QSPR Study on Electric Spark Sensitivity of Nitro Arenes

Abstract:

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A quantitative structure-property relationship (QSPR) model was proposed for predicting electric spark sensitivity of 39 nitro arenes. The genetic function approximation (GFA) was employed to select the descriptors that have significant contribution to electric spark sensitivity from various descriptors and for fitting the relationship existed between the selected 8 descriptors and electric spark sensitivity. The correlation coefficients (R2) together with correlation coefficient of the leave-one-out cross validation (Q2CV) of the model are 0.924 and 0.873, respectively. The model is highly statistically significant, and the robustness as well as internal prediction capability of which is satisfactory. The results show that the predicted electric spark sensitivity values are in good agreement with the experimental data.

Info:

Periodical:

Advanced Materials Research (Volumes 284-286)

Main Theme:

Edited by:

Xiaoming Sang, Pengcheng Wang, Liqun Ai, Yungang Li and Jinglong Bu

Pages:

197-200

DOI:

10.4028/www.scientific.net/AMR.284-286.197

Citation:

R. Wang et al., "QSPR Study on Electric Spark Sensitivity of Nitro Arenes", Advanced Materials Research, Vols. 284-286, pp. 197-200, 2011

Online since:

July 2011

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Price:

$35.00

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