QSPR studies on refractive indices of structurally heterogeneous polymers

Autor: Alla P. Toropova, Daniel E. Bacelo, Pablo R. Duchowicz, Silvina E. Fioressi, Andrey A. Toropov, Laura M. Saavedra
Rok vydání: 2015
Předmět:
Zdroj: Chemometrics and Intelligent Laboratory Systems. 140:86-91
ISSN: 0169-7439
Popis: We developed a predictive Quantitative Structure–Property Relationship (QSPR) for the refractive indices of 234 structurally diverse polymers. The model involves a single molecular descriptor and a conformation-independent approach. The most appropriate polymer structure representation was investigated by considering 1–5 monomeric repeating units. The established equations were validated and tested through various well-known techniques, such as the use of an external test set of compounds, the Cross-Validation method, Y-Randomization and Applicability Domain, and finally a comparison was also performed to published results from the li terature. The developed QSPR could be useful for assisting the development of new polymeric materials. Fil: Duchowicz, Pablo Román. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico la Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina. Universidad Nacional de La Plata; Argentina Fil: Fioressi, Silvina Ethel. Universidad de Belgrano. Facultad de Cs.exactas y Naturales. Departamento de Quimica; Argentina Fil: Bacelo, Daniel Enrique. Universidad de Belgrano. Facultad de Cs.exactas y Naturales. Departamento de Quimica; Argentina Fil: Saavedra Reyes, Laura Marcela. Universidad Nacional de la Plata. Facultad de Ciencias Exactas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico la Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina Fil: Toropova, Alla P.. Irccs-Istituto Di Ricerche Farmacologiche Mario Negri; Italia Fil: Toropov, Andrey A.. Irccs-Istituto Di Ricerche Farmacologiche Mario Negri; Italia
Databáze: OpenAIRE