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Identification of cow, buffalo, goat and ewe milk species in fermented dairy products using synchronous fluorescence spectroscopy

机译:使用同步荧光光谱法鉴定发酵乳制品中的牛,水牛,山羊和母羊牛奶种类

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In the dairy industry, substitution of high priced milk species with low priced ones is a common practice, and determination of milk species is critical. In this study, synchronous fluorescence spectroscopy (SFS) method was developed for identification of milk species in fermented dairy products (yoghurt and cheese). Three partial least square-discriminant analysis models were developed in order to identify pure-mixed samples, milk species and binary mixture type, and partial least square (PLS) model was utilized to quantify the mixing ratio in binary mixtures. PLS models used for yoghurt and cheese samples showed that detection limits of adulteration were below 3.3%. Apart from the buffalo-cow yoghurt and goat-cow cheese, precision of the measurements was found to be below 6.2. It can be said that SFS technique is applicable on yoghurt and cheese samples as it's a less destructive and a less costly method compared to DNA and protein based conventional methods.
机译:在乳业中,用高价牛奶品种替代低价牛奶品种是一种常见的做法,而确定牛奶品种至关重要。在这项研究中,开发了同步荧光光谱(SFS)方法来鉴定发酵乳制品(酸奶和奶酪)中的牛奶种类。为了识别纯混合样品,牛奶种类和二元混合物类型,开发了三个偏最小二乘判别分析模型,并使用偏最小二乘(PLS)模型来量化二元混合物中的混合比例。用于酸奶和奶酪样品的PLS模型显示,掺假的检出限低于3.3%。除了水牛牛酸奶和山羊奶奶酪外,测量精度还低于6.2。可以说SFS技术适用于酸奶和奶酪样品,因为与基于DNA和蛋白质的传统方法相比,它是一种破坏性较小,成本较低的方法。

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