ArticleScientific reports2022
FTIR differentiation based on genomic DNA for species identification of Shigella isolates from stool samples.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- Breed classification of Lao People's Democratic Republic (Lao PDR) and Thai native chickens using synchrotron radiation-based Fourier transform infrared spectroscopy and genotyping by sequencing.Poultry science · 2026Article
- In vitro evaluation of anthelmintic activity of biocompatibile carbon quantum dot nanocomposite against egg and larval stages of equine strongyles.BMC veterinary research · 2025Article
- AnalyzingInfection and drug resistance · 2025Article
- Basic concepts, recent advances, and future perspectives in the diagnosis of bovine mastitis.Journal of veterinary science · 2024Review
- Effects of Hydrophobic Gold Nanoparticles on Structure and Fluidity of SOPC Lipid Membranes.International journal of molecular sciences · 2023Article
- Classification of Amazonian fast-growing tree species and wood chemical determination by FTIR and multivariate analysis (PLS-DA, PLS).Scientific reports · 2023Article
- Interactions ofMembranes · 2023Article
- Interaction of Positively Charged Oligopeptides with Blood Plasma Proteins.International journal of molecular sciences · 2023Article
- Molecular Mechanisms ofInternational journal of molecular sciences · 2023Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Shigellosis is one of the major public health concerns in developing and low-income countries caused by four species of Shigella. There is an apparent need to develop rapid, cost-effective, sensitive and specific methods for differentiation of Shigella species to be used in outbreaks and health surveillance systems. We developed a sensitive and specific Fourier-transform infrared spectroscopy (FTIR) based method followed by principal component analysis (PCA) and hierarchical clustering analysis (HCA) assays to differentiate four species of Shigella isolates from stool samples. The FTIR based method was evaluated by differentiation of 91 Shigella species from each other in clinical samples using both gold standards (culture-based and agglutination methods) and developed FTIR assay; eventually, the sensitivity and specificity of the developed method were calculated. In summary, four distinct FTIR spectra associated with four species of Shigella were obtained with wide variations in three definite regions, including 1800-1550 cm
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