RUI: Chronometric Biosensors

RUI:计时生物传感器

基本信息

项目摘要

Early detection and frequent monitoring of infectious disease and chemical threat agents are critical to safeguarding national health and security. Rapid point-of-care (POC) biosensors play a critical role in allowing widespread testing at home and in the field, but current devices are limited in their applications because they are qualitative, not sensitive enough to detect very low concentrations of the analytes of interest, or too expensive to be deployed widely. This project aims to develop a new class of quantitative POC biosensor that uses time as the signal for the assay and has the sensitivity of more sophisticated laboratory-based tests. Time is an ideal signal for a POC biosensor because it can be measured accurately with a simple watch, which will reduce the cost and footprint of the device, and time is not subjective the way color changes can be. The proposed work could lead to a new class of low-cost POC biosensors capable of addressing the urgent need for point-of-care detection of disease markers, environmental contaminants, and security threats. The project will also provide an extraordinary opportunity for undergraduate students at Cal Poly to engage in basic science and engineering research with real-world applications and will encourage this next generation of scientists to pursue careers in STEM fields.The objective of this project is to develop a new class of paper-based chronometric biosensors that will enable quantitative detection of analytes with the simplicity and low cost of lateral-flow immunoassays (LFAs) and the limits of detection of enzyme-linked immunosorbent assays (ELISAs). Most biosensors rely on optical or electrochemical signals, which require sophisticated instrumentation to be measured accurately. The proposed biosensors will use time as the signal for the assay, which can be measured accurately with a simple watch, and could be applied broadly for the quantitative detection of biological analytes in the field. The proposed biosensors will consist of a paper-based channel, a barrier made from a biodegradable polymer that will slow or stop capillary wicking in the channel, and a simple timer for measuring the amount of time it takes for a liquid sample to wick across the polymer barrier. By harnessing the catalytic activity of polymer degrading enzymes (PDEs), the biosensors will be able to achieve the low limits of detection that are characteristic of other enzymatic signal amplification techniques. The project will optimize different polymer-PDE pairs to enable biosensors that are compatible with a wide variety of samples with minimal interferences. By coupling the sensor with a selection step to specifically identify biomarkers of interest, point-of-care diagnostic tests for a wide variety of analytes can be developed. Model analytes for the project will include protein, nucleic acid, and small molecule targets. The technology will help address the urgent and unmet need for quantitative and rapid point-of-care diagnostics that can be adapted rapidly to address emerging threats such as novel infectious agents.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
传染病和化学威胁剂的早期发现和频繁监测对于维护国家健康和安全至关重要。快速护理点 (POC) 生物传感器在家庭和现场广泛测试方面发挥着关键作用,但当前的设备在应用中受到限制,因为它们是定性的,不够灵敏,无法检测极低浓度的分析物。兴趣,或者过于昂贵而无法广泛部署。该项目旨在开发一种新型定量 POC 生物传感器,它使用时间作为检测信号,并具有更复杂的实验室测试的灵敏度。时间是 POC 生物传感器的理想信号,因为可以用简单的手表精确测量时间,这将降低设备的成本和占地面积,而且时间不像颜色变化那样是主观的。拟议的工作可能会产生一种新型低成本 POC 生物传感器,能够满足疾病标记物、环境污染物和安全威胁的即时检测的迫切需求。该项目还将为加州理工学院的本科生提供一个绝佳的机会,让他们参与基础科学和工程研究及其实际应用,并将鼓励下一代科学家在 STEM 领域追求职业生涯。该项目的目标是开发一种新型纸基计时生物传感器,能够利用侧流免疫测定 (LFA) 的简单性和低成本以及酶联免疫吸附测定 (ELISA) 的检测极限来定量检测分析物。大多数生物传感器依赖于光学或电化学信号,这需要复杂的仪器才能准确测量。所提出的生物传感器将使用时间作为测定信号,可以通过简单的手表精确测量时间,并且可以广泛应用于现场生物分析物的定量检测。所提出的生物传感器将由一个纸质通道、一个由可生物降解聚合物制成的屏障组成,该屏障将减慢或阻止通道中的毛细管芯吸作用,以及一个简单的计时器,用于测量液体样品芯吸穿过通道所需的时间。聚合物屏障。通过利用聚合物降解酶(PDE)的催化活性,生物传感器将能够实现其他酶信号放大技术所特有的低检测限。该项目将优化不同的聚合物-PDE 对,以使生物传感器能够与各种样品兼容,干扰最小。通过将传感器与选择步骤相结合以专门识别感兴趣的生物标志物,可以开发针对各种分析物的即时诊断测试。该项目的模型分析物将包括蛋白质、核酸和小分子靶标。该技术将有助于解决对定量和快速护理点诊断的迫切且未得到满足的需求,这些诊断可以快速适应新出现的威胁,例如新型传染性病原体。该奖项反映了 NSF 的法定使命,并通过评估被认为值得支持利用基金会的智力优势和更广泛的影响审查标准。

项目成果

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Andres Martinez其他文献

Growth of Dehalococcoides spp. and increased abundance of reductive dehalogenase genes in anaerobic PCB-contaminated sediment microcosms
Dehalococcoides spp. 的生长。
  • DOI:
    10.1007/s11356-019-05571-7
  • 发表时间:
    2019-06-17
  • 期刊:
  • 影响因子:
    5.8
  • 作者:
    Jessica M. Ewald;S. Humes;Andres Martinez;J. Schnoor;T. Mattes
  • 通讯作者:
    T. Mattes
FINAL REPORT Nanofiber-Enabled , Multi-Target Passive Sampling Device for Determination of the Freely-Dissolved Sediment Pore Water Concentrations of Organic Contaminants SERDP Project ER-2543
最终报告 用于测定自由溶解沉积物孔隙水有机污染物浓度的纳米纤维多目标被动采样装置 SERDP 项目 ER-2543
  • DOI:
  • 发表时间:
    2024-09-14
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Er SERDPProject;Andres Martinez;David M. Cwiertny
  • 通讯作者:
    David M. Cwiertny
Air-water PCB fluxes from southwestern Lake Michigan revisited
重新审视密歇根湖西南部的空气-水 PCB 通量
Cross-country comparability of a social-emotional skills assessment designed for youth in low-resource environments
专为资源匮乏环境中的青年设计的社会情感技能评估的跨国可比性
  • DOI:
    10.1080/15305058.2021.1995867
  • 发表时间:
    2021-10-02
  • 期刊:
  • 影响因子:
    1.7
  • 作者:
    Nina Menezes Cunha;Andres Martinez;Patrick C. Kyllonen;Sarah Gates
  • 通讯作者:
    Sarah Gates
Evaluation of the Obulamu? integrated health communication campaign in Uganda: results from a repeated cross-sectional household survey
对奥布拉姆的评价?
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    H. Burke;E. Okumu;Amos Zikusooka;R. Batamwita;J. Nalukwago;Samuel H. Field;Alissa Bernholc;Andres Martinez;Leonard Bufumbo;Musa Kimbowa;S. Coutinho;N. Mack;Jane Alaii
  • 通讯作者:
    Jane Alaii

Andres Martinez的其他文献

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{{ truncateString('Andres Martinez', 18)}}的其他基金

RUI: Evaporation-driven Capillary Flow in Paper-Based Microfluidic Devices
RUI:纸基微流体装置中蒸发驱动的毛细管流
  • 批准号:
    1605499
  • 财政年份:
    2016
  • 资助金额:
    $ 43.27万
  • 项目类别:
    Continuing Grant

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Heritage Data Analytics: Sustainable strategies for large and complex stratigraphic and chronometric data.
遗产数据分析:大型复杂地层和计时数据的可持续策略。
  • 批准号:
    2114672
  • 财政年份:
    2018
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    $ 43.27万
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    Studentship
Mapping Human Memory with Electrocorticography & Chronometric Stimulation
用皮层电图绘制人类记忆
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    8824066
  • 财政年份:
    2014
  • 资助金额:
    $ 43.27万
  • 项目类别:
Mapping Human Memory with Electrocorticography & Chronometric Stimulation
用皮层电图绘制人类记忆
  • 批准号:
    8934204
  • 财政年份:
    2014
  • 资助金额:
    $ 43.27万
  • 项目类别:
Bayesian Analysis of Chronometric Data
计时数据的贝叶斯分析
  • 批准号:
    0214574
  • 财政年份:
    2002
  • 资助金额:
    $ 43.27万
  • 项目类别:
    Continuing Grant
Synthesis, Structure and Chronometric Validation of SkeletalGrowth Rings in the Black Coral Antipathes Aperta
黑珊瑚 Antipathes Aperta 骨骼生长环的合成、结构和计时验证
  • 批准号:
    8613884
  • 财政年份:
    1987
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    $ 43.27万
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    Continuing grant
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