Evidence map›Paper›PMID 37868362›Full record

ArticleACS measurement science au2023

Can Single Cell Respiration be Measured by Scanning Electrochemical Microscopy (SECM)?

Kelsey Cremin, Gabriel N Meloni, Dimitrios Valavanis, Orkun S Soyer, Patrick R Unwin

Open access · goldAbstract read
In one paragraph

Article in ACS measurement science au, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

4 citing papers in PubMed, 16 citations in OpenAlex.

  1. A Reaction-Diffusion Frame for Accessing Metabolic OAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  2. Article
  3. Review
  4. CytochromeProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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

5 authors at 1 institution in 1 country.

Kelsey CreminBio-Electrical Engineering Innovation Hub, Department of Chemistry, Molecular Analytical Science Centre for Doctoral Training (MAS CDT), School of Life Sciences, the University of Warwick, Coventry CV4 7AL, United Kingdom.
Gabriel N MeloniBio-Electrical Engineering Innovation Hub, Department of Chemistry, Molecular Analytical Science Centre for Doctoral Training (MAS CDT), School of Life Sciences, the University of Warwick, Coventry CV4 7AL, United Kingdom.ORCID https://orcid.org/0000-0002-2950-2464
Dimitrios ValavanisBio-Electrical Engineering Innovation Hub, Department of Chemistry, Molecular Analytical Science Centre for Doctoral Training (MAS CDT), School of Life Sciences, the University of Warwick, Coventry CV4 7AL, United Kingdom.ORCID https://orcid.org/0000-0002-8777-664X
Orkun S SoyerBio-Electrical Engineering Innovation Hub, Department of Chemistry, Molecular Analytical Science Centre for Doctoral Training (MAS CDT), School of Life Sciences, the University of Warwick, Coventry CV4 7AL, United Kingdom.ORCID https://orcid.org/0000-0002-9504-3796
Patrick R UnwinBio-Electrical Engineering Innovation Hub, Department of Chemistry, Molecular Analytical Science Centre for Doctoral Training (MAS CDT), School of Life Sciences, the University of Warwick, Coventry CV4 7AL, United Kingdom.ORCID https://orcid.org/0000-0003-3106-2178
University of Warwick · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultramicroelectrode (UME), or, equivalently, microelectrode, probes are increasingly used for single-cell measurements of cellular properties and processes, including physiological activity, such as metabolic fluxes and respiration rates. Major challenges for the sensitivity of such measurements include: (i) the relative magnitude of cellular and UME fluxes (manifested in the current); and (ii) issues around the stability of the UME response over time. To explore the extent to which these factors impact the precision of electrochemical cellular measurements, we undertake a systematic analysis of measurement conditions and experimental parameters for determining single cell respiration rates via the oxygen consumption rate (OCR) in single HeLa cells. Using scanning electrochemical microscopy (SECM), with a platinum UME as the probe, we employ a self-referencing measurement protocol, rarely employed in SECM, whereby the UME is repeatedly approached from bulk solution to a cell, and a short pulse to oxygen reduction reaction (ORR) potential is performed near the cell and in bulk solution. This approach enables the periodic tracking of the bulk UME response to which the near-cell response is repeatedly compared (referenced) and also ensures that the ORR near the cell is performed only briefly, minimizing the effect of the electrochemical process on the cell. SECM experiments are combined with a finite element method (FEM) modeling framework to simulate oxygen diffusion and the UME response. Taking a realistic range of single cell OCR to be 1 × 10

Identifiers

PMID37868362
PMCPMC10588932
OpenAlexW4383749697

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.