| Literature DB >> 15746368 |
Petra Rösch1, Michaela Harz, Michael Schmitt, Klaus-Dieter Peschke, Olaf Ronneberger, Hans Burkhardt, Hans-Walter Motzkus, Markus Lankers, Stefan Hofer, Hans Thiele, Jürgen Popp.
Abstract
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.Mesh:
Year: 2005 PMID: 15746368 PMCID: PMC1065155 DOI: 10.1128/AEM.71.3.1626-1637.2005
Source DB: PubMed Journal: Appl Environ Microbiol ISSN: 0099-2240 Impact factor: 4.792