Sikandar Aftab , Ganesh Koyyada , Ghazanfar Nazir , Awais Khalid , Mohammed A. Assiri , Najaf Rubab , Jae Hong Kim
{"title":"基于石墨烯的阿尔茨海默病早期检测生物传感平台:进展、机制和未来方向","authors":"Sikandar Aftab , Ganesh Koyyada , Ghazanfar Nazir , Awais Khalid , Mohammed A. Assiri , Najaf Rubab , Jae Hong Kim","doi":"10.1016/j.jece.2025.117836","DOIUrl":null,"url":null,"abstract":"<div><div>Alzheimer's disease (AD), the most prevalent type of neurodegenerative dementia, is becoming a major global health concern because of its progressive nature and the lack of reliable early detection methods. The remarkable electrical, mechanical, and chemical properties of graphene and its derivatives have drawn interest recently as promising materials for biosensing applications. In this review, we highlight the latest developments in graphene-based biosensing platforms designed for the early detection of AD biomarkers, such as tau proteins, amyloid-β (Aβ) peptides, and associated neurotransmitters. The processes that enable graphene to detect these biomarkers with high sensitivity, selectivity, and biocompatibility are investigated. We review functionalization techniques, electrochemical, optical, and field-effect transduction types, and integration with wearable and microfluidic systems. We also discuss future directions for developing trustworthy, point-of-care diagnostic tools and address current issues like sensor stability, validation with real samples, and clinical applicability. The substantial potential of graphene-based biosensors to revolutionize early AD detection and enable prompt treatment is highlighted in this review.</div></div>","PeriodicalId":15759,"journal":{"name":"Journal of Environmental Chemical Engineering","volume":"13 5","pages":"Article 117836"},"PeriodicalIF":7.4000,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Graphene-based biosensing platforms for early detection of Alzheimer's disease: Advances, mechanisms, and future directions\",\"authors\":\"Sikandar Aftab , Ganesh Koyyada , Ghazanfar Nazir , Awais Khalid , Mohammed A. Assiri , Najaf Rubab , Jae Hong Kim\",\"doi\":\"10.1016/j.jece.2025.117836\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Alzheimer's disease (AD), the most prevalent type of neurodegenerative dementia, is becoming a major global health concern because of its progressive nature and the lack of reliable early detection methods. The remarkable electrical, mechanical, and chemical properties of graphene and its derivatives have drawn interest recently as promising materials for biosensing applications. In this review, we highlight the latest developments in graphene-based biosensing platforms designed for the early detection of AD biomarkers, such as tau proteins, amyloid-β (Aβ) peptides, and associated neurotransmitters. The processes that enable graphene to detect these biomarkers with high sensitivity, selectivity, and biocompatibility are investigated. We review functionalization techniques, electrochemical, optical, and field-effect transduction types, and integration with wearable and microfluidic systems. We also discuss future directions for developing trustworthy, point-of-care diagnostic tools and address current issues like sensor stability, validation with real samples, and clinical applicability. The substantial potential of graphene-based biosensors to revolutionize early AD detection and enable prompt treatment is highlighted in this review.</div></div>\",\"PeriodicalId\":15759,\"journal\":{\"name\":\"Journal of Environmental Chemical Engineering\",\"volume\":\"13 5\",\"pages\":\"Article 117836\"},\"PeriodicalIF\":7.4000,\"publicationDate\":\"2025-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Environmental Chemical Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2213343725025321\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Environmental Chemical Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213343725025321","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
Graphene-based biosensing platforms for early detection of Alzheimer's disease: Advances, mechanisms, and future directions
Alzheimer's disease (AD), the most prevalent type of neurodegenerative dementia, is becoming a major global health concern because of its progressive nature and the lack of reliable early detection methods. The remarkable electrical, mechanical, and chemical properties of graphene and its derivatives have drawn interest recently as promising materials for biosensing applications. In this review, we highlight the latest developments in graphene-based biosensing platforms designed for the early detection of AD biomarkers, such as tau proteins, amyloid-β (Aβ) peptides, and associated neurotransmitters. The processes that enable graphene to detect these biomarkers with high sensitivity, selectivity, and biocompatibility are investigated. We review functionalization techniques, electrochemical, optical, and field-effect transduction types, and integration with wearable and microfluidic systems. We also discuss future directions for developing trustworthy, point-of-care diagnostic tools and address current issues like sensor stability, validation with real samples, and clinical applicability. The substantial potential of graphene-based biosensors to revolutionize early AD detection and enable prompt treatment is highlighted in this review.
期刊介绍:
The Journal of Environmental Chemical Engineering (JECE) serves as a platform for the dissemination of original and innovative research focusing on the advancement of environmentally-friendly, sustainable technologies. JECE emphasizes the transition towards a carbon-neutral circular economy and a self-sufficient bio-based economy. Topics covered include soil, water, wastewater, and air decontamination; pollution monitoring, prevention, and control; advanced analytics, sensors, impact and risk assessment methodologies in environmental chemical engineering; resource recovery (water, nutrients, materials, energy); industrial ecology; valorization of waste streams; waste management (including e-waste); climate-water-energy-food nexus; novel materials for environmental, chemical, and energy applications; sustainability and environmental safety; water digitalization, water data science, and machine learning; process integration and intensification; recent developments in green chemistry for synthesis, catalysis, and energy; and original research on contaminants of emerging concern, persistent chemicals, and priority substances, including microplastics, nanoplastics, nanomaterials, micropollutants, antimicrobial resistance genes, and emerging pathogens (viruses, bacteria, parasites) of environmental significance.