Evidence map›Paper›PMID 35092038›Full record

ArticleBiomedical chromatography : BMC2022

Development and validation of an LC-MS/MS method for the quantification of artificial sweeteners in human matrices.

Eva Greibe, Magnus Leth-Møller, Sofie Stampe, Per Ovesen, Michael Pedersen, Elke Hoffmann-Lücke

Open access · hybridAbstract read
In one paragraph

Article in Biomedical chromatography : BMC, 2022. 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
0.9field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

6 authors at 2 institutions in 1 country.

Eva GreibeDepartment of Clinical Biochemistry, Aarhus University Hospital, and Institute for Clinical Medicine, Health, Aarhus University, Denmark.ORCID https://orcid.org/0000-0002-0417-1195
Magnus Leth-MøllerComparative Medicine Laboratory, Aarhus University, Denmark.
Sofie StampeComparative Medicine Laboratory, Aarhus University, Denmark.
Per OvesenDepartment of Gynecology and Obstetrics, Aarhus University Hospital, Steno Diabetes Centre Aarhus, and Institute for Clinical Medicine, Health, Aarhus University, Denmark.
Michael PedersenComparative Medicine Laboratory, Aarhus University, Denmark.
Elke Hoffmann-LückeDepartment of Clinical Biochemistry, Aarhus University Hospital, and Institute for Clinical Medicine, Health, Aarhus University, Denmark.
Aarhus University · DKAarhus University Hospital · DK

Funding

A.P. Møllers FoundationDepartment of Clinical Biochemistry, Aarhus University HospitalHelga and Peter Kornings FoundationNovo Nordisk FoundationP. Carl Petersens Foundation
6 · The paper itself

Abstract

Artificial sweeteners are widely used as substitutes for sugar. The sweeteners are generally considered safe, however their whereabouts during pregnancy and lactation and the effect on child development are poorly explored. There is a need for new tools to measure these substances during pregnancy and lactation. Here, we describe the development and validation of a sensitive liquid chromatography-tandem mass spectrometry method for the simultaneous quantification of acesulfame, cyclamate, saccharin and sucralose in human plasma, umbilical cord blood, amniotic fluid and breast milk. The samples were prepared by protein precipitation and separated on a Luna Omega Polar C

Indexed as

Milk, HumanSweetening AgentsTandem Mass SpectrometryChromatography, LiquidFemaleHumansPregnancyReproducibility of ResultsSweetening Agentsartificial sweethenerslactationLC-MS/MSmethod validationpregnancy

Identifiers

PMID35092038
PMCPMC9285464
OpenAlexW4210711885

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.