Collaborative Research: Development of Anti-fouling Electrochemical Membranes for Water Treatment
合作研究:水处理防污电化学膜的开发
基本信息
- 批准号:1159764
- 负责人:
- 金额:$ 24.69万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-08-01 至 2013-10-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
1159764/115/8990 Chaplin/Elabd This NSF award by the Chemical and Biological Separations program supports work by Professors Brian Chaplin and Yossef Elabd to develop and test reactive electrochemical membranes (REMs) for water treatment applications. The novel REM acts to both filter and destroy contaminants on its service. These self-cleaning properties will allow the REM to have a long operational life without membrane fouling, and have the potential to greatly enhance the application space of membrane technologies. Work will focus on understanding the mechanisms of operation of the REMs at the fundamental level by using advanced characterization techniques. This work seeks to lay the groundwork for a new generation of reactive electrode materials that will have utility in a vast number of applications. The development of a successful REM would be a monumental step in overcoming the primary downfall of membrane separation systems (Membrane Fouling). The work proposed here has the potential to lay the groundwork for the development of REMs that can operate with minimal fouling which will result in more efficient aqueous separations. Such an accomplishment would radically change the fields of Environmental and Chemical Engineering and has broad applications in water treatment and other fields. Specifically, the proposed research is expected to contribute significantly to two main areas in water treatment: 1) membrane filtration and 2) water disinfection. The project will also result in the training and development of one graduate and several undergraduate students and will seek to increase participation of students from underrepresented groups in engineering research. The proposed work will also seek to initiate the development of a Villanova-Drexel joint NSF-REU/RET program focused on: Water-Energy Nexus: Sustainable Solutions through Materials, Engineering, and Design. This joint effort will utilize the Universities? focus on undergraduate education and will be the most efficient means of achieving community outreach in the greater Philadelphia area.
1159764/115/8990 Chaplin/Elabd由化学和生物学分离计划提供了NSF奖,支持Brian Chaplin和Yossef Elabd教授的工作,以开发和测试反应性电化学膜(REMS)用于水处理应用。小说的雷姆(Rem)既可以过滤并破坏其服务中的污染物。这些自我清洁的特性将使REM在没有膜污染的情况下具有较长的操作寿命,并有可能大大增强膜技术的应用空间。工作将专注于通过使用高级表征技术在基本层面上理解REMS的运行机理。这项工作旨在为新一代的反应性电极材料奠定基础,这些材料将在大量应用中具有实用性。成功的REM的发展将是克服膜分离系统(膜结垢)的主要倒台的巨大步骤。这里提出的工作有可能为REM的开发奠定基础,REM可以用最少的结垢运行,这将导致更有效的水分离。这样的成就将从根本上改变环境和化学工程的领域,并在水处理和其他领域中广泛应用。具体而言,拟议的研究预计将对水处理的两个主要领域产生重大贡献:1)膜过滤和2)水消毒。该项目还将导致一名研究生和几个本科生的培训和发展,并将寻求增加代表性不足小组的工程研究的学生的参与。拟议的工作还将旨在启动Villanova-Drexel联合NSF-REU/RET计划的开发,该计划的重点是:水能Nexus:通过材料,工程和设计的可持续解决方案。这种共同的努力将利用大学?专注于本科教育,将是在大费城地区实现社区宣传的最有效手段。
项目成果
期刊论文数量(0)
专著数量(0)
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专利数量(0)
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Brian Chaplin其他文献
Brian Chaplin的其他文献
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{{ truncateString('Brian Chaplin', 18)}}的其他基金
Collaborative Research: Environmental Sensing of Per and Polyfluoroalkyl Substances in Water Utilizing a Microelectrode Sensor Array Platform and Machine Learning Enabled Detection
合作研究:利用微电极传感器阵列平台和机器学习检测对水中的全氟烷基和多氟烷基物质进行环境传感
- 批准号:
2149235 - 财政年份:2022
- 资助金额:
$ 24.69万 - 项目类别:
Standard Grant
SusChEM: Collaborative Research: Development of Multifunctional Reactive Electrochemical Membranes for Biomass Recovery with Fouling Reduction, Water Reuse, and Cell Pretreatment
SusChEM:合作研究:开发用于生物质回收、减少污垢、水回用和细胞预处理的多功能反应电化学膜
- 批准号:
1604776 - 财政年份:2016
- 资助金额:
$ 24.69万 - 项目类别:
Standard Grant
CAREER: Development of Reactive Electrochemical Membranes for Sustainable Water Treatment Applications: An Integrated Research and Education Plan
职业:开发用于可持续水处理应用的反应性电化学膜:综合研究和教育计划
- 批准号:
1453081 - 财政年份:2015
- 资助金额:
$ 24.69万 - 项目类别:
Standard Grant
Collaborative Research: Development of Anti-fouling Electrochemical Membranes for Water Treatment
合作研究:水处理防污电化学膜的开发
- 批准号:
1356031 - 财政年份:2013
- 资助金额:
$ 24.69万 - 项目类别:
Standard Grant
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