12th June 2014 Content supplied by: ceeram
Fast, Economical Detection of Norovirus for Routine Labs
ceeram has launched two new kits for the detection and identification of Norovirus genogroups I and II (NoV GI & NoV GII) from food and environmental samples. With increasing European and international regulations, routine laboratories can now choose all-in-one, ready-to-use tools that combine flexibility and ease-of-use with less false positives whilst offering an excellent price/quality ratio.
World leaders in food virology, specializing in the production of detection and identification kits for emerging and atypical microbial agents, ceeram has expanded its offering with these two new innovative kits for the detection and identification of norovirus genogroups I and II, which are responsible for most gastroenteritis of viral origin. These multiplex real-time RT-PCR detection kits allow routine food and environmental laboratories to identify the presence of these pathogens in one unique standardized test.
Tools for Routine Laboratory Use With now four different ceeramTools® Norovirus kits (2 simplex, 1 Screening, 1 Duplex), ceeram provides laboratories with the largest specific range dedicated to norovirus detection. High performing and cost-effective, those kits combine fast results with sensitivity, reliability and robustness, with the continuous aim of protecting public health.
Screening Kit - norovirus@ceeramTools™ - Item Number KPNOV This first-line kit rapidly screens in one well, for the presence of norovirus in food and environmental samples so that the laboratory can determine if a contamination risk exists. Available in September 2014.
Duplex Kit - noroGI-GII@ceeramTools™ - Item Number KNVGIGII Using just one run in a single well, this kit identifies and quantifies the two norovirus genogroups (GI and GII) potentially present in food and environmental samples. Molecular biology laboratories benefit from significant cost savings and improved efficiency as only one analysis is required for the detection and identification of both parameters. Available in September 2014.
Date Published: 12th June 2014
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