Iqmal Tahir(1*), Karna Wijaya(2), M Utoro Yahya(3), Muzakky Yapin(4)

(1) Austrian-Indonesian Centre for Computational Chemistry, Gadjah Mada University, Yogyakarta
(2) Austrian-Indonesian Centre for Computational Chemistry, Gadjah Mada University, Yogyakarta
(3) Austrian-Indonesian Centre for Computational Chemistry, Gadjah Mada University, Yogyakarta
(4) Akademi Perawatan Darul ‘Ulum, Jombang
(*) Corresponding Author


Quantitative  Structure - Property  Relationships (QSPR) analysis of the Melting Point (m.p) of 349 organic compounds using molecular descriptors based on linear regression have been done. The experiment m.p. values were collected from the CRC Hand Book of Chemistry and Physic 81th [1]. Molecular description of each compound was described in the form of the number of atoms and number of chemical bonding. This study was made in the form of normal melting point (in Kelvin unit) as the linear function of all molecular descriptor. The best equation model was determined by regression multilinear analysis and the result showed that the melting point is linearly correlated  with:   n(Csek alf), n(Cter alf), n(Csek sik), n(Cter sik), n(Csek arm), n(Cter arm), n(O), n(N), n(F), n(Cl), n(C-C sik), n(C=C arm), n(C1=C2), n(C2=C3), n(C-O), n(C-Br), n(C-I), n(N-H), n(Z), n(ortho), n(meta), n(para), (BM), n(C-H)2, n(H x BM) and n(Cprim x BM). The QSPR equation is significant at 95 % level and has statistical parameters: n = 349, r = 0.943, SD = 24.336 and Fexp = 99.326,  respectively.


QSPR; melting point

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DOI: https://doi.org/10.22146/ijc.21918

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Indonesian Journal of Chemistry (ISSN 1411-9420 / 2460-1578) - Chemistry Department, Universitas Gadjah Mada, Indonesia.

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