Easy Identification of <i>Leishmania (Leishmania) amazonensis</i> and <i>Leishmania (Viannia) braziliensis</i> Species by Using Fourier-Transform Infrared Spectroscopy and Machine Learning Algorithms
- DOI
- 10.1021/acsomega.5c05522
- Published
- 2025-10-29
- Container
- ACS Omega
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1021/acsomega.5c05522,
title = {Easy Identification of
<i>Leishmania (Leishmania) amazonensis</i>
and
<i>Leishmania (Viannia) braziliensis</i>
Species by Using Fourier-Transform Infrared Spectroscopy and Machine Learning Algorithms},
author = {Vilma A. S. Oliveira and Vitoria S. Fernandes and Fernanda Silva and Thiago Franca and Camila Calvani and Bruno Marangoni and Carla Arruda and Cicero Cena},
year = {2025},
journal = {ACS Omega},
doi = {10.1021/acsomega.5c05522},
url = {https://doi.org/10.1021/acsomega.5c05522}
}RIS
TY - JOUR
TI - Easy Identification of
<i>Leishmania (Leishmania) amazonensis</i>
and
<i>Leishmania (Viannia) braziliensis</i>
Species by Using Fourier-Transform Infrared Spectroscopy and Machine Learning Algorithms
AU - Vilma A. S. Oliveira
AU - Vitoria S. Fernandes
AU - Fernanda Silva
AU - Thiago Franca
AU - Camila Calvani
AU - Bruno Marangoni
AU - Carla Arruda
AU - Cicero Cena
PY - 2025
JO - ACS Omega
DO - 10.1021/acsomega.5c05522
UR - https://doi.org/10.1021/acsomega.5c05522
ER - APA
Oliveira, V. A. S., Fernandes, V. S., Silva, F., Franca, T., Calvani, C., Marangoni, B., Arruda, C., & Cena, C. (2025). Easy Identification of <i>Leishmania (Leishmania) amazonensis</i> and <i>Leishmania (Viannia) braziliensis</i> Species by Using Fourier-Transform Infrared Spectroscopy and Machine Learning Algorithms. ACS Omega. https://doi.org/10.1021/acsomega.5c05522
Source records
- crossref · retrieved 2026-09-26T05:25:58.571Z