Cobalt-modified graphitic carbon nitride nanosheets for the photocatalytic degradation of diclofenac.

Junyan Pan, Luyao Sun, Ekaterina Kozlova, Binhong Qu, Yang Qu

Abstract read

In one paragraph

Article in Frontiers in chemistry, 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.

Junyan Pan *Key Laboratory of Functional Inorganic Materials Chemistry (Ministry of Education), School of Chemistry and Materials Science, International Joint Research Center and Lab for Catalytic Technology, Heilongjiang University, Harbin, China.

Luyao Sun *Key Laboratory of Functional Inorganic Materials Chemistry (Ministry of Education), School of Chemistry and Materials Science, International Joint Research Center and Lab for Catalytic Technology, Heilongjiang University, Harbin, China.

Ekaterina KozlovaFederal Research Center, Boreskov Institute of Catalysis, Novosibirsk, Russia.

Binhong QuKey Laboratory of Functional Inorganic Materials Chemistry (Ministry of Education), School of Chemistry and Materials Science, International Joint Research Center and Lab for Catalytic Technology, Heilongjiang University, Harbin, China.

Yang QuKey Laboratory of Functional Inorganic Materials Chemistry (Ministry of Education), School of Chemistry and Materials Science, International Joint Research Center and Lab for Catalytic Technology, Heilongjiang University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diclofenac (DCF), as a challenging new type of pollutant, is resistant to removal by photocatalysis due to the poor visible-light utilization and sluggish charge separation. In this study, cobalt (Co) modified graphitic carbon nitride (3Co/CCN) was successfully synthesized using a cyanuric acid (CA)-induced dispersion of cobalt phthalocyanine (CoPc) within urea through mechanochemical method and the subsequent thermal polymerization route. Under visible-light irradiation, the 3Co/CCN displayed 2.8 times higher DCF photodegradation than that of CCN, accompanied by a 21.4-fold enhancement in reaction kinetics rate. It also demonstrated excellent photocatalytic performance in complex environmental conditions with notable photocatalytic stability. The incorporation of Co species (Co

Indexed as

charge separationcobalt speciesdiclofenacg-C3N4 nanosheetvisible-light degradation

Identifiers

PMID42577585

DOI10.3389/fchem.2026.1901405

PMCPMC13454458

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.