Literature DB >> 30901516

Voltammetric Determination of the Stochastic Formation Rate and Geometry of Individual H2, N2, and O2 Bubble Nuclei.

Martin A Edwards1, Henry S White1, Hang Ren2.   

Abstract

Herein, we report a general voltammetric method to characterize the electrochemical nucleation rate and nuclei of single nanobubbles. Bubble nucleation is indicated by a sharp peak in the current in the voltammetry of gas-evolving reactions. In contrast to expectations based on the stochastic nature of nucleation events, the peak current signifying a stable nucleus is extremely reproducible over hundreds of cycles (∼3% deviation). By applying classical nucleation theory, this seemingly deterministic behavior can be not only understood but also used to quantify the nucleation rate and size of bubble nuclei. A statistical model is developed whereby properties of single critical nuclei (contact angle, the radius of curvature, activation energy, and Arrhenius pre-exponential factor) can be readily measured from the narrow distribution of peak currents (mean, standard deviation) from hundreds of voltammetric cycles at a nanoelectrode. Single nanobubbles formed from gas-evolving reactions (H2 from H+ reduction, N2 from N2H4 oxidation, O2 from H2O2 oxidation) are analyzed to find that their critical nuclei have contact angles of ∼150, ∼160, and ∼154° for H2, N2, and O2, respectively, corresponding to ∼50, ∼40, and ∼90 gas molecules in each nucleus. The energy barriers for heterogeneous nucleation of H2, N2, and O2 bubbles are, respectively, 2, 0.4, and 0.7% of those required for homogeneous nucleation under the same supersaturation.

Entities:  

Keywords:  activation energy; contact angle; nanoelectrode; nucleation; single-entity electrochemistry; survival analysis

Year:  2019        PMID: 30901516     DOI: 10.1021/acsnano.9b01015

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  3 in total

1.  Direct measuring of single-heterogeneous bubble nucleation mediated by surface topology.

Authors:  Xiaoli Deng; Yun Shan; Xiaohui Meng; Zhaoyang Yu; Xiaoxi Lu; Yunqing Ma; Jiao Zhao; Dong Qiu; Xianren Zhang; Yuwen Liu; Qianjin Chen
Journal:  Proc Natl Acad Sci U S A       Date:  2022-07-12       Impact factor: 12.779

2.  Stochasticity in Single-Entity Electrochemistry.

Authors:  Hang Ren; Martin A Edwards
Journal:  Curr Opin Electrochem       Date:  2020-09-06

3.  Nanobubble-controlled nanofluidic transport.

Authors:  Jake Rabinowitz; Elizabeth Whittier; Zheng Liu; Krishna Jayant; Joachim Frank; Kenneth Shepard
Journal:  Sci Adv       Date:  2020-11-13       Impact factor: 14.136

  3 in total

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