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Seo G, Lee G, Kim W, An I, Choi M, Jang S, Park YJ, Lee JO, Cho D, Park EC. Ultrasensitive biosensing platform for Mycobacterium tuberculosis detection based on functionalized graphene devices. Front Bioeng Biotechnol 2023; 11:1313494. [PMID: 38179133 PMCID: PMC10765604 DOI: 10.3389/fbioe.2023.1313494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 12/05/2023] [Indexed: 01/06/2024] Open
Abstract
Tuberculosis (TB) has high morbidity as a chronic infectious disease transmitted mainly through the respiratory tract. However, the conventional diagnosis methods for TB are time-consuming and require specialists, making the diagnosis of TB with point-of-care (POC) detection difficult. Here, we developed a graphene-based field-effect transistor (GFET) biosensor for detecting the MPT64 protein of Mycobacterium tuberculosis with high sensitivity as a POC detection platform for TB. For effective conjugation of antibodies, the graphene channels of the GFET were functionalized by immobilizing 1,5-diaminonaphthalene (1,5-DAN) and glutaraldehyde linker molecules onto the graphene surface. The successful immobilization of linker molecules with spatial uniformity on the graphene surface and subsequent antibody conjugation were confirmed by Raman spectroscopy and X-ray photoelectron spectroscopy. The GFET functionalized with MPT64 antibodies showed MPT64 detection with a detection limit of 1 fg/mL in real-time, indicating that the GFET biosensor is highly sensitive. Compared to rapid detection tests (RDT) and enzyme-linked immunosorbent assays, the GFET biosensor platform developed in this study showed much higher sensitivity but much smaller dynamic range. Due to its high sensitivity, the GFET biosensor platform can bridge the gap between time-consuming molecular diagnostics and low-sensitivity RDT, potentially aiding in early detection or management of relapses in infectious diseases.
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Affiliation(s)
- Giwan Seo
- Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, Republic of Korea
- Critical Diseases Diagnostics Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Geonhee Lee
- Advanced Materials Division, Korea Research Institute of Chemical Technology, Daejeon, Republic of Korea
| | - Wooyoung Kim
- Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, Republic of Korea
- Critical Diseases Diagnostics Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Inyoung An
- Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, Republic of Korea
- Critical Diseases Diagnostics Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Myungwoo Choi
- Department of Materials Science and Engineering, Korea University, Seoul, Republic of Korea
| | - Sojeong Jang
- Advanced Materials Division, Korea Research Institute of Chemical Technology, Daejeon, Republic of Korea
| | - Yeon-Joon Park
- Department of Laboratory Medicine, Seoul St. Mary’s Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jeong-O. Lee
- Advanced Materials Division, Korea Research Institute of Chemical Technology, Daejeon, Republic of Korea
| | - Donghwi Cho
- Advanced Materials Division, Korea Research Institute of Chemical Technology, Daejeon, Republic of Korea
| | - Edmond Changkyun Park
- Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, Republic of Korea
- Critical Diseases Diagnostics Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
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