Determination of octane numbers of gasoline compounds from their chemical structure by 13C NMR spectroscopy and neural networks

被引:56
作者
Meusinger, R
Moros, R
机构
[1] Univ Mainz, Inst Organ Chem, D-55099 Mainz, Germany
[2] Univ Leipzig, Inst Tech Chem, D-04103 Leipzig, Germany
关键词
gasoline; NMR; neural networks;
D O I
10.1016/S0016-2361(00)00125-3
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
A new theoretical model has been developed which explains the association between the molecular structure and the knock resistance of individual gasoline compounds convincingly. The constitutions of more than 300 individual gasoline components were correlated with their knock rating (Blending Research Octane Number, BRON) simultaneously. C-13 NMR spectra of all compounds were binned in 28 chemical shift regions of different size. The number of individual carbon signals of the nearly 2500 carbons was counted in each shift region and was combined with the information about the presence or absence of the structure groups Oxygen, Rings, Aromatics, aliphatic Chains and olefins (ORACL). These numbers were used for the encoding of the chemical structure. The relations between the structure information and the knock ratings were determined using an artificial neural network. For a validation data set of 50 individual chemical compounds from various substance classes consisting only of C, H and O a good agreement was found with their experimentally determined BRON (R = 0.933). (C) 2001 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:613 / 621
页数:9
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