Evidence map›Paper›PMID 37887203›Full record

ArticleAntibiotics (Basel, Switzerland)2023

Spectroscopic Identification of Bacteria Resistance to Antibiotics by Means of Absorption of Specific Biochemical Groups and Special Machine Learning Algorithm.

Claudia P Barrera-Patiño, Jennifer M Soares, Kate C Branco, Natalia M Inada, Vanderlei Salvador Bagnato

Open access · goldAbstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.4field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  6. Synergistic effects ofFrontiers in microbiology · 2025
    Article
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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

5 authors at 1 institution in 2 countries.

Claudia P Barrera-PatiñoSão Carlos Institute of Physics, University of São Paulo, Avenida Trabalhador São-Carlense n° 400, Parque Arnold Schimidt, São Carlos 13566-590, SP, Brazil.ORCID 0000-0002-3233-1109
Jennifer M SoaresSão Carlos Institute of Physics, University of São Paulo, Avenida Trabalhador São-Carlense n° 400, Parque Arnold Schimidt, São Carlos 13566-590, SP, Brazil.ORCID 0000-0002-2978-7076
Kate C BrancoSão Carlos Institute of Physics, University of São Paulo, Avenida Trabalhador São-Carlense n° 400, Parque Arnold Schimidt, São Carlos 13566-590, SP, Brazil.
Natalia M InadaSão Carlos Institute of Physics, University of São Paulo, Avenida Trabalhador São-Carlense n° 400, Parque Arnold Schimidt, São Carlos 13566-590, SP, Brazil.
Vanderlei Salvador BagnatoSão Carlos Institute of Physics, University of São Paulo, Avenida Trabalhador São-Carlense n° 400, Parque Arnold Schimidt, São Carlos 13566-590, SP, Brazil.
Universidade de São Paulo · BR

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior CAPES - finance code 001Governs University Research Initiative grant program GURI - M23303930National Council for Scientific and Technological Development CNPq-Grant No. 380930/2022-6São Paulo Research Foundation FAPESP Grants No. CEPOF 2013/07276-1, INCT 2014/50857-8
6 · The paper itself

Abstract

FTIR (Fourier transform infrared spectroscopy) is one analytical technique of the absorption of infrared radiation. FTIR can also be used as a tool to characterize profiles of biomolecules in bacterial cells, which can be useful in differentiating different bacteria. Considering that different bacterial species have different molecular compositions, it will then result in unique FTIR spectra for each species and even bacterial strains. Having this important tool, here, we have developed a methodology aimed at refining the analysis and classification of the FTIR absorption spectra obtained from samples of

Indexed as

amoxicillin inducedantibiotic-resistant bacteriaerythromycin inducedFTIR spectroscopygentamicin inducedmachine learning algorithmsStaphylococcus aureus

Identifiers

PMID37887203
PMCPMC10604181
OpenAlexW4387234743

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.