Evidence map›Paper›PMID 40574244›Full record

ArticlePolymers2025

Sensitive and Stable NCF/GO/Au@Ag SERS Substrate for Trace Detection of Polycyclic Aromatic Hydrocarbons.

Lili Kong, Xinna Yu, Qifang Sun, Meizhen Huang, Tianyuan Liu, Jie Chen

Abstract read
In one paragraph

Article in Polymers, 2025. 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

6 authors.

Lili KongSchool of Mathematics, Physics and Statistics, Shanghai University of Engineering Science, Shanghai 201620, China.
Xinna YuSchool of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Qifang SunCollege of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China.ORCID 0000-0001-6568-6718
Meizhen HuangSchool of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Tianyuan LiuSchool of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Jie ChenCollege of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China.

Funding

National Natural Science Foundation of China 62105207National Natural Science Foundation of China 62175150National Natural Science Foundation of China 62305211
6 · The paper itself

Abstract

Polycyclic aromatic hydrocarbons (PAHs) have attracted significant attention due to their severe threats to both ecological systems and human health. In this paper, a high-performance surface-enhanced Raman spectroscopy (SERS) substrate based on NCF/GO/Au@Ag nanocomposites was developed, which enabled sensitive and stable detection of PAHs. The NCF/GO/Au@Ag substrate synergistic utilizes the localized surface plasmon resonance (LSPR) effect of Au@Ag core-shell nanorods and the additional interfacial charge transfer provided by graphene oxide (GO) to exhibit extremely high sensitivity. And the three-dimensional fibrous network of nanocellulose (NCF) improved nanoparticle dispersion uniformity. Combined finite element simulations and experimental studies verified that the dual plasmonic resonances (512 nm and 772 nm) of Au@Ag nanorods optimally match 785 nm excitation, yielding an enhancement factor of 5.21 × 10

Indexed as

charge transferlocalized surface plasmon resonance (LSPR)nanocellulose (NCF)polycyclic aromatic hydrocarbons (PAHs)surface-enhanced Raman spectroscopy (SERS)

Identifiers

PMID40574244
PMCPMC12197083

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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.