Team:UTDallas

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Enlisting E. Scherichia Holmes: A modular whole-cell biosensor for the detection of environmental pollutants
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===Project Abstract===
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Recalcitrant pollutants such as petroleum constituents and nitrates are regularly introduced to the environment through oil spills, natural geological seepage and eutrophication. The UN’s flagship water protection initiative enumerates a host of health risks associated with these chemicals. UT Dallas iGEM addresses the eminent need to mitigate their circulation by developing novel whole-cell biosensors that can detect alkanes, aromatics and nitrates and execute combinatorial logic, feedback and noise-reduction functions inspired by synthetic biology. This work has wide ranging applications requiring a cheap chemical sensor that can dynamically process heterogeneous inputs and express a user-friendly output.
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===Track Selection===
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Top three track choices:
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#Environment
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#Foundational Advance
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#Information Processing
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''Tell us more about your project.  Give us background.  Use this as the abstract of your project.  Be descriptive but concise (1-2 paragraphs)''
 
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!align="center"|[[Team:UTDallas|Home]]
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!align="center"|[[Team:UTDallas/Team|Team]]
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!align="center"|[https://igem.org/Team.cgi?year=2010&team_name=UTDallas Official Team Profile]
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!align="center"|[[Team:UTDallas/Project|Project]]
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!align="center"|[[Team:UTDallas/Parts|Parts Submitted to the Registry]]
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!align="center"|[[Team:UTDallas/Modeling|Modeling]]
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Latest revision as of 02:21, 28 October 2010


Enlisting E. Scherichia Holmes: A modular whole-cell biosensor for the detection of environmental pollutants


Project Abstract

Recalcitrant pollutants such as petroleum constituents and nitrates are regularly introduced to the environment through oil spills, natural geological seepage and eutrophication. The UN’s flagship water protection initiative enumerates a host of health risks associated with these chemicals. UT Dallas iGEM addresses the eminent need to mitigate their circulation by developing novel whole-cell biosensors that can detect alkanes, aromatics and nitrates and execute combinatorial logic, feedback and noise-reduction functions inspired by synthetic biology. This work has wide ranging applications requiring a cheap chemical sensor that can dynamically process heterogeneous inputs and express a user-friendly output.

Track Selection

Top three track choices:

  1. Environment
  2. Foundational Advance
  3. Information Processing