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...
| Published in: | AIP Conference Proceedings |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
American Institute of Physics Inc.
2018
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047361166&doi=10.1063%2f1.5036854&partnerID=40&md5=1ec52a1cce173104352a5638c031f7b3 |