In Situ Sensing System for the Selective and Sensitive Detection of Biological Toxins in HABs

用于选择性、灵敏检测有害细菌中生物毒素的原位传感系统

• 批准号: 1311735
• 负责人: Hyeok Choi
• 金额: $ 38.62万
• 依托单位: University of Texas at Arlington
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-03-15 至 2016-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1311735&HistoricalAwards=false
• 关键词: Situ; Sensing; System; Selective; Sensitive

The increasing frequency of harmful algal blooms (HABs) in marine and freshwater environments worldwide is a significant public health and environmental science concern because of the potential release of biological toxins -- in particular, microcystins (MCs) produced from cyanobacterial HABs. Current monitoring methods employing on-site sampling followed by in-lab analysis of HAB toxins (direct micro-observation) are neither sustainable nor practical to meet the vast spatial and temporal measuring need. Alternatively, remote sensing approaches based on identifying standard color products from satellite images (indirect macro-observation) are useful for monitoring general algal bloom activities. However, such color products are neither specific to HABs nor necessarily indicative of toxin release. As a result, it is important to determine the toxic/non-toxic nature of algal blooms and even identify the species of HAB toxins in a more effective, sustainable, and responsive manner. In our efforts to find a complementary approach to the two different observing methods, the overall goal of this proposed study is to real-time monitor the level of MCs in situ using an innovative wireless sensor network. In this project, researchers at the University of Texas at Arlington, New Mexico State University, and Virginia Polytechnic Institute will explore: (1) novel approaches to monitor toxin release during HAB activities, (2) innovative ideas to qualify and quantify various MCs at trace levels, and (3) integrated ways to realize the sensor network suitable for field applications. The proposed sensing system will utilize a surface-customized optical antenna to assay MCs selectively and sensitively. The antenna, consisting of arrays of resonant nanostructures with various transducer layers specific to multiple MCs, detects specific bindings of MCs to the transducer layers by analyzing the spectral characteristics of the subwavelength surface plasmon. A wireless sensing network to communicate assay data and operation command between sensing nodes and remote authorities will be developed. Most of the components necessary for executing the sensing protocol, including array chip, optical sensor, photo-detector array, and circuitries, are incorporated into a chip-size single substrate for system automation. Broader Impacts: Results of this project are expected to have significant impacts on the design and development of sensor networks and on scientific studies in the area of in situ environmental monitoring. The in situ real-time monitoring approach benefits immediate decision-making and timely response, which are crucial elements for establishing an early warning system as an environmental infrastructure. Educational impacts include students training by participating in the project, research integration with curricula, and hands-on research experience using the in situ sensor network testbed. Software tools and simulators developed during this project will be made available via the internet to research and education communities. Team members will take advantage of the existing organizations and programs in the participating universities to recruit and mentor students from underrepresented groups. JOINT FUNDING BY NSF AND NIEHS: The original proposal on which this project is based (R01 ES021951-01) was submitted to the National Institutes of Environmental Health Sciences (NIH/NIEHS) in response to Funding Opportunity Announcement RFA-ES-11-013 , "Oceans, Great Lakes and Human Health (R01)", an opportunity jointly sponsored by NSF. This project is cooperatively funded through separate awards from NSF and NIEHS.

全世界海洋和淡水环境中有害藻华日益频繁，这是一个重大的公共卫生和环境科学问题，因为可能会释放生物毒素，特别是蓝藻有害藻华产生的微囊藻毒素。 目前的监测方法采用现场采样，然后在实验室内分析有害藻华毒素（直接显微观察），既不可持续，也不实用，以满足巨大的空间和时间的测量需要。 另外，基于从卫星图像（间接宏观观测）确定标准颜色产品的遥感方法也可用于监测一般的水华活动。 然而，这种颜色产品既不是有害藻酸盐所特有的，也不一定是毒素释放的指示。 因此，必须以更有效、可持续和反应灵敏的方式确定藻华的有毒/无毒性质，甚至确定有害藻华毒素的种类。 在我们的努力，以找到一个互补的方法，这两种不同的观察方法，这项研究的总体目标是实时监测的MCs水平原位使用创新的无线传感器网络。 在这个项目中，德克萨斯大学阿灵顿分校、新墨西哥州州立大学和弗吉尼亚理工学院的研究人员将探索：（1）监测赤潮活动期间毒素释放的新方法，（2）在痕量水平上定性和定量各种MC的创新想法，以及（3）实现适合现场应用的传感器网络的综合方法。 所提出的传感系统将利用表面定制的光学天线来选择性地和灵敏地检测MCs。 天线，由阵列的共振纳米结构与特定于多个MC的各种换能器层，检测特定的绑定MC的换能器层通过分析的亚波长表面等离子体的光谱特性。 将建立一个无线传感网络，在传感节点和远程当局之间传送化验数据和操作命令。 执行传感协议所需的大部分组件，包括阵列芯片、光学传感器、光电检测器阵列和电路，都集成到芯片大小的单个基板中，用于系统自动化。 更广泛的影响：预计该项目的成果将对传感器网络的设计和发展以及现场环境监测领域的科学研究产生重大影响。 现场实时监测办法有利于立即作出决策和及时作出反应，这是建立作为环境基础设施的预警系统的关键要素。 教育的影响包括学生参加该项目的培训，研究与课程的整合，以及使用现场传感器网络测试平台的实践研究经验。 该项目期间开发的软件工具和模拟器将通过互联网提供给研究和教育界。 团队成员将利用参与大学的现有组织和计划，从代表性不足的群体中招募和指导学生。NSF和NIEHS联合资助：本项目所依据的原始提案（R 01 ES 021951 -01）已提交给美国国立环境健康科学研究院（NIH/NIEHS），以响应由NSF联合赞助的资助机会公告RFA-ES-11-013“海洋、五大湖和人类健康（R 01）"。 该项目通过NSF和NIEHS的单独奖励合作资助。