한빛사논문
- 조회248
Sung‑Jo Kim1†, Yujin Lee2†, Eun Jung Choi1,3, Jong‑Min Lee4,5, Kwang Ho Kim6,7* and Jin‑Woo Oh1,2,3,8*
1Bio‑IT Fusion Technology Research Institute, Pusan National University, Busan, Republic of Korea.
2Department of Nano Fusion Technology, Pusan National University, Busan, Republic of Korea.
3Korea Nanobiotechnology Center, Pusan National University, Busan, Republic of Korea.
4School of Nano Convergence Technology, Hallym University, Chuncheon, Republic of Korea.
5Korea and Nano Convergence Technology Center, Hallym University, Chuncheon, Republic of Korea.
6School of Materials Science and Engineering, Pusan National University, Busan, Republic of Korea.
7Global Frontier Research and Development Center for Hybrid Interface Materials, Pusan National University, Busan, Republic of Korea.
8Department of Nanoenergy Engineering and Research Center for Energy Convergence Technology, Pusan National University, Busan, Republic of Korea.
†Sung-Jo Kim and Yujin Lee contributed equally to this work.
*Corresponding authors : Correspondence to Kwang Ho Kim or Jin-Woo Oh.
Abstract
Techniques for detecting chemicals dispersed at low concentrations in air continue to evolve. These techniques can be applied not only to manage the quality of agricultural products using a post-ripening process but also to establish a safety prevention system by detecting harmful gases and diagnosing diseases. Recently, techniques for rapid response to various chemicals and detection in complex and noisy environments have been developed using M13 bacteriophage-based sensors. In this review, M13 bacteriophage-based multi-array colourimetric sensors for the development of an electronic nose is discussed. The self-templating process was adapted to fabricate a colour band structure consisting of an M13 bacteriophage. To detect diverse target chemicals, the colour band was utilised with wild and genetically engineered M13 bacteriophages to enhance their sensing abilities. Multi-array colourimetric sensors were optimised for application in complex and noisy environments based on simulation and deep learning analysis. The development of a multi-array colourimetric sensor platform based on the M13 bacteriophage is likely to result in significant advances in the detection of various harmful gases and the diagnosis of various diseases based on exhaled gas in the future.
논문정보
- Review Paper
- 2023년 01월 (BRIC 등록일 2023-03-27)
- 국내 연구진
- 바이오·의료융합 > 바이오센싱 및 나노바이오물질
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