Novel point of care test technology development: Initial focus - differentiating between bacterial and viral infections to
Novel point of care test technology development: Initial focus - differentiating between bacterial and viral infections to
批准号:
10027904
负责人:
金额:
$69.97万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --
中文摘要
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英文摘要
This project brings together a UK SME, Paragraf Ltd., the University of Manchester NIHR Biomedical Research Centre, the University of Liverpool Institute of Infection and the University of Newcastle NHS trust to develop and test novel in-vitro diagnostic electronic devices made from graphene. Paragraf has developed a unique and groundbreaking production method for graphene which, for the first time, allows graphene to be synthesised cos-effectively in large areas, suitable for electronic devices.Research on graphene biosensors has repeatedly demonstrated highly sensitive and rapid detection of antigens, antibodies, enzymes and DNA without amplification. It offers the unique ability to combine the technically segregated immunological and molecular IVD test markets, valued at \>$40 billion, and address them with a single, rapid, accurate and compact technology. This creates a substantial commercial opportunity.By way of showing graphene's potential, researchers have demonstrated SARS-CoV-2 detection in 30 seconds, comparable to resolution of the best commercial instrument that takes 45 minutes. Despite substantive graphene biosensor research, no graphene diagnostic products are commercially available. This is largely due to the lack of reproducible, cost-effective graphene manufacturing process. Paragraf is the only company to have developed scalable methods to manufacture high-quality graphene.The next step is to demonstrate the clinical validity of the technology in healthcare settings and to optimise the device designs based on interview feedback from clinicians and patients, and care pathway analysis.
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国内基金
海外基金
单片三维相变存储器高速高可靠读取技术研究
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批准号:61904186
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项目类别:青年科学基金项目
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资助金额:26.0万元
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批准年份:2019
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负责人:雷宇
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依托单位:
解大型非对称鞍点(Saddle Point) 问题的有效算法的研究
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批准号:60573157
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项目类别:面上项目
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资助金额:20.0万元
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批准年份:2005
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负责人:赵金熙
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依托单位: