Evidence map›Paper›PMID 32971755›Full record

ArticleMaterials (Basel, Switzerland)2020

Effect of Annealing on the Microstructure and SERS Performance of Mo-48.2% Ag Films.

Haoliang Sun, Xinxin Lian, Yuanjiang Lv, Yuanhao Liu, Chao Xu, Jiwei Dai, Yilin Wu, Guangxin Wang

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Highly Sensitive, Robust, and Recyclable TiOMolecules (Basel, Switzerland) · 2022
    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

8 authors.

Haoliang SunSchool of Materials Science and Engineering, Henan University of Science and Technology, Luoyang 471023, China.
Xinxin LianSchool of Materials Science and Engineering, Henan University of Science and Technology, Luoyang 471023, China.
Yuanjiang LvSchool of Materials Science and Engineering, Henan University of Science and Technology, Luoyang 471023, China.
Yuanhao LiuSchool of Materials Science and Engineering, Henan University of Science and Technology, Luoyang 471023, China.
Chao XuSchool of Materials Science and Engineering, Henan University of Science and Technology, Luoyang 471023, China.
Jiwei DaiSchool of Materials Science and Engineering, Henan University of Science and Technology, Luoyang 471023, China.
Yilin WuSchool of Materials Science and Engineering, Henan University of Science and Technology, Luoyang 471023, China.
Guangxin WangSchool of Materials Science and Engineering, Henan University of Science and Technology, Luoyang 471023, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mo-48.2% Ag films were fabricated by direct current (DC) magnetron sputtering and annealed in an argon atmosphere. The effects of annealing on the surface morphology, resistivity and surface-enhanced Raman scattering (SERS) performance of Mo-48.2% Ag films were investigated. Results show a mass of polyhedral Ag particles grown on the annealed Mo-48.2% Ag films' surface, which are different from that of as-deposited Mo-Ag film. Moreover, the thickness and the resistivity of Mo-48.2% Ag films gradually decrease as the annealing temperature increases. Furthermore, finite-difference time-domain (FDTD) simulations proved that the re-deposition Ag layer increases the "hot spots" between adjacent Ag nanoparticles, thereby greatly enhancing the local electromagnetic (EM) field. The Ag layer/annealed Mo-48.2% Ag films can identify crystal violet (CV) with concentration lower than 5 × 10

Indexed as

annealMo-48.2% Ag filmpolyhedral Ag particlesSERS

Identifiers

PMID32971755
PMCPMC7560463

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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.