Evidence map›Paper›PMID 41060592›Full record

ArticleJournal of fluorescence2026

Synchronous Fluorescence Spectroscopy to Monitor Relevant Biochemicals over Zika-Virus-Like Particles' Production.

Vinícius Aragão Tejo Dias, Júlia Dezanetti da Silva, Júlia Públio Rabello, Fernanda Angela Correia Barrance, Milena Miyu Teruya, Marilda Keico Taciro, Ana Paula Jacobus, Jaci Leme, Thaissa Consoni Bernardino, Soraia Attie Calil Jorge and 1 more

Abstract read
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In one paragraph

Article in Journal of fluorescence, 2026. 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
–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

1 citing paper in PubMed.

  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

11 authors.

Vinícius Aragão Tejo Dias *Laboratório de Engenharia de Bioprocessos. Escola de Artes, Ciências e Humanidades (EACH), Universidade de São Paulo, Rua Arlindo Béttio 1000, CEP 03828-000, São Paulo, SP, Brazil.
Júlia Dezanetti da Silva *Laboratório de Engenharia de Bioprocessos. Escola de Artes, Ciências e Humanidades (EACH), Universidade de São Paulo, Rua Arlindo Béttio 1000, CEP 03828-000, São Paulo, SP, Brazil.
Júlia Públio RabelloLaboratório de Engenharia de Bioprocessos. Escola de Artes, Ciências e Humanidades (EACH), Universidade de São Paulo, Rua Arlindo Béttio 1000, CEP 03828-000, São Paulo, SP, Brazil.
Fernanda Angela Correia BarranceLaboratório de Engenharia de Bioprocessos. Escola de Artes, Ciências e Humanidades (EACH), Universidade de São Paulo, Rua Arlindo Béttio 1000, CEP 03828-000, São Paulo, SP, Brazil.
Milena Miyu TeruyaLaboratório de Engenharia de Bioprocessos. Escola de Artes, Ciências e Humanidades (EACH), Universidade de São Paulo, Rua Arlindo Béttio 1000, CEP 03828-000, São Paulo, SP, Brazil.
Marilda Keico TaciroInstituto SENAI de Inovação em Biotecnologia, Rua Anhaia 1321, Bom Retiro, CEP 01130-000, São Paulo, SP, Brazil.
Ana Paula JacobusInstituto SENAI de Inovação em Biotecnologia, Rua Anhaia 1321, Bom Retiro, CEP 01130-000, São Paulo, SP, Brazil.
Jaci LemeLaboratório de Biotecnologia Viral, Instituto Butantan, Av Vital Brasil 1500, CEP 05503-900, São Paulo, SP, Brazil.
Thaissa Consoni BernardinoLaboratório de Biotecnologia Viral, Instituto Butantan, Av Vital Brasil 1500, CEP 05503-900, São Paulo, SP, Brazil.
Soraia Attie Calil JorgeLaboratório de Biotecnologia Viral, Instituto Butantan, Av Vital Brasil 1500, CEP 05503-900, São Paulo, SP, Brazil.
Eutimio Gustavo Fernández NúñezLaboratório de Engenharia de Bioprocessos. Escola de Artes, Ciências e Humanidades (EACH), Universidade de São Paulo, Rua Arlindo Béttio 1000, CEP 03828-000, São Paulo, SP, Brazil. egfnunez@usp.br.

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2022/02713-3Fundação de Amparo à Pesquisa do Estado de São Paulo 2023/09463-5Fundação de Amparo à Pesquisa do Estado de São Paulo 2023/14085-0Fundação de Amparo à Pesquisa do Estado de São Paulo 2023/17480-7Fundação de Amparo à Pesquisa do Estado de São Paulo 2024/02567-2
6 · The paper itself

Abstract

This work evaluates using synchronous fluorescence spectroscopy with chemometric modeling techniques, Partial Least Squares (PLS), and Artificial Neural Network (ANN), to monitor key biochemical parameters during Zika virus-like particle (Zika-VLP) production. The study aimed to predict concentrations of lactate (Lac), glutamine (Gln), glutamate (Glu), ammonium (NH

Indexed as

VirionZika VirusLeast-Squares AnalysisNeural Networks, ComputerSpectrometry, FluorescenceArtificial neural networksBioprocess monitoringPartial least squaresSynchronous fluorescence spectroscopyVirus-like particlesZika virus

Identifiers

PMID41060592

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.