Short near infrared spectroscopy coupled with partial least square for the detection of adulteration in soybean oil

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Short near infrared spectroscopy coupled with partial least square for the detection of adulteration in soybean oil

This paper demonstrates the application of short near infrared spectroscopy to measure the presence of lard adulteration in soybean oil. Partial least square (PLS) regression was used as supervised learning algorithm to quantify the percentage of adulteration in soybean oil. Spectral data obtained w...

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Bibliographic Details
Published in:	AIP Conference Proceedings
Main Author:	Basri K.N.; Khir M.F.A.; Rani R.A.; Sharif Z.; Rusop M.; Zoolfakar A.S.
Format:	Conference paper
Language:	English
Published:	American Institute of Physics Inc. 2018
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047361166&doi=10.1063%2f1.5036854&partnerID=40&md5=1ec52a1cce173104352a5638c031f7b3

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