Leriche Françoise, Bordessoules Amélie, Fayolle Karine, Karoui Romdhane, Laval Karine, Leblanc Ludovic, Dufour Eric
UPRES Typicité des Produits Alimentaires, ENITA Clermont-Ferrand, Site de Marmilhat, 63370 Lempdes, France.
J Microbiol Methods. 2004 Oct;59(1):33-41. doi: 10.1016/j.mimet.2004.05.009.
Thirty Pseudomonas spp. strains isolated from milk, water, cheese centre and cheese surface in two traditional workshops manufacturing raw milk St. Nectaire cheese were characterised by fluorescence spectroscopy and Biolog metabolic profiling. Factorial discriminant analysis (FDA) of the two data sets revealed clear linkages between groups of isolates. In the first workshop, milk could be incriminated as the sole source of cheese contamination. In the second one, milk and cheese centre isolates were found similar but surface cheese contaminants could be linked to a secondary contamination originating from water. Thus, it is possible to characterise, differentiate and trace Pseudomonas spp. strains using the fluorescence and metabolic profiling techniques. In addition, the two data sets were found highly correlated by canonical correlation analysis (CCA). Fluorescence spectroscopy however showed several advantages because of its low cost and processing speed.
从两个生产生牛奶圣内克泰尔奶酪的传统作坊的牛奶、水、奶酪中心和奶酪表面分离出30株假单胞菌属菌株,通过荧光光谱法和Biolog代谢谱分析对其进行了表征。对这两个数据集进行的因子判别分析(FDA)揭示了不同分离株组之间的明确联系。在第一个作坊中,牛奶可能被认定为奶酪污染的唯一来源。在第二个作坊中,发现牛奶和奶酪中心的分离株相似,但奶酪表面污染物可能与源自水的二次污染有关。因此,使用荧光和代谢谱分析技术可以对假单胞菌属菌株进行表征、区分和溯源。此外,通过典型相关分析(CCA)发现这两个数据集高度相关。然而,荧光光谱法因其成本低和处理速度快而具有几个优势。