Ion mobility spectrometry fingerprints: A rapid detection technology for adulteration of sesame oil

Food Chemistry

Volumn 192, Issue , 2016, Pages 60-66

  Zhang, Liangxiao ^a,b,c   Shuai, Qian ^a,b   Li, Peiwu ^a,b   Zhang, Qi ^a,b   Ma, Fei ^a,b   Zhang, Wen ^a,b   Ding, Xiaoxia ^a,b  

^a INSTITUTE OF PLANT PROTECTION   (China)

^b AGRO ENVIRONMENTAL PROTECTION INSTITUTE   (China)

^c OCRI Syscan Joint Laboratory of Applications of Ion Mobility Spectrometry on Oilseed and Edible oils   (China)

Author keywords

Adulteration detection; Ion mobility spectrometry fingerprints; Random forests; Rapid detection technology; Recursive support vector machine; Sesame oil

Indexed keywords

CRIME; DECISION TREES; HEXANE; ION MOBILITY SPECTROMETERS; IONS; SPECTROMETRY; SUPPORT VECTOR MACHINES; VEGETABLE OILS;

CHEMOMETRIC METHOD; CLASSIFICATION MODELS; DISCRIMINANT MODELS; ION MOBILITY SPECTROMETRY; OIL SAMPLES; RANDOM FORESTS; RAPID DETECTION; SESAME OIL;

PALMPRINT RECOGNITION;

EDIBLE OIL; HEXANE; SESAME SEED OIL; SOYBEAN OIL; VEGETABLE OIL;

ACCURACY; ADULTERATION; ARTICLE; CHEMICAL MODIFICATION; CHEMOMETRIC ANALYSIS; DISCRIMINANT ANALYSIS; ION MOBILITY SPECTROMETRY; RANDOM FOREST; SUPPORT VECTOR MACHINE; ANALYSIS; CHEMISTRY; FOOD CONTAMINATION; PROCEDURES; SPECTROSCOPY;

SESAMUM INDICUM;

FOOD CONTAMINATION; PLANT OILS; SESAME OIL; SPECTRUM ANALYSIS;

EID: 84936867291     PISSN: 03088146     EISSN: 18737072     Source Type: Journal    
DOI: 10.1016/j.foodchem.2015.06.096     Document Type: Article

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