Fluorescence-Enabled Electrochemical Microscopy
Fluorescence-Enabled Electrochemical Microscopy
批准号:
1505897
负责人:
Bo Zhang
金额:
$45.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-08-01 至 2018-07-31
中文摘要
华盛顿大学的张博教授在化学部化学测量与成像项目的资助下,正在开发一种新的分析显微镜方法;即荧光电化学显微镜(FEEM),用于成像瞬态动态氧化还原过程与大型电化学阵列。这项研究的一个基本概念是将电信号转换为荧光,这样光学显微镜就可以用来监测氧化还原物质,如多巴胺。该项目将发展FEEM作为理解大脑中分子运输、神经元活动和神经元间通讯的工具。通过招募妇女和代表性不足的群体成员参与这一科学来解决更广泛的影响。该项目在电化学、传感器设计和开发、显微镜、纳米制造和表征等领域提供跨学科的学生培训。电化学成像对于许多应用至关重要,例如对电极/溶液界面,催化剂筛选和神经元分泌的基本理解。以往的方法时间分辨率有限,难以研究随机氧化还原事件。该项目将通过在FEEM系统中开发和利用非常大的微电极电化学阵列来解决这些挑战。事实上,在理想情况下,这种FEEM方法应该能够同时读取数百万个微电极,以成像瞬态平行氧化还原事件。因此,本项目旨在建立FEEM作为一种有用的分析工具,可以被其他科学家在一系列学科中采用,包括神经化学、环境分析和电催化剂筛选。
英文摘要
With this award, funded by the Chemical Measurement and Imaging Program of the Chemistry Division, Professor Bo Zhang of University of Washington is developing a new analytical microscopy method; namely fluorescence-enabled electrochemical microscopy (FEEM), for imaging transient dynamic redox processes with large electrochemical arrays. A fundamental underlying concept of this research is the conversion of an electrical signal to fluorescence so that optical microscopy can be used to monitor a redox species such as dopamine. This project will develop FEEM as a tool for understanding molecular transport, neuronal activity, and neuron-neuron communication in the brain. The broader impacts are addressed through the recruitment of women and members of underrepresented groups to participate in this science. The project provides interdisciplinary student training in the areas of electrochemistry, sensor design and development, microscopy, and nanofabrication and characterization.Electrochemical imaging is vital for numerous applications such as fundamental understanding of the electrode/solution interface, catalyst screening, and neuronal secretion. Previous methods have limited temporal resolution and are difficult to study stochastic redox events. This project will address these challenges by developing and utilizing very large electrochemical arrays of microelectrodes in FEEM systems. Indeed, in the ideal, this FEEM approach should enable the simultaneous reading of millions of microelectrodes to image transient parallel redox events. As such, this project aims to establish FEEM as a useful analytical tool that could be adopted by other scientists in a range of disciplines including neurochemistry, environmental analysis, and electrocatalyst screening.
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