Non-targeted detection of paprika adulteration using mid-infrared spectroscopy and one-class classification – Is it data preprocessing that makes the performance?

•A rapid method for non-targeted detection of paprika adulteration was developed.•Mid-infrared spectroscopy was combined with a one-class modelling technique.•One-class models were developed and extensively validated.•The influence of data preprocessing on the model performance was investigated. A m...

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Veröffentlicht in:	Food chemistry 2018-08, Vol.257, p.112-119
Hauptverfasser:	Horn, Bettina, Esslinger, Susanne, Pfister, Michael, Fauhl-Hassek, Carsten, Riedl, Janet
Format:	Artikel
Sprache:	eng
Schlagworte:	Capsicum - chemistry Data preprocessing Detection of adulteration Food authenticity Food Quality Fraud General anomaly testing One-class modelling Screening method Spectrophotometry, Infrared Statistics as Topic
Online-Zugang:	Volltext
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