DC Field | Value | Language |
---|---|---|
dc.contributor.author | Giwan Seo | - |
dc.contributor.author | G Lee | - |
dc.contributor.author | Wooyoung Kim | - |
dc.contributor.author | Inyoung An | - |
dc.contributor.author | M Choi | - |
dc.contributor.author | S Jang | - |
dc.contributor.author | Y J Park | - |
dc.contributor.author | J O Lee | - |
dc.contributor.author | D Cho | - |
dc.contributor.author | Changkyun Park | - |
dc.date.accessioned | 2024-01-08T16:32:38Z | - |
dc.date.available | 2024-01-08T16:32:38Z | - |
dc.date.issued | 2023 | - |
dc.identifier.issn | 2296-4185 | - |
dc.identifier.uri | https://oak.kribb.re.kr/handle/201005/33231 | - |
dc.description.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. | - |
dc.publisher | Frontiers Media Sa | - |
dc.title | Ultrasensitive biosensing platform for Mycobacterium tuberculosis detection based on functionalized graphene devices | - |
dc.title.alternative | Ultrasensitive biosensing platform for Mycobacterium tuberculosis detection based on functionalized graphene devices | - |
dc.type | Article | - |
dc.citation.title | Frontiers in Bioengineering and Biotechnology | - |
dc.citation.number | 0 | - |
dc.citation.endPage | 1313494 | - |
dc.citation.startPage | 1313494 | - |
dc.citation.volume | 11 | - |
dc.contributor.affiliatedAuthor | Giwan Seo | - |
dc.contributor.affiliatedAuthor | Wooyoung Kim | - |
dc.contributor.affiliatedAuthor | Inyoung An | - |
dc.contributor.affiliatedAuthor | Changkyun Park | - |
dc.contributor.alternativeName | 서기완 | - |
dc.contributor.alternativeName | 이건희 | - |
dc.contributor.alternativeName | 김우영 | - |
dc.contributor.alternativeName | 안인영 | - |
dc.contributor.alternativeName | 최명우 | - |
dc.contributor.alternativeName | 장소정 | - |
dc.contributor.alternativeName | 박연준 | - |
dc.contributor.alternativeName | 이정오 | - |
dc.contributor.alternativeName | 조동휘 | - |
dc.contributor.alternativeName | 박창균 | - |
dc.identifier.bibliographicCitation | Frontiers in Bioengineering and Biotechnology, vol. 11, pp. 1313494-1313494 | - |
dc.identifier.doi | 10.3389/fbioe.2023.1313494 | - |
dc.subject.keyword | Graphene | - |
dc.subject.keyword | Field-effect transistor (FET) | - |
dc.subject.keyword | Mycobacterium tuberculosis | - |
dc.subject.keyword | MPT64 | - |
dc.subject.keyword | Biosensor | - |
dc.subject.local | Graphene | - |
dc.subject.local | graphene | - |
dc.subject.local | Mycobacterium tuberculosis | - |
dc.subject.local | mycobacterium tuberculosis | - |
dc.subject.local | Biosensor | - |
dc.subject.local | Biosensors | - |
dc.subject.local | biosensor | - |
dc.subject.local | biosensors | - |
dc.subject.local | Bio-sensor | - |
dc.description.journalClass | Y | - |
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