Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/578484
Title: Classification of car paint primers using pyrolysis-gas chromatography-mass spectrometry (PY-GC-MS) and chemometric techniques
Authors: Raja Zubaidah Raja Sabaradin (UITM)
Norashikin Saim (UITM)
Rozita Osman (UITM)
Hafizan Juahir (UNISZA)
Keywords: Car paint primer
Chemometric analysis
Py-GC-MS
Issue Date: Jul-2017
Description: Pyrolysis-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.
News Source: Pertanika Journals
ISSN: 0128-7680
Volume: 25
Pages: 53-66
Publisher: Universiti Putra Malaysia Press
Appears in Collections:Journal Content Pages/ Kandungan Halaman Jurnal

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