Team:UC Davis
From 2014.igem.org
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+ | <a href="https://2014.igem.org/Team:UC_Davis/Protein_Engineering"> | ||
+ | <img src="https://static.igem.org/mediawiki/2014/1/10/Protein_box_UCD_2014.png" class="blur"> | ||
+ | </a> | ||
+ | </div> | ||
+ | <a href="https://2014.igem.org/Team:UC_Davis/Protein_Engineering"><h3>Protein Engineering</h3></a> | ||
+ | <p>Learn about how we engineered substrate specificity of Aldehyde Dehydrogenases and how we characterized specificity profiles. | ||
+ | </p> | ||
+ | </a> | ||
+ | </td> | ||
+ | <td> | ||
+ | <a href="https://2014.igem.org/Team:UC_Davis/Electrochemistry"> | ||
+ | <img src="https://static.igem.org/mediawiki/2014/6/65/Square_electrode_photo_UCD_igem_2014.jpg" class="blur"> | ||
+ | </a> | ||
+ | <a href="https://2014.igem.org/Team:UC_Davis/Electrochemistry"> | ||
+ | <h3>Electrochemistry</h3> | ||
+ | </a> | ||
+ | <p>Take a look at how we developed a robust, coupleable electrochemical system to enable detection of various aldehydes in solution. | ||
+ | </td> | ||
+ | </tr> | ||
+ | <tr> | ||
+ | <td> | ||
+ | <a href="https://2014.igem.org/Team:UC_Davis/Potentiostat_Design"> | ||
+ | <img src="https://static.igem.org/mediawiki/2014/6/6d/UCD_2014_potentiostat_square.jpg" class="blur" /> | ||
+ | <!--img src="https://static.igem.org/mediawiki/2013/9/97/UCD_2013_HO_Button.jpg" class="blur"--> | ||
+ | </a> | ||
+ | <a href="https://2014.igem.org/Team:UC_Davis/Potentiostat_Design"> | ||
+ | <h3>Signal Processing</h3> | ||
+ | </a> | ||
+ | <p>Take a look at the potentiostat and corresponding software we developed to acquire and process our data. | ||
+ | </p> | ||
+ | </td> | ||
+ | <td> | ||
+ | <a href="https://2014.igem.org/Team:UC_Davis/Criteria"> | ||
+ | <img src="https://static.igem.org/mediawiki/2013/f/f3/Judgingbutton_UCDavis.jpg" class="blur"> | ||
+ | </a> | ||
+ | <a href="https://2014.igem.org/Team:UC_Davis/Criteria"> | ||
+ | <h3>Results</h3> | ||
+ | </a> | ||
+ | <p>Here's the criteria that we met for this year's team. | ||
+ | </p> | ||
+ | </td> | ||
+ | </tr> | ||
+ | </table> | ||
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Revision as of 11:55, 17 October 2014
OliView: An Enzyme Based Electrochemical Biosensor Developed for Olive Oil Quality Control
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.
Protein EngineeringLearn about how we engineered substrate specificity of Aldehyde Dehydrogenases and how we characterized specificity profiles. |
ElectrochemistryTake a look at how we developed a robust, coupleable electrochemical system to enable detection of various aldehydes in solution. |
Signal ProcessingTake a look at the potentiostat and corresponding software we developed to acquire and process our data. |
ResultsHere's the criteria that we met for this year's team. |