Results on identification of bacteria aging in complex environmental samples using Raman spectroscopy
Résumé
Spontaneous Raman scattering is a reliable technique for fast identification of single bacterial cells, when spectra are acquired in laboratory conditions where bacteria growth and state are controlled. We have developed a multi-modal system combining Raman spectroscopy and darkfield imaging, aiming at analysing environmental samples, typically in the field context of biological pathogens detection. Such samples are heterogeneous, both in terms of phenotype content and environmental matrix, even after a preliminary purification step. In this paper, we report a study on the identification of Bacillus Thuriengensis (BT) mimicing pathogen bacteria, embedded in a real-world matrix: a sample of surface water enriched with environmental bacterial species. The purpose is to evaluate both the detection limit of aging BT over time and the false alarm rate, in the conditions of our experiment.
Mots clés
signal processing
spectrum analysis
Raman spectrometry
spectrometry
identification
bacterial cell
Raman spectroscopy
darkfield imaging
biological pathogen detection
phenotype content
environmental matrix
Bacillus Thuriengensis
detection limit
false alarm rate
clustering
classification
single bacterial cell identification
environmental samples
starvation.
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