Yazar "Menevseoglu, Ahmed" seçeneğine göre listele

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    Infrared spectroscopy combined with chemometrics as a convenient method to detect adulterations in cooking/stretching process in commercial cheese
    (Elsevier Sci Ltd, 2022) Ozturk, Mustafa; Dogan, Muhammed Ali; Menevseoglu, Ahmed; Ayvaz, Huseyin
    Stretching and kneading of the curd during fresh Kashar cheese manufacturing must take place in hot water; dry cooking/stretching of the curd with the assistance of emulsifying salts is not allowed. However, some producers in recent years tend to label their processed cheese as Kashar cheese resulting in unfair economic gain and consumer deception. Near-infrared (NIR) diffuse reflectance and mid-infrared (MIR) attenuated total reflectance (ATR) spectroscopy were assessed for the fast and convenient identification of these two types of cheese. Soft independent modeling of class analogy (SIMCA) models of both NIR and MIR-ATR spectra were developed; the latter gave superior separation due to the greater inter-class distance originating from better-resolved peaks associated with phosphates (6.7 for MIR-ATR versus 3.2 for NIR). Information Theory determined two and three variables were enough for MIR and NIR spectral data classification, respectively; quadratic discriminant and support vector machine provided 100% accuracy for class prediction. (C) 2021 Published by Elsevier Ltd.
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    Infrared spectroscopy-based rapid determination of adulteration in commercial sheep's milk cheese via n-hexane and ethanolic extraction
    (Elsevier Sci Ltd, 2023) Menevseoglu, Ahmed; Gumus-Bonacina, Cansu Ekin; Gunes, Nurhan; Ayvaz, Huseyin; Dogan, Muhammed Ali
    This study aimed to authenticate a commercial cheese using FT-IR spectroscopy combined with che-mometrics via ethanol and n-hexane extraction. Erzincan Tulum cheese (ETC) is one of the most pro-duced and consumed cheeses in Turkiye. With an increase in production and consumption, adulteration has become a concern. Authentic ETC (n = 24) and non-authentic cheese samples (n = 22) were pur-chased from local markets. Ethanol and n-hexane extracts of the ETC were used for FT-IR analysis. Ali-quots of the extracts were placed on a zinc selenide crystal, dried, and scanned in the mid-infrared region (4000-650 cm-1). Partial least squares-discriminant analysis (PLS-DA), soft independent modelling of class analogy (SIMCA), and conditional entropy (CE) were used as chemometric tools. PLS-DA and SIMCA provided 99% accuracy, followed by CE as low as 93.5%. Despite some disadvantages, overall, FT-IR spectroscopy with chemometrics is simple, rapid, and an inexpensive tool to detect cheese adulteration.(c) 2022 Elsevier Ltd. All rights reserved.