Evidence map›Paper›PMID 38294348›Full record

ArticleAnalytical chemistry2024

Development of an Online Isotope Dilution CE/ICP-MS Method for the Quantification of Sulfur in Biological Compounds.

Dariya Tukhmetova, Jan Lisec, Jochen Vogl, Björn Meermann

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

4 authors at 1 institution in 1 country.

Dariya TukhmetovaFederal Institute for Materials Research and Testing (BAM), Division 1.1─Inorganic Trace Analysis, Richard-Willstätter-Str. 11, 12489 Berlin, Germany.
Jan LisecFederal Institute for Materials Research and Testing (BAM), Division 1.7─Organic Trace and Food Analysis, Richard-Willstätter-Str. 11, 12489 Berlin, Germany.ORCID 0000-0003-1220-2286
Jochen VoglFederal Institute for Materials Research and Testing (BAM), Division 1.1─Inorganic Trace Analysis, Richard-Willstätter-Str. 11, 12489 Berlin, Germany.ORCID 0000-0002-0104-748X
Björn MeermannFederal Institute for Materials Research and Testing (BAM), Division 1.1─Inorganic Trace Analysis, Richard-Willstätter-Str. 11, 12489 Berlin, Germany.ORCID 0000-0002-8636-0765
Federal Institute For Materials Research and Testing · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report an analytical methodology for the quantification of sulfur in biological molecules via a species-unspecific postcolumn isotope dilution (online ID) approach using capillary electrophoresis (CE) coupled online with inductively coupled plasma-mass spectrometry (online ID CE/ICP-MS). The method was optimized using a mixture of standard compounds including sulfate, methionine, cysteine, cystine, and albumin, yielding compound recoveries between 98 and 105%. The quantity of sulfur is further converted to the quantity of the compounds owing to the prior knowledge of the sulfur content in the molecules. The limit of detection and limit of quantification of sulfur in the compounds were 1.3-2.6 and 4.1-8.4 mg L

Indexed as

ProteinsSulfurAlbuminsAnimalsCattleElectrophoresis, CapillaryHumansIsotopesMass SpectrometryAlbuminsIsotopesProteinsSulfur

Identifiers

PMID38294348
PMCPMC10902813
OpenAlexW4391403308

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.