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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Graphene is a two-dimensional sp2 hybridized carbon material that has attracted tremendous attention for its stimuli-responsive applications, owing to its high surface area and excellent electrical, optical, thermal, and mechanical properties. The physicochemical properties of graphene can be tuned by surface functionalization. The biomedical field pays special attention to stimuli-responsive materials due to their responsive abilities under different conditions. Stimuli-responsive materials exhibit great potential in changing their behavior upon exposure to external or internal factors, such as pH, light, electric field, magnetic field, and temperature. Graphene-based materials, particularly graphene oxide (GO), have been widely used in stimuli-responsive applications due to their superior biocompatibility compared to other forms of graphene. GO has been commonly utilized in tissue engineering, bioimaging, biosensing, cancer therapy, and drug delivery. GO-based stimuli-responsive platforms for wound healing applications have not yet been fully explored. This review describes the effects of different stimuli-responsive factors, such as pH, light, temperature, and magnetic and electric fields on GO-based materials and their applications. The wound healing applications of GO-based materials is extensively discussed with cancer therapy and drug delivery.

Details

Title
Graphene Oxide-Based Stimuli-Responsive Platforms for Biomedical Applications
Author
Patil, Tejal V 1 ; Patel, Dinesh K 2 ; Sayan Deb Dutta 2   VIAFID ORCID Logo  ; Ganguly, Keya 2 ; Lim, Ki-Taek 1   VIAFID ORCID Logo 

 Department of Biosystems Engineering, Institute of Forest Science, Kangwon National University, Chuncheon 24341, Korea; [email protected] (T.V.P.); [email protected] (D.K.P.); [email protected] (S.D.D.); [email protected] (K.G.); Interdisciplinary Program in Smart Agriculture, Kangwon National University, Chuncheon 24341, Korea 
 Department of Biosystems Engineering, Institute of Forest Science, Kangwon National University, Chuncheon 24341, Korea; [email protected] (T.V.P.); [email protected] (D.K.P.); [email protected] (S.D.D.); [email protected] (K.G.) 
First page
2797
Publication year
2021
Publication date
2021
Publisher
MDPI AG
e-ISSN
14203049
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2530151590
Copyright
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.