Novel Point-of-Care Diagnostic Techniques for Dementia

痴呆症的新型护理点诊断技术

基本信息

  • 批准号:
    EP/M006301/1
  • 负责人:
  • 金额:
    $ 129.03万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2015
  • 资助国家:
    英国
  • 起止时间:
    2015 至 无数据
  • 项目状态:
    已结题

项目摘要

The aim of this proposal is to create a new way, using multiplex graphene-based biosensors, for the detection of biomarkers found in biological fluids (e.g. blood, CSF, urine and saliva) in the early stages of dementia (with emphasis on Alzheimer's disease) and changes in levels with disease progression. A generic, Point-of-Care (POC) biosensor technology, based on graphene transducers, has already been developed by one of the project partners and demonstrated for the detection of several disease biomarkers. Unlike existing analytical approaches, the sensor is a rapid diagnostic platform, yielding real-time data and a conclusive test result within minutes of the sample being taken. The idea is to combine this with novel electronic multiplex techniques and large area graphene to create a multiplexed biosensor array technology to enable the detection of multiple biomarkers of dementia simultaneously with the potential to significantly increase throughput.An objective of the project is to demonstrate a novel, low-cost, reliable, POC diagnostic platform, based on multiplex graphene biosensors, for early detection of dementia and following its progression from biological fluid such as blood. The development of a low cost, point-of-care biosensing technology that makes it possible to detect dementia, objectively, in the early stages and to monitor disease progression, rapidly, from a simple blood test would revolutionise diagnosis of dementia and have a huge positive impact on the selection of subjects for clinical trials for new drugs and for monitoring response to treatment.
该提案的目的是创建一种新的方法,使用基于石墨烯的多重生物传感器,用于检测在痴呆症早期阶段(重点是阿尔茨海默病)的生物液体(例如血液,CSF,尿液和唾液)中发现的生物标志物以及随着疾病进展的水平变化。一个项目合作伙伴已经开发了一种基于石墨烯传感器的通用护理点(POC)生物传感器技术,并证明可用于检测多种疾病生物标志物。与现有的分析方法不同,该传感器是一个快速诊断平台,可在采集样品后几分钟内产生实时数据和结论性测试结果。这个想法是联合收割机与新的电子多路复用技术和大面积石墨烯相结合,以创建多路复用生物传感器阵列技术,从而能够同时检测痴呆症的多种生物标志物,并有可能显着提高通量。该项目的一个目标是展示一种新的、低成本、可靠的POC诊断平台,该平台基于多路复用石墨烯生物传感器,用于痴呆的早期检测和从生物流体如血液跟踪其进展。开发低成本的即时生物传感技术,可以在早期阶段客观地检测痴呆症,并通过简单的血液测试快速监测疾病进展,这将彻底改变痴呆症的诊断,并对新药临床试验和监测治疗反应的受试者的选择产生巨大的积极影响。

项目成果

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Complexity Measures for Quantifying Changes in Electroencephalogram in Alzheimer's Disease
  • DOI:
    10.1155/2018/8915079
  • 发表时间:
    2018-01-01
  • 期刊:
  • 影响因子:
    2.3
  • 作者:
    Al-Nuaimi, Ali H. Husseen;Jammeh, Emmanuel;Ifeachor, Emmanuel
  • 通讯作者:
    Ifeachor, Emmanuel
The Application of Graphene and Its Derivatives to Energy Conversion, Storage, and Environmental and Biosensing Devices
  • DOI:
    10.1002/tcr.201500279
  • 发表时间:
    2016-06-01
  • 期刊:
  • 影响因子:
    6.6
  • 作者:
    Tahir, Asif Ali;Ullah, Habib;Sundaram, Senthilarasu
  • 通讯作者:
    Sundaram, Senthilarasu
Robust EEG Based Biomarkers to Detect Alzheimer's Disease.
  • DOI:
    10.3390/brainsci11081026
  • 发表时间:
    2021-07-31
  • 期刊:
  • 影响因子:
    3.3
  • 作者:
    Al-Nuaimi AH;Blūma M;Al-Juboori SS;Eke CS;Jammeh E;Sun L;Ifeachor E
  • 通讯作者:
    Ifeachor E
Transport conductivity of graphene at RF and microwave frequencies
  • DOI:
    10.1088/2053-1583/3/1/015010
  • 发表时间:
    2016-03-01
  • 期刊:
  • 影响因子:
    5.5
  • 作者:
    Awan, S. A.;Lombardo, A.;Ferrari, A. C.
  • 通讯作者:
    Ferrari, A. C.
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Emmanuel Ifeachor其他文献

Machine learning to predict stroke risk from routine hospital data: A systematic review
基于常规医院数据的机器学习预测中风风险:系统综述
  • DOI:
    10.1016/j.ijmedinf.2025.105811
  • 发表时间:
    2025-04-01
  • 期刊:
  • 影响因子:
    4.100
  • 作者:
    William Heseltine-Carp;Megan Courtman;Daniel Browning;Aishwarya Kasabe;Michael Allen;Adam Streeter;Emmanuel Ifeachor;Martin James;Stephen Mullin
  • 通讯作者:
    Stephen Mullin

Emmanuel Ifeachor的其他文献

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