Evidence map›Paper›PMID 42255533›Full record

ArticleACS omega2026

Label-Free Nanostructured Biosensing Platform Based on Depolarized Dynamic Light Scattering for Rapid and Portable Detection of Immunoglobulins in Complex Biological Samples.

Caroline Magalh̃aes Junqueira, Kennedy Batista Goņcalves, Ĺıvia de Brito Macedo, Patrick Gonçalves Mendez, Nick Rocha Costa, Iara Borges Apolińario, Enzo Morrison Figueiredo Costa Jorge, Amanda Bonoto Goņcalves, Anna Carolina Pinheiro Lage, Daniel de Assis Santos and 6 more

Abstract read
In one paragraph

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

16 authors.

Caroline Magalh̃aes JunqueiraDepartment of Microbiology, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Minas Gerais, Brazil.
Kennedy Batista GoņcalvesCenter of Technology in Nanomaterials and Graphene (CTNano), Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Minas Gerais, Brazil.
Ĺıvia de Brito MacedoDepartment of Microbiology, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Minas Gerais, Brazil.
Patrick Gonçalves MendezCenter of Technology in Nanomaterials and Graphene (CTNano), Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Minas Gerais, Brazil.
Nick Rocha CostaCenter of Technology in Nanomaterials and Graphene (CTNano), Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Minas Gerais, Brazil.
Iara Borges ApolińarioCenter of Technology in Nanomaterials and Graphene (CTNano), Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Minas Gerais, Brazil.
Enzo Morrison Figueiredo Costa JorgeCenter of Technology in Nanomaterials and Graphene (CTNano), Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Minas Gerais, Brazil.
Amanda Bonoto GoņcalvesCenter of Technology in Nanomaterials and Graphene (CTNano), Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Minas Gerais, Brazil.ORCID https://orcid.org/0000-0002-0430-0567
Anna Carolina Pinheiro LageRene Rachou Institute (Fiocruz Minas), Belo Horizonte 30190-002, Minas Gerais, Brazil.
Daniel de Assis SantosDepartment of Microbiology, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Minas Gerais, Brazil.ORCID https://orcid.org/0000-0002-1108-5666
Fĺavio Guimar̃aes da FonsecaDepartment of Microbiology, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Minas Gerais, Brazil.
Rosimeire Coura BarcelosGAD - Organic Chemistry Group, Federal University of São João del-Rei, Divińopolis 35501-296, Minas Gerais, Brazil.
Ary Corr̂ea JuniorDepartment of Microbiology, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Minas Gerais, Brazil.
Luiz Orlando LadeiraCenter of Technology in Nanomaterials and Graphene (CTNano), Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Minas Gerais, Brazil.
Oscar Nassif de MesquitaCenter of Technology in Nanomaterials and Graphene (CTNano), Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Minas Gerais, Brazil.
Ĺıvia Siman GomesCenter of Technology in Nanomaterials and Graphene (CTNano), Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Minas Gerais, Brazil.ORCID https://orcid.org/0000-0002-4031-558X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dynamic behavior of nanoparticles in solution provides valuable insights for biomolecular detection. When nanoparticles exhibit optical anisotropy, their Brownian rotational diffusion can be monitored through depolarized dynamic light scattering (DDLS). For anisotropic particles such as gold nanorods (GNRs), the rotational diffusion coefficient scales inversely with the cube of their hydrodynamic radius, making DDLS highly sensitive to nanoscale binding events. Here, we report a label-free nanostructured biosensing platform based on DDLS that enables rapid, sensitive, and portable detection of immunoglobulins in complex samples. The system integrates bioconjugated GNRs with a custom-built, miniaturized DDLS device to achieve real-time, in loco measurements within approximately ≈10 s, without extensive sample preprocessing. As a proof-of-concept, GNRs functionalized with SARS-CoV-2 nucleocapsid proteins were used to detect specific immunoglobulins in clinical samples. The nanobiosensor exhibited high analytical sensitivity, with a detection limit of 0.16 ng/mL, as determined using spiked samples containing commercial monoclonal anti-N antibodies, highlighting its potential for rapid point-of-care immunoassays in complex biological environments.

Identifiers

PMID42255533
PMCPMC13234887

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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.