Journal
JOURNAL OF MOLECULAR LIQUIDS
Volume 273, Issue -, Pages 346-367Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.molliq.2018.10.047
Keywords
Molecular dynamics simulation; Drug delivery system; Chitosan nanocomposite; Anticancer drug; Fractional free volume; Mean square displacement
Funding
- research office of Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
Ask authors/readers for more resources
The capacity of chitosan (CS) nanocomposite systems containing graphene (G), N-doped graphene (GN) or P-doped graphene (GP) nanoparticles for the delivery of ifosfamide (IF) anticancer drug was examined by means of molecular dynamics (MD) simulations in order to find the most suitable drug delivery system (DDS). Moreover, the effect of temperature on the characteristics of these systems was investigated by running the MD simulations at four temperatures (298.15, 308.15, 318.15 and 328.15 K). The free volume (FV) and fractional free volume (FFV) values were increased by raising the temperature and the greatest FV and FFV were measured for the CS-GN-IF at 328.15 K equal to 11,751.73 angstrom(3) and 40.9112%, respectively. The FV and FFV were changed in the order of CS-GN-IF > CS-GP-IF > CS-G-IF. The inter-chain distances at 328.15 K for the CS-G-IF, CS-GN-IF and CS-GP-IF were 0.9873, 0.8292 and 0.8856 angstrom, respectively, confirming the greatest intermolecular interactions in the CS-GN-IF due to formation of strong as well as weak hydrogen bonds among the polymer chains, GN NPs as well as IF molecules. The mean square displacement (MSD) and diffusion coefficient were enhanced by increasing the temperature. The greatest diffusion coefficient at 328.15 K (0.0693 x 10(-5) cm(2)/s) was achieved for the CS-G-IF, a medium value was measured for the CS-GP-IF (0.0613 x 10(-5) cm(2)/s) and the CS-GN-IF revealed the lowest diffusion coefficient (0.0565 x 10(-5) cm(2)/s) approving the diffusion of drug in the CS-GN-IF was happened in the most controlled manner leading to the most efficient drug delivery. (C) 2018 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available