Evidence map›Paper›PMID 42890002›Full record

ReviewACS omega2026

Metal-Organic Frameworks as Tunable Sorbents for Food Sample Preparation.

Maria Chrysanthi Kafentzi, Grigorios Papageorgiou, Christina Nannou, Kalliopi Ladomenou

Abstract readReview
In one paragraph

Review in ACS omega, 2026. 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

4 authors.

Maria Chrysanthi KafentziHephaestus Laboratory, School of Chemistry, Faculty of Sciences, Democritus University of Thrace, GR-65404 Kavala, Greece.
Grigorios PapageorgiouHephaestus Laboratory, School of Chemistry, Faculty of Sciences, Democritus University of Thrace, GR-65404 Kavala, Greece.
Christina NannouHephaestus Laboratory, School of Chemistry, Faculty of Sciences, Democritus University of Thrace, GR-65404 Kavala, Greece.ORCID https://orcid.org/0000-0002-9153-1127
Kalliopi LadomenouHephaestus Laboratory, School of Chemistry, Faculty of Sciences, Democritus University of Thrace, GR-65404 Kavala, Greece.ORCID https://orcid.org/0000-0002-8508-1369

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trace-level chemical contamination across globalized food supply chains demands efficient, selective, and sustainable sample preparation strategies for reliable analytical monitoring. Metal-organic frameworks (MOFs) are crystalline porous materials constructed from metal nodes and multitopic organic linkers that have recently emerged as engineered sorbents capable of complementing conventional extraction media, particularly in terms of selectivity, surface area, and compatibility with green analytical chemistry principles. This review critically examines the deployment of MOFs and MOF-based composites as sorbents across the full spectrum of food sample preparation formats, including solid-phase extraction (SPE), magnetic SPE (MSPE), dispersive SPE (d-SPE), miniaturized variants (pipette-tip SPE, d-μ-SPE), solid-phase microextraction (SPME), stir bar sorptive extraction (SBSE), and QuEChERS-based cleanup. Distinct from prior overviews focused primarily on materials chemistry, this review adopts a food-analysis perspective with an explicit translational lens, distinguishing analytically mature applications from those still at the proof-of-concept stage. The physicochemical properties that govern MOF performance in food matrices, like framework chemistry (Zr, Al, Cr, Zn, Fe, Ln), pore architecture, surface functionality, and hydrolytic stability, are discussed in relation to the predominant extraction mechanisms operative for key contaminant classes, including pesticides, mycotoxins, veterinary drugs, polycyclic aromatic hydrocarbons (PAHs), per- and polyfluoroalkyl substances (PFAS), and heavy metals. Representative applications report recoveries typically within 70-120%, LOQs reaching the ng kg

Identifiers

PMID42890002
PMCPMC13670812

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.