IDR/Collaborative Research: Magnetic Beads Linked Immunoassay Meets Micro Coulter Counter: Novel Multiplexed Biosensor System for Food Safety

IDR/合作研究:磁珠联动免疫分析与微库尔特计数器的结合:用于食品安全的新型多重生物传感器系统

基本信息

  • 批准号:
    1014779
  • 负责人:
  • 金额:
    $ 10万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2010
  • 资助国家:
    美国
  • 起止时间:
    2010-08-15 至 2014-07-31
  • 项目状态:
    已结题

项目摘要

The research objective of this Interdisciplinary Research (IDR) collaborative project is to research a novel tool/device for rapid, sensitive, and simultaneous detection of major pathogenic bacteria in foods. The approach taken will be magnetic beads-linked immunoassays combined with micro coulter counting technique to achieve simultaneous detection of multiple pathogenic bacteria in foods with high specificity and sensitivity. A number of novel features across bio-, micro-, and sensing technologies are introduced to the proposed system. Specifically this proposal will develop a simple and practical sensor for detecting the most significant food-borne pathogens in the United States (eg. Salmonella, Campylobacter and enterohemorrhagic Escherichia coli O157:H7) in chicken and ground beef. The project's method, once optimized, can potentially be applied for detecting a wide range of other targets such as viruses, toxins, and disease-related biomarkers. If successful, the benefits of this research will include improved food and water safety, which will lead to efficient monitoring and implementation of homeland security, and enhanced public health. In addition, the proposed project offers a truly multidisciplinary training ground for the undergraduate and graduate students involved in the research. The multidisciplinary nature of the research lends itself to dissemination of information in technical as well as non-technical journals and through outreach activities. The award includes year-round undergraduate research projects, utilizing the NSF REU supplement program, UConn's School of Engineering's Da Vinci project (a project geared toward the integration of basic engineering concepts into the post-elementary school classroom), UConn's E2K program to enhance K-12 education, UMass-Lowell's Women in Sciences and Engineering program to uplift the involvement of female minority students, and activities in Homeschoolers Day.
这个跨学科研究(IDR)合作项目的研究目标是研究一种新的工具/设备,用于快速、灵敏和同时检测食品中的主要致病菌。该方法将采用磁珠联免疫分析结合微库尔特计数技术,实现对食品中多种致病菌的同时检测,具有高度的特异性和敏感性。提出的系统引入了许多跨越生物、微型和传感技术的新颖特征。具体地说,这项提议将开发一种简单实用的传感器,用于检测美国最重要的食源性病原体(例如。鸡肉和牛肉中的沙门氏菌、弯曲杆菌和肠出血性大肠杆菌O157:H7)。该项目的方法一旦优化,就有可能被应用于检测广泛的其他目标,如病毒、毒素和与疾病相关的生物标记物。如果成功,这项研究的好处将包括改善食品和水的安全,这将导致对国土安全的有效监测和实施,并增强公共健康。此外,拟议的项目为参与研究的本科生和研究生提供了一个真正的多学科培训场所。这项研究的多学科性质有助于在技术和非技术期刊上以及通过外联活动传播信息。该奖项包括全年的本科生研究项目,利用NSF REU补充计划、康涅狄格州大学工程学院的达芬奇项目(旨在将基本工程概念融入小学后课堂)、康涅狄格州大学旨在加强K-12教育的E2K计划、UMAS-Lowell大学旨在促进少数族裔女性学生参与的女性科学和工程计划,以及在学龄儿童日开展的活动。

项目成果

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Hongwei Sun其他文献

Trimmed LASSO regression estimator for binary response data
二元响应数据的修剪 LASSO 回归估计器
  • DOI:
    10.1016/j.spl.2019.108679
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Hongwei Sun;Yuehua Cui;Q. Gao;Tong Wang
  • 通讯作者:
    Tong Wang
Regularized Least Square Regression with Unbounded and Dependent Sampling
具有无界和相关采样的正则化最小二乘回归
  • DOI:
    10.1155/2013/139318
  • 发表时间:
    2013-04
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Xiaorong Chu;Hongwei Sun
  • 通讯作者:
    Hongwei Sun
The Optimal Solution of Multi-kernel Regularization Learning
多核正则化学习的最优解
span style=font-family: ; times= new= roman?;font-size:12pt;?=Role of F-18 FDG PET/CT imaging in the diagnosis of paraneoplastic neurological syndromes/span
F-18 FDG PET/CT 成像在副肿瘤性神经综合征诊断中的作用
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Lei Kang;Xiaojie Xu;Hongwei Sun;Rongfu Wang
  • 通讯作者:
    Rongfu Wang
Screening and verification of microRNA promoter methylation sites in hepatocellular carcinoma
肝细胞癌中microRNA启动子甲基化位点的筛选与验证
  • DOI:
    10.1002/jcb.29656
  • 发表时间:
    2020-02
  • 期刊:
  • 影响因子:
    4
  • 作者:
    Xiaofeng Ni;Zhuo Lin;Shengjie Dai;Hao Chen;Jianhui Chen;Chenlei Zheng;Boda Wu;Jianyang Ao;Keqing Shi;Hongwei Sun
  • 通讯作者:
    Hongwei Sun

Hongwei Sun的其他文献

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{{ truncateString('Hongwei Sun', 18)}}的其他基金

Collaborative Research: A Low-Cost, "Digital" Biosensing Platform with Single Protein Biomarker Sensitivity
合作研究:具有单一蛋白质生物标志物敏感性的低成本“数字”生物传感平台
  • 批准号:
    2130716
  • 财政年份:
    2021
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
Collaborative Research: A Low-Cost, "Digital" Biosensing Platform with Single Protein Biomarker Sensitivity
合作研究:具有单一蛋白质生物标志物敏感性的低成本“数字”生物传感平台
  • 批准号:
    1916374
  • 财政年份:
    2019
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
I-Corps Teams: A Low Cost and High Performance Anode for Lithium Ion Batteries with Application to Electric Vehicles
I-Corps Teams:适用于电动汽车的低成本高性能锂离子电池阳极
  • 批准号:
    1619738
  • 财政年份:
    2016
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
Nanoscale Metal Network Enhanced Phase Change Materials
纳米级金属网络增强相变材料
  • 批准号:
    1562876
  • 财政年份:
    2016
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
EAGER: Magnetically Assembling and Soldering of Nanoscale Metal Network into Phase Change Material
EAGER:将纳米级金属网络磁性组装并焊接到相变材料中
  • 批准号:
    1348098
  • 财政年份:
    2013
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
MRI: Acquisition of a Nanoimprint Lithography System for Nanomanufacturing and Nano/Micro Fabrication
MRI:购买用于纳米制造和纳米/微米制造的纳米压印光刻系统
  • 批准号:
    0923403
  • 财政年份:
    2009
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant

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