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Rapid detection of milk fat adulteration in yoghurts using near and mid-infrared spectroscopy
International Dairy Journal ( IF 3.1 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.idairyj.2020.104795 Riza Temizkan , Aygul Can , Muhammed Ali Dogan , Mustafa Mortas , Huseyin Ayvaz
International Dairy Journal ( IF 3.1 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.idairyj.2020.104795 Riza Temizkan , Aygul Can , Muhammed Ali Dogan , Mustafa Mortas , Huseyin Ayvaz
Abstract Both Fourier-transform near-infrared (FT-NIR) and mid-infrared (FT-MIR) spectroscopy with chemometrics were used for the fast detection of milk fat adulteration in yoghurts without sample preparation. Soft independent modelling of class analogy models of both NIR and MIR spectra showed successful detection of milk fat adulteration and identification of the type of adulterant oils. Partial least squares regression models of a representative adulterant yielded high correlation coefficients (above 0.98), low standard error of prediction (lower than 7.12%) and high residual predictive deviation values (above 4.35) for both NIR and MIR spectra. Additionally, regardless of the source of adulterant oils used, separate NIR and MIR PLSR models were developed for quantification of milk fat ratio (%) in yoghurts as an alternative approach to measuring the level of adulterant oil (%); NIR spectroscopy was found to be superior in these models.
中文翻译:
使用近红外和中红外光谱快速检测酸奶中的乳脂掺假
摘要 傅里叶变换近红外 (FT-NIR) 和中红外 (FT-MIR) 光谱与化学计量学均用于快速检测酸奶中的乳脂掺假,无需样品制备。NIR 和 MIR 光谱的类别类比模型的软独立建模显示成功检测到乳脂掺假和掺假油类型的识别。对于 NIR 和 MIR 光谱,代表性掺杂物的偏最小二乘回归模型产生了高相关系数(高于 0.98)、低标准预测误差(低于 7.12%)和高残余预测偏差值(高于 4.35)。此外,无论使用的掺假油的来源如何,开发了单独的 NIR 和 MIR PLSR 模型,用于量化酸奶中的乳脂率 (%),作为测量掺假油水平 (%) 的替代方法;发现 NIR 光谱在这些模型中更胜一筹。
更新日期:2020-11-01
中文翻译:
使用近红外和中红外光谱快速检测酸奶中的乳脂掺假
摘要 傅里叶变换近红外 (FT-NIR) 和中红外 (FT-MIR) 光谱与化学计量学均用于快速检测酸奶中的乳脂掺假,无需样品制备。NIR 和 MIR 光谱的类别类比模型的软独立建模显示成功检测到乳脂掺假和掺假油类型的识别。对于 NIR 和 MIR 光谱,代表性掺杂物的偏最小二乘回归模型产生了高相关系数(高于 0.98)、低标准预测误差(低于 7.12%)和高残余预测偏差值(高于 4.35)。此外,无论使用的掺假油的来源如何,开发了单独的 NIR 和 MIR PLSR 模型,用于量化酸奶中的乳脂率 (%),作为测量掺假油水平 (%) 的替代方法;发现 NIR 光谱在这些模型中更胜一筹。