Single bacteria identification by Raman spectroscopy - CEA - Commissariat à l’énergie atomique et aux énergies alternatives Access content directly
Journal Articles Journal of Biomedical Optics Year : 2014

Single bacteria identification by Raman spectroscopy


We report on rapid identification of single bacteria using a low-cost, compact, Raman spectroscope. We demonstrate that a 60-s procedure is sufficient to acquire a comprehensive Raman spectrum in the range of 600 to 3300 cm$^{−1}$. This time includes localization of small bacteria aggregates, alignment on a single individual, and spontaneous Raman scattering signal collection. Fast localization of small bacteria aggregates, typically composed of less than a dozen individuals, is achieved by lensfree imaging over a large field of view of 24 mm$^2$. The lensfree image also allows precise alignment of a single bacteria with the probing beam without the need for a standard microscope. Raman scattered light from a 34-mW continuous laser at 532 nm was fed to a customized spectrometer (prototype Tornado Spectral Systems). Owing to the high light throughput of this spectrometer, integration times as low as 10 s were found acceptable. We have recorded a total of 1200 spectra over seven bacterial species. Using this database and an optimized preprocessing, classification rates of ∼90% were obtained. The speed and sensitivity of our Raman spectrometer pave the way for high-throughput and nondestructive real-time bacteria identification assays. This compact and low-cost technology can benefit biomedical, clinical diagnostic, and environmental applications.
Fichier principal
Vignette du fichier
OpenAccess_SamyStrola_JBiomedicalOptics.pdf (4.61 Mo) Télécharger le fichier
Origin : Publisher files allowed on an open archive

Dates and versions

cea-01895995 , version 1 (19-02-2023)





Samy Andrea Strola, Jean-Charles Baritaux, Emmanuelle Schultz, Anne-Catherine Simon, Cédric Allier, et al.. Single bacteria identification by Raman spectroscopy. Journal of Biomedical Optics, 2014, 19 (11), pp.111610. ⟨10.1117/1.JBO.19.11.111610⟩. ⟨cea-01895995⟩
137 View
70 Download



Gmail Facebook X LinkedIn More