Evidence map›Paper›PMID 36496750›Full record

ArticleFoods (Basel, Switzerland)2022

Modeling of Growth and Organic Acid Kinetics and Evolution of the Protein Profile and Amino Acid Content during

Mariaelena Di Biase, Yvan Le Marc, Anna Rita Bavaro, Stella Lisa Lonigro, Michela Verni, Florence Postollec, Francesca Valerio

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. 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. 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

7 authors.

Mariaelena Di BiaseInstitute of Sciences of Food Production, National Research Council, Via Amendola 122/O, 70126 Bari, Italy.ORCID 0000-0002-3768-5707
Yvan Le MarcADRIA Food Technology Institute, UMT ACTIA 19.03 ALTER'iX, ZA Creac'h Gwen, F-29196 Quimper, France.
Anna Rita BavaroInstitute of Sciences of Food Production, National Research Council, Via Amendola 122/O, 70126 Bari, Italy.ORCID 0000-0002-2746-3967
Stella Lisa LonigroInstitute of Sciences of Food Production, National Research Council, Via Amendola 122/O, 70126 Bari, Italy.
Michela VerniDepartment of Soil, Plant and Food Science, University of Bari Aldo Moro, Via G. Amendola 165/A, 70126 Bari, Italy.ORCID 0000-0001-6767-5035
Florence PostollecADRIA Food Technology Institute, UMT ACTIA 19.03 ALTER'iX, ZA Creac'h Gwen, F-29196 Quimper, France.
Francesca ValerioInstitute of Sciences of Food Production, National Research Council, Via Amendola 122/O, 70126 Bari, Italy.ORCID 0000-0001-7270-1808

Funding

Italian Ministry of University and Research ARS01_00783
6 · The paper itself

Abstract

The application of mathematical modeling to study and characterize lactic acid bacterial strains with pro-technological and functional features has gained attention in recent years to solve the problems relevant to the variabilities of the fermentation processes of sourdough. Since the key factors contributing to the sourdough quality are relevant to the starter strain growth and its metabolic activity, in this study, the cardinal growth parameters for

Indexed as

fermented flourgrowth modelsin silico simulationsorganic acid modelingprotein profile

Identifiers

PMID36496750
PMCPMC9741194

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.