Development of a polymer-based sensing platform for the thermal detection of antimicrobial resistance
开发用于热检测抗菌药物耐药性的聚合物传感平台
基本信息
- 批准号:EP/R029296/2
- 负责人:
- 金额:$ 17.08万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2019
- 资助国家:英国
- 起止时间:2019 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Antibiotics revolutionized modern medicine, but these 'wonder' drugs are under threat due to the rapid emergence of antimicrobial resistant bacterial strains that no longer respond to standard antibiotic treatment. This endangers current standard procedures, such as major surgery, cancer therapy and organ transplantation. Monitoring these resistant strains is key to combating them.In this proposal, we will produce a biosensor for the detection of bacteria, particularly those with antimicrobial resistance. In a simple and low-cost manner, we can rapidly identify the source of bacterial infection to enable clinicians to develop a personalized treatment plan that will benefit patients' care. In addition, we will expand this to an array format for the simultaneous detection of bacteria and antibiotics, which can serve to screen (food) samples for antibiotic residues and will provide valuable insight into how bacteria develop AMR properties. We will use a technique called molecular imprinting for producing the sensor platform. These Molecularly Imprinted Polymers (MIPs) are often referred to as "plastic" antibodies. These materials have a porous structure, with high affinity binding sites for their target molecule. Their advantages over "natural" antibodies include low-cost, straightforward preparation, robustness, and ability to work in extreme environments (pH, adverse temperatures and organic solvents). Prior work in the PI's group has shown that binding of targets to imprinted polymers can alter the conduction of heat through the polymer essentially blocking heat-flow. This can lead to a temperature differential which can be measured by a thermal sensor (thermocouple device). This change in heat-flow is dependent on target concentration. This method, patented as the Heat-Transfer Method (HTM), has only been studied with MIP microstructures. In this proposal, we will take a novel electrochemical approach to develop MIP nanolayers that will increase the sensitivity of the developed sensor platform. This project consists of the following steps: (a) Use of electrochemical methods to prepare MIP sensors.We will prepare nanometre thick bacterial imprinted layers functionalised onto electrodes from five different monomers, which have been identified from literature databases to bind bacteria. Using HTM it will be determined which monomer has the highest potential to bind a particular bacterial strain allowing us to optimise the MIP. A series of medically relevant targets (including Staphylococcus aureus strains, some of which exhibit antimicrobial resistance) will be measured and the sensor performance will be optimised in terms of time, selectivity and affinity.(b) Thermal measurements of bacterial in buffered solutionsWe will perform thermal measurements with the MIP sensors (library of six bacteria) to evaluate the bacterial loads in buffered solutions. These measurements will be validated against current gold-standard techniques (ELISA, genotyping) to determine the accuracy and precision of the developed thermal sensing strategy. (c) Thermal measurements of "complex" samplesClinical or food samples are complex matrices - we will evaluate if we can selectively detect certain bacterial strains in the presence of an excess of other (harmless) bacteria. Finally, we will explore if we can transform this sensor into an array format for the simultaneous detection of bacteria and antibiotics, by integrating MIPs specific for antibiotic compounds.This proposal will build the research portfolio of the PI, establish her independence, and lay the foundation of a multidisciplinary and exciting research programme. A project partner at Maastricht will provide advice on thermal measurements and serve for knowledge exchange visits. The developed sensor platform has commercial potential due to its low-cost and simplicity and the PI will explore its this during the project timeline.
抗生素彻底改变了现代医学,但这些“神奇”药物正受到威胁,因为耐抗生素细菌菌株的迅速出现不再对标准抗生素治疗有反应。这危及目前的标准程序,如大手术、癌症治疗和器官移植。监测这些耐药菌株是对抗它们的关键。在本提案中,我们将生产一种生物传感器,用于检测细菌,特别是那些具有抗菌素耐药性的细菌。通过一种简单和低成本的方式,我们可以快速识别细菌感染的来源,使临床医生能够制定个性化的治疗计划,从而使患者的护理受益。此外,我们将将其扩展到同时检测细菌和抗生素的阵列格式,这可以用于筛选(食品)样品中的抗生素残留,并将为细菌如何发展AMR特性提供有价值的见解。我们将使用一种称为分子印迹的技术来生产传感器平台。这些分子印迹聚合物(MIPs)通常被称为“塑料”抗体。这些材料具有多孔结构,对其靶分子具有高亲和力的结合位点。与“天然”抗体相比,它们的优势包括低成本、制备简单、坚固耐用,以及在极端环境(pH值、恶劣温度和有机溶剂)下工作的能力。PI小组先前的工作表明,将目标与印迹聚合物结合可以改变通过聚合物的热传导,本质上是阻止热流。这可能导致可以通过热传感器(热电偶装置)测量的温差。热流的变化取决于靶的浓度。该方法的专利名称为热传递法(HTM),目前仅在MIP微观结构中进行过研究。在本提案中,我们将采用一种新的电化学方法来开发MIP纳米层,这将提高所开发传感器平台的灵敏度。本项目包括以下步骤:(a)利用电化学方法制备MIP传感器。我们将制备纳米厚的细菌印迹层,将其功能化到五种不同的单体电极上,这些单体已经从文献数据库中鉴定出用于结合细菌。使用HTM将确定哪个单体具有最高的结合特定细菌菌株的潜力,从而使我们能够优化MIP。一系列医学相关目标(包括金黄色葡萄球菌菌株,其中一些表现出抗菌素耐药性)将被测量,传感器性能将在时间、选择性和亲和力方面进行优化。(b)缓冲溶液中细菌的热测量我们将使用MIP传感器(六种细菌库)进行热测量,以评估缓冲溶液中的细菌负荷。这些测量将与当前的金标准技术(ELISA、基因分型)进行验证,以确定所开发的热感测策略的准确性和精密度。(c)“复杂”样品的热测量临床或食品样品是复杂的基质-我们将评估我们是否可以在存在过量其他(无害)细菌的情况下选择性地检测某些菌株。最后,我们将探索是否可以通过整合抗生素化合物特异性的MIPs,将该传感器转化为阵列格式,以同时检测细菌和抗生素。该提案将建立PI的研究组合,建立她的独立性,并为一个多学科和令人兴奋的研究计划奠定基础。马斯特里赫特的一个项目合作伙伴将提供热测量方面的建议,并为知识交流访问提供服务。由于其低成本和简单性,开发的传感器平台具有商业潜力,PI将在项目时间表中探索其可行性。
项目成果
期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Electropolymerised molecularly imprinted polymers for the heat-transfer based detection of microorganisms: A proof-of-concept study using yeast
- DOI:10.1016/j.tsep.2021.100956
- 发表时间:2021-05-07
- 期刊:
- 影响因子:4.8
- 作者:Jamieson, O.;Betlem, K.;Peeters, M.
- 通讯作者:Peeters, M.
Electropolymerized Receptor Coatings for the Quantitative Detection of Histamine with a Catheter-Based, Diagnostic Sensor
用于使用基于导管的诊断传感器定量检测组胺的电聚合受体涂层
- DOI:10.1021/acssensors.0c01844
- 发表时间:2020
- 期刊:
- 影响因子:8.9
- 作者:Wackers G
- 通讯作者:Wackers G
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Marloes Peeters其他文献
Solubilization of hydrophobic drugs clozapine and oxcarbazepine in the lower and higher molecular weight pluronic mixed micelles-a physicochemical, <em>In vitro</em> release and <em>In vitro</em> anti-oxidant study
- DOI:
10.1016/j.molliq.2020.113816 - 发表时间:
2020-11-01 - 期刊:
- 影响因子:
- 作者:
Pankaj Singla;Saweta Garg;Rajbir Bhatti;Marloes Peeters;Onkar Singh;Rakesh Kumar Mahajan - 通讯作者:
Rakesh Kumar Mahajan
Reviewing the use of chitosan and polydopamine for electrochemical sensing
- DOI:
10.1016/j.coelec.2021.100885 - 发表时间:
2022-04-01 - 期刊:
- 影响因子:6.900
- 作者:
Akash Prabhu;Robert D. Crapnell;Kasper Eersels;Bart van Grinsven;Aruna K. Kunhiraman;Pankaj Singla;Jake McClements;Craig E. Banks;Katarina Novakovic;Marloes Peeters - 通讯作者:
Marloes Peeters
Troponin I biomarker sensing from clinical patient samples using molecularly imprinted polymer nanoparticles for advancing healthcare approaches in cardiovascular disease
使用分子印迹聚合物纳米粒子从临床患者样本中检测肌钙蛋白I生物标志物,以推进心血管疾病的医疗方法
- DOI:
10.1016/j.bios.2025.117467 - 发表时间:
2025-08-15 - 期刊:
- 影响因子:10.500
- 作者:
Joshua Saczek;Oliver Jamieson;Jake McClements;Amy Dann;Rhiannon E. Johnson;Alexander D. Stokes;Robert D. Crapnell;Craig E. Banks;Francesco Canfarotta;Ioakim Spyridopoulos;Alan Thomson;Azfar Zaman;Katarina Novakovic;Marloes Peeters - 通讯作者:
Marloes Peeters
Zero-waste circular economy of plastic packaging: The bottlenecks and a way forward
塑料包装零废弃循环经济:瓶颈与出路
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:9.6
- 作者:
Katarina Novakovic;Deepashree Thumbarathy;Marloes Peeters;Mark Geoghegan;Josephine Go Jefferies;Chris Hicks;Danae Manika;Sheng Dai - 通讯作者:
Sheng Dai
Dual-strain detection of norovirus GI.1 and GII.4 in food samples using epitope-imprinted polymers
使用表位印迹聚合物对食品样本中诺如病毒 GI.1 和 GII.4 的双重菌株检测
- DOI:
10.1016/j.aca.2025.344331 - 发表时间:
2025-09-22 - 期刊:
- 影响因子:6.000
- 作者:
Amy Dann;Pankaj Singla;Jake McClements;Minji Kim;Sloane Stoufer;Robert D. Crapnell;Craig E. Banks;Shayan Seyedin;Mark Geoghegan;Christopher F. Blanford;Matthew D. Moore;Marloes Peeters - 通讯作者:
Marloes Peeters
Marloes Peeters的其他文献
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{{ truncateString('Marloes Peeters', 18)}}的其他基金
Transforming Parkinson's disease clinical management with integrated digital health technologies
利用集成数字健康技术改变帕金森病临床管理
- 批准号:
EP/W031590/2 - 财政年份:2023
- 资助金额:
$ 17.08万 - 项目类别:
Research Grant
Transforming Parkinson's disease clinical management with integrated digital health technologies
利用集成数字健康技术改变帕金森病临床管理
- 批准号:
EP/W031590/1 - 财政年份:2023
- 资助金额:
$ 17.08万 - 项目类别:
Research Grant
Development of a polymer-based sensing platform for the thermal detection of antimicrobial resistance
开发用于热检测抗菌药物耐药性的聚合物传感平台
- 批准号:
EP/R029296/1 - 财政年份:2018
- 资助金额:
$ 17.08万 - 项目类别:
Research Grant
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