Chemotaxonomic identification of single bacteria by micro-Raman spectroscopy:: Application to clean-room-relevant biological contaminations
Chemotaxonomic identification of single bacteria by micro-Raman spectroscopy:: Application to clean-room-relevant biological contaminations
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DOI：
10.1128/aem.71.3.1626-1637.2005
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发表时间：
2005-03-01
影响因子：
4.4
通讯作者：
Popp, J
中科院分区：
文献类型：
--
作者：
Rösch, P;Harz, M;Popp, J
微生物，如细菌，可能作为污染存在于工业食品或药品洁净室过程中，需要在短时间内进行识别，以最大限度地减少可能的健康危害以及导致财务赤字的生产停机时间。在这里，我们描述了单粒子、微拉曼测量的第一批结果，并结合了一种分类方法，即所谓的支持向量机技术，允许对单个细菌进行快速、可靠和无损的在线识别方法。
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.