Pompe Matevz, Veber Marjan, Randić Milan, Balaban Alexandru T
Faculty of Chemistry and Chemical Technology, University of Ljubljana, Askerceva 5, 1000 Ljubljana, Slovenia.
Molecules. 2004 Dec 31;9(12):1160-76. doi: 10.3390/91201160.
Volatile organic compounds (VOCs) play an important role in different photochemical processes in the troposphere. In order to predict their impact on ozone formation processes a detailed knowledge about their abundance in the atmosphere as well as their reaction rate constants is required. The QSPR models were developed for the prediction of reaction rate constants of volatile unsaturated hydrocarbons. The chemical structure was encoded by constitutional and topological indices. Multiple linear regression models using CODESSA software was developed with the RMS(CV) error of 0.119 log units. The chemical structure was encoded by six topological indices. Additionally, a regression model using a variable connectivity index was developed. It provided worse cross-validation results with an RMS(CV) error of 0.16 log units, but enabled a structural interpretation of the obtained model. We differentiated between three classes of carbon atoms: sp2-hybridized, non-allylic sp3-hybridized and allylic sp3-hybridized. The structural interpretation of the developed model shows that most probably the most important mechanisms are the addition to multiple bonds and the hydrogen atom abstraction at allylic sites.
挥发性有机化合物(VOCs)在对流层的不同光化学过程中起着重要作用。为了预测它们对臭氧形成过程的影响,需要详细了解它们在大气中的丰度以及它们的反应速率常数。开发了QSPR模型来预测挥发性不饱和烃的反应速率常数。化学结构由组成和拓扑指数编码。使用CODESSA软件开发了多元线性回归模型,其RMS(CV)误差为0.119对数单位。化学结构由六个拓扑指数编码。此外,还开发了一个使用可变连接性指数的回归模型。它提供了更差的交叉验证结果,RMS(CV)误差为0.16对数单位,但能够对所得模型进行结构解释。我们区分了三类碳原子:sp2杂化、非烯丙基sp3杂化和烯丙基sp3杂化。所开发模型的结构解释表明,最可能最重要的机制是对多重键的加成和烯丙基位点的氢原子提取。