Evidence map›Paper›PMID 40344362›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Plasmon Enhanced Universal SERS Detection of Hierarchical Plastics by 3D Plasmonic Funnel Metastructure.

Weixi Lu, Jian Luo, Yuyang Zhuang, Jie Liang, Min Xiong, Hui Liu, Lin Zhou

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Weixi LuCollege of Engineering and Applied Sciences, Nanjing University, Nanjing, 210023, China.
Jian LuoCollege of Engineering and Applied Sciences, Nanjing University, Nanjing, 210023, China.
Yuyang ZhuangCollege of Engineering and Applied Sciences, Nanjing University, Nanjing, 210023, China.
Jie LiangCollege of Engineering and Applied Sciences, Nanjing University, Nanjing, 210023, China.
Min XiongCollege of Engineering and Applied Sciences, Nanjing University, Nanjing, 210023, China.
Hui LiuCollege of Engineering and Applied Sciences, Nanjing University, Nanjing, 210023, China.
Lin ZhouCollege of Engineering and Applied Sciences, Nanjing University, Nanjing, 210023, China.ORCID https://orcid.org/0000-0002-8405-5310

Funding

High Level Talent Research Launch Project of Jiangsu Second Normal University 928201/012National Key Research and Development Program of China 2022YFA1404300National Key Research and Development Program of China 2024YFA1210500National Natural Science Foundation of China 12022403National Natural Science Foundation of China 22003066National Natural Science Foundation of China 62375123Natural Science Foundation of Jiangsu Province BK20243009
6 · The paper itself

Abstract

Plasmonic nanostructures have aroused tremendous excitement in extreme light matter interactions because of efficient light harvesting and nanometer field concentration, ideal for solar thermal conversion, photocatalysis, photodetection, etc. Here a 3D self-assembled plasmonic nanostructure is reported for ultrasensitive SERS detection of hierarchical micro-nano plastic pollutants ranging from 30 nm to microns by rationally integrating high density of both surface and volumetric hot spots into one structure, enabled by V-shaped close-packed bi-metallic nanoparticles with massive nanovoids across transverse and longitudinal areas. The unique bi-metallic structure of hollow nanocones can enable an enhancement factor up to 1.1 × 10

Indexed as

concentrationhierarchicalmicro‐nano plasticsplasmonic hot spotsSERS

Identifiers

PMID40344362
PMCPMC12199387

What OpenQuestion holds

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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.