title: [Normalization methods for ethanol Raman spectra quantitative analysis].
abstract: By performing different Raman normalization methods for ethanol quantitative analysis, the authors proposed the method which used the highest band 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 relative 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 concentration 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.
authors.affiliation: Institute of Biomedical Engineering, Jinan University, Guangzhou 510632, China. wuzhengjiemoon@163.com
authors.forename: Zheng-Jie
authors.initials: ZJ
authors.lastname: Wu
authors.forename: Yao-Xiong
authors.initials: YX
authors.lastname: Huang
authors.forename: Cheng
authors.initials: C
authors.lastname: Wang
authors.forename: Shao-Fa
authors.initials: SF
authors.lastname: Li
mesh_terms: D000431:Ethanol; D013059:Spectrum Analysis, Raman; D014920:Wine / Q000032:analysis*
chemical_list: D000431:Ethanol