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通过分光光度法和多元校准快速检测奶粉样品中的乳清

Rapid detection of whey in milk powder samples by spectrophotometric and multivariate calibration.

作者信息

de Carvalho Bruna Mara Aparecida, de Carvalho Lorendane Millena, dos Reis Coimbra Jane Sélia, Minim Luis Antônio, de Souza Barcellos Edilton, da Silva Júnior Willer Ferreira, Detmann Edenio, de Carvalho Gleidson Giordano Pinto

机构信息

Department of Chemistry, Biotechnology and Bioprocess Engineering, Federal University of São João Del Rei, Ouro Branco, MG 36420-000, Brazil.

Department of Veterinary, Federal University of Viçosa, Viçosa, MG 36570-000, Brazil.

出版信息

Food Chem. 2015 May 1;174:1-7. doi: 10.1016/j.foodchem.2014.11.003. Epub 2014 Nov 8.

DOI:10.1016/j.foodchem.2014.11.003
PMID:25529644
Abstract

A rapid method for the detection and quantification of the adulteration of milk powder by the addition of whey was assessed by measuring glycomacropeptide protein using mid-infrared spectroscopy (MIR). Fluid milk samples were dried and then spiked with different concentrations of GMP and whey. Calibration models were developed using multivariate techniques, from spectral data. For the principal component analysis and discriminant analysis, excellent percentages of correct classification were achieved in accordance with the increase in the proportion of whey samples. For partial least squares regression analysis, the correlation coefficient (r) and root mean square error of prediction (RMSEP) in the best model were 0.9885 and 1.17, respectively. The rapid analysis, low cost monitoring and high throughput number of samples tested per unit time indicate that MIR spectroscopy may hold potential as a rapid and reliable method for detecting milk powder frauds using cheese whey.

摘要

通过使用中红外光谱(MIR)测量糖巨肽蛋白,评估了一种快速检测和定量奶粉中添加乳清进行掺假的方法。将液态奶样品干燥,然后添加不同浓度的糖巨肽(GMP)和乳清。利用多变量技术从光谱数据建立校准模型。对于主成分分析和判别分析,随着乳清样品比例的增加,正确分类的百分比很高。对于偏最小二乘回归分析,最佳模型中的相关系数(r)和预测均方根误差(RMSEP)分别为0.9885和1.17。快速分析、低成本监测以及每单位时间可测试的高通量样品数量表明,中红外光谱法可能具有作为一种快速可靠的方法来检测使用奶酪乳清进行奶粉欺诈的潜力。

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