Evidence map›Paper›PMID 27644966›Full record

ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2016

Quantitative mass spectrometry of unconventional human biological matrices.

Ewelina P Dutkiewicz, Pawel L Urban

Abstract read
In one paragraph

Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
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  6. Analysis of Cannabinoids in Biological Specimens: An Update.International journal of environmental research and public health · 2023
    Review
  7. Review
  8. Article
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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

2 authors.

Ewelina P DutkiewiczDepartment of Applied Chemistry, National Chiao Tung University, 1001 University Rd, Hsinchu 300, Taiwan.ORCID http://orcid.org/0000-0002-8852-4188
Pawel L UrbanDepartment of Applied Chemistry, National Chiao Tung University, 1001 University Rd, Hsinchu 300, Taiwan Institute of Molecular Science, National Chiao Tung University, 1001 University Rd, Hsinchu 300, Taiwan plurban@nctu.edu.tw.ORCID http://orcid.org/0000-0003-3471-045X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of sensitive and versatile mass spectrometric methodology has fuelled interest in the analysis of metabolites and drugs in unconventional biological specimens. Here, we discuss the analysis of eight human matrices-hair, nail, breath, saliva, tears, meibum, nasal mucus and skin excretions (including sweat)-by mass spectrometry (MS). The use of such specimens brings a number of advantages, the most important being non-invasive sampling, the limited risk of adulteration and the ability to obtain information that complements blood and urine tests. The most often studied matrices are hair, breath and saliva. This review primarily focuses on endogenous (e.g. potential biomarkers, hormones) and exogenous (e.g. drugs, environmental contaminants) small molecules. The majority of analytical methods used chromatographic separation prior to MS; however, such a hyphenated methodology greatly limits analytical throughput. On the other hand, the mass spectrometric methods that exclude chromatographic separation are fast but suffer from matrix interferences. To enable development of quantitative assays for unconventional matrices, it is desirable to standardize the protocols for the analysis of each specimen and create appropriate certified reference materials. Overcoming these challenges will make analysis of unconventional human biological matrices more common in a clinical setting.This article is part of the themed issue 'Quantitative mass spectrometry'.

Indexed as

Clinical Chemistry TestsForensic SciencesHumansMass SpectrometrySpecimen HandlingToxicologyclinical analysishyphenated techniquesmass spectrometrynon-invasive samplingtoxicology

Identifiers

PMID27644966
PMCPMC5031645

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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.