课题基金 / 基金详情

Molecular Analysis of Surface Functionalization of Nanomaterials

Molecular Analysis of Surface Functionalization of Nanomaterials
纳米材料表面功能化的分子分析
批准号:
104968
负责人:
金额:
$3.16万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Each year more than 800'000 people in the UK see their GP for suspected influenza infection and 20-30'000 hospital people are admitted to hospitals. Hospitals face the daily risk that incoming patients (100,000 in the Emergency Room 2017 in Addenbrooke's Hospital in Cambridge) will lead to Influenza outbreaks in the hospital. Indeed, there were more 700 confirmed influenza cases last year at Addenbrooke's hospital, and three ward closures due to Influenza outbreaks.To prevent outbreaks, patients must be tested for influenza before antiviral treatment is initiated. Unfortunately, this testing process can take several hours, resulting in delayed diagnosis and treatment. The current established and trusted "gold standard" method of testing for influenza in hospitals can take up to 12 hours. A delay of half a day is highly costly to the patient and hospital: patients must wait longer to be seen by the correct department, wards become congested with patients waiting for test results and the risk of viral outbreaks increases as potential carriers of the virus wait for results. Clinicians have expressed a need for rapid detection influenza tests that can be carried out by non-medically trained personal in the Emergency Room. A selection of currently existing rapid diagnostic tests (RDTs) has been tried. The sensitivity of most have been shown to be insufficient, thus often resulting in false negatives.There is an urgent need for a novel rapid diagnostic test for influenza virus that can be used in hospital emergency rooms. At HexagonFab, a biosensor has been developed and built from novel nanomaterials, which will bring the sensitivity of laboratory based tests to the emergency room. The technology gains its outstanding sensitivity through the unique surface of the nanomaterial, which is the core sensing element. In order to optimise the sensor, it is necessary to gain a deep understanding of how the nanomaterial interacts with its environment and how it can be tailored to be even more sensitive and specific. The InnovateUK A4I project brings the unique expertise of leading research organisations in the UK to investigate the surface of the nanomaterial and how the sensor can be optimised to achieve the sensitivity of current laboratory-based tests, while allowing use at the patient in the emergency room.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Intelligent Patent Analysis for Optimized Technology Stack Selection:Blockchain BusinessRegistry Case Demonstration
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    USHARANI HAREESH GOVINDARA JAN
  • 依托单位:
基于Meta-analysis的新疆棉花灌水增产模型研究
  • 批准号:
    41601604
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    22.0万元
  • 批准年份:
    2016
  • 负责人:
    赵爱琴
  • 依托单位:
大规模微阵列数据组的meta-analysis方法研究
  • 批准号:
    31100958
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2011
  • 负责人:
    赵洪雅
  • 依托单位: