Evidence map›Paper›PMID 42584302›Full record

ArticleNanomaterials (Basel, Switzerland)2026

Rare-Earth-Modified Copper-Oxalate-Derived CuO Nanostructures for Rapid Methyl Orange Photodegradation Under Simulated Solar Irradiation.

Hangning Wang, Rifath Bin Hossain, Yanling Yang, Mengran Wu, Xinyu Dai, Fengxiang Qin

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 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

6 authors.

Hangning WangSchool of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.ORCID 0009-0001-0971-3555
Rifath Bin HossainSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.ORCID 0009-0004-3185-4014
Yanling YangFujian Key Laboratory of Flexible Electronics, Strait Institute of Flexible Electronics (SIFE Future Technologies), Fujian Normal University, Fuzhou 350117, China.
Mengran WuSchool of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Xinyu DaiSchool of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Fengxiang QinSchool of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.

Funding

National Natural Science Foundation of China 52371157 and 51671106
6 · The paper itself

Abstract

Efficient photocatalytic degradation of azo dyes requires coordinated control of nanostructure, surface chemical environment, and interfacial charge transport. In this work, rare-earth-modified copper-oxalate-derived CuO nanostructures (RE = Ce, Sm, Er, Tm, and Yb) were prepared through hydrothermal synthesis of a copper oxalate precursor, followed by calcination and ultrasonic-assisted RE modification. Structural, spectroscopic, optical, and electrochemical analyses show RE-associated apparent lattice perturbation, modified surface oxygen environments, stronger visible-region optical responses, higher apparent majority-carrier-density descriptors, and lower fitted interfacial charge-transfer resistance relative to pristine CuO. Among the samples, Ce-CuO exhibited the best performance, with a band gap of 1.48 eV, an apparent majority-carrier density of (1.94 ± 0.04) × 10

Indexed as

copper-oxalate-derived CuOinterfacial charge transferrare-earth modulationsimulated solar photocatalysis

Identifiers

PMID42584302
PMCPMC13468492

What OpenQuestion holds

Textmetadata
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.