Evidence map›Paper›PMID 39347554›Full record

ArticleElectrophoresis2025

Online Isotope Analysis of Sulfur in Proteins via Capillary Electrophoresis Coupled With Multicollector ICP-MS (CE/MC-ICP-MS): A Proof of Concept Study.

Dariya Tukhmetova, Nicole Langhammer, Jochen Vogl, Björn Meermann

Abstract read
In one paragraph

Article in Electrophoresis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Dariya TukhmetovaDivision 1.1-Inorganic Trace Analysis, Federal Institute for Materials Research and Testing (BAM), Berlin, Germany.
Nicole LanghammerDivision 1.1-Inorganic Trace Analysis, Federal Institute for Materials Research and Testing (BAM), Berlin, Germany.
Jochen VoglDivision 1.1-Inorganic Trace Analysis, Federal Institute for Materials Research and Testing (BAM), Berlin, Germany.
Björn MeermannDivision 1.1-Inorganic Trace Analysis, Federal Institute for Materials Research and Testing (BAM), Berlin, Germany.ORCID 0000-0002-8636-0765

Funding

Deutsche ForschungsgemeinschaftME 3685/5-1 440953647
6 · The paper itself

Abstract

Isotope ratio analysis of sulfur in biological samples using inductively coupled plasma-mass spectrometry (ICP-MS) has gained significant interest for applications in quantitative proteomics. Advancements like coupling separation techniques with multicollector ICP-MS (MC-ICP-MS) enhance the throughput of species-specific sulfur isotope ratio measurements, fostering new avenues for studying sulfur metabolism in complex biological matrices. This proof-of-concept study investigates the feasibility of online CE/MC-ICP-MS for directly analyzing sulfur isotope ratios in proteins (albumin). Leveraging our previous work on the applicability of CE/ICP-MS for quantifying sulfur-containing biological molecules, we explore its potential for sulfur isotope analysis. Our results demonstrate that direct analysis of sulfur isotopes in albumin protein using online capillary electrophoresis MC-ICP-MS (CE/MC-ICP-MS) eliminates the need for laborious pretreatment steps, while yielding isotope ratios comparable to the reference values. Although initial precision can be improved through further system optimization and protein injection techniques, this approach paves the way for future analysis of mixtures of various biological compounds in, for example, clinical diagnosis studies.

Indexed as

Mass SpectrometrySulfur IsotopesAnimalsElectrophoresis, CapillaryHumansProof of Concept StudySulfur IsotopesCE/MC‐ICP‐MSisotope analysissulfur

Identifiers

PMID39347554
PMCPMC11952278

What OpenQuestion 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 OpenQuestion graph.