Evidence map›Paper›PMID 40211089›Full record

ArticleDrug testing and analysis2025

Optimization of Parallel Artificial Liquid Membrane Extraction for the Determination of Over 50 Psychoactive Substances in Oral Fluid Through UHPLC-MS/MS.

Martina Croce, Camilla Montesano, Ilenia Bracaglia, Francesco Bartolini, Marcello Mascini, Dario Compagnone, Manuel Sergi

Abstract read
In one paragraph

Article in Drug testing and analysis, 2025. 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 drug chemistry, 2022-2025.Forensic science international. Synergy · 2026
    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.

Martina CroceDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Camilla MontesanoDepartment of Chemistry, Sapienza University of Rome, Rome, Italy.ORCID https://orcid.org/0000-0001-7721-4961
Ilenia BracagliaDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Francesco BartoliniDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Marcello MasciniDepartment of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Teramo, Italy.
Dario CompagnoneDepartment of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Teramo, Italy.
Manuel SergiDepartment of Chemistry, Sapienza University of Rome, Rome, Italy.

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca CUP B85F21004800001Ministero dell'Istruzione, dell'Università e della Ricerca DOT1326YBR-2Sapienza Università di Roma
6 · The paper itself

Abstract

Over the past decade, there has been a diversification of the psychoactive substances available among drug users, resulting in the expansion of a dynamic market of synthetic molecules that are challenging for drug of abuse testing. Multiclass analytical methods are useful to deal with these new psychoactive substances (NPS), but sample preparation can be difficult and generate significant amounts of chemical waste. The aim of this work was the development of a high-throughput microextraction method for the determination of 56 drugs belonging to different pharmacological classes in oral fluid (OF), including both traditional drugs and NPS. In the proposed workflow, the OF sample is cleaned-up by parallel artificial liquid membrane extraction (PALME) and analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Two hundred microliters of OF are mixed with 1800 μL of carbonate buffer 0.5 M (pH 12) and 0.4 g of sodium chloride and inserted into a donor plate; the acceptor plate embed a dodecylacetate-supported liquid membrane and an acceptor solution composed of 50 μL formic acid 0.1% in H2O: MeOH, 80:20 (v/v); the whole assemblage is placed on an orbital shaker for 120 min for extraction. A full factorial design has been employed for extraction optimization to make it suitable for LC-MS/MS. The developed method is an example of green chemistry and may be used for screening and quantitative purposes, with limits of detection ranging from 0.01 to 1.5 ng mL

Indexed as

Liquid Phase MicroextractionPsychotropic DrugsSalivaSubstance Abuse DetectionTandem Mass SpectrometryChromatography, High Pressure LiquidHumansLimit of DetectionMembranes, ArtificialMembranes, ArtificialPsychotropic Drugsfull factorial designliquid chromatography‐mass spectrometryoral fluidparallel assisted liquid membrane extractionpsychoactive substances

Identifiers

PMID40211089
PMCPMC12489298

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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.