摘要
提出了用近红外光谱法测定木薯燃料酒精中乙醇和水分含量,以确定木薯燃料酒精的品质。结合修正偏最小二乘法建立了样品与其近红外光谱之间的定标模型。结果表明:乙醇定标模型交叉验证均方差和相关系数分别是0.110 2,0.960 5;水分定标模型分别是0.014 3,0.975 9。近红外光谱法预测值与化学分析法的测定值一致,该模型具有很高的预测准确性,可应用于木薯酒精品质分析的快速检测。
A method of NIRS for the determination of contents of alcohol and moisture in tuel alcohol made from cassava was proposed, in order to determine the quality of the fuel alcohol. Based on the spectral data of samples and by the application of revised partiai least square method, the calibration models relating the contents of alcohol and moisture to the respective NIR spectra were established. It was found that the results obtained by the present method were in consistency with those obtained by chemical method. The following parameters were obtained： values of square errors of Cross-Validation and correlation coefficient of the calibration model were 0. 110 2 and 0. 960 5 for alcohol, 0. 014 3 and 0. 975 9 for moisture.
出处
《理化检验（化学分册）》
CAS
CSCD
北大核心
2013年第5期512-515,共4页
Physical Testing and Chemical Analysis(Part B:Chemical Analysis)
基金
广西科学基金桂科青(0991044)
