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Raman spectroscopy coupled with chemometric methods for the discrimination of foreign fats and oils in cream and yogurt

机译:拉曼光谱结合化学计量学方法来鉴别奶油和酸奶中的外来油脂

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摘要

The adulteration of milk fat in dairy products with cheaper non-milk based fats or oils is frequently encountered in the dairy industry. In this study, Raman spectroscopy with chemometric was used for the discrimination of foreign fats and oils in milk cream and yogurt. Firstly, binary mixtures of cream and oils (corn and sunflower oil), and vegetable fat blends which are potentially or currently used by the dairy industry were prepared. All fat or oil samples and their binary mixtures were examined by using Raman spectroscopy. Then, fat content of skim milk was adjusted to 3% (w/w) by the milk fat, external oils or fats, and binary mixtures, and was used in yogurt production. The lipid fraction of yogurt was extracted and characterized by Raman spectroscopy. The spectral data were then pre-processed and principal component analysis (PCA) was performed. Raman spectral data showed successful discrimination for about the source of the fats or oils. Temperature effect was also studied at six different temperatures (25, 30, 40, 50, 60 and 70?°C) in order to obtain the best spectral information. Raman spectra collected at higher temperatures were more intense. Obtained results showed that the performance of Raman spectroscopy with PCA was very promising and can be expected to provide a simple and quick way for the discrimination of foreign fats and oils in both milk cream and yogurt. Fermentation and yogurt processing affected clustering of fat samples by PCA, probably depending on some lipolysis or production of new products that can affect the Raman scattering. However, those changes did not affect differentiation of samples by Raman spectroscopy.
机译:在乳制品行业中,乳制品中的乳脂与廉价的非乳类脂肪或油的掺假现象屡见不鲜。在这项研究中,使用化学计量学的拉曼光谱法来鉴别乳脂和酸奶中的外来油脂。首先,制备了乳制品行业潜在或当前使用的奶油和油(玉米和葵花籽油)和植物脂肪混合物的二元混合物。使用拉曼光谱法检查所有油脂样品及其二元混合物。然后,通过乳脂,外部油脂或二元混合物将脱脂乳的脂肪含量调整为3%(w / w),并将其用于酸奶生产。提取酸奶的脂质部分并通过拉曼光谱法表征。然后对光谱数据进行预处理,并进行主成分分析(PCA)。拉曼光谱数据显示成功鉴别了脂肪或油的来源。为了获得最佳的光谱信息,还在六个不同温度(25、30、40、50、60和70°C)下研究了温度效应。在较高温度下收集的拉曼光谱更为强烈。所得结果表明,拉曼光谱与PCA的性能非常有前途,可以预期为鉴别乳脂和酸奶中的外来油脂提供一种简便快捷的方法。发酵和酸奶加工会影响PCA对脂肪样品的聚集,这可能取决于某些脂解作用或可能影响拉曼散射的新产品的生产。但是,这些变化不会影响拉曼光谱法对样品的区分。

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