Varietal discrimination of hop pellets by near and mid infrared spectroscopy

Hop is one of the most important ingredients of beer production and several varieties are commercialized. Therefore, it is important to find an eco-real-time-friendly-low-cost technique to distinguish and discriminate hop varieties. This paper describes the development of a method based on vibration...

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Veröffentlicht in:Talanta (Oxford) 2018-04, Vol.180, p.69-75
Hauptverfasser: Machado, Julio C., Faria, Miguel A., Ferreira, Isabel M.P.L.V.O., Páscoa, Ricardo N.M.J., Lopes, João A.
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Sprache:eng
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Zusammenfassung:Hop is one of the most important ingredients of beer production and several varieties are commercialized. Therefore, it is important to find an eco-real-time-friendly-low-cost technique to distinguish and discriminate hop varieties. This paper describes the development of a method based on vibrational spectroscopy techniques, namely near- and mid-infrared spectroscopy, for the discrimination of 33 commercial hop varieties. A total of 165 samples (five for each hop variety) were analysed by both techniques. Principal component analysis, hierarchical cluster analysis and partial least squares discrimination analysis were the chemometric tools used to discriminate positively the hop varieties. After optimizing the spectral regions and pre-processing methods a total of 94.2% and 96.6% correct hop varieties discrimination were obtained for near- and mid-infrared spectroscopy, respectively. The results obtained demonstrate the suitability of these vibrational spectroscopy techniques to discriminate different hop varieties and consequently their potential to be used as an authenticity tool. Compared with the reference procedures normally used for hops variety discrimination these techniques are quicker, cost-effective, non-destructive and eco-friendly. [Display omitted] •Discrimination of the most important commercial hop varieties through near and mid infrared spectroscopy;•Use of chemometric tools, optimization of spectral regions and pre-processing methods;•94.2% correct hop varieties discrimination with near-infrared spectroscopy;•96.6% correct hop varieties discrimination with mid-infrared spectroscopy;•The method proved to be accurate, cost-effective, non-destructive and eco-friendly;
ISSN:0039-9140
1873-3573
DOI:10.1016/j.talanta.2017.12.030