Loading
Communicable Diseases / Infectious Diseases · Journal article
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy · June 8, 2026
Encouraging direction, but not yet definitive.
This systematic review of 50 studies published 2015-2025 finds FTIR is a promising analytical tool for microbial identification, strain discrimination, and diagnosis of infectious diseases, particularly when combined with chemometric modeling. Clinical implementation awaits further standardization, robust validation, and development of reliable spectral databases.
PRISMA-guided systematic review of 50 articles from 2015-2025. Human infectious diseases caused by bacteria, fungi, viruses, and protozoa.
50 articles analyzed following PRISMA guidelines from PubMed, Scopus, and ScienceDirect databases Most studies focused on bacteria (42%) and fungi (32%), with fewer on viruses (20%) and protozoa (6%) 58% of studies aimed at microbial identification, 14% at diagnosis, and 28% focused on discrimination without predictive models
Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
FTIR combined with chemometric methods (PCA, HCA, LDA, SVM, ANN) may serve as a complementary rapid screening tool for infectious disease diagnosis. Clinical adoption requires standardization of protocols, robust external validation, and creation of comprehensive spectral reference databases.
Systematic review of 50 studies shows FTIR has strong potential for microbial identification and diagnosis but requires standardization and validation before clinical implementation.
As stated by the source record.
Quoted from the source exactly as published.
FTIR combined with chemometric methods (PCA, HCA, LDA, SVM, ANN) may serve as a complementary rapid screening tool for infectious disease diagnosis. Clinical adoption requires standardization of protocols, robust external validation, and creation of comprehensive spectral reference databases.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
Infectious diseases remain a persistent and evolving public health challenge, driven by factors such as antimicrobial resistance, emerging pathogens and environmental changes. In this context, this systematic review aims to analyze the analytical performance of Fourier Transform Infrared Spectroscopy (FTIR) for the microbiological identification, strain discrimination and diagnosis of human infectious diseases, based on studies published between 2015 and 2025. The review followed PRISMA guidelines and included 50 articles selected from PubMed, Scopus, and ScienceDirect databases. The findings demonstrate that FTIR is a promising analytical tool for microbial discrimination, identification, and diagnosis, particularly in studies involving cultured microorganisms combined with chemometric modelling. Most studies focused on bacteria (42%) and fungi (32%), with fewer addressing viruses (20%) and protozoa (6%). Chemometric analysis played a central role in enabling FTIR applications, particularly through the integration of unsupervised methods, such as Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA), with supervised techniques like Linear Discriminant Analysis (LDA), Support Vector Machines (SVM), and Artificial Neural Networks (ANN). Most studies aimed at microbial identification (58%) or diagnosis (14%), while 28% focused on discrimination without proposing predictive models. Overall, FTIR shows strong potential as a complementary tool for rapid diagnosis and screening of infectious diseases. However, its clinical implementation still depends on further standardization, robust validation, and the development of reliable spectral databases.
Taken from the source record, never inferred. Follow any of these and new work involving them reaches your briefing.