Determination of Adulteration Content in Extra Virgin Olive Oil Using FT-NIR Spectroscopy Combined with the BOSS–PLS Algorithm
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Title
Determination of Adulteration Content in Extra Virgin Olive Oil Using FT-NIR Spectroscopy Combined with the BOSS–PLS Algorithm
Authors
Keywords
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Journal
MOLECULES
Volume 24, Issue 11, Pages 2134
Publisher
MDPI AG
Online
2019-06-06
DOI
10.3390/molecules24112134
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- Comparative Study using Raman and Visible Spectroscopy of Cretan Extra Virgin Olive Oil Adulteration with Sunflower Oil
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- (2013) Yong-Huan Yun et al. ANALYTICA CHIMICA ACTA
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