"
Team:BIT/project hardware
From 2013.igem.org
(Difference between revisions)
| Line 258: | Line 258: | ||
<tr> | <tr> | ||
<td width="608" class="t1">Hardware</td> | <td width="608" class="t1">Hardware</td> | ||
| + | </tr> | ||
| + | <tr> | ||
| + | <td class="t2"><strong>Introduction</strong></td> | ||
</tr> | </tr> | ||
<tr> | <tr> | ||
| Line 280: | Line 283: | ||
</td> | </td> | ||
</tr> | </tr> | ||
| + | <tr> | ||
| + | <td class="t2"><strong>Result</br></br> | ||
| + | A) Linear Regression</strong></td> | ||
| + | </tr> | ||
| + | <tr> | ||
| + | <td class="t2"> To indicate the reliability of our system, we conducted experiments with fluorescein sodium solutions of different concentration. The figure below shows the curve of our result, which fits perfectly with the linear curve with an R-squared of 0.9842. The result indicates that our detection system is reliable.</td> | ||
| + | </tr> | ||
| + | <tr> | ||
| + | <td class="t3"><img src="https://static.igem.org/mediawiki/2013/5/52/BIT_H_R1.png"> | ||
| + | </td> | ||
| + | </tr> | ||
| + | <tr> | ||
| + | <td class="t2"><strong>B) Blind Test</strong></td> | ||
| + | </tr> | ||
| + | |||
| + | <tr> | ||
| + | <td class="t2"> We conducted a “Blind test”, in which we detected the concentration of antibiotics in pure water. In the test, we had seven samples:</br> | ||
| + | 1) Five SAFE samples, with only pure water;</br> | ||
| + | 2) One HARMFUL sample, with a low concentration of antibiotics;</br> | ||
| + | 3) One TOXIC sample, with a high concentration of antibiotics.</br> | ||
| + | Before the test, we did not know which sample was safe and which sample was harmful. Both of the conventional method (VarioskaFlash) and our new method were adopted to detect the concentration of antibiotics in the sample and here is the result. As can be seen from the figure below, the data of our detector was consistent with that of VarioskaFlash, which means our system really worked well. | ||
| + | </td> | ||
| + | </tr> | ||
| + | <tr> | ||
| + | <td class="t3"><img src="https://static.igem.org/mediawiki/2013/3/30/BIT_H_R2.png"><br><br> | ||
| + | </td> | ||
| + | </tr> | ||
| + | |||
| + | |||
| + | |||
</table> | </table> | ||
Revision as of 09:26, 26 October 2013
| Hardware |
| Introduction |
|
|
| As the joint of biological and non-biological research, this device aims to detect the fluorescent intensity of GFP and calculate the concentration of the chemicals (Cr (VI), beta-lactam, and tetracycline, respectively) detected based on it. We can then assess the quality of the sample detected. |
|
| The mechanism of this device is simple (figure). The exciting light coming from blue LED through 490nm narrowband filter, which only allow 490nm light to pass through. The filtered light then penetrates our test chip. If GFP exists on our test chip, it would transform the frequency of the excitation light into about 520nm, which is the only frequency of light that can pass through the 517nm narrowband filter. Then our sensor will be able to detect the intensity of the light and calculate the content of GFP, indicating the composition of the tested sample with our mathematical model. The characteristic of our device is that it is really CHEAP. Although it costs less than 300RMB in total and can easily cooperate with our biological products. |
| Result A) Linear Regression |
| To indicate the reliability of our system, we conducted experiments with fluorescein sodium solutions of different concentration. The figure below shows the curve of our result, which fits perfectly with the linear curve with an R-squared of 0.9842. The result indicates that our detection system is reliable. |
|
| B) Blind Test |
| We conducted a “Blind test”, in which we detected the concentration of antibiotics in pure water. In the test, we had seven samples: 1) Five SAFE samples, with only pure water; 2) One HARMFUL sample, with a low concentration of antibiotics; 3) One TOXIC sample, with a high concentration of antibiotics. Before the test, we did not know which sample was safe and which sample was harmful. Both of the conventional method (VarioskaFlash) and our new method were adopted to detect the concentration of antibiotics in the sample and here is the result. As can be seen from the figure below, the data of our detector was consistent with that of VarioskaFlash, which means our system really worked well. |
 |
