| Title: | Multiarray Biosensor for Diagnosing Lung Cancer Based on Gap Plasmonic Color Films |
| Author(s): | Nguyen TM; Chung JH; Bak GH; Kim YH; Kim M; Kim YJ; Kwon RJ; Choi EJ; Kim KH; Kim YS; Oh JW; |
| Address: | "Bio-IT Fusion Technology Research Institute, Pusan National University, Busan 46241, Republic of Korea. Department of Internal Medicine, College of Medicine, Pusan National University, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea. Department of Nano Fusion Technology, Pusan National University, Busan 46241, Republic of Korea. Department of Physics, Chungnam National University, Daejeon 34134, Republic of Korea. Family Medicine Clinic and Research Institute of Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Beomeo-ri, Mulgeum-eup, Yangsan, Gyeongsangnam-do 50612, Republic of Korea. Korea Nanobiotechnology Center, Pusan National University, Busan 46241, Republic of Korea. School of Materials Science and Engineering, Pusan National University, Busan 46241, Republic of Korea. Global Frontier Research and Development Center for Hybrid Interface Materials, Pusan National University, Busan 46241, Republic of Korea. Research Institute of Convergence Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea. Department of Nanoenergy Engineering and Research Center for Energy Convergence Technology, Pusan National University, Busan 46241, Republic of Korea" |
| DOI: | 10.1021/acssensors.2c02001 |
| ISSN/ISBN: | 2379-3694 (Electronic) 2379-3694 (Linking) |
| Abstract: | "Adaptable and sensitive materials are essential for the development of advanced sensor systems such as bio and chemical sensors. Biomaterials can be used to develop multifunctional biosensor applications using genetic engineering. In particular, a plasmonic sensor system using a coupled film nanostructure with tunable gap sizes is a potential candidate in optical sensors because of its simple fabrication, stability, extensive tuning range, and sensitivity to small changes. Although this system has shown a good ability to eliminate humidity as an interferant, its performance in real-world environments is limited by low selectivity. To overcome these issues, we demonstrated the rapid response of gap plasmonic color sensors by utilizing metal nanostructures combined with genetically engineered M13 bacteriophages to detect volatile organic compounds (VOCs) and diagnose lung cancer from breath samples. The M13 bacteriophage was chosen as a recognition element because the structural protein capsid can readily be modified to target the desired analyte. Consequently, the VOCs from various functional groups were distinguished by using a multiarray biosensor based on a gap plasmonic color film observed by hierarchical cluster analysis. Furthermore, the lung cancer breath samples collected from 70 healthy participants and 50 lung cancer patients were successfully classified with a high rate of over 89% through supporting machine learning analysis" |
| Keywords: | Humans *Biosensing Techniques *Nanostructures/chemistry *Lung Neoplasms/diagnosis *Volatile Organic Compounds/analysis Bacteriophage M13 M13 bacteriophage breath analysis gap plasmonic resonance lung cancer diagnosis volatile organic compounds (VOCs); |
| Notes: | "MedlineNguyen, Thanh Mien Chung, Jae Heun Bak, Gyeong-Ha Kim, You Hwan Kim, Minjun Kim, Ye-Ji Kwon, Ryuk Jun Choi, Eun-Jung Kim, Kwang Ho Kim, Yun Seong Oh, Jin-Woo eng Research Support, Non-U.S. Gov't 2022/12/31 ACS Sens. 2023 Jan 27; 8(1):167-175. doi: 10.1021/acssensors.2c02001. Epub 2022 Dec 30" |
