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DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 193 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 188 | - |
dc.citation.title | SENSORS & DIAGNOSTICS | - |
dc.citation.volume | 2 | - |
dc.contributor.author | Liu, Xiaowei | - |
dc.contributor.author | Zhang, Zhiwei | - |
dc.contributor.author | Yan, Xuetao | - |
dc.contributor.author | Zhang, Xinying | - |
dc.contributor.author | Amblard, Francois | - |
dc.contributor.author | Chen, Yingying | - |
dc.contributor.author | Feng, Lingyan | - |
dc.date.accessioned | 2024-01-22T17:35:09Z | - |
dc.date.available | 2024-01-22T17:35:09Z | - |
dc.date.created | 2024-01-05 | - |
dc.date.issued | 2023-01 | - |
dc.description.abstract | An artificial tongue for the discrimination of different metal ions based on fluorescent carbon dots (C-dots) and meso-tetrakis(4-(N-methylpyridiumyl))porphyrin (TMPyP) was developed in this manuscript. Fluorescence resonance energy transfer (FRET) between C-dots and TMPyP was applied for the sensor array consisting of C-dots, TMPyP and a C-dot-TMPyP complex. Fifteen metal ions have been effectively identified by the sensor array with different fingerprint-like patterns which were analyzed from the distinct fluorescence responses through principal component analysis (PCA) and hierarchical cluster analysis (HCA), providing a fast and efficient method for the detection of metal ions. © 2023 The Author(s). Published by the Royal Society of Chemistry. | - |
dc.identifier.bibliographicCitation | SENSORS & DIAGNOSTICS, v.2, no.1, pp.188 - 193 | - |
dc.identifier.doi | 10.1039/d2sd00155a | - |
dc.identifier.issn | 2635-0998 | - |
dc.identifier.scopusid | 2-s2.0-85147908334 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/68207 | - |
dc.language | 영어 | - |
dc.publisher | The Royal Society of Chemistry | - |
dc.title | Artificial tongue based on carbon dots and a porphyrin derivative for pattern recognition of metal ions† | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scopus | - |
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