Application of NIRS to Quality Analysis of Fuel Alcohol Made from Cassava
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。
Abstract
A method of NIRS for the determination of contents of alcohol and moisture in fuel 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 partial 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.
中图分类号 O657.33
所属栏目 试验与研究
基金项目 广西科学基金桂科青(0991044)
收稿日期 2012/3/25
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备注陈秋虹(1974-),女,广西北海人,工程师,主要从事食品、药品、饲料的营养成分和有害残留物的分析检测工作。
引用该论文: CHEN Qiu-hong,MO Jian-guang,HUANG Dao-ping. Application of NIRS to Quality Analysis of Fuel Alcohol Made from Cassava[J]. Physical Testing and Chemical Analysis part B:Chemical Analysis, 2013, 49(5): 512~515
陈秋虹,莫建光,黄岛平. 近红外光谱法用于木薯燃料酒精品质分析[J]. 理化检验-化学分册, 2013, 49(5): 512~515
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参考文献
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