A novel CMOS image sensor system for quantitative loop-mediated isothermal amplification assays to detect food-borne pathogens
- Authors
- Wang, Tiantian; Kim, Sanghyo; An, Jeong Ho
- Issue Date
- Feb-2017
- Publisher
- ELSEVIER SCIENCE BV
- Keywords
- CMOS-based LAMP system; Molecular diagnosis; Photon count variation; Quantitative analysis
- Citation
- JOURNAL OF MICROBIOLOGICAL METHODS, v.133, pp.1 - 7
- Journal Title
- JOURNAL OF MICROBIOLOGICAL METHODS
- Volume
- 133
- Start Page
- 1
- End Page
- 7
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/6464
- DOI
- 10.1016/j.mimet.2016.12.002
- ISSN
- 0167-7012
- Abstract
- Loop-mediated isothermal amplification (LAMP) is considered as one of the alternatives to the conventional PCR and it is an inexpensive portable diagnostic system with minimal power consumption. The present work describes the application of LAMP in real-time photon detection and quantitative analysis of nucleic acids integrated with a disposable complementary-metal-oxide semiconductor (CMOS) image sensor. This novel system works as an amplification-coupled detection platform, relying on a CMOS image sensor, with the aid of a computerized circuitry controller for the temperature and light sources. The CMOS image sensor captures the light which is passing through the sensor surface and converts into digital units using an analog-to-digital converter (ADC). This new system monitors the real-time photon variation, caused by the color changes during amplification. Escherichia coli 0157 was used as a proof-of-concept target for quantitative analysis, and compared with the results for Staphylococcus aureus and Salmonella enterica to confirm the efficiency of the system. The system detected various DNA concentrations of E. coli 0157 in a short time (45 min), with a detection limit of 10 fg/mu L. The low-cost, simple, and compact design, with low power consumption, represents a significant advance in the development of a portable, sensitive, user-friendly, real-time, and quantitative analytic tools for point-of-care diagnosis. (C) 2016 Elsevier B.V. All rights reserved.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - 바이오나노대학 > 바이오나노학과 > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/6464)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.