Evidence map›Paper›PMID 37915311›Full record

ArticleBeilstein journal of nanotechnology2023

A visible-light photodetector based on heterojunctions between CuO nanoparticles and ZnO nanorods.

Doan Nhat Giang, Nhat Minh Nguyen, Duc Anh Ngo, Thanh Trang Tran, Le Thai Duy, Cong Khanh Tran, Thi Thanh Van Tran, Phan Phuong Ha La, Vinh Quang Dang

Abstract read
In one paragraph

Article in Beilstein journal of nanotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. CNT:TiONanomaterials (Basel, Switzerland) · 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

9 authors.

Doan Nhat GiangFaculty of Materials Science and Technology, University of Science, Ho Chi Minh City 70000, Vietnam.ORCID https://orcid.org/0009-0005-6734-7812
Nhat Minh NguyenFaculty of Materials Science and Technology, University of Science, Ho Chi Minh City 70000, Vietnam.
Duc Anh NgoFaculty of Materials Science and Technology, University of Science, Ho Chi Minh City 70000, Vietnam.
Thanh Trang TranFaculty of Materials Science and Technology, University of Science, Ho Chi Minh City 70000, Vietnam.
Le Thai DuyFaculty of Materials Science and Technology, University of Science, Ho Chi Minh City 70000, Vietnam.
Cong Khanh TranFaculty of Materials Science and Technology, University of Science, Ho Chi Minh City 70000, Vietnam.
Thi Thanh Van TranFaculty of Materials Science and Technology, University of Science, Ho Chi Minh City 70000, Vietnam.ORCID https://orcid.org/0000-0003-1134-6640
Phan Phuong Ha LaFaculty of Materials Science and Technology, University of Science, Ho Chi Minh City 70000, Vietnam.
Vinh Quang DangFaculty of Materials Science and Technology, University of Science, Ho Chi Minh City 70000, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optoelectronic devices have various applications in medical equipment, sensors, and communication systems. Photodetectors, which convert light into electrical signals, have gained much attention from many research teams. This study describes a low-cost photodetector based on CuO nanoparticles and ZnO nanorods operating in a wide range of light wavelengths (395, 464, 532, and 640 nm). Particularly, under 395 nm excitation, the heterostructure device exhibits high responsivity, photoconductive gain, detectivity, and sensitivity with maximum values of 1.38 A·W

Indexed as

CuO nanoparticlesheterojunctionoptoelectronicsvisible-light photodetectorZnO nanorods

Identifiers

PMID37915311
PMCPMC10616698

What OpenQuestion holds

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LicenceCC BY
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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.