A Review on the Application of Chemometrics and Machine Learning Algorithms to Evaluate Beer Authentication

Beer is considered one of the top three most popular drinks, being consumed all over the world. During the last few decades, discrimination of beverages and food products has gained attention with many application research studies based on chemical parameters and chemometric or machine learning algo...

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Bibliographic Details
Published in:Food analytical methods 2021, Vol.14 (1), p.136-155
Main Authors: da Costa, Nattane Luíza, da Costa, Maxwell Severo, Barbosa, Rommel
Format: Article
Language:English
Subjects:
Aging
Algorithms
Analytical Chemistry
Beer
Beverages
Chemistry
Chemistry and Materials Science
Chemistry/Food Science
Chemometrics
Classification
Data mining
Evaluation
Food production
Food Science
Learning algorithms
Machine learning
Microbiology
Parameters
Planet detection
Quality management
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Summary:Beer is considered one of the top three most popular drinks, being consumed all over the world. During the last few decades, discrimination of beverages and food products has gained attention with many application research studies based on chemical parameters and chemometric or machine learning algorithms. However, no reviews about the evaluation of beers have been reported. Therefore, this review presents applications of beer classification among brands, styles and types, aging, origin, and the prediction of quality attributes of interest based on chemometric, machine learning methods, and chemical parameters. After analyzing the literature, it was found that chemometric and machine learning methods are successful tools for qualitative and quantitative examination of beers. However, more work needs to be done to evaluate machine learning methods and data mining algorithms, such as sampling, feature selection, and advanced classification algorithms.
ISSN:1936-9751
1936-976X
DOI:10.1007/s12161-020-01864-7