Team:Cornell/testing/project
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- | <div class="twelve columns"> | + | <div class="twelve columns no-pad" style="margin-bottom:20px;"> |
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<div class="eleven centered columns panel"> | <div class="eleven centered columns panel"> | ||
- | <h3 class="centered" style="margin:0px"> | + | <h3 class="centered" style="margin:0px"> We have developed a novel biosensor intended for continuous monitoring of water quality in areas affected by oil and gas extraction.</h3> |
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<div class="row" style="margin-top:20px;"> | <div class="row" style="margin-top:20px;"> | ||
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- | + | Canadian oil sands are a vast oil reserve that, given rising prices of petroleum, are an attractive alternative to traditional sources of crude oil. However, there are numerous public health and environmental concerns regarding the oil sands extraction process. One environmental concern is the contamination of Canadian watersheds by seepage from tailings ponds. To better monitor this issue, we have engineered a novel biosensing platform with the electroactive bacterial species Shewanella oneidensis MR-1, which has the unique capability to directly transfer electrons to solid-state electrodes. We exploit this feature by genetically manipulating S. oneidensis MR-1 to upregulate its metal-reduction capacity in the presence of analyte to generate direct current output in a whole-cell biosensor. Our goal is to develop a fully autonomous electrochemical biosensor that complements the current oil sands monitoring system by providing real-time data over extended periods of time. Furthermore, our device will circumvent the costs and complications of producing and maintaining photodiode circuits used for data acquisition in bioluminescent reporter systems by instead producing a direct electrical output. While our platform is adaptable to sensing a wide range of analytes, we will initially focus on arsenic-containing compounds and naphthalene,a polycyclic aromatic hydrocarbon (PAH) – known contaminants of oil sands tailings ponds. We believe that our biosensor will be a valuable tool for remote,continuous, and long-term monitoring of pollutants in rivers and key watersheds. | |
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- | <a href="https://2012.igem.org/Team:Cornell/testing/project/wetlab/3/1">Arsenic | + | <a href="https://2012.igem.org/Team:Cornell/testing/project/wetlab/3/1">Arsenic Reporter</a> |
</li> | </li> | ||
<li> | <li> | ||
- | <a href="https://2012.igem.org/Team:Cornell/testing/project/wetlab/3/2">Salicylate | + | <a href="https://2012.igem.org/Team:Cornell/testing/project/wetlab/3/2">Salicylate Reporter</a> |
</li> | </li> | ||
</ul> | </ul> | ||
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Testing & Results | Testing & Results | ||
<ul> | <ul> | ||
+ | <li> <a href="https://2012.igem.org/Team:Cornell/testing/project/wetlab/4/7">Parts</a> | ||
+ | </li> | ||
<li> | <li> | ||
<a href="https://2012.igem.org/Team:Cornell/testing/project/wetlab/4/1">Reactors</a> | <a href="https://2012.igem.org/Team:Cornell/testing/project/wetlab/4/1">Reactors</a> | ||
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<a href="https://2012.igem.org/Team:Cornell/testing/project/wetlab/6">Animation</a> | <a href="https://2012.igem.org/Team:Cornell/testing/project/wetlab/6">Animation</a> | ||
+ | </li> | ||
+ | </ul> | ||
+ | </div> | ||
+ | </div> | ||
+ | <div class="row"> | ||
+ | <div class="twelve columns"> | ||
+ | <h4 class="centered">Dry Lab</h4> | ||
+ | <ul> | ||
+ | <li> | ||
+ | <a href="https://2012.igem.org/Team:Cornell/testing/project/drylab/1">Overview</a> | ||
+ | </li> | ||
+ | <li> | ||
+ | <a href="https://2012.igem.org/Team:Cornell/testing/project/drylab/2">Specifications</a> | ||
+ | </li> | ||
+ | <li> | ||
+ | <a href="https://2012.igem.org/Team:Cornell/testing/project/drylab/3">Design</a> | ||
+ | </li> | ||
+ | <li> | ||
+ | <a href="https://2012.igem.org/Team:Cornell/testing/project/drylab/4">Modeling</a> | ||
+ | </li> | ||
+ | <li> | ||
+ | <a href="https://2012.igem.org/Team:Cornell/testing/project/drylab/6">Animation</a> | ||
+ | </li> | ||
+ | <li> | ||
+ | <a href="https://2012.igem.org/Team:Cornell/testing/project/drylab/5">Gallery</a> | ||
</li> | </li> | ||
</ul> | </ul> | ||
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- | <a href="https://2012.igem.org/Team:Cornell/testing/project/hprac/1">Comprehensive Environmental | + | <a href="https://2012.igem.org/Team:Cornell/testing/project/hprac/1">Comprehensive Environmental Assessment</a> |
</li> | </li> | ||
+ | <li> | ||
+ | <a href="https://2012.igem.org/Team:Cornell/testing/project/hprac/5">Bioethics</a> | ||
+ | </li> | ||
<li> | <li> | ||
<a href="https://2012.igem.org/Team:Cornell/testing/project/hprac/2">Application: Oil Sands</a> | <a href="https://2012.igem.org/Team:Cornell/testing/project/hprac/2">Application: Oil Sands</a> | ||
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Latest revision as of 07:02, 17 October 2012
We have developed a novel biosensor intended for continuous monitoring of water quality in areas affected by oil and gas extraction.
Canadian oil sands are a vast oil reserve that, given rising prices of petroleum, are an attractive alternative to traditional sources of crude oil. However, there are numerous public health and environmental concerns regarding the oil sands extraction process. One environmental concern is the contamination of Canadian watersheds by seepage from tailings ponds. To better monitor this issue, we have engineered a novel biosensing platform with the electroactive bacterial species Shewanella oneidensis MR-1, which has the unique capability to directly transfer electrons to solid-state electrodes. We exploit this feature by genetically manipulating S. oneidensis MR-1 to upregulate its metal-reduction capacity in the presence of analyte to generate direct current output in a whole-cell biosensor. Our goal is to develop a fully autonomous electrochemical biosensor that complements the current oil sands monitoring system by providing real-time data over extended periods of time. Furthermore, our device will circumvent the costs and complications of producing and maintaining photodiode circuits used for data acquisition in bioluminescent reporter systems by instead producing a direct electrical output. While our platform is adaptable to sensing a wide range of analytes, we will initially focus on arsenic-containing compounds and naphthalene,a polycyclic aromatic hydrocarbon (PAH) – known contaminants of oil sands tailings ponds. We believe that our biosensor will be a valuable tool for remote,continuous, and long-term monitoring of pollutants in rivers and key watersheds.
Wet Lab
- Overview
- Chassis
- DNA Assembly
- Testing & Results
- Future work
- Animation