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• W3015585008 abstract "In recent years, much analysis has been carried out regarding the chemical compositions of nonalcoholic and alcoholic beverages. However, no study has ever considered the compositional pitfalls inherent in such studies, which may lead to arbitrary results. Two approaches were compared in this paper, compositional data analysis (CoDa) and classical statistical analyses, to demonstrate (1) how aging affects beer and (2) how the results vary depending on the applied approach. Exemplarily, chemical compounds of 43 beer samples were analyzed. Our work has led us to obtain different results when the correlation analysis and principal component analysis were conducted on the unmodified-, log-transformed-, or closed-data in contrary to the analyses of log-ratio coordinates. The outcome of the latter provided better separation between aged and fresh beer samples and also easier interpretability. These results lead us to advise the usage of CoDa methods for the analyses of chemical compositions of beverages." @default.
• W3015585008 created "2020-04-17" @default.
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• W3015585008 date "2020-09-01" @default.
• W3015585008 modified "2023-10-03" @default.
• W3015585008 title "Analysis of chemical compounds in beverages – Guidance for establishing a compositional analysis" @default.
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• W3015585008 doi "https://doi.org/10.1016/j.foodchem.2020.126755" @default.
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