ArticleLasers in medical science2021
Biochemical characterization of pathogenic bacterial species using Raman spectroscopy and discrimination model based on selected spectral features.
Article in Lasers in medical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 60 citations in OpenAlex.
- Filtration-Based SERS With In Situ Gold Growth in Bacterial Microenvironment for Rapid Detection of Low-Level Bacteria.Small methods · 2026Article
- Discrimination of Closely RelatedBiology · 2026Article
- Characterization of theInternational journal of molecular sciences · 2026Article
- Early Sepsis Diagnosis as a Global Imperative: The Role of Raman Spectroscopy.Journal of clinical medicine · 2026Review
- Exosome-mediated modulation of macrophage polarization and inflammation in early Klebsiella pneumoniae lung infections.Clinical science (London, England : 1979) · 2025Article
- The dual-species biofilm formed by Staphylococcus aureus and Pseudomonas fluorescens exhibited enhanced resistance to disinfectants.NPJ science of food · 2025Article
- Synthetic Plantaricins Derived fromJournal of microbiology and biotechnology · 2025Article
- Rapid and accurate identification of foodborne bacteria: a combined approach using confocal Raman micro-spectroscopy and explainable machine learning.Analytical and bioanalytical chemistry · 2025Article
- Limit of Detection of Raman Spectroscopy Using Polystyrene Particles from 25 to 1000 nm in Aqueous Suspensions.Analytical chemistry · 2025Article
- Antibacterial Effects of Synthetic Plantaricins AgainstAntibiotics (Basel, Switzerland) · 2025Article
- Unveiling the Molecular Secrets: A Comprehensive Review of Raman Spectroscopy in Biological Research.ACS omega · 2024Review
- Lighting the Path: Raman Spectroscopy's Journey Through the Microbial Maze.Molecules (Basel, Switzerland) · 2024Article
- Differentiation of different dibenzothiophene (DBT) desulfurizing bacteriaRSC advances · 2024Article
- Article
- Antimicrobial Activity and Mechanisms of Punicalagin againstFoods (Basel, Switzerland) · 2024Article
- Classification of deep-sea cold seep bacteria by transformer combined with Raman spectroscopy.Scientific reports · 2023Article
- Identification of Bacterial Pathogens at Genus and Species Levels through Combination of Raman Spectrometry and Deep-Learning Algorithms.Microbiology spectrum · 2022Article
- Ag NP-filter paper based SERS sensor coupled with multivariate analysis for rapid identification of bacteria.RSC advances · 2022Article
- Accurate and fast identification of minimally prepared bacteria phenotypes using Raman spectroscopy assisted by machine learning.Scientific reports · 2022Article
- Discrimination between Carbapenem-Resistant and Carbapenem-Sensitive Klebsiella pneumoniae Strains through Computational Analysis of Surface-Enhanced Raman Spectra: a Pilot Study.Microbiology spectrum · 2022Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
This study aimed to evaluate the differences in the Raman spectra of nine clinical species of bacteria isolated from infections (three Gram-positive and six Gram-negative species), correlating the spectra with the chemical composition of each species and to develop a classification model through discriminant analysis to categorize each bacterial strain using the peaks with the most significant differences. Bacteria were cultured in Mueller Hinton agar and a sample of biomass was harvested and placed in an aluminum sample holder. A total of 475 spectra from 115 different strains were obtained through a dispersive Raman spectrometer (830 nm) with exposure time of 50 s. The intensities of the peaks were evaluated by one-way analysis of variance (ANOVA) and the peaks with significant differences were related to the differences in the biochemical composition of the strains. Discriminant analysis based on quadratic distance applied to the peaks with the most significant differences and partial least squares applied to the whole spectrum showed 89.5% and 90.1% of global accuracy, respectively, for classification of the spectra in all the groups. Raman spectroscopy could be a promising technique to identify spectral differences related to the biochemical content of pathogenic microorganisms and to provide a faster diagnosis of infectious diseases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.