Evidence map›Paper›PMID 42569073›Full record

ArticleACS omega2026

Composition-Dependent SERS Responses of Structurally Related Dyes on Inkjet-Printed Paper Substrates with Gold and Silver Triangular Nanoprisms.

Lucas M F Oliveira, Anerise de Barros, Edison Huertas-Montoya, Gabriel C Pereira, Diego P Dos Santos, Fernando A Sigoli, Italo O Mazali

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Article in ACS omega, 2026. 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

7 authors.

Lucas M F OliveiraUniversidade Estadual de Campinas, Instituto de Química, Laboratório de Materiais Funcionais, Campinas, São Paulo 13083-970, Brasil.
Anerise de BarrosUniversidade Estadual de Campinas, Instituto de Química, Laboratório de Materiais Funcionais, Campinas, São Paulo 13083-970, Brasil.ORCID https://orcid.org/0000-0002-1616-2368
Edison Huertas-MontoyaUniversidade Estadual de Campinas, Instituto de Química, Laboratório de Materiais Funcionais, Campinas, São Paulo 13083-970, Brasil.
Gabriel C PereiraUniversidade Estadual de Campinas, Instituto de Química, Laboratório de Materiais Funcionais, Campinas, São Paulo 13083-970, Brasil.
Diego P Dos SantosUniversidade Estadual de Campinas, Instituto de Química, Laboratório de Materiais Funcionais, Campinas, São Paulo 13083-970, Brasil.ORCID https://orcid.org/0000-0001-9468-7293
Fernando A SigoliUniversidade Estadual de Campinas, Instituto de Química, Laboratório de Materiais Funcionais, Campinas, São Paulo 13083-970, Brasil.ORCID https://orcid.org/0000-0003-1285-6765
Italo O MazaliUniversidade Estadual de Campinas, Instituto de Química, Laboratório de Materiais Funcionais, Campinas, São Paulo 13083-970, Brasil.ORCID https://orcid.org/0000-0001-5698-5273

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inkjet-printed paper-based surface-enhanced Raman scattering (SERS) substrates incorporating gold triangular nanoprisms (AuTNPs) and silver triangular nanoprisms (AgTNPs) were prepared to investigate how nanoparticle composition influences the SERS response of structurally related dyes, crystal violet (CV) and malachite green (MG). AuTNPs and AgTNPs were synthesized, formulated into printable inks, and deposited side by side onto hydrophobized chromatography paper. Scanning electron microscopy (SEM) and optical characterization confirmed the preservation of nanoprism morphology after printing, while revealing superior spectral reproducibility and storage stability for AuTNP-based substrates compared to AgTNP-based ones. The SERS spectra of CV and MG exhibited composition-dependent vibrational fingerprints, with AuTNPs providing higher enhancement factors and inducing systematic shifts and relative intensity variations in characteristic Raman bands. Multivariate analysis based on artificial neural networks (ANNs) was applied to binary CV/MG mixtures, yielding mean prediction errors (MSE) of 0.080 for the training set and 0.106 for the validation set, with larger deviations associated with lower-enhancement regions. Overall, the results demonstrate that nanoprism composition plays a critical role in shaping SERS spectral features and that combining signals from different plasmonic nanostructures on a printed paper substrate enhances the spectroscopic discrimination and quantitative analysis of closely related molecular species.

Identifiers

PMID42569073
PMCPMC13448946

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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.