Recent Advances in Integrating Graphene into Polymeric Nanocomposite Hydrogels for Biomedical Applications

Hydrogels are widely used in biomedical applications because they are biocompatible, respond to external stimuli, and closely mimic the mechanical properties of natural tissues. However, conventional hydrogels often exhibit poor electrical conductivity, low mechanical strength, and limited functionality, hindering their use in advanced biomedical platforms. These challenges can be addressed by integrating 2D graphene and its derivatives into polymer-based nanocomposite hydrogels (CHGs). Graphene-enhanced CHGs offer superior mechanical strength, electrical conductivity, thermal stability, and optical properties, making them ideal for advanced biomedical applications. This review provides a comprehensive analysis of graphene's structural and functional properties and its incorporation into hydrogel matrices for CHG synthesis. It explores recent advancements in graphene-based CHGs for drug delivery, tissue engineering, and photothermal therapy (PTT), highlighting their enhanced performance. Additionally, it examines the emerging role of machine learning (ML) in optimizing CHG properties, such as predictive modeling for wearable sensors in biomedical contexts. By bridging materials science and computational intelligence, this review outlines a roadmap for designing next-generation smart hydrogels, emphasizing their transformative potential in addressing complex healthcare challenges.

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Publication Details

Journal
Macromolecular Bioscience
Published
2026-02-01
DOI
https://doi.org/10.1002/mabi.202500553
Citations
1
Primary Topic
Graphene and Nanomaterials Applications
Type
article
Field-Weighted Citation Impact
21.28
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Recent Advances in Integrating Graphene into Polymeric Nanocomposite Hydrogels for Biomedical Applications

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1 citations
Macromolecular Bioscience
Graphene and Nanomaterials Applications
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article

Recent Advances in Integrating Graphene into Polymeric Nanocomposite Hydrogels for Biomedical Applications

Khaled Chawraba, Shahzaib Akhter, Ujala Zafar, Seong-Jin Park, Abrar Hussain, Syed Kumail Hussain Naqvi, Irum Batool, Khurram Shahzad
article en
1 citations

Abstract

Hydrogels are widely used in biomedical applications because they are biocompatible, respond to external stimuli, and closely mimic the mechanical properties of natural tissues. However, conventional hydrogels often exhibit poor electrical conductivity, low mechanical strength, and limited functionality, hindering their use in advanced biomedical platforms. These challenges can be addressed by integrating 2D graphene and its derivatives into polymer-based nanocomposite hydrogels (CHGs). Graphene-enhanced CHGs offer superior mechanical strength, electrical conductivity, thermal stability, and optical properties, making them ideal for advanced biomedical applications. This review provides a comprehensive analysis of graphene's structural and functional properties and its incorporation into hydrogel matrices for CHG synthesis. It explores recent advancements in graphene-based CHGs for drug delivery, tissue engineering, and photothermal therapy (PTT), highlighting their enhanced performance. Additionally, it examines the emerging role of machine learning (ML) in optimizing CHG properties, such as predictive modeling for wearable sensors in biomedical contexts. By bridging materials science and computational intelligence, this review outlines a roadmap for designing next-generation smart hydrogels, emphasizing their transformative potential in addressing complex healthcare challenges.

Macromolecular BioscienceVol. 26(2)
Centre National de la Recherche Scientifique (FR), Hong Kong Polytechnic University (HK), Korea Atomic Energy Research Institute (KR), University of Sargodha (PK), Tianjin University (CN), Université de Haute-Alsace (FR), Jeonbuk National University (KR), Sungkyunkwan University (KR), Korea University of Science and Technology (KR)
Openalex Percentile: Top 1%
Graphene and Nanomaterials Applications
21.28
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