Evidence map›Paper›PMID 39931681›Full record

ReviewBeilstein journal of organic chemistry2025

Red light excitation: illuminating photocatalysis in a new spectrum.

Lucas Fortier, Corentin Lefebvre, Norbert Hoffmann

Abstract readReview
In one paragraph

Review in Beilstein journal of organic chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Deep red photocatalysisChemical science · 2026
    Article
  4. Review
  5. Article
  6. Photocatalysis and photochemistry in organic synthesis.Beilstein journal of organic chemistry · 2025
    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

3 authors.

Lucas FortierUnité de Catalyse et de Chimie du Solide (UCCS), University of Lille, CNRS, University of Artois UMR 8181, Avenue Mendeleiev, 59655 Villeneuve d'Ascq CEDEX, France.
Corentin LefebvreLaboratory of Glycochemistry and Agroressources of Amiens (LG2A), University of Picardie Jules Verne UR 7378, 10 rue Baudelocque, 80000 Amiens, France.ORCID https://orcid.org/0000-0001-5358-102X
Norbert HoffmannInstitute of Physics and Chemistry of Materials of Strasbourg (IPCMS), University of Strasbourg UMR 7504, 23 rue du Loess, BP 43, 67034 Strasbourg CEDEX 2, France.ORCID https://orcid.org/0000-0002-8615-7476

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Red-light-activated photocatalysis has become a powerful approach for achieving sustainable chemical transformations, combining high efficiency with energy-saving, mild conditions. By harnessing the deeper penetration and selectivity of red and near-infrared light, this method minimizes the side reactions typical of higher-energy sources, making it particularly suited for large-scale applications. Recent advances highlight the unique advantages of both metal-based and metal-free catalysts under red-light irradiation, broadening the range of possible reactions, from selective oxidations to complex polymerizations. In biological contexts, red-light photocatalysis enables innovative applications in phototherapy and controlled drug release, exploiting its tissue penetration and low cytotoxicity. Together, these developments underscore the versatility and impact of red-light photocatalysis, positioning it as a cornerstone of green organic chemistry with significant potential in synthetic and biomedical fields.

Indexed as

green chemistrymedicinal chemistryorganic photochemistryphotocatalysisred-light mediated transformations

Identifiers

PMID39931681
PMCPMC11809576

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.