Validation of MICA Legionella for Enumeration of Legionella pneumophila in Sanitary Waters and Cooling Tower Waters: AOAC Performance Tested MethodSM 032201

验证 MICA 军团菌对卫生用水和冷却塔水中嗜肺军团菌的计数:AOAC 性能测试方法 SM 032201

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作者:Fanny Passot, Sabine Peslier, M Joseph Benzinger, Jonathan Blackburn, Wesley Thompson, Benjamin Bastin, Audrey Dumont, Sam Dukan

Background

Frequent testing for Legionella concentration in water is required by most health risk monitoring organizations worldwide. Domestic hot water and cooling tower water networks must be regularly controlled to prevent Legionnaires' disease, a potentially deadly lung infection. MICA Legionella is the fastest culture-based detection method for all serogroups of Legionella pneumophila, with automatic enumeration in 48 h and no need for confirmation.

Conclusion

MICA Legionella is a highly sensitive and specific method for culturable L. pneumophila enumeration. It presents, in 48 hours, equivalent or better results than ISO 11731:2017. Its protocol is robust to variations. Its reagents kit is stable for up to 18 months. Highlights: MICA Legionella is a robust and reliable method for the enumeration of culturable L. pneumophila in domestic and cooling tower water. It reduces significantly the number of sample pretreatments required in ISO 11731:2017. Automatic identification and enumeration of L. pneumophila microcolonies eliminates the requirement to have skilled analysts and limits the results variability. It also greatly reduces the time to results to 48 h instead of 7-10 days with ISO 11731:2017 while providing statistically equivalent results.

Methods

MICA Legionella and ISO 11731:2017

Objective

This study compares the performance and robustness of MICA Legionella with the reference method ISO 11731:2017 for the enumeration of culturable L. pneumophila.

Results

Enumeration of L. pneumophila by MICA Legionella was statistically equivalent to ISO 11731:2017 in both matrixes. In cooling tower waters, MICA Legionella showed better sensitivity than ISO 11731:2017. It presented a 94% sensitivity and a 97% specificity.

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