Literature DB >> 28415501

Fabrication of new magnetite-graphene nanocomposite and comparison of its laser-hyperthermia properties with conventionally prepared magnetite-graphene hybrid.

Ahmad Tayyebi1, Shahab Moradi2, Fatemeh Azizi1, Mohammad Outokesh3, Kamran Shadanfar4, Seyed Sadjad Mousavi1.   

Abstract

A single step supercritical method was introduced for synthesis of "magnetite - reduced graphene oxide (M-rGO)" composite in supercritical methanol. Modified surface, smaller size, lesser cytotoxicity, and homogenous dispersion of Fe3O4 nanoparticles on the graphene surface were advantages of this new M-rGO composite in comparison to the materials synthesized by conventional wet chemical method (M-GO). Nanocomposites were injected in tissue equivalent phantoms of agarose gel in 10mg/g dosage, and were irradiated by a 1600mW laser beam at wavelength of 800-810nm. The M-rGO and M-GO were found to be the most and the least efficient samples for increasing the temperature of the phantom. As for mathematical analysis of the heating process, a heat transfer model was developed and solved by the COMSOL Multiphysics software. Results showed an appreciable agreement with the experiments and revealed enhancement in thermal conductivity and light absorption coefficient of tissue by injecting of M-rGO sample. Our findings showed that M-rGO is a promising material for laser hyperthermia, which can deposit adequate heat dose with desirable effect in the tumorous cells in a short period.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Graphene oxide; Laser hyperthermia; Magnetite-graphene; Mathematical model; Supercritical methanol

Mesh:

Substances:

Year:  2017        PMID: 28415501     DOI: 10.1016/j.msec.2017.02.086

Source DB:  PubMed          Journal:  Mater Sci Eng C Mater Biol Appl        ISSN: 0928-4931            Impact factor:   7.328


  1 in total

1.  Heat induction in two-dimensional graphene-Fe3O4 nanohybrids for magnetic hyperthermia applications with artificial neural network modeling.

Authors:  M S Dar; Khush Bakhat Akram; Ayesha Sohail; Fatima Arif; Fatemeh Zabihi; Shengyuan Yang; Shamsa Munir; Meifang Zhu; M Abid; Muhammad Nauman
Journal:  RSC Adv       Date:  2021-06-18       Impact factor: 4.036

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.