Determination of ethanol and specific gravity in gasoline by distillation curves and multivariate analysis
Determination of ethanol and specific gravity in gasoline by distillation curves and multivariate analysis
复制标题
DOI：
10.1016/j.talanta.2009.02.042
复制
发表时间：
2009-06-15
期刊：
影响因子：
6.1
通讯作者：
Barbeira, Paulo J. S.
中科院分区：
文献类型：
--
作者：
Aleme, Helga G.;Costa, Leticia M.;Barbeira, Paulo J. S.
采用偏最小二乘回归方法（PLS），根据蒸馏曲线（ASTM-D86）预测车用汽油中乙醇含量和比重。此外，在选择潜变量的数量后，对所有算法的回归系数进行了比较。与标准方法（NBR-13992、ASTM-D4052和D1298）相比，RMSEC和RMSEP获得的低值与高准确度相关，表明PLS可有效测定汽油中的乙醇含量和比重，因为该模型包含不同汽油成分的样品，从而反映了巴西市场的燃料种类。此外，所提出的方法是低成本，减少时间和易于实施，因为它利用的结果进行的常规分析，以评估汽车燃料的质量。(C)2009 Elsevier B. V.保留所有权利。
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.