Integrating multiple analytical platforms and chemometrics for comprehensive metabolic profiling: Application to meat spoilage detection

Analytical and Bioanalytical Chemistry

Volumn 405, Issue 15, 2013, Pages 5063-5074

  Xu, Yun ^a   Correa, Elon ^a   Goodacre, Royston ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Bayesian network; Correlation analysis; Data fusion; Multi block partial least squares; Multi block principal component analysis; Pork spoilage; Salmonella typhimurium

Indexed keywords

COMPREHENSIVE METABOLIC PROFILING; CORRELATION ANALYSIS; METABOLIC PROFILING; MICROBIAL COMMUNITIES; MULTI BLOCKS; PARTIAL LEAST SQUARE (PLS); SALMONELLA TYPHIMURIUM; VOLATILE ORGANIC COMPOUNDS (VOCS);

BAYESIAN NETWORKS; BIOMOLECULES; CHEMICAL ANALYSIS; CORRELATION METHODS; DATA FUSION; MEATS; METABOLISM; METABOLITES; PRINCIPAL COMPONENT ANALYSIS; SALMONELLA; SURFACE MOUNT TECHNOLOGY; VOLATILE ORGANIC COMPOUNDS;

SPOILAGE;

ANIMAL; ARTICLE; BAYES THEOREM; FOOD ANALYSIS; FRACTIONATION; GENE EXPRESSION REGULATION; MASS FRAGMENTOGRAPHY; MEAT; METABOLISM; METHODOLOGY; MICROBIOLOGY; PHYSIOLOGY; PRINCIPAL COMPONENT ANALYSIS; SALMONELLA TYPHIMURIUM; STANDARD;

ANIMALS; BAYES THEOREM; CHEMICAL FRACTIONATION; FOOD ANALYSIS; GAS CHROMATOGRAPHY-MASS SPECTROMETRY; GENE EXPRESSION REGULATION, BACTERIAL; MEAT; PRINCIPAL COMPONENT ANALYSIS; SALMONELLA TYPHIMURIUM;

SALMONELLA TYPHIMURIUM;

EID: 84878268081     PISSN: 16182642     EISSN: 16182650     Source Type: Journal    
DOI: 10.1007/s00216-013-6884-3     Document Type: Article

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