Screening of adulteration in packaging biocomposites by infrared spectroscopy and chemometrics

详细信息    查看全文

• 作者：Nafiseh Moazzen ; Mohammadreza Khanmohammadi…
• 关键词：Adulteration ; FTIR spectroscopy ; Polymer ; Biocomposite ; Chemometrics
• 刊名：Journal of the Iranian Chemical Society
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：14
• 期：3
• 页码：671-680
• 全文大小：
• 刊物主题：Analytical Chemistry; Inorganic Chemistry; Physical Chemistry; Biochemistry, general; Organic Chemistry;
• 出版者：Springer Berlin Heidelberg
• ISSN：1735-2428
• 卷排序：14

文摘

Fourier transform infrared spectroscopy coupled with chemometrics was employed to detect packaging polylactic acid-based biocomposite samples adulterated with polypropylene (PP) 30–45% and linear low-density polyethylene 2–10%. Principal component analysis, soft independent modeling of class analogy (SIMCA) and partial least square discriminate analysis (PLS-DA) chemometric techniques were utilized to classify samples in different classes. Totally, 362 samples were modeled in three different classes (two adulterated and one non-adulterated). The obtained results revealed that PLS-DA is the most suitable chemometric approach for prediction of probable adulteration in biocomposite samples with reliable specificity and selectivity. It could provide 99% correct class prediction rate between non-adulterated biocomposite samples and adulterated ones, while SIMCA methods provided 73.33% prediction accuracy in classification.