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Real-time DNA Amplification and Detection System Based on a CMOS Image Sensor

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Abstract

In the present study, we developed a polypropylene well-integrated complementary metal oxide semiconductor (CMOS) platform to perform the loop mediated isothermal amplification (LAMP) technique for real-time DNA amplification and detection simultaneously. An amplification-coupled detection system directly measures the photon number changes based on the generation of magnesium pyrophosphate and color changes. The photon number decreases during the amplification process. The CMOS image sensor observes the photons and converts into digital units with the aid of an analog-to-digital converter (ADC). In addition, UV-spectral studies, optical color intensity detection, pH analysis, and electrophoresis detection were carried out to prove the efficiency of the CMOS sensor based the LAMP system. Moreover, Clostridium perfringens was utilized as proof-of-concept detection for the new system. We anticipate that this CMOS image sensor-based LAMP method will enable the creation of cost-effective, label-free, optical, real-time and portable molecular diagnostic devices.

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Acknowledgements

This research was supported by the R&D Program for Society of the National Research Foundation (NRF) funded by the Ministry of Science, ICT & Future Planning, Republic of Korea (2013M3C8A3078806 and 2015M3A9E2031372).

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Authors and Affiliations

  1. Department of Bionanotechnology, Gachon University, San 65, Bokjeong-Dong, Sujeong-Gu, Seongnam-Si, Gyeonggi-Do, 461-701, Korea

    Tiantian Wang, Jasmine Pramila Devadhasan & Sanghyo Kim

  2. Optolane Inc., 633 Sampyeong-Dong, Bundang-Gu, Seongnam-Si, Gyeonggi-Do, 463-400, Korea

    Do Young Lee

  3. Graduate Gachon Medical Research Institute, Gil Medical Center, Inchon, 405-760, Korea

    Sanghyo Kim

Authors
  1. Tiantian Wang
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  2. Jasmine Pramila Devadhasan
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  3. Do Young Lee
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  4. Sanghyo Kim
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Correspondence to Sanghyo Kim.

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Wang, T., Devadhasan, J.P., Lee, D.Y. et al. Real-time DNA Amplification and Detection System Based on a CMOS Image Sensor. ANAL. SCI. 32, 653–658 (2016). https://doi.org/10.2116/analsci.32.653

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  • DOI: https://doi.org/10.2116/analsci.32.653

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