Application of multivariate analysis in mid-infrared spectroscopy as a tool for the evaluation of waste frying oil blends

JAOCS, Journal of the American Oil Chemists' Society

Volumn 89, Issue 5, 2012, Pages 781-786

  Hocevar, Luciano ^a   Soares, Vitória R B ^a,b   Oliveira, Fábio S ^c   Korn, Maria Graças A ^a   Teixeira, Leonardo S G ^a  

^a FEDERAL UNIVERSITY OF BAHIA   (Brazil)

^b Ciencia e Tecnologia Baiano   (Brazil)

^c UNIVERSIDADE FEDERAL DO RECÔNCAVO DA BAHIA   (Brazil)

Author keywords

Multivariate calibration; Partial least squares; Principal component analysis; Waste frying oils

Indexed keywords

ANALYTICAL METHOD; BIODIESEL PRODUCTION; CHEMOMETRICES; FRYING OIL; LOW COSTS; MID-INFRARED SPECTRA; MID-INFRARED SPECTROSCOPY; MULTI VARIATE ANALYSIS; MULTIVARIATE CALIBRATION; OIL CONTENTS; PALM OIL; PARTIAL LEAST SQUARE (PLS); PARTIAL LEAST SQUARES MODELS; PLS MODELS; PRE-TREATMENT; PRODUCTION ROUTE; ROOT MEAN SQUARE ERRORS; SOYBEAN OIL; SPECTRAL DATA; WASTE FRYING OIL;

FORECASTING; HYDROGENATION; INFRARED DEVICES; INFRARED SPECTROSCOPY; MEAN SQUARE ERROR; OILSEEDS; PATTERN RECOGNITION; VEGETABLE OILS; VEGETABLES;

PRINCIPAL COMPONENT ANALYSIS;

ELAEIS; GLYCINE MAX;

EID: 84861670537     PISSN: 0003021X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11746-011-1968-8     Document Type: Article

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