Prediction of fatty acid composition in camellia oil by 1H NMR combined with PLS regression-Reference-Cited by-同舟云学术

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Prediction of fatty acid composition in camellia oil by 1H NMR combined with PLS regression

Published:2019-05 Issue: Volume:279 Page:339-346
ISSN:0308-8146
Container-title:Food Chemistry
language:en
Short-container-title:Food Chemistry

Author:

Zhu MengTing,Shi Ting,Chen Yi,Luo ShuHan,Leng Tuo,Wang YangLing,Guo Cong,Xie MingYong

Funder

National Natural Science Foundation of China

Key Technologies R & D Program of Jiangxi Province

State Key Laboratory of Food Science and Technology

Natural Science Foundation of Jiangxi

Publisher

Elsevier BV

Subject

General Medicine,Food Science,Analytical Chemistry

Reference35 articles.

1. Chemical compositions of hardwood and softwood pulps employing photoacoustic Fourier transform infrared spectroscopy in combination with partial least-squares analysis;Bjarnestad;Analytical Chemistry,2002

2. Evaluation and optimization of the analysis of fatty acid types in edible oils by 1H NMR;Castejón;Food Analytical Methods,2014

3. Quantification of total polysaccharides and triterpenoids in Ganoderma lucidum, and Ganoderma atrum, by near infrared spectroscopy and chemometrics;Chen;Food Chemistry,2012

4. The analysis of trans fatty acid profiles in deep frying palm oil and chicken fillets with an improved gas chromatography method;Chen;Food Control,2014

5. Quality control and original discrimination of Ganoderma lucidum based on high-performance liquid chromatographic fingerprints and combined chemometrics methods;Chen;Analytica Chimica Acta,2008

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