Application of mid-infrared spectroscopy with multivariate analysis and soft independent modeling of class analogies (SIMCA) for the detection of adulterants in minced beef

Meat Science

Volumn 86, Issue 2, 2010, Pages 511-519

  Meza Márquez, Ofelia G ^a   Gallardo Velázquez, Tzayhrí ^a   Osorio Revilla, Guillermo ^a  

^a INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

Author keywords

FTIR; Meat adulteration; Multivariate analysis

Indexed keywords

ABSORBANCES; ASH CONTENTS; CALIBRATION MODEL; CHEMICAL COMPOSITIONS; CHEMICAL PARAMETERS; CHEMOMETRIC ANALYSIS; CHEMOMETRICES; FTIR; GOOD CORRELATIONS; INFRARED SPECTRUM; MEAT QUALITY; MEAT SAMPLES; MID-INFRARED SPECTROSCOPY; MINCED BEEF; MULTIVARIATE ANALYSIS; PARTIAL LEAST SQUARE ALGORITHMS; PRE-TREATMENTS; SIMCA MODELS; SOFT INDEPENDENT MODELING OF CLASS ANALOGIES; SOY PROTEIN; STANDARD ERRORS;

CALIBRATION; CHEMICAL ANALYSIS; ERRORS; INFRARED SPECTROSCOPY; MEATS; PROTEINS; TRIMMING; VOLTAGE MEASUREMENT; WATER CONTENT;

MULTIVARIANT ANALYSIS;

SOYBEAN PROTEIN;

ALGORITHM; ANIMAL; ARTICLE; CATTLE; FOOD CONTAMINATION; HORSE; INFRARED SPECTROPHOTOMETRY; INFRARED SPECTROSCOPY; MEAT; METHODOLOGY; MULTIVARIATE ANALYSIS; REGRESSION ANALYSIS; STANDARD; STATISTICAL MODEL; VALIDATION STUDY;

ALGORITHMS; ANIMALS; CATTLE; FOOD CONTAMINATION; HORSES; LEAST-SQUARES ANALYSIS; MEAT PRODUCTS; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; REFERENCE STANDARDS; SOYBEAN PROTEINS; SPECTROPHOTOMETRY, INFRARED; SPECTROSCOPY, FOURIER TRANSFORM INFRARED;

EQUIDAE; GLYCINE MAX;

EID: 77955089052     PISSN: 03091740     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.meatsci.2010.05.044     Document Type: Article

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