Difference between revisions of "Team:WPI Worcester/Results"

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<h1>Results</h1>
 
<h1>Results</h1>
<img src="https://static.igem.org/mediawiki/2017/1/17/WPI_Worcester_2017_Lead_Assay_Graph_with_Outliers.png" alt="Lead Assay Graph with Outliers" style="width:800px;height:428px;">
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<h3>Biosensor Results</h3>
<br><br>
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<p>
<img src="https://static.igem.org/mediawiki/2017/0/06/WPI_Worcester_2017_Lead_Assay_Graph_without_Outliers.png" alt="Lead Assay Graph without Outliers" style="width:800px;height:500px;">
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<p>Here you can describe the results of your project and your future plans. </p>
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</p>
  
<h5>What should this page contain?</h5>
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<h3>Probiotic Results</h3>  
<ul>
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<p>
<li> Clearly and objectively describe the results of your work.</li>
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<li> Future plans for the project. </li>
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<li> Considerations for replicating the experiments. </li>
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</ul>
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<h5>You should also describe what your results mean: </h5>
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</p>
 
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<ul>
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<li> Interpretation of the results obtained during your project. Don't just show a plot/figure/graph/other, tell us what you think the data means. This is an important part of your project that the judges will look for. </li>
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<li> Show data, but remember all measurement and characterization data must be on part pages in the Registry. </li>
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<li> Consider including an analysis summary section to discuss what your results mean. Judges like to read what you think your data means, beyond all the data you have acquired during your project. </li>
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</ul>
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</div>
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<div class="clear"></div>
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<div class="column half_size" >
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<h5> Project Achievements </h5>
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<p>You can also include a list of bullet points (and links) of the successes and failures you have had over your summer. It is a quick reference page for the judges to see what you achieved during your summer.</p>
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<ul>
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<li>A list of linked bullet points of the successful results during your project</li>
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<li>A list of linked bullet points of the unsuccessful results during your project. This is about being scientifically honest. If you worked on an area for a long time with no success, tell us so we know where you put your effort.</li>
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</ul>
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</div>
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<div class="column half_size" >
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<h5>Inspiration</h5>
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<p>See how other teams presented their results.</p>
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<ul>
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<li><a href="https://2014.igem.org/Team:TU_Darmstadt/Results/Pathway">2014 TU Darmstadt </a></li>
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<li><a href="https://2014.igem.org/Team:Imperial/Results">2014 Imperial </a></li>
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<li><a href="https://2014.igem.org/Team:Paris_Bettencourt/Results">2014 Paris Bettencourt </a></li>
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</ul>
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<h3> Lead Assay Results</h3>
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<p>
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The goal of the lead assay was to have a colorimetric assay that we could use to measure how much lead lactobacillus was actually removing from water. It was needed because other lead-water testing uses equipment we do not have access to and sending it for testing is both expensive and not recommended because we are intentionally putting bacteria in our samples. The assay was read in a plate reader in a 96-well plate. The absorbance was the result of interactions between glutathione, 20nm gold nanoparticles, and lead. The solution started a light pink color, and as an increasing amount of lead was present the solution would change to a darker purple-blue color. Before deciding that this assay would not be appropriate for our project, we did extensive assay development experiments to try to address its variability. We tried different protocols, optimized wavelength on available machinery for water, MRS, and LB, optimized GSH concentration for water, MRS, and LB, optimized pH of the solution and of the phosphate buffer for water, MRS, and LB, tried various lead concentrations, optimized type of gold nanoparticles, optimized how dilutions were made, optimized making of the GSH solution, and optimized reading time frames. In addition to this, we also found that readings were more accurate when the assay was done row by row, the gold nanoparticles were kept cold, and when the GSH and gold nanoparticles were added within 20 seconds of one another. We tried vortexing the samples before reading them; we double and triple checked the math for each dilution, and we considered doing a standard curve each time as if it were a Bradford Assay. Despite all of our work, the standard curve that was developed was not stable enough to accurately determine the concentration of known-unknown samples, and the assay could not be used in our project. Some of our graphs can be seen below:
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</p>
 +
<img src="https://static.igem.org/mediawiki/2017/1/17/WPI_Worcester_2017_Lead_Assay_Graph_with_Outliers.png" alt="Lead Assay Graph with Outliers" style="width:800px;height:428px;">
 +
<p> This graph shows one of our preliminary standard curves. Absorbance is on the y-axis, and lead concentration in parts per billion is on the x-axis. It shows that as the lead concentration increases so does the absorbance. Four samples were read per point on the graph, and the average of the four was used in the graph. The error bars on this graph looked very promising because of the limited overlap.
 +
</p>
 +
<br><br>
 +
<img src="https://static.igem.org/mediawiki/2017/0/06/WPI_Worcester_2017_Lead_Assay_Graph_without_Outliers.png" alt="Lead Assay Graph without Outliers" style="width:800px;height:500px;">
 
</div>
 
</div>
  

Revision as of 15:12, 13 October 2017


Results

Biosensor Results

Probiotic Results

Lead Assay Results

The goal of the lead assay was to have a colorimetric assay that we could use to measure how much lead lactobacillus was actually removing from water. It was needed because other lead-water testing uses equipment we do not have access to and sending it for testing is both expensive and not recommended because we are intentionally putting bacteria in our samples. The assay was read in a plate reader in a 96-well plate. The absorbance was the result of interactions between glutathione, 20nm gold nanoparticles, and lead. The solution started a light pink color, and as an increasing amount of lead was present the solution would change to a darker purple-blue color. Before deciding that this assay would not be appropriate for our project, we did extensive assay development experiments to try to address its variability. We tried different protocols, optimized wavelength on available machinery for water, MRS, and LB, optimized GSH concentration for water, MRS, and LB, optimized pH of the solution and of the phosphate buffer for water, MRS, and LB, tried various lead concentrations, optimized type of gold nanoparticles, optimized how dilutions were made, optimized making of the GSH solution, and optimized reading time frames. In addition to this, we also found that readings were more accurate when the assay was done row by row, the gold nanoparticles were kept cold, and when the GSH and gold nanoparticles were added within 20 seconds of one another. We tried vortexing the samples before reading them; we double and triple checked the math for each dilution, and we considered doing a standard curve each time as if it were a Bradford Assay. Despite all of our work, the standard curve that was developed was not stable enough to accurately determine the concentration of known-unknown samples, and the assay could not be used in our project. Some of our graphs can be seen below:

Lead Assay Graph with Outliers

This graph shows one of our preliminary standard curves. Absorbance is on the y-axis, and lead concentration in parts per billion is on the x-axis. It shows that as the lead concentration increases so does the absorbance. Four samples were read per point on the graph, and the average of the four was used in the graph. The error bars on this graph looked very promising because of the limited overlap.



Lead Assay Graph without Outliers