多种拉曼光谱归一化法对乙醇定量分析的研究

通过对多种拉曼光谱归一化方法进行乙醇定量分析的探讨，提出使用选取最高浓度下乙醇谱中谱强最高点作为归一化参照的乙醇浓度定量分析方法，其线性相关系数达到0.999，检验样的平均相对误差率仅为0.067 8，组间数据的相对标准偏差为0.046 3，其有效性和准确性均优于内标法和比值法，并具有良好的抗干扰能力。同时，在结合基线校准处理后，不仅能有效消除组间数据差异，而且明显提高了乙醇定量分析的精确性。以此法用于市场白酒样品的乙醇含量检测，可快速简便获得准确的结果，其相对标准偏差小于0.012，具有良好的商业应用前景。

Normalization Methods for Ethanol Raman Spectra Quantitative Analysis

By performing different Raman normalization methods for ethanol quantitative analysis, the authors proposed the method which used the highest hand intensity of the ethanol Raman spectra in the maximum concentration as the normalization metric for ethanol concentration quantitative analysis. By using this method, the correlation coefficient was 0. 999, the mean rel-ative error was only 0. 067 8, and the relative standard deviation (RSD) of the data from different experimental groups was 0. 046 3. Both the validity and accuracy of this method were much better than the internal standard and ratio methods. Combined with baseline correction, the method can not only effectively resist the data fluctuation between different experimental groups, but also improve the accuracy of ethanol quantitative analysis obviously. The test using the method to measure the ethanol con-centration of some wines from market proved that the relative standard deviations were all smaller than 0. 012, indicating that the method is excellent for ethanol concentration quantitative analysis in commercial applications.