Detection and quantification of adulteration of sesame oils with vegetable oils using gas chromatography and multivariate data analysis

Food Chemistry

Volumn 188, Issue , 2015, Pages 415-421

  Peng, Dan ^a   Bi, Yanlan ^a   Ren, Xiaona ^a   Yang, Guolong ^a   Sun, Shangde ^a   Wang, Xuede ^a  

^a HENAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Adulterated sesame oil; Classification; Gas chromatography; Multivariate data analysis; Quantification

Indexed keywords

CHROMATOGRAPHY; CLASSIFICATION (OF INFORMATION); DATA HANDLING; FORECASTING; GAS OILS; INFORMATION ANALYSIS; LEAST SQUARES APPROXIMATIONS; MEAN SQUARE ERROR; MIXING; MULTIVARIANT ANALYSIS; OIL SHALE; SUPPORT VECTOR MACHINES; VEGETABLE OILS;

DETECTION AND QUANTIFICATIONS; HIERARCHICAL APPROACH; MULTIVARIATE DATA ANALYSIS; PARTIAL LEAST SQUARE METHODS; QUANTIFICATION; ROOT MEAN SQUARE ERRORS; SESAME OIL; SUPPORT VECTOR MACHINE ALGORITHM;

GAS CHROMATOGRAPHY;

SESAME SEED OIL; VEGETABLE OIL;

ARTICLE; GAS CHROMATOGRAPHY; LIMIT OF DETECTION; LIMIT OF QUANTITATION; MULTIVARIATE ANALYSIS; PARTIAL LEAST SQUARES REGRESSION; PREDICTIVE VALUE; QUANTITATIVE ANALYSIS; SUPPORT VECTOR MACHINE; ANALYSIS; CHEMISTRY; CLUSTER ANALYSIS; FOOD CONTAMINATION; LEAST SQUARE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS;

SESAMUM INDICUM;

CHROMATOGRAPHY, GAS; CLUSTER ANALYSIS; FOOD CONTAMINATION; LEAST-SQUARES ANALYSIS; MULTIVARIATE ANALYSIS; PLANT OILS; PRINCIPAL COMPONENT ANALYSIS; SESAME OIL; SUPPORT VECTOR MACHINE;

EID: 84929165285     PISSN: 03088146     EISSN: 18737072     Source Type: Journal    
DOI: 10.1016/j.foodchem.2015.05.001     Document Type: Article

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