Team:UC Davis
From 2014.igem.org
(38 intermediate revisions not shown) | |||
Line 1: | Line 1: | ||
{{Team:UC_Davis/Head}} | {{Team:UC_Davis/Head}} | ||
+ | {{Team:UC_Davis/projectMenu}} | ||
<html> | <html> | ||
<head> | <head> | ||
Line 9: | Line 10: | ||
<div> | <div> | ||
<img src="https://static.igem.org/mediawiki/2014/2/2f/Oliview_UCD_Banner_1.png" class="banner" width="967px" height="226/"> | <img src="https://static.igem.org/mediawiki/2014/2/2f/Oliview_UCD_Banner_1.png" class="banner" width="967px" height="226/"> | ||
+ | </div> | ||
+ | <!--Project Menu Start--> | ||
+ | <div class="mainTitleHeader"> | ||
+ | <p class="centertext"><a href="https://2014.igem.org/Team:UC_Davis/Project_Overview"> | ||
+ | Project Overview</a> | ||
+ | </p> | ||
</div> | </div> | ||
- | <div class=" | + | <div class="floatboxProjectMenu"> |
- | < | + | <a href="https://2014.igem.org/Team:UC_Davis/Policy_Practices_Overview"><div class="polPrac"></div></a/> |
- | + | <a href="https://2014.igem.org/Team:UC_Davis/Protein_Engineering"><div class="ProEng"></div></a/> | |
- | </ | + | <a href="https://2014.igem.org/Team:UC_Davis/Electrochemistry"><div class="Electro"></div></a/> |
- | < | + | <a href="https://2014.igem.org/Team:UC_Davis/Potentiostat_Design"><div class="menuPStat"></div></a/> |
- | + | <a href="https://2014.igem.org/Team:UC_Davis/Signal_Processing"><div class="sProcessing"></div></a/> | |
- | </div></ | + | </div> |
+ | <!--Project Menu End--> | ||
- | < | + | <div class="mainTitleHeader"> |
- | + | <p class="centertext"> | |
- | </ | + | OliView: An Enzyme Based Electrochemical Biosensor Developed for Olive Oil Quality Control |
- | <div> | + | </p> |
+ | </div> | ||
+ | |||
+ | <div class="mainContainer"> | ||
+ | <a href="https://2014.igem.org/Team:UC_Davis/Policy_Practices_Overview"> | ||
+ | <img src="https://static.igem.org/mediawiki/2014/4/43/UCDavis2014_Paper_Cover.png" class="genpicfloatleft" width="350px"></img> | ||
+ | </a> | ||
<p> | <p> | ||
- | + | 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> | |
- | + | 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> | |
- | + | <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> | |
- | + | ||
- | + | ||
- | + | ||
- | + | ||
- | + | ||
</p> | </p> | ||
</div> | </div> | ||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
</body> | </body> | ||
</html> | </html> |
Latest revision as of 05:45, 24 November 2014
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