Evidence map›Paper›PMID 37896352›Full record

ArticlePolymers2023

Lab-on-Fiber Sensors with Ag/Au Nanocap Arrays Based on the Two Deposits of Polystyrene Nanospheres.

Meng Shi, Shifang Gao, Liang Shang, Linan Ma, Wei Wang, Guangqiang Liu, Zongbao Li

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Polymers, 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
0.2field-weighted citation impact, top 59% of its field
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, 3 citations in OpenAlex.

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

7 authors at 3 institutions in 1 country.

Meng ShiSchool of Physical Science and Intelligent Engineering, Jining University, Qufu 273155, China.
Shifang GaoShandong Provincial Key Laboratory of Laser Polarization Technology, Qufu Normal University, Qufu 273165, China.
Liang ShangShandong Provincial Key Laboratory of Laser Polarization Technology, Qufu Normal University, Qufu 273165, China.
Linan MaShandong Provincial Key Laboratory of Laser Polarization Technology, Qufu Normal University, Qufu 273165, China.
Wei WangSchool of Physical Science and Intelligent Engineering, Jining University, Qufu 273155, China.
Guangqiang LiuShandong Provincial Key Laboratory of Laser Polarization Technology, Qufu Normal University, Qufu 273165, China.
Zongbao LiMinistry of Education Key Laboratory of Textile Fiber Products, School of Materials Science and Engineering, Wuhan Textile University, Wuhan 430200, China.
Qufu Normal University · CNJining University · CNWuhan Textile University · CN

Funding

National Natural Science Foundation of China 51872161
6 · The paper itself

Abstract

Surface-enhanced Raman spectroscopy (SERS) can boost the pristine Raman signal significantly which could be exploited for producing innovative sensing devices with advanced properties. However, the inherent complexity of SERS systems restricts their further applications in rapid detection, especially in situ detection in narrow areas. Here, we construct an efficient and flexible SERS-based Lab-on-Fiber (LOF) sensor by integrating Ag/Au nanocap arrays obtained by Ag/Au coating polystyrene nanospheres on the optical fiber face. We obtain rich "hot spots" at the nanogaps between neighboring nanocaps, and further achieve SERS performance with the assistance of laser-induced thermophoresis on the metal film that can achieve efficiency aggregation of detected molecules. We achieve a high Raman enhancement with a low detection limitation of 10

Indexed as

Ag/Au nanocap arrayslab-on-fiber sensorpolystyrene nanospheressurface-enhanced Raman scattering

Identifiers

PMID37896352
PMCPMC10610900
OpenAlexW4387667604

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.