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利用智能手机相机对 PCR 芯片进行荧光检测的定量分析。

Quantitative Analysis of Fluorescence Detection Using a Smartphone Camera for a PCR Chip.

机构信息

School of Software, Hallym University, Chuncheon-si 24252, Korea.

Bio-IT Research Center, Hallym University, Chuncheon-si 24252, Korea.

出版信息

Sensors (Basel). 2021 Jun 6;21(11):3917. doi: 10.3390/s21113917.

DOI:10.3390/s21113917
PMID:34204136
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8201293/
Abstract

Most existing commercial real-time polymerase chain reaction (RT-PCR) instruments are bulky because they contain expensive fluorescent detection sensors or complex optical structures. In this paper, we propose an RT-PCR system using a camera module for smartphones that is an ultra small, high-performance and low-cost sensor for fluorescence detection. The proposed system provides stable DNA amplification. A quantitative analysis of fluorescence intensity changes shows the camera's performance compared with that of commercial instruments. Changes in the performance between the experiments and the sets were also observed based on the threshold cycle values in a commercial RT-PCR system. The overall difference in the measured threshold cycles between the commercial system and the proposed camera was only 0.76 cycles, verifying the performance of the proposed system. The set calibration even reduced the difference to 0.41 cycles, which was less than the experimental variation in the commercial system, and there was no difference in performance.

摘要

大多数现有的商业实时聚合酶链反应(RT-PCR)仪器都很庞大,因为它们包含昂贵的荧光检测传感器或复杂的光学结构。在本文中,我们提出了一种使用智能手机摄像头模块的 RT-PCR 系统,该系统是一种超小、高性能和低成本的荧光检测传感器。所提出的系统提供了稳定的 DNA 扩增。荧光强度变化的定量分析显示了相机的性能与商业仪器的性能相比。还根据商业 RT-PCR 系统中的阈值循环值观察了实验和设置之间的性能变化。商业系统和建议的相机之间测量的阈值循环的整体差异仅为 0.76 个循环,验证了所提出系统的性能。甚至设置校准将差异减小到 0.41 个循环,这小于商业系统中的实验变化,并且性能没有差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d790/8201293/52f271ca108d/sensors-21-03917-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d790/8201293/cadab40e7683/sensors-21-03917-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d790/8201293/446bf50f01c6/sensors-21-03917-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d790/8201293/5ce9aeb958fa/sensors-21-03917-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d790/8201293/c2691b9db0e8/sensors-21-03917-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d790/8201293/c17ddf7704ff/sensors-21-03917-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d790/8201293/52f271ca108d/sensors-21-03917-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d790/8201293/cadab40e7683/sensors-21-03917-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d790/8201293/446bf50f01c6/sensors-21-03917-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d790/8201293/5ce9aeb958fa/sensors-21-03917-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d790/8201293/c2691b9db0e8/sensors-21-03917-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d790/8201293/c17ddf7704ff/sensors-21-03917-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d790/8201293/52f271ca108d/sensors-21-03917-g008.jpg

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