ArticleFrontiers in microbiology2021
Bifidobacteria Strain Typing by Fourier Transform Infrared Spectroscopy.
Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Fourier transform infrared spectroscopy enables rapid strain typing and cluster analysis ofFrontiers in microbiology · 2026Article
- Rapid Detection of VREfm Clusters: FTIR Spectroscopy as a Practical Alternative to Whole-Genome Sequencing.Open forum infectious diseases · 2025Article
- Fourier Transform Infrared Spectroscopy Application forMicroorganisms · 2024Article
- A Comprehensive Methodology for Microbial Strain Typing Using Fourier-Transform Infrared Spectroscopy.Methods and protocols · 2024Article
- Evaluation of Fourier transform-infrared spectroscopy (FT-IR) as a control measure for nosocomial outbreak investigations.Journal of clinical microbiology · 2023Article
- A multi-center validation study on the discrimination ofFrontiers in microbiology · 2023Article
- Evaluation of IR Biotyper forFrontiers in microbiology · 2022Article
- In-process real-time probiotic phenotypic strain identity tracking: The use of Fourier transform infrared spectroscopy.Frontiers in microbiology · 2022Article
- Surveillance diagnostic algorithm using real-time PCR assay and strain typing method development to assist with the control ofFrontiers in cellular and infection microbiology · 2022Article
- Use of Fourier-Transform Infrared Spectroscopy With IR Biotyper® System forFrontiers in microbiology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fourier transform infrared (FTIR) spectroscopy, a technology traditionally used in chemistry to determine the molecular composition of a wide range of sample types, has gained growing interest in microbial typing. It is based on the different vibrational modes of the covalent bonds between atoms of a given sample, as bacterial cells, induced by the absorption of infrared radiation. This technique has been largely used for the study of pathogenic species, especially in the clinical field, and has been proposed also for the typing at different subspecies levels. The high throughput, speed, low cost, and simplicity make FTIR spectroscopy an attractive technique also for industrial applications, in particular, for probiotics. The aim of this study was to compare FTIR spectroscopy with established genotyping methods, pulsed-field gel electrophoresis (PFGE), whole-genome sequencing (WGS), and multilocus sequence typing (MLST), in order to highlight the FTIR spectroscopy potential discriminatory power at strain level. Our study focused on bifidobacteria, an important group of intestinal commensals generally recognized as probiotics. For their properties in promoting and maintaining health, bifidobacteria are largely marketed by the pharmaceutical, food, and dairy industries. Strains belonging to
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.