Classification and Authentication of Barley (Hordeum vulgare) Malt Varieties: Combining Attenuated Total Reflectance Mid-infrared Spectroscopy with Chemometrics

Porker, K, Zerner, M and Cozzolino, D 2017, 'Classification and Authentication of Barley (Hordeum vulgare) Malt Varieties: Combining Attenuated Total Reflectance Mid-infrared Spectroscopy with Chemometrics', Food Analytical Methods, vol. 10, no. 3, pp. 675-682.


Document type: Journal Article
Collection: Journal Articles

Title Classification and Authentication of Barley (Hordeum vulgare) Malt Varieties: Combining Attenuated Total Reflectance Mid-infrared Spectroscopy with Chemometrics
Author(s) Porker, K
Zerner, M
Cozzolino, D
Year 2017
Journal name Food Analytical Methods
Volume number 10
Issue number 3
Start page 675
End page 682
Total pages 8
Publisher Springer New York LLC
Abstract Attenuated total reflectance (ATR) mid-infrared (MIR) spectroscopy combined with chemometrics was explored as a tool to classify and authenticate Australian barley varieties. Grain samples (n = 162) were sourced from eight commercial barley varieties and analysed in the MIR range. Principal component analysis (PCA), discriminant partial least squares regression (PLS-DA), linear discriminant analysis (LDA) and soft independent modelling of class analogy (SIMCA) were used to classify the barley grain samples according to variety. PLS-DA correctly classified barley varieties between 91 and 100 %. The results have demonstrated the usefulness of ATR-MIR spectroscopy combined with chemometrics as a rapid method to classify barley grain samples according to their variety. Although MIR is not routinely available at the receival point in most of the cereal trade companies, it has the potential to be used in breeding programmes.
Subject Food Sciences not elsewhere classified
Keyword(s) Barley
Discrimination
Principal component analysis
Linear discriminant analysis
Attenuated total reflection
DOI - identifier 10.1007/s12161-016-0627-y
Copyright notice © Springer Science+Business Media New York 2016
ISSN 1936-9751
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 0 times in Scopus Article
Altmetric details:
Access Statistics: 8 Abstract Views  -  Detailed Statistics
Created: Tue, 26 Mar 2019, 09:36:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us