Team:UC Davis

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Project Description
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Project Overview</a>
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More than 65% of imported extra virgin olive oil is defective due to poor handling or deliberate adulteration with extraneous, non-beneficial oils. The most prevalent and identifying defect in olive oil is rancidity, indicating the absence of expected health benefits such as antioxidants and polyunsaturated fats. This summer, we are assembling a biosensor capable of quickly and cheaply evaluating rancidity defects in the chemical profile of olive oil, providing both consumers and retailers with a means of ensuring product quality.
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Current methods for detecting defects in olive oil are complicated and time-consuming. The current gold standard, GC-MS, is slow and expensive. In addition, most biosensors are limited to detecting one analyte at a time, restricting the scope of their utility in food science. Our team is developing a biosensor which couples enzyme engineering with fundamental principles of electrochemistry to engineer an instrument capable of identifying multiple analytes in a sample and their corresponding concentrations. We have identified straight-chain, aliphatic aldehydes of varying chain lengths as indicators of rancidity in olive oil. Just as a glucose meter utilizes enzymes to quantify the amount of glucose in a sample, we are using the same principles to quantify the concentration of different aldehyde species in olive oil. Where a glucose meter utilizes one type of enzyme to identify one analyte, we are engineering a panel of enzymes to identify a myriad of aldehyde species. In separate reactions, each enzyme will have a narrow substrate specificity profile, only reacting with aldehydes of a specific chain length to produce a detectable byproduct. The byproduct created by each enzyme may be effectively quantified through our electrochemical platform. By coupling and multiplexing these enzymes with several electrochemical cells, our electrochemical biosensor will simultaneously identify and quantify multiple indicators of rancidity in olive oil.
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Our modular electrochemical biosensor may identify the chemical profile of compounds in a sample of olive oil. This will provide a rapid, accurate assessment of oil quality, allowing consumers and retailers to cheaply and effectively distinguish between healthy and defective olive oil. Producers, packagers, and retailers may pre-screen oil with our device to confirm oil quality. Given the lack of certified quality control entities in the U.S., the development of a widely accessible device will enable the olive oil industry to effectively regulate, monitor, and safeguard its reputation.
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OliView: An Enzyme Based Electrochemical Biosensor Developed for Olive Oil Quality Control
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                    <a href="https://2013.igem.org/Team:UC_Davis/Project_Overview"><h3>Project Overview</h3></a>
 
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                    <p>Learn about how we combine riboswitches and TALs into robust orthogonal mechanisms for    inducible repression.
 
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                    <p>Check out the cool results of our experiments with RiboTALs. <br />
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In a report conducted by the UC Davis Olive Oil Center, it was found that more than 65% of the extra virgin olive oil on shelves around the US is defective due to poor handling or deliberate adulteration with extraneous, non-beneficial oils. The most prevalent and identifying defect in olive oil is rancidity, indicating the absence of expected health benefits such as antioxidants and polyunsaturated fats. This summer, we engineered a biosensor capable of quickly and cheaply evaluating rancidity defects in the chemical profile of olive oil, providing both consumers and retailers with a means of ensuring product quality.<br><br>
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                            <a href="https://2013.igem.org/Team:UC_Davis/AndersonPromoters"><img src="https://static.igem.org/mediawiki/2012/e/ee/Svn12_hp_new.png" class="checkmark"></a><p>We also made the Anderson promoter family controllable through induction with RiboTALs.</p>
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The project consisted of four components: Protein Engineering, Electrochemistry, Development of a user friendly potentiostat and signal processing. We were able to provide proof of concept for each component  of our device. With each component combined,  we had a fully functional electrochemical biosensor that could distinguish rancid olive oil from fresh. <br><br>
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                    <p>Take a look at how we promote sharing in iGEM through The Depot, an open BioBrick characterization database.<br />
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                        <a href="http://dilbert.cs.ucdavis.edu/Depot" class="bold">Visit the Depot!</a>
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              <a href="https://2013.igem.org/Team:UC_Davis/Criteria"><h3>Judging Criteria</h3></a>
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                    <p>Here's the criteria that we met for this year's team.  
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<a href="https://static.igem.org/mediawiki/2014/0/07/UC_Davis_iGEM_2014_Practical_Implications_for_the_Development_and_Deployment_of_Engineered_Biosensors_in_Olive_Oil_Production.pdf" class="brightlink">Read full version of our practice and policy report</a><br>
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Latest revision as of 05:45, 24 November 2014

UC Davis iGEM 2014

Project Overview

OliView: An Enzyme Based Electrochemical Biosensor Developed for Olive Oil Quality Control

In a report conducted by the UC Davis Olive Oil Center, it was found that more than 65% of the extra virgin olive oil on shelves around the US is defective due to poor handling or deliberate adulteration with extraneous, non-beneficial oils. The most prevalent and identifying defect in olive oil is rancidity, indicating the absence of expected health benefits such as antioxidants and polyunsaturated fats. This summer, we engineered a biosensor capable of quickly and cheaply evaluating rancidity defects in the chemical profile of olive oil, providing both consumers and retailers with a means of ensuring product quality.

The project consisted of four components: Protein Engineering, Electrochemistry, Development of a user friendly potentiostat and signal processing. We were able to provide proof of concept for each component of our device. With each component combined, we had a fully functional electrochemical biosensor that could distinguish rancid olive oil from fresh.

Read full version of our practice and policy report

Retrieved from "http://2014.igem.org/Team:UC_Davis"