Evidence map›Paper›PMID 34820090›Full record

ArticleChemical science2021

Quantification of the charge transport processes inside carbon nanopipettes.

Rujia Liu, Yingfei Ma, Xiaoyue Shen, Dengchao Wang

Abstract read
In one paragraph

Article in Chemical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Rujia LiuSchool of Chemical Sciences, University of Chinese Academy of Sciences Beijing 10049 P. R. China wangdengchao@ucas.ac.cn.
Yingfei MaSchool of Chemical Sciences, University of Chinese Academy of Sciences Beijing 10049 P. R. China wangdengchao@ucas.ac.cn.
Xiaoyue ShenSchool of Chemical Sciences, University of Chinese Academy of Sciences Beijing 10049 P. R. China wangdengchao@ucas.ac.cn.
Dengchao WangSchool of Chemical Sciences, University of Chinese Academy of Sciences Beijing 10049 P. R. China wangdengchao@ucas.ac.cn.ORCID https://orcid.org/0000-0002-4909-7830

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Identifiers

PMID34820090
PMCPMC8597862

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.