Evidence map›Paper›PMID 39382655›Full record

ArticleBioprocess and biosystems engineering2025

Inline Raman spectroscopy as process analytical technology for SARS-CoV-2 VLP production.

Felipe Moura Dias, Milena Miyu Teruya, Samanta Omae Camalhonte, Vinícius Aragão Tejo Dias, Luis Giovani de Oliveira Guardalini, Jaci Leme, Thaissa Consoni Bernardino, Felipe S Sposito, Eduardo Dias, Renato Manciny Astray and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Bioprocess and biosystems engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Synthetic spectral libraries for Raman model calibration.Analytical and bioanalytical chemistry · 2025
    Article
  3. 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.

Felipe Moura Dias *Laboratório de Engenharia de Bioprocessos. Escola de Artes, Ciências E Humanidades (EACH), Universidade de São Paulo, Rua Arlindo Béttio, 1000, São Paulo, SP, CEP 03828-000, Brazil.
Milena Miyu Teruya *Laboratório de Engenharia de Bioprocessos. Escola de Artes, Ciências E Humanidades (EACH), Universidade de São Paulo, Rua Arlindo Béttio, 1000, São Paulo, SP, CEP 03828-000, Brazil.
Samanta Omae CamalhonteLaboratório de Biotecnologia Viral, Instituto Butantan, Av Vital Brasil 1500, São Paulo, SP, CEP 05503-900, Brazil.
Vinícius Aragão Tejo DiasLaboratório de Engenharia de Bioprocessos. Escola de Artes, Ciências E Humanidades (EACH), Universidade de São Paulo, Rua Arlindo Béttio, 1000, São Paulo, SP, CEP 03828-000, Brazil.
Luis Giovani de Oliveira GuardaliniLaboratório de Biotecnologia Viral, Instituto Butantan, Av Vital Brasil 1500, São Paulo, SP, CEP 05503-900, Brazil.
Jaci LemeLaboratório de Biotecnologia Viral, Instituto Butantan, Av Vital Brasil 1500, São Paulo, SP, CEP 05503-900, Brazil.
Thaissa Consoni BernardinoLaboratório de Biotecnologia Viral, Instituto Butantan, Av Vital Brasil 1500, São Paulo, SP, CEP 05503-900, Brazil.
Felipe S SpositoMerck Brasil, Alameda Xingu, 350, Alphaville Industrial, São Paulo, SP, CEP 06455-030, Brazil.
Eduardo DiasMerck Brasil, Alameda Xingu, 350, Alphaville Industrial, São Paulo, SP, CEP 06455-030, Brazil.
Renato Manciny AstrayLaboratório Multipropósito, Instituto Butantan, Av. Vital Brasil 1500, São Paulo, SP, CEP 05503-900, Brazil.
Aldo TonsoLaboratório de Células Animais, Departamento de Engenharia Química, Escola Politécnica, Universidade de São Paulo. Av. Prof. Luciano Gualberto, Travessa Do Politécnico, 380, São Paulo, SP, 05508-010, Brazil.
Soraia Attie Calil JorgeLaboratório de Biotecnologia Viral, Instituto Butantan, Av Vital Brasil 1500, São Paulo, SP, CEP 05503-900, Brazil.
Eutimio Gustavo Fernández NúñezLaboratório de Engenharia de Bioprocessos. Escola de Artes, Ciências E Humanidades (EACH), Universidade de São Paulo, Rua Arlindo Béttio, 1000, São Paulo, SP, CEP 03828-000, Brazil. egfnunez@usp.br.

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 20/05264-0Fundação de Amparo à Pesquisa do Estado de São Paulo 2021/14451-0Fundação de Amparo à Pesquisa do Estado de São Paulo 2022/02713-3Fundação de Amparo à Pesquisa do Estado de São Paulo 2022/04711-8Fundação de Amparo à Pesquisa do Estado de São Paulo 2023/14085-0Pro-Reitoria de Pesquisa, Universidade de São Paulo PUB 83-1/2023
6 · The paper itself

Abstract

The present work focused on inline Raman spectroscopy monitoring of SARS-CoV-2 VLP production using two culture media by fitting chemometric models for biochemical parameters (viable cell density, cell viability, glucose, lactate, glutamine, glutamate, ammonium, and viral titer). For that purpose, linear, partial least square (PLS), and nonlinear approaches, artificial neural network (ANN), were used as correlation techniques to build the models for each variable. ANN approach resulted in better fitting for most parameters, except for viable cell density and glucose, whose PLS presented more suitable models. Both were statistically similar for ammonium. The mean absolute error of the best models, within the quantified value range for viable cell density (375,000-1,287,500 cell/mL), cell viability (29.76-100.00%), glucose (8.700-10.500 g/), lactate (0.019-0.400 g/L), glutamine (0.925-1.520 g/L), glutamate (0.552-1.610 g/L), viral titer (no virus quantified-7.505 log

Indexed as

COVID-19SARS-CoV-2Spectrum Analysis, RamanAnimalsCulture MediaGlucoseGlutamineHumansNeural Networks, ComputerCulture MediaGlucoseGlutamineArtificial neural networkBiochemical kinetic profilesBioprocessContinuous monitoringMultivariate analysisPartial least squaresSARS-CoV-2 VLP

Identifiers

PMID39382655

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.