Analysis of biodiesel quality based on infrared spectroscopy and multivariate statistics

被引：0
作者：
Kim, Hyesil [1 ]
Cho, Hyun-Woo [2 ]
Liu, J. Jay [1 ]
机构：
[1] Pukyong Natl Univ, Dept Chem Engn, Busan, South Korea
[2] Daegu Univ, Dept Ind & Management Engn, Gyongsan, South Korea
来源：
ANALYTICAL SCIENCE AND TECHNOLOGY | 2012年 / 25卷 / 04期
关键词：
biodiesel; multivariate calibration; infrared spectroscopy; spectrum pre-processing; Savitzky-Golay method;
D O I：
10.5806/AST.2012.25.4.214
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
ASTM (American Society for Testing and Materials) D6751-10 suggests analytical methods as well as specifications for biodiesel quality. However, it is expensive and time-consuming to follow the ASTM testing methods to analyze biodiesel and various impurities. This paper develops a quantitative analysis system for biodiesel and impurities based on Infrared spectroscopy and a multivariate statistical method, PLS (partial least squares). In addition, four different pre-processing techniques were compared for spectrum correction and noise reduction. Savitzky-Golay pre-processing showed the best performance.
引用
收藏
页码：214 / 222
页数：9
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