Evidence map›Paper›PMID 35009335›Full record

ArticleMaterials (Basel, Switzerland)2021

Alcohol Sensor Based on Surface Plasmon Resonance of ZnO Nanoflowers/Au Structure.

Haowen Xu, Yutong Song, Panpan Zhu, Wanli Zhao, Tongyu Liu, Qi Wang, Tianming Zhao

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Surface Plasmon Resonance Sensor Based on FeSensors (Basel, Switzerland) · 2024
    Article
  2. Review
  3. Plasmonic Nanostructure Biosensors: A Review.Sensors (Basel, Switzerland) · 2023
    Review
  4. Article
  5. Design and Simulation of Au/SiOSensors (Basel, Switzerland) · 2023
    Article
  6. Article
  7. Article
  8. 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

7 authors.

Haowen XuCollege of Sciences, Northeastern University, Shenyang 110819, China.
Yutong SongCollege of Sciences, Northeastern University, Shenyang 110819, China.
Panpan ZhuCollege of Sciences, Northeastern University, Shenyang 110819, China.
Wanli ZhaoScience and Technology on Electro-Optical Information Security Control Laboratory, Tianjin 300308, China.
Tongyu LiuScience and Technology on Electro-Optical Information Security Control Laboratory, Tianjin 300308, China.
Qi WangCollege of Sciences, Northeastern University, Shenyang 110819, China.
Tianming ZhaoCollege of Sciences, Northeastern University, Shenyang 110819, China.ORCID 0000-0001-9685-7671

Funding

Fundamental Research Funds for the Central Universities N2105011
6 · The paper itself

Abstract

Alcohol detection plays a key role in food processing and monitoring. Therefore, we present a fast, high reproducibility and label-free characteristics alcohol photochemical sensor based on the surface plasmon resonance (SPR) effect. By growing ZnO nanoflowers on Au film, the SPR signal red-shifted in the visible region as the alcohol concentration increased. More interestingly, the sensitivity improved to 127 nm/%, which is attributed to the ZnO nanoflowers/Au structure. The goodness of the linear fit was more than 0.99 at a range from 0 vol% to 95 vol% which ensures detection resolution. Finally, a practical application for distinguishing five kinds of alcoholic drinks has been demonstrated. The excellent sensing characteristics also indicate the potential of the device for applications in the direction of food processing and monitoring, and the simple structure fabrication and economic environmental protection make it more attractive.

Indexed as

alcohol sensorphotochemical sensorSPRZnO nanoflowers/Au structure

Identifiers

PMID35009335
PMCPMC8745978

What OpenQuestion holds

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Registered trials

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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.