A novel method for single bacteria identification by Raman spectroscopy

Emmanuelle Schultz; Anne-Catherine Simon; Samy Andrea Strola; Rémi Perenon; Isabelle Espagnon; Cédric Allier; Patricia Claustre; Dorothée Jary; Jean-Marc Dinten

doi:10.1117/12.2039318

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4 March 2014 A novel method for single bacteria identification by Raman spectroscopy

Emmanuelle Schultz; Anne-Catherine Simon; Samy Andrea Strola; Rémi Perenon; Isabelle Espagnon; Cédric Allier; Patricia Claustre; Dorothée Jary; Jean-Marc Dinten

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Proceedings Volume 8939, Biomedical Vibrational Spectroscopy VI: Advances in Research and Industry; 89390D (2014) https://doi.org/10.1117/12.2039318
Event: SPIE BiOS, 2014, San Francisco, California, United States

Abstract

In this paper we present results on single bacteria rapid identification obtained with a low-cost and compact Raman spectrometer. At present, we demonstrate that a 1 minute procedure, including the localization of single bacterium, is sufficient to acquire comprehensive Raman spectrum in the range of 600 to 3300 cm^-1. Localization and detection of single bacteria is performed by means of lensfree imaging over a large field of view of 24 mm². An excitation source of 532 nm and 30 mW illuminates single bacteria to collect Raman signal into a Tornado Spectral Systems prototype spectrometer (HTVS technology). The acquisition time to record a single bacterium spectrum is as low as 10 s owing to the high light throughput of this spectrometer. The spectra processing features different steps for cosmic spikes removal, background subtraction, and gain normalization to correct the residual inducted fluorescence and substrate fluctuations. This allows obtaining a fine chemical fingerprint analysis. We have recorded a total of 1200 spectra over 7 bacterial species (E. coli, Bacillus species, S. epidermis, M. luteus, S. marcescens). The analysis of this database results in a high classification score of almost 90 %. Hence we can conclude that our setup enables automatic recognition of bacteria species among 7 different species. The speed and the sensitivity (<30 minutes for localization and spectra collection of 30 single bacteria) of our Raman spectrometer pave the way for high-throughput and non-destructive real-time bacteria identification assays. This compact and low-cost technology can benefit biomedical, clinical diagnostic and environmental applications.

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Emmanuelle Schultz, Anne-Catherine Simon, Samy Andrea Strola, Rémi Perenon, Isabelle Espagnon, Cédric Allier, Patricia Claustre, Dorothée Jary, and Jean-Marc Dinten "A novel method for single bacteria identification by Raman spectroscopy", Proc. SPIE 8939, Biomedical Vibrational Spectroscopy VI: Advances in Research and Industry, 89390D (4 March 2014); https://doi.org/10.1117/12.2039318

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