Detection of Adulteration in Canola Oil by Using GC-IMS and Chemometric Analysis
Joint Authors
Chen, Tong
Chen, Xinyu
Lu, Daoli
Chen, Bin
Source
International Journal of Analytical Chemistry
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-23
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The aim of the present study was to detect adulteration of canola oil with other vegetable oils such as sunflower, soybean, and peanut oils and to build models for predicting the content of adulterant oil in canola oil.
In this work, 147 adulterated samples were detected by gas chromatography-ion mobility spectrometry (GC-IMS) and chemometric analysis, and two methods of feature extraction, histogram of oriented gradient (HOG) and multiway principal component analysis (MPCA), were combined to pretreat the data set.
The results evaluated by canonical discriminant analysis (CDA) algorithm indicated that the HOG-MPCA-CDA model was feasible to discriminate the canola oil adulterated with other oils and to precisely classify different levels of each adulterant oil.
Partial least square analysis (PLS) was used to build prediction models for adulterant oil level in canola oil.
The model built by PLS was proven to be effective and precise for predicting adulteration with good regression (R2>0.95) and low errors (RMSE ≤ 3.23).
American Psychological Association (APA)
Chen, Tong& Chen, Xinyu& Lu, Daoli& Chen, Bin. 2018. Detection of Adulteration in Canola Oil by Using GC-IMS and Chemometric Analysis. International Journal of Analytical Chemistry،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1166350
Modern Language Association (MLA)
Chen, Tong…[et al.]. Detection of Adulteration in Canola Oil by Using GC-IMS and Chemometric Analysis. International Journal of Analytical Chemistry No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1166350
American Medical Association (AMA)
Chen, Tong& Chen, Xinyu& Lu, Daoli& Chen, Bin. Detection of Adulteration in Canola Oil by Using GC-IMS and Chemometric Analysis. International Journal of Analytical Chemistry. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1166350
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1166350