idea.



3) Tools for the farmers

Craig, Angela, and Ward, stressed two major hurdles farmers face when they produce and sell their seeds to oil processors: unpredictable weather and unstandardized seed grading practices. We turned to computation as a solution to address both problems. Current weather forecasts cannot predict weather 3-4 months into the future, preventing farmers from employing agronomic techniques that could save their crops. This drove us to design a long-term weather prediction system to give farmers the tools they need to make the right choices.

The current seed grading system involves a worker manually crushing a batch of 500 seeds and identifying each seed's colour based on a colour chip. The percentage of green seeds found denotes the grade of the batch, with a lower grade indicating higher green seed content. Higher green seed percentage means that a farmer's harvest is sold at a discount to grain elevators, effectively taking money out of their pockets. This process is very subjective, as it relies on the human eye to determine colour, and therefore grade. Farmers need a standardized system that will produce the same result every time, so they do not incur loss due to human subjectivity. We sought expert advice to build a machine that can solve this problem.

4. Evaluate

Pheophorbide- A unique solution to an industry problem

Attending CanolaPALOOZA allowed us to evaluate our project to see if we were effectively accomplishing our goal of helping the canola industry. Overall, we got very positive feedback on our projects, but we did learn about other problems the industry faces aside from green seed. Canola suffers from a fungal disease caused by Sclerotinia sclerotiorum leading to huge losses in crop yield annually (REFERENCE???) . This was interesting to us because our product, pheophorbide, is an anti-fungal agent that could be used to address this problem.

We decided to further investigate the effect S. sclerotiorum has on the canola industry (particularly on the farmers) and how we could use pheophorbide as a unique solution to combat it.

5. Iterate on Design

Further improving our project design

We are dedicated to improving our solutions to better serve the people in our community. We have made it our mission to involve our stakeholders and academic advisors in the ideation, design, and testing of our solutions.

To do this, we hosted a mid-summer faculty talk, inviting the experts we consultated with earlier in the project. Additionally, with our tools for the farmers, we met with the Canadian Grain Commission to perform testing of our standardized seed grading machine. Our weather prediction model is undergoing peer-review at Alberta Academic Review with the goal of being published and made available to the academic community for other researchers to improve.

Faculty Talk

Once we consolidated and incorporated the advice from our expert consultations with professors, and canola industry members, we were able to design and define the various wet and dry lab projects encompassing yOIL. From here, we decided to host a mid-summer faculty talk to get further feedback on our experimental design and current progress. Supervisors, past iGEM Calgary members, and our business contacts, and the aforementioned professor were also invited to the presentation to give us feedback on the feasibility of our projects.

Overall, we received positive feedback on our dry and wet lab projects. The biochemistry and microbiology professors we invited confirmed that our T7-inducible genetic circuit with BL21 was simple and well characterized for protein production. However, we were informed that our signal peptides may not be as efficient as extracting the protein from the cell lysate, but would be a good future direction to consider. Additionally, we got a few specific comments about the emulsion system on how to improve it where to get more information about how to design efficient emulsions. However, the general use of an emulsion-system was well received and we were commended for considering the steps necessary for its industrial scale-up (we have this right). A few professors also gave suggestions on how to improve the lab experiments we planned for chlorophyll repurposing. We initially thought to add ethanol to the chlorophyll binding proteins to release chlorophyll, but we were given alternative solutions that would instead temporarily weaken the protein’s structure to release chlorophyll. Additionally, the use of a magnesium utilizing protein was an idea given to characterize an enzyme in the chlorophyll degradation pathway.

In conclusion, we were able to take the advice we received from our meetings at the beginning of our project to create clear wet lab and dry lab components each with a defined experimental workflow. The faculty talk was an opportunity for us to concisely present our plans to recieve expert feedback again, and iteratively improve our project design.


Canadian Grain Commission

To verify field implementation of the standardized seed grading project into industry, we went to visit seed grading experts Romeo Honorio and Scott Kippin from the Canadian Grain Commission (CGC). We met Romeo at where they explained current attempts to standardize seed grading. Our visit allowed us to have large graded seed samples from the experts, that way we can base our grading algorithm on their counts. They also provided significant feedback on standardizing the grading conditions. At the CGC office all the walls were a specific grey, and the grading tables another specific grey, and the light fixtures were at very controlled intensities and highly diffused. These design considerations were embraced by standardized grading machine to allow for a better prototype. Another piece of learned information is that farmers do not care about specific percentages of DGR, only the final grade as that is their paycheck. Grain elevators, oil refineries, and crushers are significantly invested in knowing the exact percentage of the grade as it directly affects the final product canola oil. Even if we started this project by hearing about a farmer's grievance with the grading system, our project would have serious effects throughout the canola pipeline. So we learned that whilst farmers would benefit from our invention, the other cogs in the canola industry would be more significantly affected by the standardization of DGR grading.

Another piece of information that we learned is that there exists some machines that can grade chlorophyll successfully on the market, but they are usually slow, and cost upwards of 40,000-60,000 dollars which is more than what grain elevators are willing to pay. Romeo liked our machine but wishes it will be taken further both in algorithm quality and user-oriented hardware design, especially in terms of the speed at which it is built. He also emphasized buying the best camera possible as the camera affects the entire project, hopefully an infrared camera to help us have better readings, they also suggested a future direction of grading wheat as the current methods are even more prone to human error than canola.

References

  1. E Xodo, L., Rapozzi, V., Zacchigna, M., Drioli, S., & Zorzet, S. (2012). The chlorophyll catabolite pheophorbide a as a photosensitizer for the photodynamic therapy. Current medicinal chemistry, 19(6), 799-807.

  2. Liang, Y. I., Lu, L. M., Chen, Y., & Lin, Y. K. (2016). Photodynamic therapy as an antifungal treatment. Experimental and therapeutic medicine, 12(1), 23-27.