Alden Sasha E, Zhang Lingjie, Wang Yunong, Lavrik Nickolay V, Thorgaard Scott N, Baker Lane A
Department of Chemistry, Texas A&M University, College Station, Texas 77843, United States.
Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oakridge, Tennessee 37830, United States.
Anal Chem. 2024 Jun 4;96(22):9177-9184. doi: 10.1021/acs.analchem.4c01092. Epub 2024 May 23.
We describe micro- and nanoelectrode array analysis with an automated version of the array microcell method (AMCM). Characterization of hundreds of electrodes, with diameters ranging from 100 nm to 2 μm, was carried out by using AMCM voltammetry and chronoamperometry. The influence of solvent evaporation on mass transport in the AMCM pipette and the resultant electrochemical response were investigated, with experimental results supported by finite element method simulations. We also describe the application of AMCM to high-throughput single-entity electrochemistry in measurements of stochastic nanoparticle impacts. Collision experiments recorded 3270 single-particle events from 671 electrodes. Data collection parameters were optimized to enable these experiments to be completed in a few hours, and the collision transient sizes were analyzed with a U-Net deep learning model. Elucidation of collision transient sizes by histograms from these experiments was enhanced due to the large sample size possible with AMCM.
我们描述了使用阵列微池方法(AMCM)的自动化版本进行微电极和纳米电极阵列分析。通过使用AMCM伏安法和计时电流法对数百个直径范围从100纳米到2微米的电极进行了表征。研究了溶剂蒸发对AMCM移液管中传质的影响以及由此产生的电化学响应,有限元方法模拟支持了实验结果。我们还描述了AMCM在高通量单实体电化学中用于测量随机纳米颗粒撞击的应用。碰撞实验记录了来自671个电极的3270个单粒子事件。优化了数据收集参数,使这些实验能够在几小时内完成,并使用U-Net深度学习模型分析了碰撞瞬态大小。由于AMCM可以实现大样本量,这些实验的直方图对碰撞瞬态大小的阐释得到了增强。