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Fluorometry for Rapid Eutrophication Status and Cyanobacteria Assessment (FRESCA)

用于快速富营养化状态和蓝藻评估的荧光测定法 (FRESCA)

基本信息

批准号：
1983680
负责人：
金额：
--
依托单位：
University of Stirling
依托单位国家：
英国
项目类别：
Studentship
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=studentship-1983680
关键词：
Fluorometry Rapid Eutrophication Status Cyanobacteria

项目摘要

Eutrophication of inland waters causes increased occurrence of cyanobacterial blooms, requiring intensive monitoring. FRESCA provides a theoretical basis, prototypes, testing and commercialisation of a low-cost mobile fluorescence sensor. The sensor exploits fluorescence excitation and emission properties of cyanobacteria, which are often poorly dealt with in fluorometers. A mechanistic interpretation of the measured signal provides unambiguous diagnosis of cyanobacteria status of natural waters.The project will include sensor prototyping (by industrial partner Chelsea Technologies Group), laboratory experiments, optical simulations (Plymouth Marine Laboratory) and performance tests and validation in nature (University of Stirling). Lab experiments will characterize diagnostic cyanobacterial fluorescence properties which the sensor will exploit, including: (A) weak millisecond-fluorescence response to saturating light at wavelengths corresponding to photosystem-I compared to photosystem-II emission [2]; (B) reversible uncoupling of phycobilisomal energy transfer under saturating light with emission shifting from 670 nm to shorter wavelengths, within minutes of exposure, and (C) weak but measurable inducibility of phycobilisomal fluorescence at 670 nm and fluorescence quenching at the phycobilisome under prolonged light exposure. These laboratory characterizations will be used to build a model of cyanobacteria fluorescence induction, in turn used to define minimum and ideal sensor specifications. These will be developed into a series of prototypes that will be tested in the field.

内陆水域的富营养化导致蓝藻水华的发生增加，需要密切监测。Fresa为低成本移动荧光传感器提供了理论基础、原型、测试和商业化。该传感器利用蓝藻的荧光激发和发射特性，这在荧光仪中往往处理得很差。对测量信号的机械解释提供了对天然水中蓝藻状况的明确诊断。该项目将包括传感器原型(由工业合作伙伴切尔西技术集团)、实验室实验、光学模拟(普利茅斯海洋实验室)以及自然界的性能测试和验证(斯特林大学)。实验室实验将描述该传感器将利用的诊断蓝藻的荧光特性，包括：(A)与光系统-II的发射相比，在与光系统-I相对应的波长处对饱和光的微弱毫秒荧光响应[2]；(B)饱和光下藻胆体能量转移的可逆解偶联，发射在暴露几分钟内从670 nm转移到更短的波长，以及(C)弱但可测量的诱导670 nm处的藻胆体荧光以及在长时间光照下藻胆体的荧光猝灭。这些实验室特征将被用来建立蓝藻荧光诱导模型，进而用于定义最低和理想的传感器规格。这些将被开发成一系列原型，并将在现场进行测试。