Prediction of fatty acid composition in camellia oil by

Analysis of Variance Camellia / chemistry Fatty Acids / analysis Fatty Acids, Unsaturated / analysis Least-Squares Analysis Plant Oils / analysis Proton Magnetic Resonance Spectroscopy / methods Signal Processing, Computer-Assisted
(1)H NMR Camellia oil Fatty acid composition PLS

Journal

Food chemistry
ISSN: 1873-7072
Titre abrégé: Food Chem
Pays: England
ID NLM: 7702639

Informations de publication

Date de publication:
01 May 2019
Historique:
received: 25 09 2018
revised: 26 11 2018
accepted: 06 12 2018
entrez: 7 1 2019
pubmed: 7 1 2019
medline: 12 2 2019
Statut: ppublish

Résumé

A rapid method for the determination of fatty acid (FA) composition in camellia oils was developed based on the

Identifiants

DOI: 10.1016/j.foodchem.2018.12.025 PMID: 30611499
pubmed: 30611499
pii: S0308-8146(18)32120-4
doi: 10.1016/j.foodchem.2018.12.025
pii:
doi:

Substances chimiques

Fatty Acids 0
Fatty Acids, Unsaturated 0
Plant Oils 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

339-346

Informations de copyright

Copyright © 2018 Elsevier Ltd. All rights reserved.

Auteurs

MengTing Zhu (M)

State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, People's Republic of China.

Ting Shi (T)

State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, People's Republic of China.

Yi Chen (Y)

State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, People's Republic of China. Electronic address: chenyi15@ncu.edu.cn.

ShuHan Luo (S)

State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, People's Republic of China.

Tuo Leng (T)

State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, People's Republic of China.

YangLing Wang (Y)

State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, People's Republic of China.

Cong Guo (C)

State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, People's Republic of China.

MingYong Xie (M)

State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, People's Republic of China.

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Classifications MeSH

questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Analyse de variance › Prediction of fatty acid composition in camellia oil by
questionsmedicales.fr › Eucaryotes › Viridiplantae › Streptophyta › Embryophyta › Tracheobionta › Magnoliopsida › Theales › Theaceae › Camellia › Prediction of fatty acid composition in camellia oil by
questionsmedicales.fr › Lipides › Acides gras › Prediction of fatty acid composition in camellia oil by
questionsmedicales.fr › Lipides › Acides gras › Acides gras insaturés › Prediction of fatty acid composition in camellia oil by
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Analyse de régression › Méthode des moindres carrés › Prediction of fatty acid composition in camellia oil by
questionsmedicales.fr › Mélanges complexes › Produits biologiques › Préparations à base de plantes › Huiles végétales › Prediction of fatty acid composition in camellia oil by
questionsmedicales.fr › Techniques d'investigation › Techniques de chimie analytique › Analyse spectrale › Spectroscopie par résonance magnétique › Spectroscopie par résonance magnétique du proton › Prediction of fatty acid composition in camellia oil by
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Traitement du signal assisté par ordinateur › Prediction of fatty acid composition in camellia oil by