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Photodynamic therapy (PDT) is an effective approach for inducing tumor cell death through reactive oxygen species (ROS) generated by light-activated photosensitizers (PSs). Despite its selectivity in tumor treatment, PDT still faces significant challenges in targeting deep-seated tumors due to limitations in tissue penetration and precise localization. Graphene-based nanomaterials, such as graphene oxide (GO), reduced graphene oxide (rGO), graphene quantum dots (GQDs), and graphene nanosheets (GNS), offer innovative solutions by enhancing light penetration, boosting PS activity, and improving tumor-targeting precision. This review highlights how graphene-based nanomaterials address these challenges through functionalization strategies, including receptor-mediated tumor targeting, size-dependent penetration, optical synergy, and hypoxia modulation. Additionally, it explores the synthesis and production challenges associated with these materials. Focusing on four key graphene derivatives-GO, rGO, GQDs, and GNS-this article examines how reaction conditions, catalyst types, and precursor purity influence their structural properties and functional performance in PDT. To facilitate the translation from laboratory research to clinical application, strategies for scaling up production are discussed, emphasizing the need to simplify synthesis processes and improve efficiency for broader biomedical use. This review provides valuable insights into advancing graphene-based nanomaterials for clinical PDT applications, bridging the gap between nanomaterial design and therapeutic precision.
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http://dx.doi.org/10.2147/IJN.S516606 | DOI Listing |
Chem Res Toxicol
September 2025
Department of Physiology, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina 45110, Greece.
Graphene-based nanomaterials have transformed biomedical applications due to their exceptional physicochemical properties, and nitrogen (N)-doping further enhances the electrocatalytic activity of graphene. Driven by the demand for safer and more sustainable nanomaterials, in this work, we compared eco-friendly produced - doped graphene (bD) with conventionally synthesized - doped graphene (cD) in three different cell lines. Across all cell types and assays, cD was more toxic than bD.
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August 2025
Department of Chemistry, Kogi State University P.M.B. 222 Kabba Nigeria
Graphene-based materials (GBMs) have emerged as versatile and efficient candidates for gas adsorption and air pollution mitigation, particularly targeting CO , NO , SO , and volatile organic compounds (VOCs). This review highlights recent advances in the design and fabrication of GBMs, including green synthesis, heteroatom doping, and metal oxide hybridization. Emphasis is placed on emerging fabrication strategies that enhance porosity, surface chemistry, and gas selectivity.
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August 2025
Department of Electrical and Computer Engineering, University of Mohaghegh Ardabili, Ardabil, Iran.
This study presents a biosensor based on cleaved graphene, compared with a graphene-gold nanoparticle structure, for detecting carcinoembryonic antigen (CEA), leveraging graphene's tunable resonance frequency and the structure's polarization-independent performance. This sensor consists of three layers: a gold substrate with a conductivity of 4.7 × 10, a silicon dioxide (SiO) dielectric layer with a permeability of 3.
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August 2025
Smart Micro/Nanoelectromechanical Systems (SMNEMS) Lab, School of Advanced Technologies, PhD Student of Nanomaterials, Iran University of Science and Technology, Tehran, Iran.
Corrosion can severely degrade surfaces and materials, impacting both functionality and safety. Laser-induced graphene (LIG) offers substantial corrosion resistance, making it an ideal material for protecting metals, such as carbon steel. This study developed adhesive, corrosion-resistant LIG patches on polyimide (PI) layers, enhanced with an alkyd resin coating, and applied to pretreated aluminum surfaces.
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August 2025
College of Technical Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran.
The thermophysical properties of novel Graphene/MXene-based fluids have great potential for enhancing the efficiency of solar energy systems. However, optimizing these properties remains challenging due to the complex interactions between nanomaterial composition and system conditions. This study presents a new hybrid framework that combines response surface methodology (RSM), heuristic and metaheuristic optimization, and advanced decision-making techniques to enhance the thermal conductivity (TC) and dynamic viscosity (DV) of these fluids.
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