ArticleScientific reports2025
ATR-FTIR and multivariate analysis for differential diagnosis of dengue and leptospirosis: a feasibility study.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Evaluation of AI-enhanced FTIR spectroscopy for species and biovar typing of intracellular pathogenic Brucella spp.BMC microbiology · 2026Article
- Combined Biospectroscopy with Multivariate Analysis for the Differential Diagnosis of Leptospirosis Disease: A Pilot Study.ACS omega · 2026Article
- Chemometric Methods Applied to Infrared and Raman Spectroscopy for Arboviruses Diagnosis: A Systematic Review With Meta-Analysis.Analytical science advances · 2025Review
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dengue and leptospirosis are prevalent diseases in tropical and subtropical regions, posing significant public health challenges. These illnesses exhibit overlapping symptoms, including fever, muscle pain, and headaches, which complicates diagnosis and delays appropriate treatment. This study explores the use of attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR) combined with multivariate analysis to distinguish between the two infections by analyzing blood plasma in both liquid and dry states. A total of 114 patient samples at varying infection stages (n = 43 for leptospirosis and n = 71 for dengue) were examined using linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), and support vector machine (SVM) in conjunction with genetic algorithms (GA), successive projection algorithms (SPA), and principal component analysis (PCA) for feature selection and extraction. The SPA-QDA model applied to dried plasma delivered exceptional results, achieving 100% sensitivity, specificity, and accuracy in distinguishing the two diseases using only 30 spectral variables. ANOVA calculations, conducted with a 95% confidence level, identified four key wavenumbers (1601 cm
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