Cargando…
Heat induction in two-dimensional graphene–Fe(3)O(4) nanohybrids for magnetic hyperthermia applications with artificial neural network modeling
We report the synthesis and characterization of graphene functionalized with iron (Fe(3+)) oxide (G-Fe(3)O(4)) nanohybrids for radio-frequency magnetic hyperthermia application. We adopted the wet chemical procedure, using various contents of Fe(3)O(4) (magnetite) from 0–100% for making two-dimensio...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9034160/ https://www.ncbi.nlm.nih.gov/pubmed/35478795 http://dx.doi.org/10.1039/d1ra03428f |
_version_ | 1784693056369328128 |
---|---|
author | Dar, M. S. Akram, Khush Bakhat Sohail, Ayesha Arif, Fatima Zabihi, Fatemeh Yang, Shengyuan Munir, Shamsa Zhu, Meifang Abid, M. Nauman, Muhammad |
author_facet | Dar, M. S. Akram, Khush Bakhat Sohail, Ayesha Arif, Fatima Zabihi, Fatemeh Yang, Shengyuan Munir, Shamsa Zhu, Meifang Abid, M. Nauman, Muhammad |
author_sort | Dar, M. S. |
collection | PubMed |
description | We report the synthesis and characterization of graphene functionalized with iron (Fe(3+)) oxide (G-Fe(3)O(4)) nanohybrids for radio-frequency magnetic hyperthermia application. We adopted the wet chemical procedure, using various contents of Fe(3)O(4) (magnetite) from 0–100% for making two-dimensional graphene–Fe(3)O(4) nanohybrids. The homogeneous dispersal of Fe(3)O(4) nanoparticles decorated on the graphene surface combined with their biocompatibility and high thermal conductivity make them an excellent material for magnetic hyperthermia. The morphological and magnetic properties of the nanohybrids were studied using scanning electron microscopy (SEM) and a vibrating sample magnetometer (VSM), respectively. The smart magnetic platforms were exposed to an alternating current (AC) magnetic field of 633 kHz and of strength 9.1 mT for studying their hyperthermic performance. The localized antitumor effects were investigated with artificial neural network modeling. A neural net time-series model was developed for the assessment of the best nanohybrid composition to serve the purpose with an accuracy close to 100%. Six Nonlinear Autoregressive with External Input (NARX) models were obtained, one for each of the components. The assessment of the accuracy of the predicted results has been done on the basis of Mean Squared Error (MSE). The highest Mean Squared Error value was obtained for the nanohybrid containing 45% magnetite and 55% graphene (F(45)G(55)) in the training phase i.e., 0.44703, which is where the model achieved optimal results after 71 epochs. The F(45)G(55) nanohybrid was found to be the best for hyperthermia applications in low dosage with the highest specific absorption rate (SAR) and mean squared error values. |
format | Online Article Text |
id | pubmed-9034160 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-90341602022-04-26 Heat induction in two-dimensional graphene–Fe(3)O(4) nanohybrids for magnetic hyperthermia applications with artificial neural network modeling Dar, M. S. Akram, Khush Bakhat Sohail, Ayesha Arif, Fatima Zabihi, Fatemeh Yang, Shengyuan Munir, Shamsa Zhu, Meifang Abid, M. Nauman, Muhammad RSC Adv Chemistry We report the synthesis and characterization of graphene functionalized with iron (Fe(3+)) oxide (G-Fe(3)O(4)) nanohybrids for radio-frequency magnetic hyperthermia application. We adopted the wet chemical procedure, using various contents of Fe(3)O(4) (magnetite) from 0–100% for making two-dimensional graphene–Fe(3)O(4) nanohybrids. The homogeneous dispersal of Fe(3)O(4) nanoparticles decorated on the graphene surface combined with their biocompatibility and high thermal conductivity make them an excellent material for magnetic hyperthermia. The morphological and magnetic properties of the nanohybrids were studied using scanning electron microscopy (SEM) and a vibrating sample magnetometer (VSM), respectively. The smart magnetic platforms were exposed to an alternating current (AC) magnetic field of 633 kHz and of strength 9.1 mT for studying their hyperthermic performance. The localized antitumor effects were investigated with artificial neural network modeling. A neural net time-series model was developed for the assessment of the best nanohybrid composition to serve the purpose with an accuracy close to 100%. Six Nonlinear Autoregressive with External Input (NARX) models were obtained, one for each of the components. The assessment of the accuracy of the predicted results has been done on the basis of Mean Squared Error (MSE). The highest Mean Squared Error value was obtained for the nanohybrid containing 45% magnetite and 55% graphene (F(45)G(55)) in the training phase i.e., 0.44703, which is where the model achieved optimal results after 71 epochs. The F(45)G(55) nanohybrid was found to be the best for hyperthermia applications in low dosage with the highest specific absorption rate (SAR) and mean squared error values. The Royal Society of Chemistry 2021-06-18 /pmc/articles/PMC9034160/ /pubmed/35478795 http://dx.doi.org/10.1039/d1ra03428f Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/ |
spellingShingle | Chemistry Dar, M. S. Akram, Khush Bakhat Sohail, Ayesha Arif, Fatima Zabihi, Fatemeh Yang, Shengyuan Munir, Shamsa Zhu, Meifang Abid, M. Nauman, Muhammad Heat induction in two-dimensional graphene–Fe(3)O(4) nanohybrids for magnetic hyperthermia applications with artificial neural network modeling |
title | Heat induction in two-dimensional graphene–Fe(3)O(4) nanohybrids for magnetic hyperthermia applications with artificial neural network modeling |
title_full | Heat induction in two-dimensional graphene–Fe(3)O(4) nanohybrids for magnetic hyperthermia applications with artificial neural network modeling |
title_fullStr | Heat induction in two-dimensional graphene–Fe(3)O(4) nanohybrids for magnetic hyperthermia applications with artificial neural network modeling |
title_full_unstemmed | Heat induction in two-dimensional graphene–Fe(3)O(4) nanohybrids for magnetic hyperthermia applications with artificial neural network modeling |
title_short | Heat induction in two-dimensional graphene–Fe(3)O(4) nanohybrids for magnetic hyperthermia applications with artificial neural network modeling |
title_sort | heat induction in two-dimensional graphene–fe(3)o(4) nanohybrids for magnetic hyperthermia applications with artificial neural network modeling |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9034160/ https://www.ncbi.nlm.nih.gov/pubmed/35478795 http://dx.doi.org/10.1039/d1ra03428f |
work_keys_str_mv | AT darms heatinductionintwodimensionalgraphenefe3o4nanohybridsformagnetichyperthermiaapplicationswithartificialneuralnetworkmodeling AT akramkhushbakhat heatinductionintwodimensionalgraphenefe3o4nanohybridsformagnetichyperthermiaapplicationswithartificialneuralnetworkmodeling AT sohailayesha heatinductionintwodimensionalgraphenefe3o4nanohybridsformagnetichyperthermiaapplicationswithartificialneuralnetworkmodeling AT ariffatima heatinductionintwodimensionalgraphenefe3o4nanohybridsformagnetichyperthermiaapplicationswithartificialneuralnetworkmodeling AT zabihifatemeh heatinductionintwodimensionalgraphenefe3o4nanohybridsformagnetichyperthermiaapplicationswithartificialneuralnetworkmodeling AT yangshengyuan heatinductionintwodimensionalgraphenefe3o4nanohybridsformagnetichyperthermiaapplicationswithartificialneuralnetworkmodeling AT munirshamsa heatinductionintwodimensionalgraphenefe3o4nanohybridsformagnetichyperthermiaapplicationswithartificialneuralnetworkmodeling AT zhumeifang heatinductionintwodimensionalgraphenefe3o4nanohybridsformagnetichyperthermiaapplicationswithartificialneuralnetworkmodeling AT abidm heatinductionintwodimensionalgraphenefe3o4nanohybridsformagnetichyperthermiaapplicationswithartificialneuralnetworkmodeling AT naumanmuhammad heatinductionintwodimensionalgraphenefe3o4nanohybridsformagnetichyperthermiaapplicationswithartificialneuralnetworkmodeling |