Evidence map›Paper›PMID 41144861›Full record

ArticleChemSusChem2025

Transfer Hydrogenation with Waste-Derived Aqueous Solutions of Formic Acid Catalysed by the SulfoShvo Catalyst.

Justus Diekamp, Milan D Kulaš, Jakob Albert, Thomas Seidensticker

Abstract read
In one paragraph

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

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. Article
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.

Justus DiekampDepartment for Biochemical and Chemical Engineering, Laboratory of Industrial Chemistry, TU Dortmund University, Emil-Figge-Straße 66, 44227, Dortmund, Germany.ORCID https://orcid.org/0000-0002-0534-0747
Milan D KulašDepartment for Biochemical and Chemical Engineering, Laboratory of Industrial Chemistry, TU Dortmund University, Emil-Figge-Straße 66, 44227, Dortmund, Germany.ORCID https://orcid.org/0000-0001-6931-4620
Jakob AlbertInstitute of Technical and Macromolecular Chemistry, University of Hamburg, Bundesstraße 45, 20146, Hamburg, Germany.ORCID https://orcid.org/0000-0002-3923-2269
Thomas SeidenstickerDepartment for Biochemical and Chemical Engineering, Laboratory of Industrial Chemistry, TU Dortmund University, Emil-Figge-Straße 66, 44227, Dortmund, Germany.ORCID https://orcid.org/0000-0003-0191-4421

Funding

Fachagentur Nachwachsende Rohstoffe 2219NR355
6 · The paper itself

Abstract

The OxFA process provides aqueous formic acid (FA) solutions of around 53 wt% directly from biomass-derived byproducts such as glycerol. The direct utilisation of this diluted FA stream in transfer hydrogenation reactions without neutralisation or buffering is demonstrated, enabled by the highly hydrophilic, acid-stable sulfoShvo catalyst operating at pH 1. Using levulinic acid (LA) as a model substrate, optimisation in pressure autoclaves identified 130 °C and catalyst loadings as low as 0.2 mol% as effective reaction conditions. Even under these harsh acidic conditions, the catalyst displays remarkable performance: at 100 °C, long-term stability is achieved with a turnover number (TON) of 3680, while operation at 130 °C allows efficient hydrogenation but reveals gradual deactivation at very low loadings (0.025 mol%). Beyond LA, a range of water-soluble carbonyl and olefinic substrates is successfully hydrogenated, highlighting the broad applicability of this sustainable approach. Overall, this study establishes the OxFA/sulfoShvo system as a robust and atom-economical strategy for the direct use of biomass-derived FA solutions in catalytic hydrogenation.

Indexed as

biomasshomogeneous catalysisreductionrenewable resourcesruthenium

Identifiers

PMID41144861
PMCPMC12703433

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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.