FTIR-based molecular fingerprinting for the rapid classification of dengue and chikungunya from human sera using machine learning: an observational study.

ABSTRACT:

Background

Dengue and chikungunya are arboviral diseases transmitted by Aedes mosquitoes, co-endemic in southeast Asia and India. Accurate and rapid diagnosis is crucial for effective outbreak management, but conventional diagnostic methods (ELISA, RT-PCR) are limited by cross-reactivity and the need for specialized infrastructure. Vibrational spectroscopy offers a novel, label-free alternative for detecting host molecular changes directly from serum.

Methods

We conducted an observational study to evaluate the diagnostic potential of Fourier Transform Infrared (FTIR) and Raman micro-spectroscopy combined with machine learning for the classification of dengue and chikungunya from human serum. Serum samples from confirmed dengue (N = 142), chikungunya (N = 120), and hea

SUBMITTER: Das S 

PROVIDER: S-EPMC12274937 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature