Difference between revisions of "Team:XMU-China/Description"

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{{XMU-China}}
 
 
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<title>2017.igem.org/Team:XMU-China/Description</title>
  
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<body style="background-color:#FFFFFF;" background="https://static.igem.org/mediawiki/2017/c/cb/T--XMU-China--homebackground.png";>
<h1>Description</h1>
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<p>Tell us about your project, describe what moves you and why this is something important for your team.</p>
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<h5>What should this page contain?</h5>
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<li class="dropdown" id="Home">
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<a href="https://2017.igem.org/Team:XMU-China"><img src="https://static.igem.org/mediawiki/2017/9/9a/T--XMU-China--iconhome.png"></a></li>
<li> A clear and concise description of your project.</li>
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<li>A detailed explanation of why your team chose to work on this particular project.</li>
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<li class="dropdown" id="Project">
<li>References and sources to document your research.</li>
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<a>PROJECT</a>
<li>Use illustrations and other visual resources to explain your project.</li>
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<ul style="dropdown-menu">
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<li><a href="https://2017.igem.org/Team:XMU-China/Description">Description</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/Design">Design</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/Demonstrate">Demonstrate</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/Results">Results</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/Applied_Design">Applied&nbsp;Design</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/Parts">Parts</a></li>
 
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<a>NOTEBOOK</a>
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<li><a href="https://2017.igem.org/Team:XMU-China/Notebook">Notebook</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/Experiments">Experiments</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/Engineering">Engineering</a></li>
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</ul>
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</li>
  
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<a>HARDWARE</a>
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<li><a href="https://2017.igem.org/Team:XMU-China/Hardware">Overview</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/Freeze-Dry">Freeze-Dry</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/East-Wind">East-Wind</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/Accessories">Accessories</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/More_Chips">More&nbsp;Chips</a></li>
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<a>MODEL</a>
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<li><a href="https://2017.igem.org/Team:XMU-China/Model">Overview</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/Modeling">Modeling</a></li>
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</ul>
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</li>
  
<h5>Advice on writing your Project Description</h5>
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<a>HUMAN&nbsp;PRACTICES</a>
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<li><a href="https://2017.igem.org/Team:XMU-China/Human_Practices">Overview</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/HP/Silver">Silver</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/HP/Gold_Integrated">Gold</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/Engagement">Engagement</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/Entrepreneurship">Entrepreneurship</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/Collaborations">Collaborations</a></li>
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</li>
  
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We encourage you to put up a lot of information and content on your wiki, but we also encourage you to include summaries as much as possible. If you think of the sections in your project description as the sections in a publication, you should try to be consist, accurate and unambiguous in your achievements.  
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<a>OTHER&nbsp;WORK</a>
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<li><a href="https://2017.igem.org/Team:XMU-China/InterLab">Interlab</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/Contribution">Contribution</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/Improve">Improve</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/Measurement">Measurement</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/Safety">Safety</a></li>
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</ul>
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</li>
  
<p>
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<li class="dropdown" id="Team">
Judges like to read your wiki and know exactly what you have achieved. This is how you should think about these sections; from the point of view of the judge evaluating you at the end of the year.
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<a>TEAM</a>
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<li><a href="https://2017.igem.org/Team:XMU-China/Team">Team</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/Attributions">Attributions</a></li>
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<li><a href="https://2017.igem.org/Team:XMU-China/Judging">Judging</a></li>
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</ul>
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</li>  
  
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</ul>
 
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<div class="menu-list"><a href="#subtitle1">Background</a></div>
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<div class="menu-list"><a href="#subtitle2">Abstract</a></div>
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<h5>References</h5>
 
<p>iGEM teams are encouraged to record references you use during the course of your research. They should be posted somewhere on your wiki so that judges and other visitors can see how you thought about your project and what works inspired you.</p>
 
  
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<h5>Inspiration</h5>
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<p>See how other teams have described and presented their projects: </p>
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<ul>
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<span  class="blank" id="subtitle1"></span><span class="subtitle" >--------* Background *--------</span>
<li><a href="https://2016.igem.org/Team:Imperial_College/Description">2016 Imperial College</a></li>
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<p>Toxic ions pollution in water has long plagued people. How to detect the concentration of toxic ions and how to decrease the detection limit as much as possible have become a challenging task.<br /><br />
<li><a href="https://2016.igem.org/Team:Wageningen_UR/Description">2016 Wageningen UR</a></li>
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The most common and sensitive methods of detecting trace toxic ions today are based on instrumental analysis, such as Atomic Absorption Spectrometry(AAS) and Inductive Coupled Plasma Emission Spectrometer(ICP), however, these methods require expensive instruments, and the operation is cumbersome as well. Hence the applications of these methods are limited to professional testing organizations and scientific research institutions. In addition, although there have been test paper, detection kits and other low-cost products which can be used to detect toxic ions, they also face the problems such as low efficiency, poor sensitivity, and tedious process. Thus the existing detection technology is not suitable for the general population to use.<br /><br />
<li><a href="https://2014.igem.org/Team:UC_Davis/Project_Overview"> 2014 UC Davis</a></li>
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Although there were many iGEM teams trying to design a variety of detecting systems to detect pollutants as the same as us, they might have many defections such as the detection limit is high and that the detection time is long. In order to find a better way of detecting comparably small quantities of toxic ions, methods such as the biological signal-amplifiers, the microfluidic chips and the portable hardware are of great importance and practical significance. .<br /><br />
<li><a href="https://2014.igem.org/Team:SYSU-Software/Overview">2014 SYSU Software</a></li>
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An interesting method to detect the concentration of ions using <em>Escherichia coli</em> is to select the corresponding ion-sensitive promoters binding with the reporter genes like the fluorescent protein genes. By constructing this kind of recombinant plasmids, the concentration signal can be transferred into a semi-quantitatively detectable signal like electric current and so on. However, the detection limit is extremely low that only high level accumulation of toxic ions in the environment can be detected. To solve this problem, we aimed to construct an amplifier to detect the concentration of the toxic ions including the ions <strong>semi-quantitativly</strong> with small volume.<br /><br />
</ul>
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<span class="descriptionimg" style="display:inline-block;width:100%;text-align:center;"><img class="descriptionimg1" style="width:60%;" src="https://static.igem.org/mediawiki/2017/d/db/T--XMU-China--descriptionimg1.png"></span></p>
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<span class="blank"  id="subtitle2"></span>
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<span class="subtitle">--------* Abstract *--------</span>
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<p>A sensitive detector for harmful ions in water based on a chip<br /><br />
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<span class="descriptionimg" style="display:inline-block;width:100%;text-align:center;"><img class="descriptionimg2" style="width:60%;" src="https://static.igem.org/mediawiki/2017/d/d0/T--XMU-China--hpoverviewimg2.jpeg"></span><br /><br />
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Arsenic contamination in drinking water has long been a serious problem in many countries throughout the world, including China and the US. In this circumstance, XMU-China hopes to provide a sensitive and user-friendly device to detect arsenic in water and a microfluid chip is designed and produced to achieve our goal. The chip is an arsenic detector containing genetically modified E.coli that is able to express green fluorescent protein or lacZ in response to a certain range of arsenic concentration of arsenic. By calibrating the fluorescence intensity or current strength caused by luciferase or lacZ respectively, a whole range of arsenic levels in water can be detected.<br /><br />
 +
We also plan to use this chip model to detect other harmful ions such as iron and mercury. To simplify the process, we will adopt a certain universal approach by constructing a common intermediate which can eliminate the differences among detection of different harmful ions. And T7 induced expression system is used to realize the effect of amplifying the signal in response to these ions. What’s more, we try to explore potential application of iLOV, a kind of small FMN-based fluorescent protein, to detect and recycle these harmful ions because of its inherent, binding properties towards them with high affinity.</p>
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<p>Xiamen University, Fujian, China<br />
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No. 422, Siming South Road, Xiamen, Fujian, P. R. China 361005</p>
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Latest revision as of 03:37, 2 November 2017

2017.igem.org/Team:XMU-China/Description

--------* Background *--------

Toxic ions pollution in water has long plagued people. How to detect the concentration of toxic ions and how to decrease the detection limit as much as possible have become a challenging task.

The most common and sensitive methods of detecting trace toxic ions today are based on instrumental analysis, such as Atomic Absorption Spectrometry(AAS) and Inductive Coupled Plasma Emission Spectrometer(ICP), however, these methods require expensive instruments, and the operation is cumbersome as well. Hence the applications of these methods are limited to professional testing organizations and scientific research institutions. In addition, although there have been test paper, detection kits and other low-cost products which can be used to detect toxic ions, they also face the problems such as low efficiency, poor sensitivity, and tedious process. Thus the existing detection technology is not suitable for the general population to use.

Although there were many iGEM teams trying to design a variety of detecting systems to detect pollutants as the same as us, they might have many defections such as the detection limit is high and that the detection time is long. In order to find a better way of detecting comparably small quantities of toxic ions, methods such as the biological signal-amplifiers, the microfluidic chips and the portable hardware are of great importance and practical significance. .

An interesting method to detect the concentration of ions using Escherichia coli is to select the corresponding ion-sensitive promoters binding with the reporter genes like the fluorescent protein genes. By constructing this kind of recombinant plasmids, the concentration signal can be transferred into a semi-quantitatively detectable signal like electric current and so on. However, the detection limit is extremely low that only high level accumulation of toxic ions in the environment can be detected. To solve this problem, we aimed to construct an amplifier to detect the concentration of the toxic ions including the ions semi-quantitativly with small volume.

--------* Abstract *--------

A sensitive detector for harmful ions in water based on a chip



Arsenic contamination in drinking water has long been a serious problem in many countries throughout the world, including China and the US. In this circumstance, XMU-China hopes to provide a sensitive and user-friendly device to detect arsenic in water and a microfluid chip is designed and produced to achieve our goal. The chip is an arsenic detector containing genetically modified E.coli that is able to express green fluorescent protein or lacZ in response to a certain range of arsenic concentration of arsenic. By calibrating the fluorescence intensity or current strength caused by luciferase or lacZ respectively, a whole range of arsenic levels in water can be detected.

We also plan to use this chip model to detect other harmful ions such as iron and mercury. To simplify the process, we will adopt a certain universal approach by constructing a common intermediate which can eliminate the differences among detection of different harmful ions. And T7 induced expression system is used to realize the effect of amplifying the signal in response to these ions. What’s more, we try to explore potential application of iLOV, a kind of small FMN-based fluorescent protein, to detect and recycle these harmful ions because of its inherent, binding properties towards them with high affinity.