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    Confirmation of brand identity of a Trappist beer by mid-infrared spectroscopy coupled with multivariate data analysis

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    Beer_article_Talanta_doc.doc
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    Author
    Engel, J.
    Blanchet, L.
    Buydens, L.M.C.
    Downey, Gerard
    Keyword
    authenticity
    Fourier-transform infrared spectroscopy
    extended canonical variates analysis
    Robust principal component analysis
    Date
    2012
    
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    URI
    http://hdl.handle.net/11019/59
    Citation
    Engel, J.; Blanchet, L.; Buydens, L. M. C.; Downey, G. Confirmation of brand identity of a Trappist beer by mid-infrared spectroscopy coupled with multivariate data analysis. Talanta, 2011, 99, 426-432. DOI:10.1016/j.talanta.2012.06.005
    Abstract
    Authentication of foods is of importance both to consumers and producers for e.g. confidence in label descriptions and brand protection respectively. The authentication of beers has received limited attention and in most cases only small data sets were analysed. In this study, Fourier-transform infrared attenuated total reflectance (FT-IR ATR) spectroscopy was applied to a set of 267 beers (53 different brands) to confirm claimed identity for samples of a single beer brand based on their spectral profiles. Skewness-adjusted robust principal component analysis (ROBPCA) was deployed to detect outliers in the data. Subsequently, extended canonical variates analysis (ECVA) was used to reduce the dimensionality of the data while simultaneously achieving maximum class separation. Finally, the reduced data were used as inputs to various linear and non-linear classifiers. Work focused on the specific identification of Rochefort 8º (a Trappist beer) and both direct and indirect (using an hierarchical approach) identification strategies were studied. For the classification problems Rochefort versus non-Rochefort, Rochefort 8º versus non-Rochefort 8º and Rochefort 8º versus Rochefort 6º and 10º, correct prediction abilities of 93.8%, 93.3% and 97.3% respectively were achieved.
    Funder
    European Union
    ae974a485f413a2113503eed53cd6c53
    http://dx.doi.org/10.1016/j.talanta.2012.06.005
    Scopus Count
    Collections
    Food Chemistry & Technology
    Food Chemistry & Technology
    Food Quality & Sensory Science

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