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CHEMOMETRIC TOOLS AND FTIR-ATR SPECTROSCOPY APPLIED IN MILK ADULTERATED WITH CHEESE WHEY

机译:化学计量工具和FTIR-ATR光谱应用在牛奶中掺假奶酪乳清

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摘要

Brazilian law forbids the addition of cheese whey in milk. However, adulteration with cheese whey is one of the most applied fraud due to its low cost. The detection of this fraud is the quantification of Caseinomacropeptide (CMP). The CMP is a constituent of the whey that can be used as adulteration marker. Thus, an analytical method capable of identifying CMP by Fourier Transform Infrared Spectra (FTIR) was developed using chemometrics methods. Firstly, we attempted to develop an exploratory analysis model by Hierarchical Grouping Analysis (HCA) and Principal Component Analysis (PCA) that indicated similarity between samples of raw milk and semi-skimmed milk. Moreover, in the PCA scores, it was possible to observe a tendency of separation between samples with different concentrations of CMP. Afterwards, multivariate regression models were used for Partial Least Squares (PLS), Partial Least Square with Interval Synergism (siPLS) and Supporting Machines with Least Squares (LS-SVM) to quantify the adulteration in different types of milk by Cheese serum through the CMP. All the models were then compared to each other and the results of the official method with Liquid Chromatography Tandem mass spectrometry (LCMS/MS) analysis used by the Ministry of Livestock and Supply (MAPA). The model LS-SVM, employing the full spectrum, obtained the best result compared to the other models (PLS and siPLS) to quantify the CMP in the milk samples.
机译:巴西法律禁止加入牛奶中的奶酪乳清。然而,由于其低成本,乳酪乳清的掺假乳清是最应用的欺诈之一。该欺诈的检测是定量酪蛋白肽(CMP)。 CMP是可以用作掺杂标记的乳清的组成部分。因此,使用化学计量方法开发了能够通过傅里叶变换红外光谱(FTIR)识别CMP的分析方法。首先,我们试图通过分层分析分析(HCA)和主要成分分析(PCA)制定探索性分析模型,并在原牛奶和半脱脂牛奶样品之间表明相似性。此外,在PCA分数中,可以观察不同浓度CMP的样品之间的分离趋势。之后,多变量回归模型用于部分最小二乘(PLS),部分最小二乘,间隔协同作用(SIPLS)和具有最小二乘(LS-SVM)的机器,通过CMP通过奶酪血清量化不同类型的牛奶中的掺杂物。然后将所有型号相互比较,以及牲畜和供应部(MAPA)使用的液相色谱串联质谱(LCMS / MS)分析的官方方法的官方方法的结果。与其他型号(PLS和SIPLS)相比,使用全谱的LS-SVM模型获得了最佳结果,以在牛奶样品中量化CMP。

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