Optimization of chemiluminescent sensing microstructures

化学发光传感微结构的优化

基本信息

  • 批准号:
    533332-2018
  • 负责人:
  • 金额:
    $ 1.82万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Engage Grants Program
  • 财政年份:
    2018
  • 资助国家:
    加拿大
  • 起止时间:
    2018-01-01 至 2019-12-31
  • 项目状态:
    已结题

项目摘要

Angle Biosciences is an international company based in Toronto, Ontario that focuses on distributing liquid biopsy**technology through a variety of sensing platforms. Among their sensing products is a unique, patented technology**that allows researchers to identify markers in their samples in a compact, tabletop workstation known as the**Ziplex system. The technology uses an array of microscopic channels capable of binding target molecules as a**sample flows through them. Chemiluminescence (luminol) then releases light which is observed using a camera to**quickly and clearly indicate the positive result to the researcher. This system allows Angle to offer a sensing**workstation that delivers results faster than competitive technology with simple fluid handling. However, the**micropore silicon sensing element used in this system could be significantly improved through optimization of the**pore geometry. Increasing the light output of the sensing elements would result in a lower detection limit giving a**significant advantage to the device.**Professor John Sipe is an expert in optics and light-matter interactions with a wealth of experience in developing**simple models to guide the solution of complicated problems. The goal of this project will be to study the effects**of varying the geometry of the Ziplex system to optimize the system design and strengthen the output signal.**This will be accomplished by utilizing an analytic model to explore potential solutions before more robust**simulations are utilized to complete the optimization.
Angle Biosciences是一家总部位于安大略多伦多的国际公司,专注于通过各种传感平台分销液体活检 ** 技术。在他们的传感产品中,有一项独特的专利技术 **,使研究人员能够在一个紧凑的桌面工作站(称为 **Ziplex系统)中识别样品中的标记。该技术使用一系列微观通道,当样本流过这些通道时,这些通道能够结合目标分子。化学发光(鲁米诺)然后释放光,使用照相机观察,以快速清晰地向研究人员指示阳性结果。该系统允许角度提供一个传感 ** 工作站,提供结果比竞争技术更快,简单的流体处理。然而,在该系统中使用的单晶硅传感元件可以通过优化 ** 孔的几何形状而得到显著改善。增加传感元件的光输出将导致较低的检测限,从而为设备提供 ** 显著的优势。John Sipe教授是光学和光物质相互作用方面的专家,在开发简单模型以指导复杂问题的解决方面拥有丰富的经验。本项目的目标是研究Ziplex系统几何形状变化的影响,以优化系统设计并增强输出信号。这将通过利用分析模型来探索潜在的解决方案,然后再利用更强大的 ** 模拟来完成优化。

项目成果

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Sipe, John其他文献

Sipe, John的其他文献

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{{ truncateString('Sipe, John', 18)}}的其他基金

Quantum dynamics: Light and matter
量子动力学:光与物质
  • 批准号:
    RGPIN-2019-04170
  • 财政年份:
    2022
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Quantum dynamics: Light and matter
量子动力学:光与物质
  • 批准号:
    RGPIN-2019-04170
  • 财政年份:
    2021
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Quantum dynamics: Light and matter
量子动力学:光与物质
  • 批准号:
    RGPIN-2019-04170
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Quantum dynamics: Light and matter
量子动力学:光与物质
  • 批准号:
    RGPIN-2019-04170
  • 财政年份:
    2019
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Theoretical research in nonlinear and quantum optics
非线性与量子光学理论研究
  • 批准号:
    RGPIN-2014-05126
  • 财政年份:
    2018
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Theoretical research in nonlinear and quantum optics
非线性与量子光学理论研究
  • 批准号:
    RGPIN-2014-05126
  • 财政年份:
    2017
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Optimizing light sources for optical quantum computing applications
优化光量子计算应用的光源
  • 批准号:
    521286-2017
  • 财政年份:
    2017
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Engage Grants Program
Theoretical research in nonlinear and quantum optics
非线性与量子光学理论研究
  • 批准号:
    RGPIN-2014-05126
  • 财政年份:
    2016
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Theoretical research in nonlinear and quantum optics
非线性与量子光学理论研究
  • 批准号:
    RGPIN-2014-05126
  • 财政年份:
    2015
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Theoretical research in nonlinear and quantum optics
非线性与量子光学理论研究
  • 批准号:
    RGPIN-2014-05126
  • 财政年份:
    2014
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual

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