|
|
Line 37: |
Line 37: |
| </div> | | </div> |
| | | |
- | <!--Begin Showbox-->
| |
- | <div class="floatboxwide">
| |
- | <table class="showboxwide">
| |
- | <tr>
| |
- | <td>
| |
- | <div>
| |
- | <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>
| |
- | </div>
| |
| | | |
- | <!--End Showbox-->
| |
| | | |
| </body> | | </body> |
| </html> | | </html> |
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.
Read full version of our practice and policy report