QSPR Model for Dispersibility of Graphene in Various Solvents

Title:QSPR Model for Dispersibility of Graphene in Various Solvents

Volume: 13 Issue: 6

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

Affiliation:

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

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.

Cite this article as:

P. Toropova Alla and A. Toropov Andrey, QSPR Model for Dispersibility of Graphene in Various Solvents, Letters in Drug Design & Discovery 2016; 13 (6) . https://dx.doi.org/10.2174/1570180812666151022221942