Evidence map›Paper›PMID 42146171›Full record

ArticleACS omega2026

Beyond Treatment: Electrochemical Phenol Oxidation in Methanol under Different Cell Configurations and Its Implications for Valorization.

William Santacruz, Cristina Navas-Higuero, Cristina Saez, Artur de Jesus Motheo, Manuel Andrés Rodrigo

Abstract read
In one paragraph

Article 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

5 authors.

William SantacruzSão Carlos Institute of Chemistry, University of São Paulo, São Carlos, São Paulo 13566-590, Brazil.ORCID https://orcid.org/0000-0001-8880-270X
Cristina Navas-HigueroDepartment of Chemical Engineering, Universidad de Castilla-La Mancha, Ciudad Real 13071, Spain.
Cristina SaezDepartment of Chemical Engineering, Universidad de Castilla-La Mancha, Ciudad Real 13071, Spain.ORCID https://orcid.org/0000-0001-6652-0496
Artur de Jesus MotheoSão Carlos Institute of Chemistry, University of São Paulo, São Carlos, São Paulo 13566-590, Brazil.
Manuel Andrés RodrigoDepartment of Chemical Engineering, Universidad de Castilla-La Mancha, Ciudad Real 13071, Spain.ORCID https://orcid.org/0000-0003-2518-8436

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explores electrochemical phenol oxidation in methanolic and aqueous media as a strategy to shift adsorption-based treatments from pollutant removal toward chemical valorization. Using 3D-printed single- and divided-cell reactors with alkaline electrolytes to enhance conductivity, methanol clearly outperformed water: phenol conversions exceeded 50% after 3 h (vs <15% in water), with higher Faradaic efficiencies (>21%) and energy efficiencies up to 3-fold greater, especially in anion exchange membrane (AEM) systems. Speciation analysis revealed that methanol favors diverse, industrially relevant intermediates, including carboxylates (oxalate, malonate, succinate, tartrate, maleate) and methoxylated aromatics, whereas aqueous media predominantly formed benzoquinone and tetrahydroxybenzene, consistent with rapid hydroxyl-radical-driven mineralization. The strong influence of membrane type on phenol transport (AEM > PEM) and the distinct degradation pathways observed (hydroxylation/cleavage in water vs methoxylation/fragmentation in methanol) highlight the critical role of solvent-membrane coupling. Overall, the results demonstrate that electrochemical processing in methanol promotes the formation of identifiable value-added products, indicating potential implications for future resource-oriented wastewater treatment strategies.

Identifiers

PMID42146171
PMCPMC13177212

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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.