98%
921
2 minutes
20
Neurodegenerative diseases (NDDs) have become a major challenge in global public health due to neurotoxicity caused by progressive neuronal degeneration and abnormal protein aggregation, which has attracted widespread attention. Graphene-based nanomaterials provide innovative solutions for the early diagnosis and precise treatment of NDDs by virtue of their ultra-high conductivity, large specific surface area and multifunctional properties. In this paper, we systematically discuss the key applications of these materials in the diagnosis and treatment of NDDs, and deeply analyze the technological breakthroughs and clinical translation challenges. The core of this paper is to illustrate that graphene-based nanomaterials are expected to reshape the paradigm of NDDs diagnosis and treatment through cross-scale technological innovations, promoting the synergistic development of early diagnosis, personalized treatment and real-time monitoring, and providing a transformative strategy for overcoming NDDs.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12275944 | PMC |
http://dx.doi.org/10.1016/j.mtbio.2025.102064 | 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.
View Article and Find Full Text PDFRSC Adv
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.
View Article and Find Full Text PDFSci Rep
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.
View Article and Find Full Text PDFSci Rep
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.
View Article and Find Full Text PDFSci Rep
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.
View Article and Find Full Text PDF