Evidence map›Paper›PMID 42099798›Full record

ArticleACS sustainable chemistry & engineering2026

Sustainable 3D-Printed Supports Coated with Zirconium-Based Metal-Organic Frameworks for Picolinic Herbicide Extraction.

Alejandro Gil-Aparicio, Jana Maren Glatz, Jesús Cases Díaz, Enrique Javier Carrasco-Correa, Mónica Giménez-Marqués, José Manuel Herrero-Martínez

Abstract read
In one paragraph

Article in ACS sustainable chemistry & engineering, 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

6 authors.

Alejandro Gil-AparicioDepartment of Analytical Chemistry, University of Valencia, Av. Vicent Andrés Estellés, 19, Burjassot, Valencia 46100, Spain.
Jana Maren GlatzInstituto de Ciencia Molecular, University of Valencia, C/Catedrático José Beltrán Martínez, 2, Paterna, Valencia 46980, Spain.
Jesús Cases DíazInstituto de Ciencia Molecular, University of Valencia, C/Catedrático José Beltrán Martínez, 2, Paterna, Valencia 46980, Spain.
Enrique Javier Carrasco-CorreaDepartment of Analytical Chemistry, University of Valencia, Av. Vicent Andrés Estellés, 19, Burjassot, Valencia 46100, Spain.ORCID https://orcid.org/0000-0002-5580-559X
Mónica Giménez-MarquésInstituto de Ciencia Molecular, University of Valencia, C/Catedrático José Beltrán Martínez, 2, Paterna, Valencia 46980, Spain.ORCID https://orcid.org/0000-0002-4931-5711
José Manuel Herrero-MartínezDepartment of Analytical Chemistry, University of Valencia, Av. Vicent Andrés Estellés, 19, Burjassot, Valencia 46100, Spain.ORCID https://orcid.org/0000-0002-8745-3795

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metal-organic frameworks (MOFs) offer outstanding potential for pollutant extraction; however, their practical use is often hindered by difficulties in handling and recovery. Herein, we report a sustainable MOF-based extraction platform that integrates 3D-printed supports fabricated from poly-(lactic acid) and pine wood residues with zirconium-based MOFs grown via a green in situ synthesis. Postprinting surface functionalization enabled the stable immobilization of UiO-66-derived MOFs, selected for their strong affinity toward picolinic herbicides (PHs). The resulting UiO-66-OH@3D-printed device demonstrated high extraction efficiencies (73-107%), excellent sensitivity (limits of detection of 0.0016-0.0032 μg L

Indexed as

3D printingfused deposition modelinggreen UiO-66 synthesismetal−organic frameworkspicolinic herbicidessustainable fabrication

Identifiers

PMID42099798
PMCPMC13148721

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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.