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Hard Potato: A Python Library to Control Commercial Potentiostats and to Automate Electrochemical Experiments
[Image: see text] Here, we develop and show the use of an open-source Python library to control commercial potentiostats. It standardizes the commands for different potentiostat models, opening the possibility to perform automated experiments independently of the instrument used. At the time of this...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10034742/ https://www.ncbi.nlm.nih.gov/pubmed/36888926 http://dx.doi.org/10.1021/acs.analchem.2c04862 |
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author | Rodríguez, Oliver Pence, Michael A. Rodríguez-López, Joaquín |
author_facet | Rodríguez, Oliver Pence, Michael A. Rodríguez-López, Joaquín |
author_sort | Rodríguez, Oliver |
collection | PubMed |
description | [Image: see text] Here, we develop and show the use of an open-source Python library to control commercial potentiostats. It standardizes the commands for different potentiostat models, opening the possibility to perform automated experiments independently of the instrument used. At the time of this writing, we have included potentiostats from CH Instruments (models 1205B, 1242B, 601E, and 760E) and PalmSens (model Emstat Pico), although the open-source nature of the library allows for more to be included in the future. To showcase the general workflow and implementation of a real experiment, we have automated the Randles–Ševčík methodology to determine the diffusion coefficient of a redox-active species in solution using cyclic voltammetry. This was accomplished by writing a Python script that includes data acquisition, data analysis, and simulation. The total run time was 1 min and 40 s, well below the time it would take even an experienced electrochemist to apply the methodology in a traditional manner. Our library has potential applications that expand beyond the automation of simple repetitive tasks; for example, it can interface with peripheral hardware and well-established third-party Python libraries as part of a more complex and intelligent setup that relies on laboratory automation, advanced optimization, and machine learning. |
format | Online Article Text |
id | pubmed-10034742 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-100347422023-03-24 Hard Potato: A Python Library to Control Commercial Potentiostats and to Automate Electrochemical Experiments Rodríguez, Oliver Pence, Michael A. Rodríguez-López, Joaquín Anal Chem [Image: see text] Here, we develop and show the use of an open-source Python library to control commercial potentiostats. It standardizes the commands for different potentiostat models, opening the possibility to perform automated experiments independently of the instrument used. At the time of this writing, we have included potentiostats from CH Instruments (models 1205B, 1242B, 601E, and 760E) and PalmSens (model Emstat Pico), although the open-source nature of the library allows for more to be included in the future. To showcase the general workflow and implementation of a real experiment, we have automated the Randles–Ševčík methodology to determine the diffusion coefficient of a redox-active species in solution using cyclic voltammetry. This was accomplished by writing a Python script that includes data acquisition, data analysis, and simulation. The total run time was 1 min and 40 s, well below the time it would take even an experienced electrochemist to apply the methodology in a traditional manner. Our library has potential applications that expand beyond the automation of simple repetitive tasks; for example, it can interface with peripheral hardware and well-established third-party Python libraries as part of a more complex and intelligent setup that relies on laboratory automation, advanced optimization, and machine learning. American Chemical Society 2023-03-08 /pmc/articles/PMC10034742/ /pubmed/36888926 http://dx.doi.org/10.1021/acs.analchem.2c04862 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Rodríguez, Oliver Pence, Michael A. Rodríguez-López, Joaquín Hard Potato: A Python Library to Control Commercial Potentiostats and to Automate Electrochemical Experiments |
title | Hard Potato:
A Python Library to Control Commercial
Potentiostats and to Automate Electrochemical Experiments |
title_full | Hard Potato:
A Python Library to Control Commercial
Potentiostats and to Automate Electrochemical Experiments |
title_fullStr | Hard Potato:
A Python Library to Control Commercial
Potentiostats and to Automate Electrochemical Experiments |
title_full_unstemmed | Hard Potato:
A Python Library to Control Commercial
Potentiostats and to Automate Electrochemical Experiments |
title_short | Hard Potato:
A Python Library to Control Commercial
Potentiostats and to Automate Electrochemical Experiments |
title_sort | hard potato:
a python library to control commercial
potentiostats and to automate electrochemical experiments |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10034742/ https://www.ncbi.nlm.nih.gov/pubmed/36888926 http://dx.doi.org/10.1021/acs.analchem.2c04862 |
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