Lab-on-a-Paper for Point-of-Use Microbial Source Tracking

用于使用点微生物源追踪的纸上实验室

基本信息

  • 批准号:
    NE/R013349/1
  • 负责人:
  • 金额:
    $ 51.63万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Fellowship
  • 财政年份:
    2018
  • 资助国家:
    英国
  • 起止时间:
    2018 至 无数据
  • 项目状态:
    已结题

项目摘要

Water contamination with microbial organisms in water systems, including drinking, ground, recreational, and wildlife, is a global issue. Even with well-operated drinking-water treatment plants, such as those available in Scotland and the UK, drinking water distribution systems are vulnerable to episodic pathogen intrusion (from pressure losses, repairs or rain-induced run-off of dirty water), presenting high risks to human health and significant economic losses. For example the Centre for Disease Control in the United States (one of the safest drinking water systems in the world) estimate that there are 4-32 million cases of acute gastrointestinal illness per year from public drinking water systems. Contamination is also impacting local distribution systems with decentralised facilities, such as those present in many low and middle-income countries (LMICs) as well as remote areas of 'developed' countries (such as Scotland). In this Fellowship, low-cost, deployable paper-based biosensor devices (lab-on-a-paper) will be developed for the online monitoring of water quality. Using sensors built around simple and low-cost paper-based devices to process water samples, we will develop rapid, sensitive and easy-to-use testing devices that can detect genetic markers of pathogens, along with co-markers of their origins, a key capability to identify multiple pathogens in drinking water and track their source. For example, the detection of human DNA markers could potentially infer a human faecal contamination, while animal genes (e.g. cattle, pig, etc...) could help identify agricultural sources. By deploying these portable sensors, we will obtain data on contamination patterns and dynamics, which in turn will provide the ability to not only rapidly respond to the contamination and curtail it before consumption of drinking water, but also design new surveillance systems and build new understandings of the pathways taken by the contaminating pathogens in the environment. The detection of microbial contamination together with its tracing and tracking in the environment is currently performed mainly by isolating, culturing and identifying the pathogens against known contaminants, through a long process that can take many days and extensive technical expertise. New procedures have been improved to enable faster testing via the molecular detection of specific genetic markers or the pathogens (< 1 hour), but these currently require centralised facilities and skilled personnel, preventing their use in the field. The technologies developed in this Fellowship will allow the detection of multiple genetic markers rapidly, in the field. These highly multiplexed assays will provide the capability for industry to provide a rapid and dynamic response to a contamination, and to identify and track its source.Working with Scottish Water, we will validate the devices in the field in Scotland. Our close collaboration will ensure that the developments are relevant to the end-users, such that the translation into practical use can be accomplished with minimal delay and risk. This will have the potential to enable "sustainable communities and sustainable homes", an initiative of Scottish Water for small rural communities which is particularly important in Scotland as well as affording opportunities for growth internationally. Beyond rural communities in high-resources settings, decentralised water systems are also present in low and middle-income countries. Through interactions with NGOs, we will aim to explore the impact of the technologies developed in this Fellowship in the wider community, globally. In future, our biotechnological platform will also enable source tracking and monitoring in the wider environment (e.g. agricultural processes), including antimicrobial resistance, thus providing a cornerstone in solving challenges arising to maintain a healthy population, a key strand of the UK Industrial Strategy.
包括饮用水、地面、娱乐和野生动物在内的水系统中的微生物污染是一个全球性的问题。即使是运营良好的饮用水处理厂,如苏格兰和英国的饮用水处理厂,饮用水分配系统也很容易受到间歇性病原体入侵(压力损失、维修或雨水导致的脏水流失),对人类健康构成高风险,并造成重大经济损失。例如,美国疾病控制中心(世界上最安全的饮用水系统之一)估计,每年有400万至3200万例来自公共饮用水系统的急性胃肠道疾病。污染还影响了分散设施的当地配电系统,例如许多中低收入国家(LMIC)以及“发达国家”的偏远地区(如苏格兰)的配电系统。在这项合作中,将开发低成本、可部署的纸基生物传感器设备(纸上实验室),用于在线监测水质。使用围绕简单且低成本的纸质设备构建的传感器来处理水样,我们将开发快速、敏感和易于使用的检测设备,可以检测病原体的遗传标记以及它们的起源的共同标记,这是识别饮用水中的多种病原体并追踪其来源的关键能力。例如,人类DNA标记的检测可能推断出人类粪便污染,而动物基因(如牛、猪等)可以帮助确定农业来源。通过部署这些便携式传感器,我们将获得关于污染模式和动态的数据,这反过来将提供不仅能够在饮用饮用水之前对污染做出快速反应并减少污染,而且还可以设计新的监测系统,并对环境中污染病原体所走的路径建立新的理解。目前,微生物污染的检测及其在环境中的追踪和跟踪主要是通过分离、培养和鉴定已知污染物的病原体,通过一个可能需要许多天的漫长过程和广泛的技术专长来进行的。已经改进了新的程序,通过对特定遗传标记或病原体的分子检测来实现更快的测试(&lt;1小时),但目前这些程序需要集中的设施和熟练的人员,使其无法在现场使用。该研究金开发的技术将使在现场快速检测多个遗传标记成为可能。这些高度多样化的检测方法将为工业提供对污染的快速和动态响应,并识别和跟踪其来源。我们将与苏格兰水务公司合作,在苏格兰的现场验证这些设备。我们的密切合作将确保这些发展与最终用户相关,以便能够以最小的延误和风险完成将其转化为实际用途。这将有可能实现“可持续社区和可持续家园”,这是苏格兰水务为小型农村社区发起的一项倡议,在苏格兰特别重要,并为国际增长提供了机会。除资源丰富的农村社区外,分散供水系统也存在于低收入和中等收入国家。通过与非政府组织的互动,我们将致力于探索在该奖学金中开发的技术在全球更广泛的社区中的影响。未来,我们的生物技术平台还将能够在更广泛的环境(例如农业过程)中跟踪和监测来源,包括抗菌素耐药性,从而为解决保持健康人口这一英国工业战略的关键要素而产生的挑战提供基石。

项目成果

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Occurrence of various viruses and recent evidence of SARS-CoV-2 in wastewater systems.
  • DOI:
    10.1016/j.jhazmat.2021.125439
  • 发表时间:
    2021-07-15
  • 期刊:
  • 影响因子:
    13.6
  • 作者:
    Ali W;Zhang H;Wang Z;Chang C;Javed A;Ali K;Du W;Niazi NK;Mao K;Yang Z
  • 通讯作者:
    Yang Z
AuAg nanocages/graphdiyne for rapid elimination and detection of trace pathogenic bacteria.
  • DOI:
    10.1016/j.jcis.2022.01.046
  • 发表时间:
    2022-01
  • 期刊:
  • 影响因子:
    9.9
  • 作者:
    Qiang Bai;Hongyang Luo;Shugao Shi;Shen Liu;Lina Wang;Fanglin Du;Zhugen Yang;Zhiling Zhu
  • 通讯作者:
    Qiang Bai;Hongyang Luo;Shugao Shi;Shen Liu;Lina Wang;Fanglin Du;Zhugen Yang;Zhiling Zhu
Paper-based devices for rapid diagnostics and testing sewage for early warning of COVID-19 outbreak
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Zhugen Yang其他文献

Low-cost and rapid paper-based microfluidic device for wastewater surveillance at low-resource settings
低成本、快速的纸基微流体装置,用于资源匮乏环境下的废水监测
An organic-inorganic polyacrylamide-based surface imprinted quantum dots for the impedimetric and voltammetric detection of diazepam in saliva with smartphone readout
  • DOI:
    10.1016/j.talanta.2024.127400
  • 发表时间:
    2025-04-01
  • 期刊:
  • 影响因子:
  • 作者:
    Oluwasesan Adegoke;Kayode Oyinlola;Kayode Omotayo Adeniyi;Ojodomo J. Achadu;Zhugen Yang;Niamh Nic Daeid
  • 通讯作者:
    Niamh Nic Daeid
Rapid enzymatic assays for fecal contamination in aquatic environment: Challenges, advances and prospects
水生环境中粪便污染的快速酶检测法:挑战、进展与前景
  • DOI:
    10.1016/j.trac.2024.117768
  • 发表时间:
    2024-07-01
  • 期刊:
  • 影响因子:
    12.000
  • 作者:
    Xiaofei Yuan;Andrew Glidle;Zhugen Yang;Baojun Wang
  • 通讯作者:
    Baojun Wang
Cancer biomarkers detection using 3D microstructured protein chip: Implementation of customized multiplex immunoassay
使用 3D 微结构蛋白质芯片检测癌症生物标志物:实施定制多重免疫分析
  • DOI:
    10.1016/j.snb.2011.11.055
  • 发表时间:
    2011
  • 期刊:
  • 影响因子:
    8.4
  • 作者:
    Zhugen Yang;Y. Chevolot;Y. Ataman;G. Choquet;É. Souteyrand;E. Laurenceau
  • 通讯作者:
    E. Laurenceau
Light/ultrasound enhance peroxidase activity of BaTiOsub3/sub/graphdiyne/Au nanozyme for colorimetric detection of emE. coli/em O157:H7
光/超声增强BaTiO₃/石墨炔/金纳米酶的过氧化物酶活性用于比色检测大肠杆菌O157:H7
  • DOI:
    10.1016/j.snb.2025.137378
  • 发表时间:
    2025-05-01
  • 期刊:
  • 影响因子:
    7.700
  • 作者:
    Di Zhang;Haoxin Li;Kai Wang;Yujian Sun;Chenguang Wang;Yingying Wang;Qiang Bai;Tianzhi Yu;Zhugen Yang;Ning Sui;Lina Wang
  • 通讯作者:
    Lina Wang

Zhugen Yang的其他文献

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{{ truncateString('Zhugen Yang', 18)}}的其他基金

Canada_IPAP - Anglo-Canadian Collaboration on Antimicrobial resistance
Canada_IPAP - 英加抗微生物药物耐药性合作
  • 批准号:
    BB/X012840/1
  • 财政年份:
    2023
  • 资助金额:
    $ 51.63万
  • 项目类别:
    Research Grant
Lab-on-a-Paper for Point-of-Use Microbial Source Tracking
用于使用点微生物源追踪的纸上实验室
  • 批准号:
    NE/R013349/2
  • 财政年份:
    2019
  • 资助金额:
    $ 51.63万
  • 项目类别:
    Fellowship

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用于宫颈癌护理点筛查的低成本纸上 CRISPR
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Deep learning-based serological test for point-of-care analysis of COVID-19 immunity with a paper-based multiplexed sensor
基于深度学习的血清学测试,使用纸基多重传感器对 COVID-19 免疫力进行即时分析
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Rapid and Simple Paper Strip Test for the Multiplexed Detection of Gastrointestinal Pathogens at the Point-of-Need
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