Super-Resolution Imaging of Surface Adsorption on Single Nanoparticles for Electrochemical Dechlorination

用于电化学脱氯的单个纳米颗粒表面吸附的超分辨率成像

基本信息

  • 批准号:
    2303933
  • 负责人:
  • 金额:
    $ 43.54万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-07-01 至 2026-06-30
  • 项目状态:
    未结题

项目摘要

With support from the Macromolecular, Supramolecular and Nanochemistry (MSN) Program in the Division of Chemistry, Professor Peng Chen of Cornell University is applying and developing high-resolution imaging approaches to quantify the adsorption behaviors on single palladium (Pd) nanoparticles of molecules involved in electrochemical hydrodechlorination reactions as well as to determine their relations to the electrochemical potential and the original Pd nanoparticle surface structure and size. Chlorinated hydrocarbons are extensively used in industrial and agricultural applications, but they are also environmental hazards. Dechlorination is a key detoxification process, for which electrochemical hydrodechlorination is more efficient and environmentally friendly by using electric power to drive reactions for which Pd nanoparticles are promising electrocatalysts. The research in the Chen group can generate fundamental knowledge that can help improve electrochemical dechlorination of chlorophenols, a large class of pollutants in aquatic environments, thus positively impact societal well-being. The imaging approaches are also generally applicable and thus can broadly impact measurement science in nanoscale materials science. For surface reactions, including electrocatalysis on nanoparticles, molecule-surface interactions are crucial. For Pd nanoparticle-catalyzed electrochemical hydrodechlorination little is known, however, about the quantitative adsorption behaviors of the chlorophenols and the product phenol on Pd surfaces, which are key steps in the electrocatalytic cycle. It is generally challenging to quantify adsorption under electrochemical reaction conditions, especially on nanoparticles, whose individuals can differ markedly in size and shape. The proposed research can provide quantitative insights into the energetics of reactant/intermediate/product adsorption on Pd nanoparticles at various applied electrochemical potentials and how they are related to the initial surface facet structure and particle size. This knowledge can guide the efforts of using dynamic electrochemical potential modulation to manipulate molecular adsorption on Pd-based electrocatalysts to improve the efficiency of electrochemical hydrodechlorination. The graduate student working on this project is gaining experience at the forefront area of single-molecule catalysis as well as in the development of novel techniques for super-resolution imaging of nonfluorescent processes by optical microscopy.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
在化学划分中的大分子,超分子和纳米化学(MSN)计划的支持下,康奈尔大学的彭陈教授正在应用和开发高分辨率成像方法,以量化对单个钯(PD)纳米的纳米级纳米的纳米属性,以确定分子的纳米元素,以确定分子的范围内部的纳米元素,以确定分子的范围内的纳米元素。以及原始的PD纳米颗粒表面结构和尺寸。氯化碳氢化合物广泛用于工业和农业应用中,但它们也是环境危害。脱氯是一个关键的排毒过程,通过使用电力来驱动PD纳米颗粒有希望的电催化剂的反应,电化学氢化氯化更有效和环保。 Chen组的研究可以产生基本知识,可以帮助改善氯苯酚的电化学脱氯,这是水生环境中的大量污染物,从而对社会健康产生了积极影响。成像方法通常也适用,因此可以广泛影响纳米级材料科学的测量科学。对于表面反应,包括纳米颗粒上的电催化,分子表面相互作用至关重要。对于PD纳米颗粒催化的电化学氢化氯化,关于氯苯酚的定量吸附行为和PD表面上的产物酚几乎没有知识,这是电催化循环的关键步骤。在电化学反应条件下,尤其是在纳米颗粒上,量化其个体的大小和形状可能明显不同的纳米颗粒上,量化吸附是一般具有挑战性的。拟议的研究可以提供对PD纳米颗粒上反应物/中间/产物吸附的能量的定量见解,这些纳米颗粒在各种应用的电化学势方面以及它们与初始表面刻面结构和粒径的相关性。这些知识可以指导使用动态电化学潜在调制来操纵基于PD的电催化剂的分子吸附以提高电化学氢化氯化的效率。 The graduate student working on this project is gaining experience at the forefront area of​​ single-molecule catalysis as well as in the development of novel techniques for super-resolution imaging of nonfluorescent processes by optical microscopy.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

暂无数据

数据更新时间:2024-06-01

Peng Chen其他文献

Conceptualizing Heritage Responsibility in World Heritage Sites: Insights from Levinas' Ethics of Responsibility
世界遗产地遗产责任的概念化:来自列维纳斯责任伦理学的见解
Patterning candle soot for light-driven actuator via Marangoni effect
通过马兰戈尼效应为光驱动执行器图案化蜡烛烟灰
  • DOI:
    10.1016/j.snb.2021.130613
    10.1016/j.snb.2021.130613
  • 发表时间:
    2021-11
    2021-11
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yu Wang;Yue Dong;Fengtong Ji;Jinchi Zhu;Peng Ma;Huiying Su;Peng Chen;Xiaojun Feng;Wei Du;Bi-Feng Liu
    Yu Wang;Yue Dong;Fengtong Ji;Jinchi Zhu;Peng Ma;Huiying Su;Peng Chen;Xiaojun Feng;Wei Du;Bi-Feng Liu
  • 通讯作者:
    Bi-Feng Liu
    Bi-Feng Liu
Research of multi-FPGA signal processor for underwater 3-D imaging sonar system
水下3D成像声纳系统多FPGA信号处理器研究
Self-templating synthesis of hierarchical porous carbon with multi-heteroatom co-doping from tea waste for high-performance supercapacitor
自模板法合成多级杂原子共掺杂多级孔碳用于高性能超级电容器
  • DOI:
    10.1016/j.est.2021.103509
    10.1016/j.est.2021.103509
  • 发表时间:
    2021-11
    2021-11
  • 期刊:
  • 影响因子:
    9.4
  • 作者:
    Qinghai Ma;Haitao Xi;Fang Cui;Jiajia Zhang;Peng Chen;Tieyu Cui
    Qinghai Ma;Haitao Xi;Fang Cui;Jiajia Zhang;Peng Chen;Tieyu Cui
  • 通讯作者:
    Tieyu Cui
    Tieyu Cui
Fabrication of high-precision reflective volume Bragg gratings
高精度反射体布拉格光栅的制作
  • DOI:
    10.1364/ao.58.002500
    10.1364/ao.58.002500
  • 发表时间:
    2019
    2019
  • 期刊:
  • 影响因子:
    1.9
  • 作者:
    Peng Chen;Yunxia Jin;Dongbing He;Junming Chen;Jiao Xu;Huifang Dai;Jingyin Zhao;Fanyu Kong;Hongbo He
    Peng Chen;Yunxia Jin;Dongbing He;Junming Chen;Jiao Xu;Huifang Dai;Jingyin Zhao;Fanyu Kong;Hongbo He
  • 通讯作者:
    Hongbo He
    Hongbo He
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前往

Peng Chen的其他基金

FRG: Collaborative Research: Variationally Stable Neural Networks for Simulation, Learning, and Experimental Design of Complex Physical Systems
FRG:协作研究:用于复杂物理系统仿真、学习和实验设计的变稳定神经网络
  • 批准号:
    2245111
    2245111
  • 财政年份:
    2023
  • 资助金额:
    $ 43.54万
    $ 43.54万
  • 项目类别:
    Continuing Grant
    Continuing Grant
Scalable Computational Methods for Large-Scale Stochastic Optimization under High-Dimensional Uncertainty
高维不确定性下大规模随机优化的可扩展计算方法
  • 批准号:
    2245674
    2245674
  • 财政年份:
    2022
  • 资助金额:
    $ 43.54万
    $ 43.54万
  • 项目类别:
    Continuing Grant
    Continuing Grant
Scalable Computational Methods for Large-Scale Stochastic Optimization under High-Dimensional Uncertainty
高维不确定性下大规模随机优化的可扩展计算方法
  • 批准号:
    2012453
    2012453
  • 财政年份:
    2020
  • 资助金额:
    $ 43.54万
    $ 43.54万
  • 项目类别:
    Continuing Grant
    Continuing Grant
Nanoscale Mapping and Manipulation of Activity on Single Catalytic Nanocrystals/Nanostructures
单催化纳米晶体/纳米结构活性的纳米级测绘和操纵
  • 批准号:
    1263736
    1263736
  • 财政年份:
    2013
  • 资助金额:
    $ 43.54万
    $ 43.54万
  • 项目类别:
    Standard Grant
    Standard Grant
Attending the NSF CBET Grantee Conference
出席 NSF CBET 受资助者会议
  • 批准号:
    1258820
    1258820
  • 财政年份:
    2012
  • 资助金额:
    $ 43.54万
    $ 43.54万
  • 项目类别:
    Standard Grant
    Standard Grant
Single-Molecule Investigation of Nanocatalysis
纳米催化的单分子研究
  • 批准号:
    0851257
    0851257
  • 财政年份:
    2009
  • 资助金额:
    $ 43.54万
    $ 43.54万
  • 项目类别:
    Standard Grant
    Standard Grant
CAREER: Bioinorganic Chemistry on a Single-Molecule Basis
职业:单分子基础上的生物无机化学
  • 批准号:
    0645392
    0645392
  • 财政年份:
    2007
  • 资助金额:
    $ 43.54万
    $ 43.54万
  • 项目类别:
    Continuing Grant
    Continuing Grant

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