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Collaborative Research: A Microfluidic-CMOS Cross-cut Approach enabling Tri-Modal Biorecognition for Highly Accurate Viral Diagnostics

Collaborative Research: A Microfluidic-CMOS Cross-cut Approach enabling Tri-Modal Biorecognition for Highly Accurate Viral Diagnostics
合作研究:一种微流控-CMOS 横切方法,可实现三模态生物识别,实现高精度病毒诊断
批准号:
1711165
负责人:
Mehdi Javanmard
金额:
$22.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-07-15 至 2022-06-30

项目摘要

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中文摘要
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英文摘要
This project seeks to develop a finger-stick sized instrument whose purpose is to rapidly diagnose viral infections in blood. The proposed point-of-use device can be utilized for rapidly screening subjects at airports, emergency rooms, or other crowded environments where the potential to spread viral disease is high. Point-of-use diagnosis of viral pathogens plays a critical role in response efforts to outbreaks, but is notoriously unreliable with a single mode of bio-molecular diagnostics due to patient-patient heterogeneity and variation of the biomarkers in the body fluid with time of infection. In this work, a microfluidics-CMOS-bio-chemistry crosscut approach is proposed to enable portable, compact point-of-use hybrid device technology that enables multi-modal detection capability including antibody detection, viral protein detection as well as viral load quantification in a single sample-to-answer platform. The proposed tri-modal diagnostic platform will enable diagnosis with minimal false-negatives, critically important for diagnosis. The crosscut approach towards this project will engage and train both graduate and undergraduate students across multiple disciplines. The PIs will also engage high-school seniors from local schools and broadly disseminate the knowledge through their proposed courses (undergraduate and graduate) and through publications, seminars and workshops. The proposed innovation is based on miniaturization of sample, reagent, and buffer handling in microfluidics using low power electronically actuated micro-valves, reconfigurable electroosmotic pumps, and multiplexed detection of fluorescence-labeled proteins and nucleic acids in silicon ICS with integrated nanoplasmonic filters that remove the necessity of complex optical scanners, lenses, collimators. The platform is envisioned to be generic and reconfigurable and the pre-functionalized cartridges can be swapped out for different infectious diseases. Specifically, the proposed research aims to investigate and develop multi-modal detection capability through electronically actuated fluidic valves and pumps enabling on-chip immunoassays for protein detection and on-chip nucleic acid purification, amplification, and hybridization for viral load determination as well as light guiding, packaging and additive manufacturing techniques for enabling a sample-to-answer platform.
期刊论文(9)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.sna.2019.06.037
发表时间: 2019-09
期刊: Sensors and Actuators A: Physical
影响因子: --
作者: [Azam Gholizadeh;S. Abbaslou;Pengfei Xie;A. Knaian;M. Javanmard]
通讯作者: Azam Gholizadeh;S. Abbaslou;Pengfei Xie;A. Knaian;M. Javanmard
DOI: 10.1038/s41598-020-57540-7
发表时间: 2020-02-20
期刊: SCIENTIFIC REPORTS
影响因子: 4.6
作者: [Lin, Zhongtian, Lin, Siang-Yo, Javanmard, Mehdi]
通讯作者: Javanmard, Mehdi
2D Magnetic Sensor Array for Real-time Cell Tracking and Multi-site Detection with Increased Robustness and Flow-rate
用于实时细胞跟踪和多站点检测的 2D 磁性传感器阵列,具有更高的鲁棒性和流速
DOI: 10.1109/cicc.2019.8780363
发表时间: 2019
期刊: IEEE Custom Integrated Circuits Conference (CICC
影响因子: --
作者: [Tang H, Venkatesh S]
通讯作者: Tang H, Venkatesh S
DOI: 10.1109/jsen.2020.3034892
发表时间: 2020-10
期刊: IEEE Sensors Journal
影响因子: 4.3
作者: [M. Tayyab;M. Sami;H. Raji;Srinivas Mushnoori;M. Javanmard]
通讯作者: M. Tayyab;M. Sami;H. Raji;Srinivas Mushnoori;M. Javanmard
CAREER: Reconfigurable Electro-Fluidic Prescriptions (REFRx): Data-Driven Biosensors for Detection and Treatment of Multidrug-Resistant Cancers
  • 批准号:
    1846740
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2019
  • 负责人:
    Mehdi Javanmard
  • 依托单位:
IDBR: TYPE A- The ThruProt Analyzer: Bringing Proteomics to the Field Using a Sample-to-Answer Electronic Multiplexed Platform
  • 批准号:
    1556253
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $34.49万
  • 财政年份:
    2016
  • 负责人:
    Mehdi Javanmard
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)