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Identification of Imitation Cheese and Imitation Ice Cream Based on Vegetable Fat Using NMR Spectroscopy and Chemometrics

机译:核磁共振波谱和化学计量学鉴定基于植物脂肪的仿奶酪和仿冰淇淋

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Vegetable oils and fats may be used as cheap substitutes for milk fat to manufacture imitation cheese or imitation ice cream. In this study, 400 MHz nuclear magnetic resonance (NMR) spectroscopy of the fat fraction of the products was used in the context of food surveillance to validate the labeling of milk-based products. For sample preparation, the fat was extracted using an automated Weibull-Stoldt methodology. Using principal component analysis (PCA), imitation products can be easily detected. In both cheese and ice cream, a differentiation according to the type of raw material (milk fat and vegetable fat) was possible. The loadings plot shows that imitation products were distinguishable by differences in their fatty acid ratios. Furthermore, a differentiation of several types of cheese (Edamer, Gouda, Emmentaler, and Feta) was possible. Quantitative data regarding the composition of the investigated products can also be predicted from the same spectra using partial least squares (PLS) regression. The models obtained for 13 compounds in cheese (R20.75–0.95) and 17 compounds in ice cream (R20.83–0.99) (e.g., fatty acids and esters) were suitable for a screening analysis. NMR spectroscopy was judged as suitable for the routine analysis of dairy products based on milk or on vegetable fat substitutes.
机译:植物油和脂肪可用作牛奶脂肪的廉价替代品,以制造仿制奶酪或仿制冰淇淋。在这项研究中,将产品脂肪中的400 MHz核磁共振(NMR)光谱用于食品监控中,以验证牛奶基产品的标签。对于样品制备,使用自动化的Weibull-Stoldt方法提取脂肪。使用主成分分析(PCA),可以轻松检测仿制品。在奶酪和冰淇淋中,都可以根据原料类型(牛奶脂肪和植物脂肪)进行区分。装载图显示,通过脂肪酸比率的差异可以区分仿制品。此外,可以区分几种类型的奶酪(Edamer,Gouda,Emmentaler和Feta)。还可以使用偏最小二乘(PLS)回归从同一光谱中预测有关所研究产品组成的定量数据。对于奶酪中的13种化合物(R20.75–0.95)和冰淇淋中的17种化合物(R20.83–0.99)(例如脂肪酸和酯)获得的模型适用于筛选分析。 NMR光谱被认为适用于基于牛奶或植物脂肪替代品的乳制品的常规分析。

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