Development of a portable oil type classifier using laser-induced fluorescence spectrometer coupled with chemometrics SCIE SCOPUS

DC Field Value Language
dc.contributor.author Loh, Andrew -
dc.contributor.author Ha, Sung Yong -
dc.contributor.author Kim, Donghwi -
dc.contributor.author Lee, Joonseok -
dc.contributor.author Baek, Kyonghoon -
dc.contributor.author Yim, Un Hyuk -
dc.date.accessioned 2021-05-20T07:06:26Z -
dc.date.available 2021-05-20T07:06:26Z -
dc.date.created 2021-04-12 -
dc.date.issued 2021-08-15 -
dc.identifier.issn 0304-3894 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/41314 -
dc.description.abstract Due to the recurrent small spills, oil pollution along coastal regions is still a major environmental issue. Standardized oil fingerprinting techniques are useful for oil spill identifications, but time- and resource-consuming. There have been ongoing needs for simple yet rapid approach for field screening of oil spill. Laser induced fluorescence (LIF) technology can be incorporated into a spectrometer, and with the integration of chemometrics can be consolidated as a potentially useful portable oil type classification device. Using a LIF spectrometer, 775 oil spectra were calibrated into supervised classification models and validated with 162 oil spectra. Reliability of the device to accurately remove background emission from fluorescence spectra was verified. Prediction performance and model robustness were further validated by comparison between commonly used classification models such as partial least square discriminant analysis (PLS-DA) and support vector machine-discriminant analysis (SVM-DA). Robustness in both models were comparable with PLS-DA having a lower number of misclassification (PLS-DA: 5.50%, SVM-DA: 13.8%) while SVM-DA having a lower number of unassigned samples (PLS-DA: 10.9%; SVM-DA: 16 1.39%). This study explicitly demonstrated the development of a new convenient and handy device which can be used as part of the screening process for oil spill fingerprinting. -
dc.description.uri 1 -
dc.language English -
dc.publisher ELSEVIER -
dc.subject SUPPORT VECTOR MACHINES -
dc.subject HEBEI-SPIRIT -
dc.subject REGRESSION -
dc.subject COMPONENT -
dc.subject PLS -
dc.title Development of a portable oil type classifier using laser-induced fluorescence spectrometer coupled with chemometrics -
dc.type Article -
dc.citation.title JOURNAL OF HAZARDOUS MATERIALS -
dc.citation.volume 416 -
dc.contributor.alternativeName Andrew -
dc.contributor.alternativeName 하성용 -
dc.contributor.alternativeName 김동휘 -
dc.contributor.alternativeName 임운혁 -
dc.contributor.alternativeName Andrew -
dc.identifier.bibliographicCitation JOURNAL OF HAZARDOUS MATERIALS, v.416 -
dc.identifier.doi 10.1016/j.jhazmat.2021.125723 -
dc.identifier.scopusid 2-s2.0-85103557515 -
dc.identifier.wosid 000664800000010 -
dc.type.docType Article -
dc.description.journalClass 1 -
dc.description.isOpenAccess N -
dc.subject.keywordPlus SUPPORT VECTOR MACHINES -
dc.subject.keywordPlus HEBEI-SPIRIT -
dc.subject.keywordPlus REGRESSION -
dc.subject.keywordPlus COMPONENT -
dc.subject.keywordPlus PLS -
dc.subject.keywordAuthor Laser induced fluorescence -
dc.subject.keywordAuthor Chemometrics -
dc.subject.keywordAuthor Oil type classifier -
dc.subject.keywordAuthor Oil spill -
dc.relation.journalWebOfScienceCategory Engineering, Environmental -
dc.relation.journalWebOfScienceCategory Environmental Sciences -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Engineering -
dc.relation.journalResearchArea Environmental Sciences & Ecology -
Appears in Collections:
South Sea Research Institute > Risk Assessment Research Center > 1. Journal Articles
Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse