Cited 16 time in
Use of temperature dependent Raman spectra to improve accuracy for analysis of complex oil-based samples: Lube base oils and adulterated olive oils
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, Mooeung | - |
| dc.contributor.author | Lee, Sanguk | - |
| dc.contributor.author | Chang, Kyeol | - |
| dc.contributor.author | Chung, Hoeil | - |
| dc.contributor.author | Jung, Young Mee | - |
| dc.date.accessioned | 2022-07-07T13:43:47Z | - |
| dc.date.available | 2022-07-07T13:43:47Z | - |
| dc.date.issued | 2012-10 | - |
| dc.identifier.issn | 0003-2670 | - |
| dc.identifier.issn | 1873-4324 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/144710 | - |
| dc.description.abstract | A simple and effective strategy to improve accuracy for Raman spectroscopic analysis of complex mixture samples by probing a measurement temperature yielding enhanced spectral selectivity has been demonstrated. For the evaluation, the determination of Kinematic Viscosity at 40 degrees C (KV@40) of lube base oil (LBO) samples was initially attempted. Partial least squares (PLS) was used to determine the KV@40 using Raman spectra of the samples collected at 8 different temperatures from 20 to 90 degrees C with 10 degrees C increments. Interestingly, the distinct temperature-induced spectral variation among the samples occurred at 50 degrees C, thereby resulting in the improved accuracy for determination of KV@40. Two-dimensional (2D) correlation analysis was also performed to find an additional supportive rationale for the improved accuracy. The strategy was further evaluated for the identification of soybean oil-adulterated olive oils using linear discriminant analysis (LDA). Similarly, the discrimination accuracy was improved around 80-90 degrees C due to the enhanced spectral selectivity between olive and soybean oils. In overall, these two results successfully demonstrate analytical effectiveness of the strategy. | - |
| dc.format.extent | 9 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Elsevier BV | - |
| dc.title | Use of temperature dependent Raman spectra to improve accuracy for analysis of complex oil-based samples: Lube base oils and adulterated olive oils | - |
| dc.type | Article | - |
| dc.publisher.location | 네델란드 | - |
| dc.identifier.doi | 10.1016/j.aca.2012.08.028 | - |
| dc.identifier.scopusid | 2-s2.0-84866849269 | - |
| dc.identifier.wosid | 000309846300008 | - |
| dc.identifier.bibliographicCitation | Analytica Chimica Acta, v.748, pp 58 - 66 | - |
| dc.citation.title | Analytica Chimica Acta | - |
| dc.citation.volume | 748 | - |
| dc.citation.startPage | 58 | - |
| dc.citation.endPage | 66 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | sci | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Chemistry | - |
| dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
| dc.subject.keywordPlus | 2-DIMENSIONAL CORRELATION SPECTROSCOPY | - |
| dc.subject.keywordPlus | PHOTOACOUSTIC INFRARED-SPECTROSCOPY | - |
| dc.subject.keywordPlus | FT-RAMAN | - |
| dc.subject.keywordPlus | CLASSIFICATION | - |
| dc.subject.keywordPlus | CURVE | - |
| dc.subject.keywordAuthor | Raman spectral selectivity | - |
| dc.subject.keywordAuthor | Temperature-sensitive molecular vibration | - |
| dc.subject.keywordAuthor | Generalized two-dimensional correlation analysis | - |
| dc.subject.keywordAuthor | Lube base oil | - |
| dc.subject.keywordAuthor | Viscosity | - |
| dc.subject.keywordAuthor | Adulterated olive oil | - |
| dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0003267012011981?via%3Dihub | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1366
COPYRIGHT © 2024 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.
