Evidence map›Paper›PMID 34208182›Full record

ArticleToxins2021

Determination of Urinary Mycotoxin Biomarkers Using a Sensitive Online Solid Phase Extraction-UHPLC-MS/MS Method.

Jessica Schmidt, Benedikt Cramer, Paul C Turner, Rebecca J Stoltzfus, Jean H Humphrey, Laura E Smith, Hans-Ulrich Humpf

Open access · goldAbstract read
In one paragraph

Article in Toxins, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.6field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
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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

7 authors at 5 institutions in 2 countries.

Jessica SchmidtInstitute of Food Chemistry, Westfälische Wilhelms-Universität Münster, Corrensstraße 45, 48149 Münster, Germany.
Benedikt CramerInstitute of Food Chemistry, Westfälische Wilhelms-Universität Münster, Corrensstraße 45, 48149 Münster, Germany.ORCID 0000-0001-7632-8676
Paul C TurnerMaryland Institute for Applied Environmental Health, School of Public Health, University of Maryland, College Park, MD 20742, USA.
Rebecca J StoltzfusGoshen College, 1700 S. Main Street, Goshen, IN 46526, USA.
Jean H HumphreyDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
Laura E SmithDepartment of Population Medicine and Diagnostics, Cornell University, Ithaca, NY 14850, USA.
Hans-Ulrich HumpfInstitute of Food Chemistry, Westfälische Wilhelms-Universität Münster, Corrensstraße 45, 48149 Münster, Germany.ORCID 0000-0003-3296-3058
University of Münster · DECornell University · USGoshen College · USJohns Hopkins University · USUniversity of Maryland, College Park · US

Funding

Bill and Melinda Gates Foundation OPP1021542 and OPP1066264NIH HHS 2R01HD060338-06Swiss Agency for Development and CooperationUNICEF PCA-2017-0002United Kingdom Department for International DevelopmentWellcome Trust 093768/Z/10/Z, 108065/Z/15/Z and 203905/Z/16/Z
6 · The paper itself

Abstract

In the course of assessing the human exposure to mycotoxins, biomarker-based approaches have proven to be important tools. Low concentration levels, complex matrix compositions, structurally diverse analytes, and the large size of sample cohorts are the main challenges of analytical procedures. For that reason, an online solid phase extraction-ultra high-performance liquid chromatography-tandem mass spectrometry (online SPE-UHPLC-MS/MS) method was developed, allowing for the sensitive, robust, and rapid analysis of 11 relevant mycotoxins and mycotoxin metabolites in human urine. The included spectrum of analytes comprises aflatoxin M

Indexed as

Biological MonitoringBiomarkersChromatography, High Pressure LiquidFemaleHumansMycotoxinsSolid Phase ExtractionTandem Mass SpectrometryBiomarkersMycotoxinsbiomonitoringHPLC-MS/MSmetabolitemycotoxinonline solid phase extractionurine

Identifiers

PMID34208182
PMCPMC8230879
OpenAlexW3172149451

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.