Evidence map›Paper›PMID 38905017›Full record

ArticleJournal of analytical toxicology2024

Electromembrane extraction of drugs of abuse and prescription drugs from micropulverized hair.

Maria Schüller, Marianne Skov-Skov Bergh, Stig Pedersen-Bjergaard, Elisabeth Leere Øiestad

Abstract read
In one paragraph

Article in Journal of analytical toxicology, 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
–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

3 citing papers in PubMed.

  1. Interpol review of forensic toxicology, 2023-2025.Forensic science international. Synergy · 2026
    Review
  2. Interpol review of forensic drug chemistry, 2022-2025.Forensic science international. Synergy · 2026
    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.

Maria SchüllerDepartment of Pharmacy, University of Oslo, Oslo 0316, Norway.ORCID 0000-0002-2072-4810
Marianne Skov-Skov BerghDepartment of Forensic Sciences, Division of Laboratory Medicine, Oslo University Hospital, Oslo 0424, Norway.
Stig Pedersen-BjergaardDepartment of Pharmacy, University of Oslo, Oslo 0316, Norway.
Elisabeth Leere ØiestadDepartment of Pharmacy, University of Oslo, Oslo 0316, Norway.ORCID 0000-0003-0781-6865

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hair analysis can provide chronological insights into past drug use for months to years after drug administration. In comparison to analyses from other biological matrices, such as blood and urine, sample pretreatment is often tedious and not environmental friendly. In this study, we present a more environmental friendly approach to hair analysis using micropulverized hair and electromembrane extraction for the efficient extraction of 15 drugs of abuse, prescription drugs, and metabolites from hair. The optimized extraction method, involving micropulverization, demonstrated comparable yields to the standard approach of cutting and overnight incubation. A 15-min extraction method using a commercial electromembrane extraction prototype was developed and validated according to forensic guidelines, using only 10 µL of organic solvent per sample. The final method, employing HPLC-MS-MS with a biphenyl column, exhibited good linearity, precision, and sensitivity. An AgreePrep assessment comparing the environmental impact of our method with the standard routine method, involving overnight incubation and conventional liquid-liquid extraction, was conducted. This is the first time micropulverized hair has been subjected to electromembrane extraction.

Indexed as

HairIllicit DrugsSubstance Abuse DetectionTandem Mass SpectrometryChromatography, High Pressure LiquidElectrochemical TechniquesForensic ToxicologyHumansLimit of DetectionLiquid-Liquid ExtractionPrescription DrugsReproducibility of ResultsSolventsIllicit DrugsPrescription DrugsSolvents

Identifiers

PMID38905017
PMCPMC11336399

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Registered trials

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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.