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Quantification of the charge transport processes inside carbon nanopipettes

Conductive nanopipettes have been extensively used as powerful multifunctional probes for electrochemical and ion transport measurements, while the involved charge transfer processes have not been fully explored. In this paper, we use both experimental and simulation methods to de-convolute and quan...

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Detalles Bibliográficos
Autores principales: Liu, Rujia, Ma, Yingfei, Shen, Xiaoyue, Wang, Dengchao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8597862/
https://www.ncbi.nlm.nih.gov/pubmed/34820090
http://dx.doi.org/10.1039/d1sc04282c
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author Liu, Rujia
Ma, Yingfei
Shen, Xiaoyue
Wang, Dengchao
author_facet Liu, Rujia
Ma, Yingfei
Shen, Xiaoyue
Wang, Dengchao
author_sort Liu, Rujia
collection PubMed
description Conductive nanopipettes have been extensively used as powerful multifunctional probes for electrochemical and ion transport measurements, while the involved charge transfer processes have not been fully explored. In this paper, we use both experimental and simulation methods to de-convolute and quantify the respective electron transfer (ET) and ion transport (IT) contributions to the resulting current signals in carbon nanopipettes (CNPs). The results present that the current signals in CNPs are determined by ET in the case of low solution depth and long timescales, while IT becomes dominant at short timescales or high solution depth. In addition, the electrochemically and chemically irreversible ET processes in CNPs were also quantified. The elucidated and quantified charge transport processes inside CNPs will help control and optimize the IT and ET processes at the nanoscale, promoting better and broad usage of conductive nanopipettes in single-entity sensing and imaging applications.
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spelling pubmed-85978622021-11-23 Quantification of the charge transport processes inside carbon nanopipettes Liu, Rujia Ma, Yingfei Shen, Xiaoyue Wang, Dengchao Chem Sci Chemistry Conductive nanopipettes have been extensively used as powerful multifunctional probes for electrochemical and ion transport measurements, while the involved charge transfer processes have not been fully explored. In this paper, we use both experimental and simulation methods to de-convolute and quantify the respective electron transfer (ET) and ion transport (IT) contributions to the resulting current signals in carbon nanopipettes (CNPs). The results present that the current signals in CNPs are determined by ET in the case of low solution depth and long timescales, while IT becomes dominant at short timescales or high solution depth. In addition, the electrochemically and chemically irreversible ET processes in CNPs were also quantified. The elucidated and quantified charge transport processes inside CNPs will help control and optimize the IT and ET processes at the nanoscale, promoting better and broad usage of conductive nanopipettes in single-entity sensing and imaging applications. The Royal Society of Chemistry 2021-10-04 /pmc/articles/PMC8597862/ /pubmed/34820090 http://dx.doi.org/10.1039/d1sc04282c Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Liu, Rujia
Ma, Yingfei
Shen, Xiaoyue
Wang, Dengchao
Quantification of the charge transport processes inside carbon nanopipettes
title Quantification of the charge transport processes inside carbon nanopipettes
title_full Quantification of the charge transport processes inside carbon nanopipettes
title_fullStr Quantification of the charge transport processes inside carbon nanopipettes
title_full_unstemmed Quantification of the charge transport processes inside carbon nanopipettes
title_short Quantification of the charge transport processes inside carbon nanopipettes
title_sort quantification of the charge transport processes inside carbon nanopipettes
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8597862/
https://www.ncbi.nlm.nih.gov/pubmed/34820090
http://dx.doi.org/10.1039/d1sc04282c
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