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• W2897400766 abstract "Of the cold pressed edible oils, grape seed oil (GSO) is one of the highest quality and, consequently the most expensive oil. Because of that, adulteration by mixing GSOs up with lower price edible oils is frequently seen. The classification and determination of adulterant concentration for GSO is hence a focus of great interest. The aim of this study was to investigate the feasibility of ATR–MIR spectroscopy coupled with the multivariate methodology for qualitative and quantitative analyses of cold pressed GSO adulteration with refined soybean oil (SBO), by using characteristic wavenumber regions. Thirty three pure oils and ninety six blends were analyzed using ATR–MIR spectroscopy in combination with PCA, LDA, SIMCA and PLSR analysis. SIMCA models provided an excellent classification for pure GSO and other samples. The classification limits by ATR–MIR spectroscopy was also below 5%. Quantitative analyses were performed by minimization of RMSE of cross-validation values, which resulted in excellent predictions (R2 > 0.99). The prediction parameters for the sample sets were: the RMSEC were in the range 0.59–2.09% and, RMSECV were in the range 0.92–5.60%, hence on the basis of the PLSR models, quantification of adulterant could be determined at levels <0.59%." @default.
• W2897400766 created "2018-10-26" @default.
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• W2897400766 date "2019-02-01" @default.
• W2897400766 modified "2023-10-13" @default.
• W2897400766 title "Chemometric classification and quantification of cold pressed grape seed oil in blends with refined soybean oils using attenuated total reflectance–mid infrared (ATR–MIR) spectroscopy" @default.
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• W2897400766 doi "https://doi.org/10.1016/j.lwt.2018.10.046" @default.
• W2897400766 hasPublicationYear "2019" @default.
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