Label-free SERS detection of proteins based on machine learning classification of chemo-structural determinants
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Barucci, Andrea | - |
dc.contributor.author | D'Andrea, Cristiano | - |
dc.contributor.author | Farnesi, Edoardo | - |
dc.contributor.author | Banchelli, Martina | - |
dc.contributor.author | Amicucci, Chiara | - |
dc.contributor.author | de Angelis, Marella | - |
dc.contributor.author | Hwang, Byungil | - |
dc.contributor.author | Matteini, Paolo | - |
dc.date.accessioned | 2021-07-20T01:41:39Z | - |
dc.date.available | 2021-07-20T01:41:39Z | - |
dc.date.issued | 2021-01 | - |
dc.identifier.issn | 0003-2654 | - |
dc.identifier.issn | 1364-5528 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/47636 | - |
dc.description.abstract | Establishing standardized methods for a consistent analysis of spectral data remains a largely underexplored aspect in surface-enhanced Raman spectroscopy (SERS), particularly applied to biological and biomedical research. Here we propose an effective machine learning classification of protein species with closely resembled spectral profiles by a mixed data processing based on principal component analysis (PCA) applied to multipeak fitting on SERS spectra. This strategy simultaneously assures a successful discrimination of proteins and a thorough characterization of the chemostructural differences among them, ultimately opening up new routes for SERS evolution toward sensing applications and diagnostics of interest in life sciences. | - |
dc.format.extent | 9 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | ROYAL SOC CHEMISTRY | - |
dc.title | Label-free SERS detection of proteins based on machine learning classification of chemo-structural determinants | - |
dc.type | Article | - |
dc.identifier.doi | 10.1039/d0an02137g | - |
dc.identifier.bibliographicCitation | ANALYST, v.146, no.2, pp 674 - 682 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000611287000034 | - |
dc.identifier.scopusid | 2-s2.0-85099994045 | - |
dc.citation.endPage | 682 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 674 | - |
dc.citation.title | ANALYST | - |
dc.citation.volume | 146 | - |
dc.type.docType | Article | - |
dc.publisher.location | 영국 | - |
dc.subject.keywordPlus | ENHANCED RAMAN-SPECTROSCOPY | - |
dc.subject.keywordPlus | SCATTERING | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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