SusChEM: Deep Photochemical Reduction of Carbon Dioxide to Methanol
SusChEM: Deep Photochemical Reduction of Carbon Dioxide to Methanol
批准号:
1301332
负责人:
Frederick MacDonnell
金额:
$43.03万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-01 至 2017-08-31
中文摘要
点击翻译按钮获取中文摘要
英文摘要
The NSF Chemical Catalysis Program supports the efforts of Professors Frederick M. MacDonnell and Norma S. Tacconi of the University of Texas at Arlington to develop a class of molecular photocatalysts designed to drive the reduction of carbon dioxide all the way to methanol. Energy derived from fossil fuels, while central to today's economy, is not a sustainable solution to global energy needs and has potentially severe environmental consequences upon continued use. Liquid transportation fuels derived from fossil fuels are difficult to replace, however solar technologies that efficiently convert carbon dioxide (a greenhouse gas) to liquid fuels (such as methanol), could directly address this problem. This research team is using well-established ruthenium polypyridyl complexes as chromophores because of their stability, tunability, and favorable photophysical properties. These molecules are coupled with pyridine-based catalysts to obtain a deep 6-electron reduction of the carbon dioxide to methanol. Notably, despite all the advances with carbon dioxide electro- and photo-reduction with homogeneous transition metal catalysts, reduction has been limited to the two-electron reduction products (carbon monoxide or formic acid) with deeper reduction to methanol or methane conspicuously absent. The well understood ruthenium chromophore is being used to provide proof-of-concept results that establish the reaction mechanism before chromophores based on organics dyes or more earth-abundant elements are utilized. Photocatalytic activity is being studied in both aqueous (as a function of pH) and non-aqueous environments, in the presence and absence of metallic surfaces, and with various electrolytes and neutral modifiers to promote the desired reaction. Photocatalyst function is screened and interrogated using custom designed photoreactors and their catalytic efficiency is optimized by determining quantum yield and catalytic turnover as a function of reaction conditions. The technical implications of this research may help develop a carbon-neutral fuel cycle and produce a liquid fuel that requires minimal infrastructure changes to adopt. This research falls under the "SusChEM" program as it utilizes non-petroleum based resources (i.e., carbon dioxide) to produce a liquid fuel (methanol). The investigators are actively involved in K-12 education through a number of outreach programs, most notably through the development and implementation of an externally-funded "Chemistry Magic Show" run through the Science Ambassadors program in the College of Science. Over 43,400 students have seen the "Chemistry Magic Show" since its inception in 2008.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Solar Hydrogen Generation Using Supramolecular Photocatalysts
-
批准号:0911720
-
项目类别:Standard Grant
-
资助金额:$32.53万
-
财政年份:2009
-
负责人:Frederick MacDonnell
-
依托单位:
Molecular Studies and Supramolecular Organization of Multi-electron Photocatalysts for Solar Energy Conversion
-
批准号:0518649
-
项目类别:Standard Grant
-
资助金额:$38.1万
-
财政年份:2005
-
负责人:Frederick MacDonnell
-
依托单位:
Studies of Tertiary and Quaternary Structure in Rigid Abiotic Nanoscopic Assemblies
-
批准号:0101399
-
项目类别:Standard Grant
-
资助金额:$32.0万
-
财政年份:2001
-
负责人:Frederick MacDonnell
-
依托单位:
国内基金
海外基金
登录
查看更多内容
Deep Seek引导下预防肝硬化腹水患者发生腹腔感染的约翰霍普金斯循证实践模型下中医护理策略的构建研究
-
批准号:2026JJ81909
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:胡曦
-
依托单位:
基于Deep Unrolling的高分辨近红外二区荧光分子断层成像方法研究
-
批准号:12271434
-
项目类别:面上项目
-
资助金额:46万元
-
批准年份:2022
-
负责人:贺小伟
-
依托单位:
基于深度森林(Deep Forest)模型的表面增强拉曼光谱分析方法研究
-
批准号:2020A151501709
-
项目类别:省市级项目
-
资助金额:10.0万元
-
批准年份:2020
-
负责人:谢怡
-
依托单位:
面向Deep Web的数据整合关键技术研究
-
批准号:61872168
-
项目类别:面上项目
-
资助金额:62.0万元
-
批准年份:2018
-
负责人:董永权
-
依托单位:
基于Deep-learning的三江源区冰川监测动态识别技术研究
-
批准号:51769027
-
项目类别:地区科学基金项目
-
资助金额:38.0万元
-
批准年份:2017
-
负责人:张大奇
-
依托单位:
具有时序处理能力的Spiking-Deep Learning(脉冲深度学习)方法研究
-
批准号:61573081
-
项目类别:面上项目
-
资助金额:64.0万元
-
批准年份:2015
-
负责人:屈鸿
-
依托单位:
基于语义计算的海量Deep Web知识探索机制研究
-
批准号:61272411
-
项目类别:面上项目
-
资助金额:80.0万元
-
批准年份:2012
-
负责人:赵峰
-
依托单位:
Deep Web数据集成查询结果抽取与整合关键技术研究
-
批准号:61100167
-
项目类别:青年科学基金项目
-
资助金额:20.0万元
-
批准年份:2011
-
负责人:董永权
-
依托单位:
面向Deep Web的大规模知识库自动构建方法研究
-
批准号:61170020
-
项目类别:面上项目
-
资助金额:57.0万元
-
批准年份:2011
-
负责人:崔志明
-
依托单位:
Deep Web敏感聚合信息保护方法研究
-
批准号:61003054
-
项目类别:青年科学基金项目
-
资助金额:20.0万元
-
批准年份:2010
-
负责人:赵朋朋
-
依托单位: