14TSB_ESAP Improved risk prediction for precision agriculture: automated monitoring of pathogen movement
14TSB_ESAP 改进精准农业的风险预测:自动监测病原体运动
基本信息
- 批准号:BB/M005453/1
- 负责人:
- 金额:$ 31.63万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2014
- 资助国家:英国
- 起止时间:2014 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The project seeks to develop an innovative automated in-field instrument for integrated spore-sampling and testing for airborne fungal pathogens in wheat which currently cost the UK in excess of £120 million annually to control. The instrument will form the basis of a distributed detection network, providing real-time information on inoculum movement, allowing more effective timing and targeting of fungicide control. This will aid the crop science industry to further research risk prediction and development/refinement of decision support systems for fungal pathogens, benefitting the cereal industry in the first instance, but also the UK society in general by helping to secure the long term future of the food industry. The work involves integration of cyclone air sampling, automated fluidic handling and DNA analysis using Loop mediated isothermal AMPlification (LAMP) methods for direct detection and identification of fungal species. The University of Hertfordshire's (UoH) primary involvement, and thus our core objectives, are the development of the particulate capture and transport mechanisms within this unit.In particular the primary objective is the development of a cyclonic separator for spore collection (Septoria tritici, Puccinia triticina and P striiformis) with subsequent fluid handling and sample processing platform development. The cyclone separator forms the initial stage of a collection unit which will also include a particle retention chamber and mechanical/fluidic interface. The latter, comprising both milli and microfluidic systems, transfers collected analyte to the processing module to prepare the sample for the detection chamber, wherein detection will be based on sensitive real-time fluorescence detection of the target DNA. An engineering solution will be developed to integrate the air sampling, fluid handling and detection platforms.The system will sample periodically with the collected analyte analysed in batches. The approach that we propose here will offer rapid and accurate analysis of samples collected by remotely distributed in-field instrumentation. In order to achieve our objectives the work plan for UoH, is as follows:Objective 1: Development of in-field cyclonic fungal spore collector (Lead UoH)Milestone (MS) 1.1 Design & development of cyclonic collector and intake assemblyMS 1.2 Design & development of fluidic handling and processing moduleMS 1.3 Manufacture & evaluation of prototype cyclonic collector and intake assemblyMS 1.4 Cyclone aerosol collection characterisation and performance tests with dry spore simulantsMS 1.5 Manufacture & evaluation of prototype fluidic handling and processing moduleMS 1.6 Manufacture & evaluation of fluidic handling and processing moduleObjective 2: Evaluation of sample processing of fungal spores (Lead Fera)MS 2.2 Integration of sample preparation procedure with fluidic handling and processing moduleThe aim is to contribute to the core development of a precision agriculture tool to enhance efficient use of resources in the crop, maximise yield and minimise potentially negative environmental impacts associated with food production in line with the scope of the competition. The proposal brings together the knowledge and skills of a cross-disciplinary team from designers and engineers of scientific instruments (Optisense and University of Hertfordshire), representatives of the crop protection industry (Bayer), and plant pathology/detection experts (Fera). The resultant tool will therefore have input from a broad spectrum of crop science stakeholders.However, developing these new technologies is only part of the challenge. It is also necessary to make sure these new methods are fit-for-purpose and that they work in a way that meets the needs of end users including research scientists, food producers and agri-chemical specialists. To achieve this, core end users are represented in the development work within this consortium.
该项目旨在开发一种创新的自动化现场仪器,用于对小麦中的空气传播真菌病原体进行综合孢子采样和测试,目前英国每年花费超过 1.2 亿英镑来控制该仪器,该仪器将构成分布式检测的基础。网络,提供有关接种物移动的实时信息,从而更有效地确定杀菌剂控制的时机和目标,这将有助于作物科学行业进一步研究真菌病原体的风险预测和决策支持系统的开发/完善,从而使谷物受益。这项工作涉及利用环介导等温 AMPlification (LAMP) 方法整合旋风空气采样、自动流体处理和 DNA 分析,从而首先帮助确保食品行业的长远发展,同时也保护整个英国社会。赫特福德郡大学 (UoH) 的主要参与以及我们的核心目标是开发该装置内的颗粒捕获和传输机制。特别是主要目标是开发用于孢子收集(小麦壳针孢、小麦锈病和条状小麦)的旋风分离器的设计以及随后的流体处理和样品处理平台的开发旋风分离器构成了收集单元的初始阶段,该收集单元还包括颗粒保留室和机械/流体。后者由毫流系统和微流系统组成,将收集的分析物转移到处理模块,为检测室准备样品,因此检测将基于灵敏。将开发一种工程解决方案来集成空气采样、流体处理和检测平台。该系统将定期采样,并批量分析收集的分析物。我们在此提出的方法将提供快速的结果。以及对远程分布式现场仪器收集的样品进行准确分析 为了实现我们的目标,UoH 的工作计划如下: 目标 1:开发现场旋风真菌孢子收集器(主导)。 UoH) 里程碑 (MS) 1.1 旋风收集器和进气组件的设计和开发MS 1.2 流体处理和处理模块的设计和开发MS 1.3 原型旋风收集器和进气组件的制造和评估MS 1.4 旋风收集器气溶胶收集特性和干孢子模拟物的性能测试MS 1.5原型流体处理和处理模块的制造和评估MS 1.6 制造和评估流体处理和处理模块目标 2:评估真菌孢子(Lead Fera)MS 2.2 样品制备程序与流体处理和处理模块的集成目的是促进精准农业工具的核心开发,以提高资源的有效利用该提案汇集了科学仪器设计师和工程师的跨学科团队的知识和技能,以最大限度地提高作物产量并最大限度地减少与粮食生产相关的潜在负面环境影响。 (Optisense 和赫特福德郡大学)、作物保护行业的代表(拜耳)和植物病理学/检测专家(Fera)因此,最终的工具将得到广泛的作物科学利益相关者的投入。然而,开发这些新技术。这只是挑战的一部分,还需要确保这些新方法适合目的,并且它们的工作方式能够满足最终用户(包括研究科学家、食品生产商和农业化学专家)的需求。实现这一目标,代表核心最终用户参与该联盟内的开发工作。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Design of a high efficiency cyclone for collection of rare and low concentration airborne pathogens
一种用于收集稀有低浓度空气传播病原体的高效旋风分离器的设计
- DOI:
- 发表时间:2017
- 期刊:
- 影响因子:0
- 作者:Baxter R
- 通讯作者:Baxter R
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Daniel McCluskey其他文献
Optimizing the hydrocyclone for ballast water treatment using computational fluid dynamics
使用计算流体动力学优化用于压载水处理的水力旋流器
- DOI:
10.1260/175095409788922310 - 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
Daniel McCluskey;A. Holdø - 通讯作者:
A. Holdø
Daniel McCluskey的其他文献
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{{ truncateString('Daniel McCluskey', 18)}}的其他基金
Direct airborne particulate and bioaerosol capture using suspended liquid surfactant membranes for continuous biodetection and threat analysis
使用悬浮液体表面活性剂膜直接捕获空气中的颗粒物和生物气溶胶,进行连续生物检测和威胁分析
- 批准号:
EP/X017702/1 - 财政年份:2023
- 资助金额:
$ 31.63万 - 项目类别:
Research Grant
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