Evidence map›Paper›PMID 36569057›Full record

ArticleFrontiers in microbiology2022

In-process real-time probiotic phenotypic strain identity tracking: The use of Fourier transform infrared spectroscopy.

Francesca Deidda, Miriam Cordovana, Nicole Bozzi Cionci, Teresa Graziano, Diana Di Gioia, Marco Pane

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 17% of its field
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

9 citing papers in PubMed, 7 citations in OpenAlex.

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  3. Characterization ofPathogens (Basel, Switzerland) · 2026
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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

6 authors at 3 institutions in 2 countries.

Francesca DeiddaProbiotical Research S.r.L, Novara, Italy.
Miriam CordovanaBruker Daltonics GmbH & Co., Bremen, Germany.
Nicole Bozzi CionciDepartment of Agricultural and Food Sciences, University of Bologna, Bologna, Italy.
Teresa GrazianoProbiotical Research S.r.L, Novara, Italy.
Diana Di GioiaDepartment of Agricultural and Food Sciences, University of Bologna, Bologna, Italy.
Marco PaneProbiotical Research S.r.L, Novara, Italy.
Probiotical (Italy) · ITUniversity of Bologna · ITBruker (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Probiotic bacteria, capable of conferring benefits to the host, can present challenges in design, development, scale-up, manufacturing, commercialization, and life cycle management. Strain identification is one of the main quality parameters; nevertheless, this task can be challenging since established methodologies can lack resolution at the strain level for some microorganisms and\or are labor-intensive and time-consuming. Fourier transform infrared spectroscopy (FTIRS) has been largely used for the investigation of pathogenic species in the clinical field, whereas only recently has been proposed for the identification of probiotic strains. Within the probiotic industrial production, bacterial strains can be subjected to stressful conditions that may affect genomic and phenotypic characteristics; therefore, real-time monitoring of all the sequential growth steps is requested. Considering the fast, low-cost, and high-throughput features, FTIRS is an innovative and functional technology for typing probiotic strains from bench-top experiments to large-scale industrial production, allowing the monitoring of stability and identity of probiotic strains. In this study, the discriminatory power of FTIRS was assessed for four

Indexed as

FTIR spectroscopyIR Biotyper®Lactiplantibacillus plantarumlarge-scale productionprobioticsstrain typing

Identifiers

PMID36569057
PMCPMC9772554
OpenAlexW4311853196

What OpenQuestion holds

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LicenceCC BY
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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.