Combining Partial Least Squares (PLS) Discriminant Analysis and Rapid Visco Analyser (RVA) to Classify Barley Samples According to Year of Harvest and Locality

Cozzolino, D, Roumeliotis, S and Eglinton, J 2014, 'Combining Partial Least Squares (PLS) Discriminant Analysis and Rapid Visco Analyser (RVA) to Classify Barley Samples According to Year of Harvest and Locality', Food Analytical Methods, vol. 7, no. 4, pp. 887-892.


Document type: Journal Article
Collection: Journal Articles

Title Combining Partial Least Squares (PLS) Discriminant Analysis and Rapid Visco Analyser (RVA) to Classify Barley Samples According to Year of Harvest and Locality
Author(s) Cozzolino, D
Roumeliotis, S
Eglinton, J
Year 2014
Journal name Food Analytical Methods
Volume number 7
Issue number 4
Start page 887
End page 892
Total pages 6
Publisher Springer New York LLC
Abstract The aim of this study was to evaluate the usefulness of the Rapid Visco Analyser (RVA) instrument combined with pattern recognition methods as tools to differentiate commercial barley samples from two South Australian localities and three harvests. Principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) and stepwise discriminant analysis were applied to classify samples based on the RVA profiles using full cross validation (leave-one-out) as the validation method. The PLS-DA models correctly classify 96.3 and 97.8 % of the barley samples according to harvest and locality, using the profiles generated by the RVA instrument. Analysis and interpretation of the eigenvectors and loadings from the PCA or PLS-DA models developed verified that the RVA profiles contain relevant information related to starch pasting properties that allows sample classification. These results suggest that RVA coupled with PLS-DA holds necessary information for a successful classification of barley samples sourced from different localities and harvests. © 2013 Springer Science+Business Media New York.
Subject Food Sciences not elsewhere classified
Keyword(s) Barley
Discriminant analysis
Principal component analysis
RVA
Starch
DOI - identifier 10.1007/s12161-013-9696-3
Copyright notice © Springer Science+Business Media New York 2013
ISSN 1936-9751
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