Evidence map›Paper›PMID 41313475›Full record

ArticleMikrochimica acta2025

Efficient thin-film microextraction of selected pesticides from fruit samples: utilizing MXene@UiO-66-NH

Seyedeh Bentolhoda Hosseinian, Milad Ghani, Jahan Bakhsh Raoof

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

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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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Seyedeh Bentolhoda HosseinianDepartment of Analytical Chemistry, Faculty of Chemistry, University of Mazandaran, Babolsar, Iran.
Milad GhaniDepartment of Analytical Chemistry, Faculty of Chemistry, University of Mazandaran, Babolsar, Iran. m.ghani@umz.ac.ir.
Jahan Bakhsh RaoofElectroanalytical Chemistry Research Laboratory, Department of Analytical Chemistry, Faculty of Chemistry, University of Mazandaran, Babolsar, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The design and fabrication of a novel MXene@UiO-66-NH2 composite immobilized on a cellulose support is presented. The prepared MXene@UiO-66-NH2-cellulose film has been utilized as an efficient platform for the simultaneous thin-film microextraction (TFME) of tebuconazole and bensulfuron-methyl in selected real fruit samples, including nectarine, pear, tangerine, and watermelon. The hybrid sorbent combines the high surface area and tunable porosity of UiO-66-NH2 with the layered structure and abundant surface functionalities of MXene, resulting in enhanced surface area (301.25 m2g− 1) and tunable porosity. Under optimized extraction condition, the proposed method exhibited excellent analytical performance, including low limits of detection (LODs: 0.02–0.03 µg L− 1) and limits of quantification (LOQs: 0.07–0.09 µg L− 1), wide linear dynamic ranges (LDRs: 0.10–100.00 µg L− 1, coefficient of determination (R²) >0.9973), and acceptable enrichment factors (EFs: 43.5–60.4). The method also showed outstanding precision (relative standard deviations (%RSDs): 2.6–6.4%) and absolute recoveries (ARs: 36.2–50.3%) across all tested matrices, confirming reliable extraction of trace-level pesticide residues. To assess sustainability, the Blue Applicability Grade Index (BAGI) and Analytical Greenness Metric for Sample Preparation (AGREEprep) were applied, yielding scores of 82.50 and 0.74, respectively. These results highlight the method’s environmental compatibility and practical applicability. Compared with existing MXene-based sorbents, the developed TFME platform demonstrated superior extraction efficiency and reusability, emphasizing its potential for routine food safety monitoring and environmental residue analysis.

Indexed as

2D lamellar membraneMXenePesticidesThin film microextractionUiO-66-NH2

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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.