摘要
Fukui函数、局域软度、广义Fukui函数以及广义软度通常被称为反应描述符。使用它们研究和探讨了HCl与不对称烯烃以及溴苯硒与不对称苯乙烯的亲电加成反应的区位选择性。在MP2/6-311++G(d,p)理论水平下,采用有限差分方法计算这些反应描述符,同时也使用ABEEMσπ方法进行了计算。ABEEMσπ模型下的局域软度和广义局域软度,分别结合局域硬-软酸碱(HSAB)原理,得出亲电试剂氯化氢与溴苯硒,更容易进攻不对称乙烯和苯乙烯中的马氏碳原子,符合马氏规则。而有限差分方法不能完全地解释该系列反应的区位选择性。此外,主要产物所对应的马氏碳原子的广义局域软度值,就能够预测出此类反应的活性序列,所得结果与速率常数有很好的关联。
Regioselectivities of electrophilic addition reactions of hydrogen chloride to asymmetric alkenes and benzeneselenenyl bromide to substituted styrenes have been investigated by using reactivity descriptors, including Fukui function f(r), local softness s(r), generalized Fukui function fG(r), and generalized local softness SG(r). All of them are obtained from the finite difference approximation method calculated by ab initio method at MP2/6-311++G(d,p) level of theory and our ABEEMarr model, respectively. According to the generalized version of the local hard-soft and acid-base (HSAB) principle, the forecasted regioselectivities of our investigated additions using the ABEEMσπ model are in fair agreement with the experimental values. In particular, we can also rationalize their reaction rate constants by the generalized local softness, i.e., the softest the site is, the easiest the reaction is. Hence, the generalized reactivity descriptors work quite well.
作者
朱尊伟
杨巧凤
徐珍珍
赵东霞
樊红军
杨忠志
ZHU Zunwei;YANG Qiaofeng;XU Zhenzhen;ZHAO Dongxia;FAN Hongjun;YANG Zhongzhi(School of Chemistry and Chemical Engineering, Liaoning Normal University, Dalian 116029, Liaoning Province, P. R. China;Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, Liaoning Province, P. R. China)
出处
《物理化学学报》
SCIE
CAS
CSCD
北大核心
2018年第5期519-527,共9页
Acta Physico-Chimica Sinica
基金
supported by the National Natural Science Foundation of China(21483083,21133005)
the Natural Science Foundation of Liaoning Province,China(2014020150)~~
关键词
Fukui函数
局域软度
局域硬-软酸碱原理
亲点加成反应
有限差分近似
ABEEMΣΠ模型
Fukui function
Local softness
Local hard-soft and acids-bases (HSAB) principle
Electrophilic addition reactions
Finite difference approximation
ABEEMσπ model