Prediction of condensation temperatures of substituted p-xylylene monomers by quantitative structure property relationships (QSPR)‎

Other Title(s)

التنبؤ بدرجات حرارة التكثيف لمونمرات البارا-زايلين المعوضة بواسطة علاقات التركيب الخاصة الكمية QSPR

Author

Radhi, Wisam A.

Source

Maisan Journal of Academic Studies

Issue

Vol. 12, Issue 23 (31 Dec. 2013), pp.47-54, 8 p.

Publisher

University of Misan Faculty of Basic Education

Publication Date

2013-12-31

Country of Publication

Iraq

No. of Pages

8

Main Subjects

Chemistry

Abstract EN

In this work, a linear quantitative structure–property relationship (QSPR) model is presented for the prediction of condensation temperatures of Substituted p- Xylylene Monomers.

The geometries of the studies compounds were optimized first at level (MM+) by molecular mechanism force field theory and then at level (AM1) by semi- empirical theory.

QSPR model includes some molecular properties, regression quality indicates that these descriptors provide valuable information and have significant role in the assessment of the condensation temperatures of Substituted p-Xylylene Monomers.

This model provides good results, when the model depends on four parameters [M.W, T.E, ELEC.E and I.P], with correlation coefficient R2 = 0.961 for 8 p-Xylylene Monomers.

American Psychological Association (APA)

Radhi, Wisam A.. 2013. Prediction of condensation temperatures of substituted p-xylylene monomers by quantitative structure property relationships (QSPR). Maisan Journal of Academic Studies،Vol. 12, no. 23, pp.47-54.
https://search.emarefa.net/detail/BIM-643109

Modern Language Association (MLA)

Radhi, Wisam A.. Prediction of condensation temperatures of substituted p-xylylene monomers by quantitative structure property relationships (QSPR). Maisan Journal of Academic Studies Vol. 12, no. 23 (Dec. 2013), pp.47-54.
https://search.emarefa.net/detail/BIM-643109

American Medical Association (AMA)

Radhi, Wisam A.. Prediction of condensation temperatures of substituted p-xylylene monomers by quantitative structure property relationships (QSPR). Maisan Journal of Academic Studies. 2013. Vol. 12, no. 23, pp.47-54.
https://search.emarefa.net/detail/BIM-643109

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 53-54

Record ID

BIM-643109