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Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/578484
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dc.contributor.authorRaja Zubaidah Raja Sabaradin (UITM)
dc.contributor.authorNorashikin Saim (UITM)
dc.contributor.authorRozita Osman (UITM)
dc.contributor.authorHafizan Juahir (UNISZA)
dc.date.accessioned2023-11-06T03:02:30Z-
dc.date.available2023-11-06T03:02:30Z-
dc.date.issued2017-07
dc.identifier.issn0128-7680
dc.identifier.otherukmvital:115963
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/578484-
dc.descriptionPyrolysis-gas chromatography-mass spectrometry (Py-GC-MS) has been recognised as an effective technique to analyse car paint. This study was conducted to assess the combination of Py-GC-MS and chemometric techniques to classify car paint primer, the inner layer of car paint system. Fifty car paint primer samples from various manufacturers were analysed using Py-GC-MS, and data set of identified pyrolysis products was subjected to principal component analysis (PCA) and discriminant analysis (DA). The PCA rendered 16 principal components with 86.33% of the total variance. The DA was useful to classify the car paint primer samples according to their types (1k and 2k primer) with 100% correct classification in the test set for all three modes (standard, stepwise forward and stepwise backward). Three compounds, indolizine, 1,3-benzenedicarbonitrile and p-terphenyl, were the most significant compounds in discriminating the car paint primer samples.
dc.language.isoen
dc.publisherUniversiti Putra Malaysia Press
dc.relation.haspartPertanika Journals
dc.relation.urihttp://www.pertanika.upm.edu.my/regular_issues.php?jtype=2&journal=JST-25-S-7
dc.rightsUKM
dc.subjectCar paint primer
dc.subjectChemometric analysis
dc.subjectPy-GC-MS
dc.titleClassification of car paint primers using pyrolysis-gas chromatography-mass spectrometry (PY-GC-MS) and chemometric techniques
dc.typeJournal Article
dc.format.volume25
dc.format.pages53-66
dc.format.issueSpecial Issue
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