Evidence map›Paper›PMID 42080157›Full record

ArticleRSC advances2026

Spectroscopic, electrochemical, thermodynamic and theoretical insights into solvent effects for the intensification of the modified OxFA process.

Jan-Dominik H Krueger, Pegah Saedi, Maximilian J Poller, Dzmitry H Zaitsau, Riko Siewert, David Robinson, Karsten Müller, Jakob Albert

Abstract read
In one paragraph

Article in RSC advances, 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

8 authors.

Jan-Dominik H KruegerInstitute of Technical and Macromolecular Chemistry, Universität Hamburg Bundesstrasse 45 20146 Hamburg Germany jakob.albert@uni-hamburg.de.
Pegah SaediInstitute of Technical and Macromolecular Chemistry, Universität Hamburg Bundesstrasse 45 20146 Hamburg Germany jakob.albert@uni-hamburg.de.
Maximilian J PollerInstitute of Technical and Macromolecular Chemistry, Universität Hamburg Bundesstrasse 45 20146 Hamburg Germany jakob.albert@uni-hamburg.de.ORCID https://orcid.org/0000-0002-7146-131X
Dzmitry H ZaitsauLehrstuhl für Technische Thermodynamik, Universität Rostock Albert-Einstein-Str. 2, Haus 1 18059 Rostock Germany.ORCID https://orcid.org/0000-0002-4002-7019
Riko SiewertLehrstuhl für Technische Thermodynamik, Universität Rostock Albert-Einstein-Str. 2, Haus 1 18059 Rostock Germany.ORCID https://orcid.org/0000-0001-8017-0322
David RobinsonDepartment of Chemistry and Forensics, School of Science and Technology, Nottingham Trent University Clifton Lane Nottingham NG11 8NS UK.ORCID https://orcid.org/0000-0003-2760-7163
Karsten MüllerLehrstuhl für Technische Thermodynamik, Universität Rostock Albert-Einstein-Str. 2, Haus 1 18059 Rostock Germany.ORCID https://orcid.org/0000-0002-7205-1953
Jakob AlbertInstitute of Technical and Macromolecular Chemistry, Universität Hamburg Bundesstrasse 45 20146 Hamburg Germany jakob.albert@uni-hamburg.de.ORCID https://orcid.org/0000-0002-3923-2269

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Producing short-chain carboxylic acids like formic acid (FA) from biomass in the OxFA process is a promising strategy for a green and sustainable chemical industry. Herein, we employed spectroscopic (NMR, UV-vis, and GC-MS), electrochemical (CV and SWV), and thermodynamic (gas solubility) measurements in combination with theoretical modelling by DFT for rationalizing the dominating effects of co-solvents on the catalytic efficiency of xylose oxidation to FA in the modified OxFA process catalyzed by H

Identifiers

PMID42080157
PMCPMC13130882

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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.