Gaudin Lachlan F, Funston Alison M, Bentley Cameron L
School of Chemistry, Monash University Clayton 3800 VIC Australia
ARC Centre of Excellence in Exciton Science, Monash University Clayton 3800 VIC Australia.
Chem Sci. 2024 Apr 11;15(19):7243-7258. doi: 10.1039/d4sc00676c. eCollection 2024 May 15.
The next-generation of energy devices rely on advanced catalytic materials, especially electrocatalytic nanoparticles (NPs), to achieve the performance and cost required to reshape the energy landscape towards a more sustainable and cleaner future. It has become imperative to maximize the performance of the catalyst, both through improvement of the intrinsic activity of the NP, and by ensuring all particles are performing at the level of their capability. This requires not just a structure-function understanding of the catalytic material, but also an understanding of how the catalyst performance is impacted by its environment (substrate, ligand, ). The intrinsic activity and environment of catalytic particles on a support may differ wildly by particle, thus it is essential to build this understanding from a single-entity perspective. To achieve this herein, scanning electrochemical cell microscopy (SECCM) has been used, which is a droplet-based scanning probe technique which can encapsulate single NPs, and apply a voltage to the nanoparticle whilst measuring its resulting current. Using SECCM, single AuNPs have been encapsulated, and their activity for the borohydride oxidation reaction (BOR) is measured. A total of 268 BOR-active locations were probed (178 single particles) and a series of statistical analyses were performed in order to make the following discoveries: (1) a certain percentage of AuNPs display no BOR activity in the SECCM experiment (67.4% of single NPs), (2) visibly-similar particles display wildly varied BOR activities which cannot be explained by particle size, (3) the impact of cluster size (#NP at a single location) on a selection of diagnostic electrochemical parameters can be easily probed with SECCM, (4) exploratory statistical correlation between these parameters can be meaningfully performed with SECCM, and (5) outlying "abnormal" NP responses can be probed on a particle-by-particle basis. Each one of these findings is its own worthwhile study, yet this has been achieved with a single SECCM scan. It is hoped that this research will spur electrochemists and materials scientists to delve deeper into their substantial datasets in order to enhance the structure-function understanding, to bring about the next generation of high-performance electrocatalysts.
下一代能源设备依赖先进的催化材料,尤其是电催化纳米颗粒(NPs),以实现所需的性能和成本,从而重塑能源格局,迈向更可持续、更清洁的未来。通过提高NP的本征活性以及确保所有颗粒都发挥其最大能力,最大化催化剂的性能已变得势在必行。这不仅需要对催化材料有结构 - 功能方面的理解,还需要了解催化剂性能如何受到其环境(底物、配体等)的影响。载体上催化颗粒的本征活性和环境可能因颗粒而异,因此从单个实体的角度建立这种理解至关重要。为了在此实现这一点,使用了扫描电化学池显微镜(SECCM),它是一种基于液滴的扫描探针技术,可以封装单个NP,并在测量其产生的电流时向纳米颗粒施加电压。使用SECCM,已封装单个金纳米颗粒(AuNPs),并测量了它们对硼氢化物氧化反应(BOR)的活性。总共探测了268个具有BOR活性的位置(178个单个颗粒),并进行了一系列统计分析,以得出以下发现:(1)在SECCM实验中,一定比例的AuNPs没有显示出BOR活性(67.4%的单个NP),(2)外观相似的颗粒显示出差异极大的BOR活性,这无法用颗粒大小来解释,(3)通过SECCM可以轻松探测簇大小(单个位置的#NP)对一系列诊断电化学参数的影响,(4)使用SECCM可以对这些参数进行有意义的探索性统计相关性分析,以及(5)可以逐个颗粒地探测异常的“异常”NP响应。这些发现中的每一个本身都值得进行研究,但这是通过一次SECCM扫描实现的。希望这项研究将促使电化学家和材料科学家更深入地研究他们大量的数据,以增强对结构 - 功能的理解,从而带来下一代高性能电催化剂。