Real-Time Monitoring of a Botulinum Neurotoxin Using All-Carbon Nanotube-Based Field-Effect Transistor Devices

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dc.contributor.authorLee, Nam Heeko
dc.contributor.authorNahm, Seung-Hoonko
dc.contributor.authorChoi, Insung S.ko
dc.date.accessioned2019-02-20T04:52:17Z-
dc.date.available2019-02-20T04:52:17Z-
dc.date.created2019-01-28-
dc.date.issued2018-12-
dc.identifier.citationSENSORS, v.18, no.12-
dc.identifier.issn1424-8220-
dc.identifier.urihttp://hdl.handle.net/10203/250222-
dc.description.abstractThe possibility of exposure to botulinum neurotoxin (BoNT), a powerful and potential bioterrorism agent, is considered to be ever increasing. The current gold-standard assay, live-mouse lethality, exhibits high sensitivity but has limitations including long assay times, whereas other assays evince rapidity but lack factors such as real-time monitoring or portability. In this study, we aimed to devise a novel detection system that could detect BoNT at below-nanomolar concentrations in the form of a stretchable biosensor. We used a field-effect transistor with a p-type channel and electrodes, along with a channel comprising aligned carbon nanotube layers to detect the type E light chain of BoNT (BoNT/E-Lc). The detection of BoNT/E-Lc entailed observing the cleavage of a unique peptide and the specific bonding between BoNT/E-Lc and antibody BoNT/E-Lc (Anti-BoNT/E-Lc). The unique peptide was cleaved by 60 pM BoNT/E-Lc; notably, 52 fM BoNT/E-Lc was detected within 1 min in the device with the antibody in the bent state. These results demonstrated that an all-carbon nanotube-based device (all-CNT-based device) could be produced without a complicated fabrication process and could be used as a biosensor with high sensitivity, suggesting its potential development as a wearable BoNT biosensor.-
dc.languageEnglish-
dc.publisherMDPI-
dc.titleReal-Time Monitoring of a Botulinum Neurotoxin Using All-Carbon Nanotube-Based Field-Effect Transistor Devices-
dc.typeArticle-
dc.identifier.wosid000454817100154-
dc.identifier.scopusid2-s2.0-85058081215-
dc.type.rimsART-
dc.citation.volume18-
dc.citation.issue12-
dc.citation.publicationnameSENSORS-
dc.identifier.doi10.3390/s18124235-
dc.contributor.localauthorChoi, Insung S.-
dc.contributor.nonIdAuthorNahm, Seung-Hoon-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
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