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Nanospectroscopy Using Integrated Ultra-high Quality Factor Microcavities

Nanospectroscopy Using Integrated Ultra-high Quality Factor Microcavities
使用集成超高品质因数微腔的纳米光谱学
批准号:
RGPIN-2015-06515
负责人:
Lu, Tao
金额:
$1.6万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2016
资助国家:
加拿大
项目状态:
已结题
起止时间:
2016-01-01 至 2017-12-31

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英文摘要
The nature of the proposed research is to investigate ultra-high quality factor microcavities integrated on a single silicon photonic chip for spectrally discerning individual nanoparticles and biomolecules, discovering their chemical compositions in high spectral resolution and observing their mutual interactions. The proposed research program will result in the development of lab-on-a-chip nanospectrometers that can be used to interrogate nano-objects and their interactions at individual level, in vitro, of super high spectral resolution and in real time. A whispering gallery microcavity can detect nanoscale objects down to the single molecule resolution. In the proposed research program, we plan to overcome two major challenges that the microcavity sensor community is facing. One is to enable the sensor to distinguish between different types of nanoparticles. The second is to integrate the microcavity sensor and supporting circuits onto a single chip for low-cost and portable applications. To solve the first challenge, we will extend our current research to whispering gallery microcavity based nanospectrometers. We will investigate microcavity enhanced Raman spectroscopy and employ the unique cavity optomechanical oscillation as a novel spectroscopic scheme. Short pulse generated from the microcavity will be used for ultra-fast and transient spectroscopy. To make our sensor portable, research on miniaturizing our device into a single silicon-on-insulator (SOI) chip will be investigated. Numerical tools supporting the research will also be developed. The rapid advancement of nanotechnologies demands devices of sensing, sizing and distinguishing the nanoscale objects. The proposed research targets to fill the needs. The successful completion of the research will be of interest to drug development engineers who are constantly searching for portable devices that can detect and distinguish single protein molecules as well as monitor their interactions with drugs at molecular levels. Physicists, microbiologists, and nanotechnologists will also find this work valuable in observing photon, nanospecimen, and protein interactions at individual particle levels. The anticipated outcomes of the research include the development of an integrated nanosensing and single-molecule nanospectroscopic lab-on-a-chip device. The successful demonstration of the proposed research will advance the related fields towards a new arena of single-molecule classification. This will benefit Canada via enhancing Canadian leadership in the related research and industry sectors, providing training to highly qualified personnel as well as improving societal quality of life.
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Researches on Whispering Gallery Microcavities and Machine Learning
  • 批准号:
    RGPIN-2020-05938
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.84万
  • 财政年份:
    2022
  • 负责人:
    Lu, Tao
  • 依托单位:
Researches on Whispering Gallery Microcavities and Machine Learning
  • 批准号:
    RGPIN-2020-05938
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.84万
  • 财政年份:
    2021
  • 负责人:
    Lu, Tao
  • 依托单位:
Researches on Whispering Gallery Microcavities and Machine Learning
  • 批准号:
    RGPIN-2020-05938
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.84万
  • 财政年份:
    2020
  • 负责人:
    Lu, Tao
  • 依托单位:
Nanospectroscopy Using Integrated Ultra-high Quality Factor Microcavities
  • 批准号:
    RGPIN-2015-06515
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.6万
  • 财政年份:
    2019
  • 负责人:
    Lu, Tao
  • 依托单位:
国内基金
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Capture and Release of Droplets Using Advanced Materials for High Technology Applications
  • 批准号:
    52073127
  • 项目类别:
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  • 资助金额:
    58.0万元
  • 批准年份:
    2020
  • 负责人:
    Alidad Amirfazli
  • 依托单位:
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data