Evidence map›Paper›PMID 37110949›Full record

ArticleNanomaterials (Basel, Switzerland)2023

A Fast-Response Ultraviolet Phototransistor with a PVK QDs/ZnO Nanowire Heterostructure and Its Application in Pharmaceutical Solute Detection.

Jiajun Li, Qihua Guo, Ye Tao, Dalin Li, Yiting Yang, Dandan Zhou, Jiangyong Pan, Xiang Liu, Zhi Tao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2023. 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

9 authors.

Jiajun LiSchool of Electronics & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Qihua GuoSchool of Electronics & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Ye TaoSchool of Electronics & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Dalin LiSchool of Electronics & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Yiting YangSchool of Electronics & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Dandan ZhouCollege of Light Industry and Food Engineering, Nanjing Forestry University, Nanjing 210037, China.
Jiangyong PanSchool of Electronics & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Xiang LiuSchool of Electronics & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Zhi TaoSchool of Electronics & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.ORCID 0000-0002-2270-4450

Funding

Suzhou Gusu Innovation and Entrepreneurship Leading Talents Program ZXL2021303
6 · The paper itself

Abstract

The sensitivity and photoelectric noise of UV photodetectors are challenges that need to be overcome in pharmaceutical solute detection applications. This paper presents a new device concept for a CsPbBr3 QDs/ZnO nanowire heterojunction structure for phototransistors. The lattice match of the CsPbBr3 QDs and ZnO nanowire reduces the generation of trap centers and avoids carrier absorption by the composite center, which greatly improves the carrier mobility and high detectivity (8.13 × 10

Indexed as

pharmaceutical solute detectionphototransistorPVK quantum dotsZnO nanowire

Identifiers

PMID37110949
PMCPMC10142717

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.