Incorporation of two-dimensional correlation analysis into discriminant analysis as a potential tool for improving discrimination accuracy: Near-infrared spectroscopic discrimination of adulterated olive oils
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sohng, Woosuk | - |
dc.contributor.author | Park, Yeonju | - |
dc.contributor.author | Jang, Daeil | - |
dc.contributor.author | Cha, Kyungjoon | - |
dc.contributor.author | Jung, Young Mee | - |
dc.contributor.author | Chung, Hoeil | - |
dc.date.accessioned | 2022-07-08T04:36:03Z | - |
dc.date.available | 2022-07-08T04:36:03Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2020-05 | - |
dc.identifier.issn | 0039-9140 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/145776 | - |
dc.description.abstract | A strategy of combining temperature-induced spectral variation and two-dimensional correlation (2D-COS) analysis as a potential tool to improve accuracy of sample discrimination is suggested. The potential application of this method was evaluated using near-infrared (NIR) spectroscopic discrimination of adulterated olive oils. Rather than utilizing static spectral information at a certain temperature, dynamic spectral features induced by an external perturbation such as temperature change would be more informative for sample discrimination, and 2D-COS analysis was a reliable choice to characterize temperature-induced spectral variation. For evaluation, NIR spectra of 9 pure olive oils and 90 olive oils adulterated with canola, soybean, and corn oils (adulteration rate: 5%) were collected at four different temperatures (20, 27, 34, 41 degrees C). In constant-temperature measurements, the scores of pure and adulterated samples obtained by principal component analysis (PCA) were considerably overlapped. When 2D-COS analysis was performed using temperature-varied (20-41 degrees C) spectra and the resulting power spectra from 2D synchronous correlation spectra were used for PCA, identification of the two groups was noticeably enhanced and subsequent k-nearest neighbor (k-NN)-based discrimination accuracy substantially improved to 86.4%. While, the accuracies resulted in the constant-temperature measurements ranged only from 50.9 to 55.8%. The dynamic temperature-induced spectral variation of the samples effectively featured by 2D-COS analysis was ultimately more informative and allowed improvement in accuracy. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER | - |
dc.title | Incorporation of two-dimensional correlation analysis into discriminant analysis as a potential tool for improving discrimination accuracy: Near-infrared spectroscopic discrimination of adulterated olive oils | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Cha, Kyungjoon | - |
dc.contributor.affiliatedAuthor | Chung, Hoeil | - |
dc.identifier.doi | 10.1016/j.talanta.2020.120748 | - |
dc.identifier.scopusid | 2-s2.0-85078181498 | - |
dc.identifier.wosid | 000518866700005 | - |
dc.identifier.bibliographicCitation | TALANTA, v.212, pp.1 - 9 | - |
dc.relation.isPartOf | TALANTA | - |
dc.citation.title | TALANTA | - |
dc.citation.volume | 212 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 9 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
dc.subject.keywordPlus | LUBE BASE OILS | - |
dc.subject.keywordPlus | SPECTRAL SELECTIVITY | - |
dc.subject.keywordPlus | LOW-TEMPERATURES | - |
dc.subject.keywordPlus | COMPLEX SAMPLES | - |
dc.subject.keywordPlus | FROZEN STATE | - |
dc.subject.keywordPlus | RAMAN | - |
dc.subject.keywordPlus | AUTHENTICATION | - |
dc.subject.keywordPlus | ENHANCEMENT | - |
dc.subject.keywordPlus | ORDER | - |
dc.subject.keywordAuthor | Temperature-induced spectral variation | - |
dc.subject.keywordAuthor | Two-dimensional correlation analysis | - |
dc.subject.keywordAuthor | Near-infrared spectroscopy | - |
dc.subject.keywordAuthor | Olive oil authentication | - |
dc.subject.keywordAuthor | Power spectrum | - |
dc.subject.keywordAuthor | Discriminant analysis | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0039914020300394?via%3Dihub | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.