Evidence map›Paper›PMID 40442756›Full record

ArticleBMC chemistry2025

Mixed hemimicelle dispersive solid-phase extraction of methamphetamine from urine by ionic liquid coated silica nanoparticles.

Sepideh Boyaghchi, Arezou Taghvimi, Samin Hamidi, Siavoush Dastmalchi, Asrin Pakravan, Yousef Javadzadeh

Abstract read
In one paragraph

Article in BMC chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

6 authors.

Sepideh Boyaghchi *Biotechnology Research Center, and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.
Arezou Taghvimi *Biotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Samin Hamidi *Research Center of Psychiatry and Behavioral Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
Siavoush DastmalchiBiotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Asrin PakravanDrug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Yousef JavadzadehBiotechnology Research Center, and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran. Javadzadehy@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regarding the increasing trend of methamphetamine consumption in society, identifying and measuring low levels of methamphetamine in biological matrices is of great importance for clinical and forensic laboratories. Coated ionic liquid silica nanoparticles (CILSNPs) are appropriate adsorbent candidates to extract methamphetamine with high selectivity and sensitivity from complex urine matrix using the mixed hemimicelle dispersive solid-phase extraction (MHMDSPE) method. After successful characterization of synthesized CILSNPs by various techniques such as FTIR, XRD, SEM, and Zeta potential, the one-factor-at-a-time (OFAT) method was performed to optimize effective extraction parameters. HPLC-UV method was used to detect and quantify methamphetamines. The optimized extraction parameters were as follows: 400 µL of methanol, 10 min of extraction, 5 min of desorption time, stirring rate of 2,000 rpm, urine pH of 10, 40 mg of adsorbent, and 10 mL of urine volume. The calibration curve was plotted in the 50-2000 ng/mL concentration range, and the method was validated. The method's limit of detection (LOD) was calculated as 9 ng/mL. Analysis of addicted subjects for the proposed method proves that the method could be used in clinical and analytical laboratories to detect methamphetamine efficiently.

Indexed as

Coupled ionic liquid silica nanoparticlesHPLCMethamphetamineMixed hemimicelle dispersive solid-phase extractionUrine

Identifiers

PMID40442756
PMCPMC12123869

What OpenQuestion holds

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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.