Evidence map›Paper›PMID 38495717›Full record

ArticleBiomedical optics express2024

3D-printed biosensors in biomedical applications exploiting plasmonic phenomena and antibody self-assembled monolayers.

Francesco Arcadio, Waqar Ali, Debora Bencivenga, Domenico Del Prete, Chiara Marzano, Lorena Saitta, Emanuela Stampone, Rosario Cennamo, Vincenzo Carafa, Lucia Altucci and 3 more

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

Article in Biomedical optics express, 2024. 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
2.2field-weighted citation impact, top 13% 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

1 citing paper in PubMed, 12 citations in OpenAlex.

  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

13 authors at 2 institutions in 2 countries.

Francesco ArcadioDepartment of Engineering, University of Campania Luigi Vanvitelli, 81031 Aversa, Italy.
Waqar AliDepartment of Precision Medicine, University of Campania Luigi Vanvitelli, 80138 Naples, Italy.
Debora BencivengaDepartment of Precision Medicine, University of Campania Luigi Vanvitelli, 80138 Naples, Italy.
Domenico Del PreteDepartment of Engineering, University of Campania Luigi Vanvitelli, 81031 Aversa, Italy.
Chiara MarzanoDepartment of Engineering, University of Campania Luigi Vanvitelli, 81031 Aversa, Italy.
Lorena SaittaDepartment of Civil Engineering and Architecture, University of Catania, Viale Andrea Doria 6, 95125 Catania, Italy.
Emanuela StamponeDepartment of Precision Medicine, University of Campania Luigi Vanvitelli, 80138 Naples, Italy.
Rosario CennamoDepartment of Precision Medicine, University of Campania Luigi Vanvitelli, 80138 Naples, Italy.
Vincenzo CarafaDepartment of Precision Medicine, University of Campania Luigi Vanvitelli, 80138 Naples, Italy.
Lucia AltucciDepartment of Precision Medicine, University of Campania Luigi Vanvitelli, 80138 Naples, Italy.
Luigi ZeniDepartment of Engineering, University of Campania Luigi Vanvitelli, 81031 Aversa, Italy.
Gianluca CicalaDepartment of Civil Engineering and Architecture, University of Catania, Viale Andrea Doria 6, 95125 Catania, Italy.
Nunzio CennamoDepartment of Engineering, University of Campania Luigi Vanvitelli, 81031 Aversa, Italy.ORCID https://orcid.org/0000-0001-7769-0984
University of Campania "Luigi Vanvitelli" · ITUniversity of Catania · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, a 3D-printed plasmonic chip based on a silver-gold bilayer was developed in order to enhance the optical response of the surface plasmon resonance (SPR) probe. More specifically, numerical and experimental results were obtained on the 3D-printed SPR platform based on a silver-gold bilayer. Then, the optimized probe's gold plasmonic interface was functionalized with a specific antibody directed against the p27

Identifiers

PMID38495717
PMCPMC10942693
OpenAlexW4391139262

What OpenQuestion holds

Textmetadata
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.