作者: Heitor L. Fernandes , Ivo M. Raimundo Jr , Celio Pasquini , Jarbas J.R. Rohwedder
DOI: 10.1016/J.TALANTA.2007.12.025
关键词: Alcohol 、 Ethanol 、 Spectroscopy 、 Partial least squares regression 、 Gasoline 、 Xylene 、 Toluene 、 Methanol 、 Chemistry 、 Analytical chemistry
摘要: Abstract Near infrared (NIR) spectroscopy was employed for simultaneous determination of methanol and ethanol contents in gasoline. Spectra were collected the range from 714 to 2500 nm used construct quantitative models based on partial least squares (PLS) regression. Samples prepared laboratory PLS regression developed using spectral 1105 1682 nm, showing a root mean square error prediction (RMSEP) 0.28% (v/v) both PLS-1 PLS-2 0.31 0.32% models, respectively. A RMSEP 0.83% obtained commercial samples. The effect gasoline composition investigated, it being verified that some solvents, such as toluene o -xylene, interfere content prediction, while isooctane, m -xylene p prediction. Other ranges investigated 1449–1611 nm showed best results.