Evidence map›Paper›PMID 36740644›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2023

Modeling the growth dependence of Streptococcus thermophilus and Lactobacillus bulgaricus as a function of temperature and pH.

Gabriela Campaner Salmazo, Rafael Germano Dal Molin Filho, Weber da Silva Robazza, Franciny Campos Schmidt, Daniel Angelo Longhi

Abstract read
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In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2023. 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. Probiotic Enrichment of Jamun Juice WithFood science & nutrition · 2025
    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

5 authors.

Gabriela Campaner SalmazoLaBeM - Laboratory of Bioactives and Microbiology, School of Food Engineering, Campus Jandaia Do Sul, Federal University of Paraná - UFPR, Jandaia Do Sul, PR, 86900-000, Brazil.
Rafael Germano Dal Molin FilhoLaBeM - Laboratory of Bioactives and Microbiology, School of Food Engineering, Campus Jandaia Do Sul, Federal University of Paraná - UFPR, Jandaia Do Sul, PR, 86900-000, Brazil.
Weber da Silva RobazzaLaboratory Apther - Applied Thermophysics, Department of Food and Chemical Engineering, Santa Catarina State University - UDESC, Pinhalzinho, SC, 89870-000, Brazil.
Franciny Campos SchmidtDepartment of Chemical Engineering, Federal University of Paraná - UFPR, Curitiba, PR, 81531-980, Brazil.
Daniel Angelo LonghiLaBeM - Laboratory of Bioactives and Microbiology, School of Food Engineering, Campus Jandaia Do Sul, Federal University of Paraná - UFPR, Jandaia Do Sul, PR, 86900-000, Brazil. ealdaniel@ufpr.br.ORCID http://orcid.org/0000-0001-8514-5417

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growth of the lactic acid bacteria (LAB), Streptococcus thermophilus and Lactobacillus bulgaricus, widely used for yogurt production, results in acid production and the reduction of the milk [Formula: see text]. Industrial processes can show temperature ([Formula: see text]) changes due to the large scale of the equipment. As [Formula: see text] and [Formula: see text] affect the LAB growth, this study aimed to model the dependence of S. thermophilus and L. bulgaricus as a function of temperature and pH and to estimate and internally validate their growth parameters and confidence intervals with different modeling approaches. Twenty-four datasets regarding the growth kinetics of S. thermophilus and L. bulgaricus were used for estimating the kinetic parameters for each pure culture. The classical Baranyi and Roberts (sigmoidal) primary and Rosso and coworkers (cardinal parameter) secondary models successfully described the experimental data. The one-step modeling approach showed better statistical results than the two-step approach. The values of eight growth parameters ([Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], and [Formula: see text]) for each culture estimated from the fitting with the one-step approach and the Monte-Carlo-based approach were similar. Low averaged root-mean-squared errors ([Formula: see text]) (0.125 and 0.090 log CFU/mL) and percent discrepancy factor [Formula: see text] ([Formula: see text] and [Formula: see text]) values for S. thermophilus and L. bulgaricus were obtained in the internal model validation, reinforcing the predictive ability of the model.

Indexed as

Lactobacillus delbrueckiiFermentationHydrogen-Ion ConcentrationLactobacillusStreptococcus thermophilusTemperatureBacterial growthParameter estimationPredictive microbiologyStarter cultures

Identifiers

PMID36740644
PMCPMC9943998

What OpenQuestion holds

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Registered trials

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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.