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Quantitative Analysis of Fluorescence Detection Using a Smartphone Camera for a PCR Chip.
Kim, Jong-Dae; Park, Chan-Young; Kim, Yu-Seop; Hwang, Ji-Soo.
Afiliación
  • Kim JD; School of Software, Hallym University, Chuncheon-si 24252, Korea.
  • Park CY; Bio-IT Research Center, Hallym University, Chuncheon-si 24252, Korea.
  • Kim YS; School of Software, Hallym University, Chuncheon-si 24252, Korea.
  • Hwang JS; Bio-IT Research Center, Hallym University, Chuncheon-si 24252, Korea.
Sensors (Basel) ; 21(11)2021 Jun 06.
Article en En | MEDLINE | ID: mdl-34204136
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Técnicas de Amplificación de Ácido Nucleico / Teléfono Inteligente Tipo de estudio: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Técnicas de Amplificación de Ácido Nucleico / Teléfono Inteligente Tipo de estudio: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article
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