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Gundry L, Kennedy G, Keith J, Robinson M, Gavaghan D, Bond AM, Zhang J. A Comparison of Bayesian Inference Strategies for Parameterisation of Large Amplitude AC Voltammetry Derived from Total Current and Fourier Transformed Versions. ChemElectroChem 2021. [DOI: 10.1002/celc.202100391] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Luke Gundry
- School of Chemistry Monash University Clayton Vic. 3800 Australia
| | - Gareth Kennedy
- School of Chemistry Monash University Clayton Vic. 3800 Australia
| | - Jonathan Keith
- School of Mathematics Monash University Clayton Vic. 3800 Australia
| | - Martin Robinson
- Department of Computer Science University of Oxford, Wolfson Building Parks Road Oxford OX1 3QD United Kingdom
| | - David Gavaghan
- Department of Computer Science University of Oxford, Wolfson Building Parks Road Oxford OX1 3QD United Kingdom
| | - Alan M. Bond
- School of Chemistry Monash University Clayton Vic. 3800 Australia
| | - Jie Zhang
- School of Chemistry Monash University Clayton Vic. 3800 Australia
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Gundry L, Guo SX, Kennedy G, Keith J, Robinson M, Gavaghan D, Bond AM, Zhang J. Recent advances and future perspectives for automated parameterisation, Bayesian inference and machine learning in voltammetry. Chem Commun (Camb) 2021; 57:1855-1870. [PMID: 33529293 DOI: 10.1039/d0cc07549c] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Advanced data analysis tools such as mathematical optimisation, Bayesian inference and machine learning have the capability to revolutionise the field of quantitative voltammetry. Nowadays such approaches can be implemented routinely with widely available, user-friendly modern computing languages, algorithms and high speed computing to provide accurate and robust methods for quantitative comparison of experimental data with extensive simulated data sets derived from models proposed to describe complex electrochemical reactions. While the methodology is generic to all forms of dynamic electrochemistry, including the widely used direct current cyclic voltammetry, this review highlights advances achievable in the parameterisation of large amplitude alternating current voltammetry. One significant advantage this technique offers in terms of data analysis is that Fourier transformation provides access to the higher order harmonics that are almost devoid of background current. Perspectives on the technical advances needed to develop intelligent data analysis strategies and make them generally available to users of voltammetry are provided.
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Affiliation(s)
- Luke Gundry
- School of Chemistry, Monash University, Clayton, Vic. 3800, Australia.
| | - Si-Xuan Guo
- School of Chemistry, Monash University, Clayton, Vic. 3800, Australia.
| | - Gareth Kennedy
- School of Chemistry, Monash University, Clayton, Vic. 3800, Australia.
| | - Jonathan Keith
- School of Mathematics, Monash University, Clayton, Vic. 3800, Australia
| | - Martin Robinson
- Department of Computer Science, University of Oxford, Wolfson Building, Parks Road, Oxford, OX1 3QD, UK
| | - David Gavaghan
- Department of Computer Science, University of Oxford, Wolfson Building, Parks Road, Oxford, OX1 3QD, UK
| | - Alan M Bond
- School of Chemistry, Monash University, Clayton, Vic. 3800, Australia.
| | - Jie Zhang
- School of Chemistry, Monash University, Clayton, Vic. 3800, Australia.
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Konishi T, Kodani K, Hasegawa T, Ogo S, Guo SX, Boas JF, Zhang J, Bond AM, Ueda T. Impact of the Lithium Cation on the Voltammetry and Spectroscopy of [XVM 11O 40] n- (X = P, As ( n = 4), S ( n = 3); M = Mo, W): Influence of Charge and Addenda and Hetero Atoms. Inorg Chem 2020; 59:10522-10531. [PMID: 32786655 DOI: 10.1021/acs.inorgchem.0c00876] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Polyoxometalates (POMs) have been proposed as electromaterials for lithium-based batteries because they provide access to multiple electron transfer reactions coupled to fast lithium ion transport processes and high stability over many redox cycles. Consequently, knowledge of reversible potentials and Li+ cation-POM anion interactions provides a strategic basis for their further development. In this study, detailed cyclic voltammetric studies of a series of [XVVM11O40]n- (XVM11n-) POMs (where X (heteroatom) = P (n = 4), As (n = 4), and S (n = 3) and M (addenda atom) = Mo, W) have been undertaken in CH3CN in the presence of LiClO4, with n-Bu4NPF6 also present when required to keep the ionic strength close to constant value of 0.1 M. An analysis of the data has allowed the impact of the POM charge, and addenda and hetero atoms on the reversible potentials and the interaction between Li+ and the oxidized XVVM11n- and reduced XVIVM11(n+1)- forms of the VV/IV redox couple to be determined. The SVV/IVM113-/4- process is independent of the Li+ concentration, implying the absence of the association of this cation with either SVVM113- or SVIVM114- redox levels. However, lithium-ion association constants for both VV and VIV redox levels were obtained from a comparison of simulated and experimental cyclic voltammograms for the reduction of the more negatively charged XVVM114- (X = P, As; M = Mo, W), since the Li+ interaction with these more negatively charged POMs is much stronger. The interaction between Li+ and the oxidized, XVVM11n-, and reduced, XVIVM11(n+1)-, forms was also investigated by 51V NMR and EPR spectroscopy, respectively, and it was confirmed that, due to their lower charge density, SVVM113- and SVIVM114- interact significantly less strongly with the lithium ion than XVVM114- and XVIVM115- (X = P, As). The lithium-POM association constants are substantially smaller than the corresponding proton association constants reported previously, which is attributed to a smaller surface charge density. The much stronger impact of Li+ on the WVI/V- and MoVI/V-based reductions that occur at more negative potentials than the VV/IV process also has been qualitatively evaluated.
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Affiliation(s)
- Toru Konishi
- Department of Applied Science, Faculty of Science, Kochi University, Kochi 780-8520, Japan
| | - Keisuke Kodani
- Department of Applied Science, Faculty of Science, Kochi University, Kochi 780-8520, Japan
| | - Takuya Hasegawa
- Institute of Multidisciplinary Research for Advanced Materials (IMRAM), Tohoku University, Sendai, Miyagi 980-8577, Japan
| | - Shuhei Ogo
- Department of Marine Resources Science, Faculty of Agriculture and Marine Science, Kochi University, Nankoku, Kochi 783-8502, Japan
| | - Si-Xuan Guo
- School of Chemistry, and ARC Centre of Excellence for Electromaterials Science, Monash University, Clayton, Victoria 3800, Australia
| | - John F Boas
- School of Physics and Astronomy, Monash University, Clayton, Victoria 3800, Australia
| | - Jie Zhang
- School of Chemistry, and ARC Centre of Excellence for Electromaterials Science, Monash University, Clayton, Victoria 3800, Australia
| | - Alan M Bond
- School of Chemistry, and ARC Centre of Excellence for Electromaterials Science, Monash University, Clayton, Victoria 3800, Australia
| | - Tadaharu Ueda
- Department of Marine Resources Science, Faculty of Agriculture and Marine Science, Kochi University, Nankoku, Kochi 783-8502, Japan.,Center for Advanced Marine Core Research, Kochi University, Nankoku, Kochi 783-8502, Japan
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