Classification and adulteration detection of vegetable oils based on fatty acid profiles

Journal of Agricultural and Food Chemistry

Volumn 62, Issue 34, 2014, Pages 8745-8751

  Zhang, Liangxiao ^a,b   Li, Peiwu ^a,b   Sun, Xiaoman ^a,b   Wang, Xuefang ^a,b   Xu, Baocheng ^a,b   Wang, Xiupin ^a,b   Ma, Fei ^a,b   Zhang, Qi ^a,b   Ding, Xiaoxia ^a,b  

^a INSTITUTE OF PLANT PROTECTION   (China)

^b AGRO ENVIRONMENTAL PROTECTION INSTITUTE   (China)

Author keywords

adulteration identification; chemometrics; edible oil; fatty acid profiles; GC MS

Indexed keywords

AUTHENTICATION; DECISION TREES; FOOD SAFETY; GAS CHROMATOGRAPHY; GAS OILS; HIERARCHICAL CLUSTERING; MASS SPECTROMETRY; MONTE CARLO METHODS; MULTIVARIANT ANALYSIS; OILS AND FATS; RANDOM FORESTS; VEGETABLE OILS; FATTY ACIDS; OIL SHALE; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL METHODS;

CHEMOMETRICS; EQUIVALENT CHAIN LENGTHS; FATTY ACID PROFILES; FOOD QUALITY AND SAFETIES; GC/MS; HIERARCHICAL CLUSTERING ANALYSIS; MULTIVARIATE STATISTICAL METHOD; SELECTED ION MONITORING; EDIBLE OIL;

FATTY ACIDS; OILS AND FATS;

FATTY ACID; VEGETABLE OIL;

ANALYSIS; CHEMISTRY; CLASSIFICATION; EVALUATION STUDY; FOOD ANALYSIS; FOOD CONTAMINATION; MASS FRAGMENTOGRAPHY; PROCEDURES;

FATTY ACIDS; FOOD ANALYSIS; FOOD CONTAMINATION; GAS CHROMATOGRAPHY-MASS SPECTROMETRY; PLANT OILS;

EID: 84906751083     PISSN: 00218561     EISSN: 15205118     Source Type: Journal    
DOI: 10.1021/jf501097c     Document Type: Article

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