Chemotaxonomic identification of single bacteria by micro-Raman spectroscopy: application to clean-room-relevant biological contaminations.
Microorganisms, such as bacteria, which might be present as contamination inside an industrial food or pharmaceutical clean room process need to be identified on short time scales in order to minimize possible health hazards as well as production downtimes causing financial deficits. Here we describe the first results of single-particle micro-Raman measurements in combination with a classification method, the so-called support vector machine technique, allowing for a fast, reliable, and nondestructive online identification method for single bacteria.
Rösch
Petra
P
Institut für Physikalische Chemie, Friedrich-Schiller-Universität Jena, Helmholtzweg 4, D-07743 Jena, Germany.
Harz
Michaela
M
Schmitt
Michael
M
Peschke
Klaus-Dieter
KD
Ronneberger
Olaf
O
Burkhardt
Hans
H
Motzkus
Hans-Walter
HW
Lankers
Markus
M
Hofer
Stefan
S
Thiele
Hans
H
Popp
Jürgen
J
D001407:Bacillus / Q000737:chemistry / Q000145:classification; D001419:Bacteria / Q000737:chemistry* / Q000145:classification* / Q000254:growth & development; D015373:Bacterial Typing Techniques / Q000379:methods* / Q000706:statistics & numerical data; D003627:Data Interpretation, Statistical; D004780:Environment, Controlled; D004783:Environmental Microbiology; D004926:Escherichia coli / Q000737:chemistry / Q000145:classification; D008837:Micrococcus / Q000737:chemistry / Q000145:classification; D038761:Photobleaching; D013059:Spectrum Analysis, Raman / Q000379:methods*; D013171:Spores, Bacterial / Q000737:chemistry; D013210:Staphylococcus / Q000737:chemistry / Q000145:classification