QSPR Model for Dispersibility of Graphene in Various Solvents

Author(s): Alla P. Toropova, Andrey A. Toropov

Journal Name: Letters in Drug Design & Discovery

Volume 13 , Issue 6 , 2016

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Graphical Abstract:


Background: The prediction of physicochemical properties is important task of the natural sciences. Quantitative structure – property relationships (QSPR) are a tool to solve the task.

Objective: QSPR for dispersibility of graphene in various organic solvents has been built up by means of the CORAL software (http://www.insilico.eu/coral).

Method: The Monte Carlo technique is the basis of the models for dispersibility of graphene in various organic solvents. Simplified molecular input-line entry systems (SMILES) are used to represent the molecular structure for the QSPR analysis. In other words, the graphene dispersibility is modeled as a mathematical function of the molecular structure.

Results: The statistical characteristics of the models are quite good. They have the mechanistic interpretation: the structural features of molecules of solvents which are promoters of increase or decrease of graphene dispersibility have been discovered.

Conclusion: The suggested approach can be used to predict dispersibility of graphene in various organic solvents.

Keywords: QSPR, monte carlo method, graphene dispesibility, CORAL software.

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Article Details

Year: 2016
Page: [514 - 520]
Pages: 7
DOI: 10.2174/1570180812666151022221942
Price: $65

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