Class-modelling in food analytical chemistry: Development, sampling, optimisation and validation issues – A tutorial

Analytica Chimica Acta

Volumn 982, Issue , 2017, Pages 9-19

  Oliveri, Paolo ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

Class modelling; Discriminant analysis; Food authenticity; One class classification; Optimisation; Validation

Indexed keywords

CHEMICAL ANALYSIS; DISCRIMINANT ANALYSIS; FOOD PRODUCTS; PATTERN RECOGNITION;

FOOD AUTHENTICITY; FUNDAMENTAL BRANCHES; MODELLING STRATEGIES; ONE-CLASS CLASSIFICATION; ONE-CLASS PROBLEMS; OPTIMISATIONS; QUALITATIVE DATA; VALIDATION;

ANALYTICAL MODELS;

ARTICLE; CHEMISTRY; CHEMOMETRICS; CLASS MODELLING; CLASSIFICATION; CLASSIFIER; DISCRIMINANT ANALYSIS; FOOD; FOOD ANALYSIS; FOOD ANALYTICAL CHEMISTRY; PARTIAL LEAST SQUARES REGRESSION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; SUPPORT VECTOR MACHINE; VALIDATION PROCESS; ALGORITHM; AUTOMATED PATTERN RECOGNITION; CHEMICAL ANALYSIS; PROCEDURES; SPECIMEN HANDLING;

ALGORITHMS; CHEMISTRY TECHNIQUES, ANALYTICAL; DISCRIMINANT ANALYSIS; FOOD ANALYSIS; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; SPECIMEN HANDLING;

EID: 85019758789     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2017.05.013     Document Type: Review

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