Multivariate quality control solved by one-class partial least squares regression: identification of adulterated peanut oils by mid-infrared spectroscopy-Reference-Cited by-同舟云学术

Multivariate quality control solved by one-class partial least squares regression: identification of adulterated peanut oils by mid-infrared spectroscopy

Published:2011-10 Issue:10 Volume:25 Page:568-574
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:J. Chemometrics

Author:

Xu Lu¹,Cai Chen-Bo²,Deng De-Hua¹

Affiliation:

1. College of Chemistry and Chemical Engineering; Anyang Normal University; Anyang; 455000; Henan; China

2. Department of Chemistry and Life Science; Chuxiong Normal University; Chuxiong; 675000; China

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cem.1402/fullpdf

Reference42 articles.

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3. Development of a laboratory model screw press for peanut oil expression;Oyinlola;J. Food Eng.,2004

4. Identification of transgenic foods using NIR spectroscopy: a review;Alishahi;Spectrochim. Acta, Part A,2010

5. Near infrared spectroscopy for on/in-line monitoring of quality in foods and beverages: a review;Huang;J. Food Eng.,2008

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