【目的】为了探究驱避机理,此前选择萜类驱避化合物及与DEET（避蚊胺）具有类似结构的酰胺类驱避化合物,开展了驱避化合物与引诱气味组分（L-乳酸、羧酸等）缔合作用对驱避活性影响的研究。为了扩大驱避化合物的类型,本研究选择另外一...【目的】为了探究驱避机理,此前选择萜类驱避化合物及与DEET（避蚊胺）具有类似结构的酰胺类驱避化合物,开展了驱避化合物与引诱气味组分（L-乳酸、羧酸等）缔合作用对驱避活性影响的研究。为了扩大驱避化合物的类型,本研究选择另外一组43个酰胺类驱避化合物,计算了它们与蚊虫引诱物氨之间的双分子缔合作用,以及该缔合作用对驱避活性的影响,从而为驱避机理研究提供帮助。【方法】用Gaussian 03软件优化驱避化合物单体和双分子缔合体的三维结构式;通过Ampac和Codessa软件建立结构与驱避活性之间的定量构效关系模型。【结果】驱避化合物与氨分子的缔合距离、角度和缔合能量分别是2.2-3.0,128-180°和14-25 k J/mol;最佳四参数模型中R2为0.8987,其中2个参数来自驱避化合物单体,分别是（1/6）X GAMMA polarizability（DIP）和ESPminimum net atomic charge for an H atom,另外2个参数来自双分子缔合体,分别是ESP-DPSA-2 difference in CPSAs（PPSA2-PNSA2）[Quantum-Chemical PC]和Minimum valency of a C atom。模型检验中训练集和测试集的相关系数平方的平均值分别为0.9013和0.8666。【结论】驱避化合物与氨分子之间存在弱氢键力缔合作用,驱避化合物分子的极化度及其与氨分子之间的极性相互作用、缔合体中分子间键相互作用及其电荷分布均对驱避活性产生显著影响,说明双分子缔合对驱避活性具有显著影响。模型检验表明最佳四参数模型具有良好的稳定性和预测能力。本研究可为寻找新型蚊虫驱避剂和揭示蚊虫驱避剂的作用机理提供参考。展开更多
The thermal decomposition temperature is one of the most important parameters to evaluate fire hazard of organic peroxide. A quantitative structure-property relationship model was proposed for estimating the thermal d...The thermal decomposition temperature is one of the most important parameters to evaluate fire hazard of organic peroxide. A quantitative structure-property relationship model was proposed for estimating the thermal decomposition temperatures of organic peroxides. The entire set of 38 organic peroxides was at random divided into a training set for model development and a prediction set for external model validation. The novel local molecular descriptors of AT1, AT2, AT3, AT4, AT5, AT6 and global molecular descriptor of ATC have been proposed in order to character organic peroxides’ molecular structures. An accurate quantitative structure-property relationship （QSPR） equation is developed for the thermal decomposition temperatures of organic peroxides. The statistical results showed that the QSPR model was obtained using the multiple linear regression （MLR） method with correlation coefficient （R）, standard deviation （S）, leave-one-out validation correlation coefficient （RCV） values of 0.9795, 6.5676 ℃ and 0.9328, respectively. The average absolute relative deviation （AARD） is only 3.86% for the experimental values. Model test by internal leave-one-out cross validation and external validation and molecular descriptor interpretation were discussed. Comparison with literature results demonstrated that novel local and global descriptors were useful molecular descriptors for predicting the thermal decomposition temperatures of organic peroxides.展开更多
文摘【目的】为了探究驱避机理,此前选择萜类驱避化合物及与DEET（避蚊胺）具有类似结构的酰胺类驱避化合物,开展了驱避化合物与引诱气味组分（L-乳酸、羧酸等）缔合作用对驱避活性影响的研究。为了扩大驱避化合物的类型,本研究选择另外一组43个酰胺类驱避化合物,计算了它们与蚊虫引诱物氨之间的双分子缔合作用,以及该缔合作用对驱避活性的影响,从而为驱避机理研究提供帮助。【方法】用Gaussian 03软件优化驱避化合物单体和双分子缔合体的三维结构式;通过Ampac和Codessa软件建立结构与驱避活性之间的定量构效关系模型。【结果】驱避化合物与氨分子的缔合距离、角度和缔合能量分别是2.2-3.0,128-180°和14-25 k J/mol;最佳四参数模型中R2为0.8987,其中2个参数来自驱避化合物单体,分别是（1/6）X GAMMA polarizability（DIP）和ESPminimum net atomic charge for an H atom,另外2个参数来自双分子缔合体,分别是ESP-DPSA-2 difference in CPSAs（PPSA2-PNSA2）[Quantum-Chemical PC]和Minimum valency of a C atom。模型检验中训练集和测试集的相关系数平方的平均值分别为0.9013和0.8666。【结论】驱避化合物与氨分子之间存在弱氢键力缔合作用,驱避化合物分子的极化度及其与氨分子之间的极性相互作用、缔合体中分子间键相互作用及其电荷分布均对驱避活性产生显著影响,说明双分子缔合对驱避活性具有显著影响。模型检验表明最佳四参数模型具有良好的稳定性和预测能力。本研究可为寻找新型蚊虫驱避剂和揭示蚊虫驱避剂的作用机理提供参考。
基金Project(2015SK20823) supported by Science and Technology Project of Hunan Province,ChinaProject(15A001) supported by Scientific Research Fund of Hunan Provincial Education Department,China+2 种基金Project(2017CL06) supported by Hunan Provincial Key Laboratory of Materials Protection for Electric Power and Transportation,ChinaProject(k1403029-11) supported by Science and Technology Project of Changsha City,ChinaProject(CX2015B372) supported by the Hunan Provincial Innovation Foundation for Postgraduate,China
文摘The thermal decomposition temperature is one of the most important parameters to evaluate fire hazard of organic peroxide. A quantitative structure-property relationship model was proposed for estimating the thermal decomposition temperatures of organic peroxides. The entire set of 38 organic peroxides was at random divided into a training set for model development and a prediction set for external model validation. The novel local molecular descriptors of AT1, AT2, AT3, AT4, AT5, AT6 and global molecular descriptor of ATC have been proposed in order to character organic peroxides’ molecular structures. An accurate quantitative structure-property relationship （QSPR） equation is developed for the thermal decomposition temperatures of organic peroxides. The statistical results showed that the QSPR model was obtained using the multiple linear regression （MLR） method with correlation coefficient （R）, standard deviation （S）, leave-one-out validation correlation coefficient （RCV） values of 0.9795, 6.5676 ℃ and 0.9328, respectively. The average absolute relative deviation （AARD） is only 3.86% for the experimental values. Model test by internal leave-one-out cross validation and external validation and molecular descriptor interpretation were discussed. Comparison with literature results demonstrated that novel local and global descriptors were useful molecular descriptors for predicting the thermal decomposition temperatures of organic peroxides.
