Evidence map›Paper›PMID 41203682›Full record

ArticleScientific reports2025

Matrix cleanup assisted extraction of phenolic pollutants from diverse wastewaters using a magnetic core shell adsorbent.

Sina Mohammad Mehri, Mir Ali Farajzadeh, Mohammad Reza Afshar Mogaddam

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
–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

0 citing papers in PubMed.

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

3 authors.

Sina Mohammad MehriDepartment of Analytical Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran.
Mir Ali FarajzadehDepartment of Analytical Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran. mafarajzadeh@yahoo.com.
Mohammad Reza Afshar MogaddamFood and Drug Safety Research Center, Pharmaceutical Sciences Institute, Tabriz University of Medical Sciences, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study introduces a novel and environmentally relevant sample preparation strategy for the trace-level determination of hazardous phenolic pollutants in complex wastewater matrices. Unlike conventional extraction methods that merely tolerate matrix interferences, this approach eliminates them before analyte extraction, improving selectivity and reliability. A magnetic core-shell metal-organic framework was employed to selectively adsorb interfering substances from real wastewater samples collected from pharmaceutical, municipal, and petrochemical sources. This material was characterized using scanning electron microscopy, transmission electron microscopy, energy-dispersive X-ray spectroscopy, X-ray diffraction, Fourier transform infrared spectroscopy, vibrating sample magnetometry, and Brunauer-Emmett-Teller surface analysis. Its magnetic responsiveness allowed for simple and rapid phase separation without the need for centrifugation. Following matrix cleanup, phenolic compounds were derivatized using acetic anhydride in the presence of sodium carbonate and extracted using a vortex-assisted liquid-liquid microextraction technique. The optimized method required minimal amounts of sorbent and organic solvents, improving its environmental sustainability and reducing laboratory waste. Coupled with gas chromatography and flame ionization detection, the method demonstrated excellent analytical performance, with relative standard deviations between 1.0 and 8.3% (for 10 µg L⁻

Indexed as

Gas chromatographyMagnetic dispersive micro solid phase extractionPhenolic compoundsVortex-assisted liquid–liquid microextractionWastewaters

Identifiers

PMID41203682
PMCPMC12594778

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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.