Institute of Chemical Technologies and Analytics, Vienna University of Technology, Getreidemarkt 9/164-UPA, 1060 Vienna, Austria.
Neonatal Research Unit, Health Research Institute La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain.
Food Chem. 2018 Jun 30;252:22-27. doi: 10.1016/j.foodchem.2018.01.082. Epub 2018 Jan 12.
Analysis of proteins in bovine milk is usually tackled by time-consuming analytical approaches involving wet-chemical, multi-step sample clean-up procedures. The use of external cavity-quantum cascade laser (EC-QCL) based IR spectroscopy was evaluated as an alternative screening tool for direct and simultaneous quantification of individual proteins (i.e. casein and β-lactoglobulin) and total protein content in commercial bovine milk samples. Mid-IR spectra of protein standard mixtures were used for building partial least squares (PLS) regression models. A sample set comprising different milk types (pasteurized; differently processed extended shelf life, ESL; ultra-high temperature, UHT) was analysed and results were compared to reference methods. Concentration values of the QCL-IR spectroscopy approach obtained within several minutes are in good agreement with reference methods involving multiple sample preparation steps. The potential application as a fast screening method for estimating the heat load applied to liquid milk is demonstrated.
牛乳制品的蛋白质分析通常需要采用耗时的分析方法,涉及湿法化学、多步样品净化程序。本文评估了基于外腔量子级联激光器(EC-QCL)的红外光谱法作为一种替代筛选工具,用于直接和同时定量商业牛乳样品中的个别蛋白质(即酪蛋白和β-乳球蛋白)和总蛋白含量。蛋白质标准混合物的中红外光谱用于建立偏最小二乘(PLS)回归模型。使用不同类型的牛奶(巴氏杀菌奶、不同加工工艺的长货架期奶、超高温奶)分析了一个样本集,并将结果与参考方法进行了比较。在几分钟内获得的 QCL-IR 光谱法的浓度值与涉及多个样品制备步骤的参考方法非常吻合。该方法具有作为估计液态奶受热负荷的快速筛选方法的应用潜力。