Evidence map›Paper›PMID 35044743›Full record

ArticleACS applied materials & interfaces2022

Plasmonic Metasurfaces for Specific SERS Detection of Shiga Toxins.

M Rippa, D Sagnelli, A Vestri, V Marchesano, B Munari, D Carnicelli, E Varrone, M Brigotti, R Tozzoli, M Montalbano and 4 more

Open access · hybridAbstract read
In one paragraph

Article in ACS applied materials & interfaces, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 39 citations in OpenAlex.

  1. Recent Advancements in the SERS-Based Detection ofSensors (Basel, Switzerland) · 2026
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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

14 authors at 5 institutions in 3 countries.

M RippaInstitute of Applied Sciences and Intelligent Systems "E. Caianiello" of CNR, 80072 Pozzuoli, Italy.
D SagnelliInstitute of Applied Sciences and Intelligent Systems "E. Caianiello" of CNR, 80072 Pozzuoli, Italy.
A VestriInstitute of Applied Sciences and Intelligent Systems "E. Caianiello" of CNR, 80072 Pozzuoli, Italy.
V MarchesanoInstitute of Applied Sciences and Intelligent Systems "E. Caianiello" of CNR, 80072 Pozzuoli, Italy.
B MunariDipartimento di Medicina Specialistica, Diagnostica e Sperimentale, Sede di Patologia Generale, Università di Bologna, 40126 Bologna, Italy.
D CarnicelliDipartimento di Medicina Specialistica, Diagnostica e Sperimentale, Sede di Patologia Generale, Università di Bologna, 40126 Bologna, Italy.
E VarroneDipartimento di Medicina Specialistica, Diagnostica e Sperimentale, Sede di Patologia Generale, Università di Bologna, 40126 Bologna, Italy.
M BrigottiInstitute of Applied Sciences and Intelligent Systems "E. Caianiello" of CNR, 80072 Pozzuoli, Italy.
R TozzoliLaboratorio Nazionale di Riferimento per E. coli, Dipartimento di Sicurezza Alimentare, Nutrizione e Sanità Pubblica Veterinaria, Istituto Superiore di Sanità, 00161 Rome, Italy.
M MontalbanoLaboratorio Nazionale di Riferimento per E. coli, Dipartimento di Sicurezza Alimentare, Nutrizione e Sanità Pubblica Veterinaria, Istituto Superiore di Sanità, 00161 Rome, Italy.
S MorabitoInstitute of Applied Sciences and Intelligent Systems "E. Caianiello" of CNR, 80072 Pozzuoli, Italy.
J ZhouInstitute of Photonics, Faculty of Science, Ningbo University, 315211 Ningbo, People's Republic of China.ORCID https://orcid.org/0000-0003-0346-1390
J ZyssInstitute of Applied Sciences and Intelligent Systems "E. Caianiello" of CNR, 80072 Pozzuoli, Italy.
L PettiInstitute of Applied Sciences and Intelligent Systems "E. Caianiello" of CNR, 80072 Pozzuoli, Italy.ORCID https://orcid.org/0000-0003-0979-3126
Institute of Applied Science and Intelligent Systems · ITIstituto Superiore di Sanità · ITUniversity of Bologna · ITÉcole Normale Supérieure Paris-Saclay · FRNingbo University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interest in the development of nanoscale plasmonic technologies has dramatically increased in recent years. The photonic properties of plasmonic nanopatterns can be controlled and tuned via their size, shape, or the arrangement of their constituents. In this work, we propose a 2D hybrid metallic polymeric nanostructure based on the octupolar framework with enhanced sensing property. We analyze its plasmonic features both numerically and experimentally, demonstrating the higher values of their relevant figures of merit: we estimated a surface-enhanced Raman spectroscopy (SERS) enhancement factor of 9 × 10

Indexed as

Biocompatible MaterialsBiosensing TechniquesGoldMaterials TestingMetal NanoparticlesParticle SizePhotonsShiga ToxinsSpectrum Analysis, RamanSurface PropertiesBiocompatible MaterialsGoldShiga Toxinsbacterial infectionsnanobiosensorsoctupolar nanostructureplasmonicSERSShiga toxins

Identifiers

PMID35044743
PMCPMC8815041
OpenAlexW4205654192

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.