Evidence map›Paper›PMID 35695876›Full record

ArticleChemSusChem2022

Photocatalyzed Functionalization of Alkenoic Acids in 3D-Printed Reactors.

Alexandra Jorea, Davide Ravelli, Rodrigo M Romarowski, Stefania Marconi, Ferdinando Auricchio, Maurizio Fagnoni

Abstract read
In one paragraph

Article in ChemSusChem, 2022. 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

6 authors.

Alexandra JoreaDepartment of Clinical Surgery, Diagnostics and Pediatrics, Fondazione IRCCS Policlinico San Matteo, Viale Brambilla 74, 27100, Pavia, Italy.ORCID http://orcid.org/0000-0001-5200-2735
Davide RavelliPhotoGreen Lab, Department of Chemistry, University of Pavia, Viale Taramelli 12, 27100, Pavia, Italy.ORCID http://orcid.org/0000-0003-2201-4828
Rodrigo M RomarowskiComputational Mechanics and Advanced Materials Group, University of Pavia, Via Ferrata 3, 27100, Pavia, Italy.
Stefania MarconiComputational Mechanics and Advanced Materials Group, University of Pavia, Via Ferrata 3, 27100, Pavia, Italy.
Ferdinando AuricchioComputational Mechanics and Advanced Materials Group, University of Pavia, Via Ferrata 3, 27100, Pavia, Italy.ORCID http://orcid.org/0000-0002-3735-2400
Maurizio FagnoniPhotoGreen Lab, Department of Chemistry, University of Pavia, Viale Taramelli 12, 27100, Pavia, Italy.ORCID http://orcid.org/0000-0003-0247-7585

Funding

DSF (Digital Smart Fluidics): Fluidica Digitale per le Scienze della Vita 1175234POR FESR 2014-2020 programThe Regional Operational Programme of the European Regional Development FundThe Regional Operational Programme of the European Regional Development Fund 1175234University of Pavia
6 · The paper itself

Abstract

The valorization of alkenoic acids possibly deriving from biomass (fumaric and citraconic acids) was carried out through conversion in important building blocks, such as γ-keto acids and succinic acid derivatives. The functionalization was carried out by addition onto the C=C double bond of radicals generated under photocatalyzed conditions from suitable hydrogen donors (mainly aldehydes) and by adopting a decatungstate salt as the photocatalyst. Syntheses were performed under batch (in a glass vessel) and flow (by using 3D-printed reactors) conditions. The design of the latter reactors allowed for an improved yield and productivity.

Indexed as

AldehydesHydrogenBiomassPrinting, Three-DimensionalAldehydesHydrogen3D-printed reactorscarboxylic acidsflow chemistryphotocatalysisradical reactions

Identifiers

PMID35695876
PMCPMC9543820

What OpenQuestion holds

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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.