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Raman Spectroscopy as a Rapid Tool for Quantitative Analysis of Butter Adulterated with Margarine

机译:拉曼光谱法作为定量分析掺入人造黄油的黄油的快速工具

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Butter adulteration with margarine continues to be a threat for consumers; therefore, new rapid analytical tools are needed for quality control/quality assurance purposes. In this study, we used Raman spectroscopy coupled with partial least squares regression to quantify butter adulteration with margarine. The main difference between Raman spectra of butter and margarine comes from two bands associated to C=C double bond (1656 and 1268 cm(-1)) and the band associated to phospholipids' choline group (973 cm(-1)). The intensity of these peaks decreases with a decreasing margarine content. The coefficient of determination (R (2) = 0.994) and root-mean-square error of prediction (RMSEP = 2.754) display very good overall model performance. The sample preparation procedure that we employed was notably simplified compared to previous studies. This confirms that Raman spectroscopy can be effectively applied to quantify butter adulteration with margarine and further indicates that simplification of the analysis procedure is possible. These results could aid the efforts for implementation of this technique in routine rapid quality analysis of butter.
机译:人造黄油在黄油中的掺假继续对消费者构成威胁。因此,需要新的快速分析工具来进行质量控制/质量保证。在这项研究中,我们使用拉曼光谱结合偏最小二乘回归来定量人造黄油对黄油的掺假。黄油和人造黄油的拉曼光谱之间的主要区别来自与C = C双键相关的两个谱带(1656和1268 cm(-1))和与磷脂的胆碱基团相关的谱带(973 cm(-1))。这些峰的强度随着人造黄油含量的降低而降低。确定系数(R(2)= 0.994)和预测的均方根误差(RMSEP = 2.754)显示了非常好的整体模型性能。与以前的研究相比,我们采用的样品制备程序明显简化了。这证实了拉曼光谱法可以有效地用于定量人造黄油与黄油的掺假,并进一步表明简化分析程序是可能的。这些结果可以帮助在黄油的常规快速质量分析中实施该技术。

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