Evidence map›Paper›PMID 36127603›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Quantitative Organic Acids in Urine by Two-Dimensional Gas Chromatography-Time-of-Flight Mass Spectrometry (GCxGC-TOFMS).

Erland Arning, Paula Ashcraft, Jeanna Bennett-Firmin, Lawrence Sweetman

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Erland ArningInstitute of Metabolic Disease, Baylor Scott & White Research Institute, Dallas, TX, USA. Erland.Arning@BSWHealth.org.
Paula AshcraftInstitute of Metabolic Disease, Baylor Scott & White Research Institute, Dallas, TX, USA.
Jeanna Bennett-FirminInstitute of Metabolic Disease, Baylor Scott & White Research Institute, Dallas, TX, USA.
Lawrence SweetmanInstitute of Metabolic Disease, Baylor Scott & White Research Institute, Dallas, TX, USA.
Baylor Medical Center at Garland · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seventy-six organic acids in urine specimens are determined with quantitative two-dimensional gas chromatography-time-of-flight mass spectrometry (GCxGC-TOFMS). The specimen is treated with urease to remove urea and then derivatized to form pentafluorobenzyl oximes (PFBO) of oxo-acids. The sample is then treated with ethyl alcohol to precipitate proteins and centrifuged. After drying the supernatant, the organic acids are derivatized to form volatile trimethylsilyl (TMS) derivatives for separation by capillary two-dimensional gas chromatography (GCxGC) with temperature programming and modulation. Detection is by time-of-flight mass spectrometry (TOFMS) with identification of the organic acids by their mass spectra. Organic acids are quantitated by peak areas of reconstructed ion chromatograms with internal standards and calibration curves. Organic acids are quantified to determine abnormal patterns for the diagnosis of more than 100 inherited disorders of organic acid metabolism. Characteristic abnormal metabolites are quantified to monitor dietary and other modes of treatment for patients who are diagnosed with specific organic acid disorders.

Indexed as

Organic ChemicalsUreaseEthanolGas Chromatography-Mass SpectrometryHumansMass SpectrometryUreaEthanolOrganic ChemicalsUreaUreaseTime-of-flight mass spectrometryTrimethylsilyl derivativesTwo-dimensional gas chromatographyUrine organic acids

Identifiers

PMID36127603
OpenAlexW4296809115

What OpenQuestion holds

Textmetadata
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.