Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/11796
Title: Potential of Fourier-transform infrared spectroscopy in adulteration detection and quality assessment in buffalo and goat milks
Authors: Şen, Sevval
Dündar, Zahide
Uncu, Oğuz
Özen, Banu
Keywords: Goat milk
Buffalo milk
Cow milk
Adulteration
Infrared spectroscopy
Issue Date: 2021
Publisher: Elsevier
Abstract: Adulteration of higher priced milks with cheaper ones to obtain extra profit can be the cause of adverse health effects as well as economic loss. In this study, it was aimed to differentiate goat-cow and buffalo-cow milk mixtures and also to estimate the critical quality parameters of these milks by the evaluation of Fourier-transform infrared (FTIR) spectroscopic data with chemometric methods. Raw goat and buffalo milks were mixed with cow milk at 1-50% (v/v) concentrations and FTIR spectra of the pure and mixed samples were obtained at 4000-650 cm-1. Orthogonal partial least square discriminant analysis (OPLS-DA) resulted in differentiation of goat-cow and buffalo-cow milk mixtures with 93% and 91% correct classification rates, respectively. Detection level for mixing is determined as higher than 5% for both milks. Total fat, protein, lactose and non-fat solid contents were predicted from FTIR spectral data of the combination of three types of milks by partial least square models with R2 values of 0.99. As a result, FTIR spectroscopy provides rapid and simultaneous detection of adulteration and prediction of quality parameters regardless of the milk type.
URI: https://doi.org/10.1016/j.microc.2021.106207
https://hdl.handle.net/11147/11796
ISSN: 0026-265X
1095-9149
Appears in Collections:Food Engineering / Gıda Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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