Smart Materials for Equipment-Free Molecular Identification of Insect Pests and Viral Vectors
用于无设备分子识别害虫和病毒载体的智能材料
基本信息
- 批准号:BB/V017551/1
- 负责人:
- 金额:$ 18.75万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2021
- 资助国家:英国
- 起止时间:2021 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The whitefly species complex Bemisia tabaci represents some of the most economically important agricultural and horticultural insect pests globally. Its members cause significant physiological damage directly through feeding, and indirectly on the photosynthetic capacity of plants through the large quantities of honeydew produced encouraging sooty mould growth on leaves. The greatest economic impact is, however, caused by its members collectively vectoring > 300 different species of plant virus. These include Tomato yellow leaf curl viruses, Cucurbit yellow stunting disorder, Cucumber vein yellowing virus, Cassava brown streak viruses and Africa Cassava mosaic viruses. These viruses result in significant economic losses through damage to high value crops across the Mediterranean (tomatoes, cucumbers), southern USA (tomatoes, cucumbers, sweet potato) and Africa (cassava, sweet potato). While B. tabaci is not yet established within the UK it is recognised as a serious and growing threat to the horticultural industry. The UK is currently a regulated B. tabaci pest-free area and a central tool to maintaining this status is rapid and accurate identification of B. tabaci.Yellow sticky traps are a key component of the Defra recommended measures for monitoring for incursions and outbreaks of B. tabaci in the UK. Insects stuck on traps are difficult for non-entomologists to identify due to similarities with non-quarantine species such as Bemisia afer and the common glasshouse whitefly Trialeurodes vaporariorum, especially if damaged during trapping. As a result, traps are sent to laboratories for identification by specialist entomologists using either low magnification microscopy, molecular diagnostic tools or a combination of both. The logistical burden of collecting traps and the costs associated with the laboratory analysis, reduces the number of sticky traps used in routine surveillance operations, diminishing its value as a surveillance method. As a result, incursions of B. tabaci are usually observed by inspectors when outbreaks become severe. This makes containment and eradication more difficult and costly and runs the risk that the pest spreads to the point of being difficult or impossible to contain. Here we propose a novel, smart material - inspired by yellow sticky traps - that comprise an adhesive, biofunctional polymer to trap whiteflies and release DNA passively, that is in turn layered on top of a biosensor core capable of discriminating B. tabaci from other whitefly species and producing a visual signal. These materials can be printed on to disposable paper strips for use in different settings such as shipping containers or contained growth facilities.
粉虱是全球最重要的农业和园艺害虫之一。它的成员直接通过取食造成重大的生理损害,并通过产生大量的蜜露促进叶片上的煤烟霉生长间接影响植物的光合能力。然而,最大的经济影响是由其成员集体传播300多种不同的植物病毒造成的。这些病毒包括番茄黄卷叶病毒、葫芦黄色发育迟缓症、黄瓜静脉变黄病毒、木薯褐条病毒和非洲木薯花叶病毒。这些病毒通过破坏地中海(西红柿、黄瓜)、美国南部(西红柿、黄瓜、红薯)和非洲(木薯、红薯)的高价值作物,造成重大经济损失。虽然烟粉虱在英国尚未被发现,但它被认为是对园艺产业的严重威胁。英国目前是一个受管制的无烟粉虱疫区,保持这一状态的一个核心工具是快速准确地识别烟粉虱。黄色粘捕器是英国环境与食品事务部建议的监测烟粉虱入侵和爆发措施的关键组成部分。被困在诱捕器上的昆虫对于非昆虫学家来说很难识别,因为它们与非检疫物种(如Bemisia afer和常见的温室白蝇Trialeurodes vaporariorum)有相似之处,尤其是在诱捕过程中被破坏的昆虫。因此,捕虫器被送到实验室,由专业昆虫学家使用低倍率显微镜、分子诊断工具或两者结合进行鉴定。收集诱捕器的后勤负担和与实验室分析相关的费用减少了常规监测行动中使用的粘性诱捕器的数量,降低了其作为一种监测方法的价值。因此,当疫情变得严重时,检查员通常会观察到烟粉虱的入侵。这使得控制和根除变得更加困难和昂贵,并有可能使有害生物扩散到难以或不可能控制的程度。在这里,我们提出了一种新颖的智能材料——灵感来自黄色的粘性陷阱——它包含一种粘性的生物功能聚合物,可以捕获白蝇并被动释放DNA,然后将其分层在生物传感器核心上,该核心能够将烟粉虱与其他白蝇物种区分开来,并产生视觉信号。这些材料可以印在一次性纸条上,用于不同的环境,如集装箱或密闭的生长设施。
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)
Methods for Embedding Cell-Free Protein Synthesis Reactions in Macro-Scale Hydrogels.
在宏观水凝胶中嵌入无细胞蛋白质合成反应的方法。
- DOI:10.3791/65500
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Kavil S
- 通讯作者:Kavil S
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Thomas Howard其他文献
Creative design: analysis, ontology and stimulation
创意设计:分析、本体与刺激
- DOI:
- 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
Galina Medyna;E. Coatanéa;Lauri Lahti;Thomas Howard;François Christophe;W. Brace - 通讯作者:
W. Brace
PUMAH: Pan-Tilt Ultrasound Mid-Air Haptics for Larger Interaction Workspace in Virtual Reality
PUMAH:用于虚拟现实中更大交互工作空间的云台超声空中触觉
- DOI:
10.1109/toh.2019.2963028 - 发表时间:
2019 - 期刊:
- 影响因子:2.9
- 作者:
Thomas Howard;M. Marchal;A. Lécuyer;C. Pacchierotti - 通讯作者:
C. Pacchierotti
Guest Editorial: Robotics: Science and Systems 2018 (RSS 2018)
- DOI:
10.1007/s10514-020-09939-4 - 发表时间:
2020-08-31 - 期刊:
- 影响因子:4.300
- 作者:
Thomas Howard;Amanda Prorok;Hadas Kress-Gazit - 通讯作者:
Hadas Kress-Gazit
Does Multi-Actuator Vibrotactile Feedback Within Tangible Objects Enrich VR Manipulation?
有形物体内的多驱动器振动触觉反馈是否可以丰富 VR 操作?
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:5.2
- 作者:
Pierre;Thomas Howard;Guillaume Gicquel;C. Pacchierotti;Marie Babel;M. Marchal - 通讯作者:
M. Marchal
Section 1: Anatomy of the Sensorimotor System
第 1 节:感觉运动系统的解剖
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Lendy Mulot;Thomas Howard;C. Pacchierotti;M. Marchal - 通讯作者:
M. Marchal
Thomas Howard的其他文献
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{{ truncateString('Thomas Howard', 18)}}的其他基金
21EngBio: Engineering Bioprogrammable Materials Using Hydrogel-Based Cell-Free Gene Expression and Spatiotemporal Modelling
21EngBio:使用基于水凝胶的无细胞基因表达和时空建模工程生物可编程材料
- 批准号:
BB/W01095X/1 - 财政年份:2022
- 资助金额:
$ 18.75万 - 项目类别:
Research Grant
CAREER: Inferring Minimal but Sufficient Environment Models from Natural Language and Semantic Perception for Collaborative Robots in Dynamic Environments
职业:从动态环境中的协作机器人的自然语言和语义感知推断最小但足够的环境模型
- 批准号:
2144804 - 财政年份:2022
- 资助金额:
$ 18.75万 - 项目类别:
Continuing Grant
S&AS: FND: COLLAB: Probabilistic Underactuated Motion Adaptation
S
- 批准号:
1723972 - 财政年份:2017
- 资助金额:
$ 18.75万 - 项目类别:
Standard Grant
Self-disclosing protective materials using synthetic gene networks
使用合成基因网络的自我披露保护材料
- 批准号:
EP/N026683/1 - 财政年份:2016
- 资助金额:
$ 18.75万 - 项目类别:
Research Grant
NRI: Collaborative Research: Learning Adaptive Representations for Robust Mobile Robot Navigation from Multi-Modal Interactions
NRI:协作研究:从多模态交互中学习鲁棒移动机器人导航的自适应表示
- 批准号:
1637813 - 财政年份:2016
- 资助金额:
$ 18.75万 - 项目类别:
Standard Grant
相似国自然基金
Journal of Materials Science & Technology
- 批准号:51024801
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- 资助金额:24.0 万元
- 项目类别:专项基金项目
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