Determination of ethanol and specific gravity in gasoline by distillation curves and multivariate analysis

被引：27

作者：

Aleme, Helga G. ^{[1
]}

Costa, Leticia M. ^{[2
]}

Barbeira, Paulo J. S. ^{[1
]}

机构：

[1] Univ Fed Minas Gerais, ICEx, Dept Quim, Lab Ensaios Combust, BR-31270901 Belo Horizonte, MG, Brazil

[2] Univ Fed Minas Gerais, ICEx, Dept Quim, Grp Espectrometria Atom & Preparo Amostras, BR-31270901 Belo Horizonte, MG, Brazil

来源：

TALANTA | 2009年 / 78卷 / 4-5期

关键词：

Ethanol; Gasoline; Partial least-squares regression; Distillation curve; Specific gravity; LEAST-SQUARES REGRESSION; FT-RAMAN SPECTROSCOPY; NIR SPECTROSCOPY; VAPOR-PRESSURE; IR SPECTROSCOPIES; PETROLEUM FUELS; OCTANE NUMBERS; NEAR-IR; CALIBRATION; PREDICTION;

D O I：

10.1016/j.talanta.2009.02.042

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

The partial least-squares regression method (PLS) was employed to predict the amount of ethanol and specific gravity in automotive gasoline using distillation curves (ASTM-D86). Additionally, a comparison was made between regression coefficients of all the algorithms, after selecting the number of latent variables. The low values obtained for RMSEC and RMSEP, associated with high accuracy when compared to the standard methodologies (NBR-13992, ASTM-D4052 and D1298) showed that PLS was efficient to determine the ethanol content and specific gravity in gasoline, since the model contains samples of different gasoline compositions, thus reflecting the variety of fuel in the Brazilian market. In addition, the proposed method is low cost, time reducing and easy to implement, as it utilizes the results of a routine assay carried out to evaluate the quality of automotive fuel. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：1422 / 1428

页数：7

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