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UK - Long-term field trial of BioElectrochemical System Sensor (BES Sensor) for monitoring of Water Quality in real-time

英国 - 用于实时监测水质的生物电化学系统传感器（BES传感器）的长期现场试验

基本信息

批准号：
NE/R009473/1
负责人：
Ian Head
金额：
$ 12.01万
依托单位：
Newcastle University
依托单位国家：
英国
项目类别：
Research Grant
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

来源：
https://gtr.ukri.org/projects?ref=NE%2FR009473%2F1
关键词：
UK Long term field trial

项目摘要

A water quality biosensor will be comprehensively tested in real-world conditions, progressing towards Technology Readiness Level TRL 7 (demonstration in an operating environment at pre-commercial scale). The prototype sensor under development has arisen as a result from previous projects funded by NERC, EPSRC and BBSRC/IUK. Bioelectrochemical Systems (BES) technology, incorporating an electrode-supported microbial biofilm which generates electricity from oxidation of organics, has great potential for low-cost, real-time sensing applications. The magnitude of the electrical current generated correlates with the biodegradable organic loading (e.g. Biochemical Oxygen Demand; BOD) and conversely the signal is inhibited when toxic compounds are present. Using a novel configuration of multi-stage BES sensors developed by Newcastle University, the sensor is capable of measuring an extended BOD range and can explicitly distinguish BOD and toxicity events. The sensor will be used to monitor organic load/BOD and toxicity levels in real-time on wastewater provisioned from a real-world, wastewater treatment plant (WWTP). Long-term monitoring data will be collected over one year and used to inform design and build of a combined sensor package, which will propel the technology towards commercial realisation.

水质生物传感器将在现实条件下进行全面测试，并逐步达到技术准备水平TRL 7（在商业化前的操作环境中进行演示）。正在开发的原型传感器是由NERC，EPSRC和BBSRC/IUK资助的先前项目的结果。生物电化学系统（BES）技术，结合了电极支撑的微生物生物膜，从有机物的氧化产生电力，具有低成本，实时传感应用的巨大潜力。产生的电流的大小与生物可降解的有机负载（例如生化需氧量; BOD）相关，并且相反地，当存在有毒化合物时，信号被抑制。该传感器采用纽卡斯尔大学开发的多级BES传感器的新配置，能够测量扩展的BOD范围，并能够明确区分BOD和毒性事件。该传感器将用于实时监测从现实世界的废水处理厂（WWTP）提供的废水的有机负荷/BOD和毒性水平。长期监测数据将在一年内收集，并用于设计和构建组合传感器包，这将推动该技术走向商业实现。