本文已被:浏览 497次 下载 407次
Received:June 09, 2022 Published Online:February 20, 2023
Received:June 09, 2022 Published Online:February 20, 2023
中文摘要: 目的 探讨Legiolert酶底物法结合质谱法直接对环境样本水体中嗜肺军团菌定量检测分离的应用。方法 采集2021年7月至11月南京14家公共场所,其中包括宾馆饭店、休闲中心等集中空调冷却水18份,淋浴水30份等共计48份样本。利用Legiolert酶底物法直接对环境样本水体中嗜肺军团菌定量检测,并对分离培养的纯菌落结合质谱法,荧光定量PCR试验确认后血清学分型,与传统分离培养法相比较得出两种方法对环境样本的嗜肺军团菌检出率。结果 48份样本两种方法嗜肺军团菌检出率分别为8.33%(4/48)、31.25%(15/48),两种检测方法差异有统计学意义(χ2=5.37,P<0.05)。结论 Legiolert酶底物法结合质谱法对环境样本水体中嗜肺军团菌检出率明显高于传统分离培养法。
中文关键词: Legiolert酶底物法 质谱法 嗜肺军团菌 定量检测分离
Abstract:ObjectiveTo investigate the application of Legiolert enzyme-substrate method with mass spectrometry in direct quantitative detection and separation of Legionella pneumophila in environmental water samples. MethodsCollection of 14 public places in Nanjing from July 2021 to November 2021, including hotels and restaurants, leisure centers and other centralized air conditioning cooling water 18, shower water 30 and other total 48 samples. Legiolert enzyme-substrate method was used to detect Legionella pneumophila in water samples, and the isolated cultured pure colonies were identified for serological typing with mass spectrometry and fluorescence quantitative PCR test. The detection rate of Legionella pneumophila was compared with that by traditional isolated and cultured method. ResultsThe detection rates of Legionella pneumophila in 48 samples were 8.33% (4/48) by traditional method and 31.25% (15/48) by mass spectrometry and fluorescence quantitative PCR. There was a significantly difference in it between two detection methods (χ2=5.37, P<0.05). ConclusionLegiolert enzyme-substrate method combined with mass spectrometry shows obviously higher positive detection rate of Legionella pneumophila in environmental water samples compared with the traditional isolation and cultivation.
keywords: Legiolert enzyme-substrate method Mass spectrometry Legionella pneumophila Quantitative detection and separation
文章编号: 中图分类号: 文献标志码:B
基金项目:南京市卫生青年人才培养工程(QRX11127)
Author Name | Affiliation |
JIN Ping, GE Teng, YE Yan-hua, SI Jia-li, JIANG Xiao, ZHANG Hong-ying | Nanjing Center for Disease Control and Prevention, Nanjing, Jiangsu 210000, China |
Author Name | Affiliation |
JIN Ping, GE Teng, YE Yan-hua, SI Jia-li, JIANG Xiao, ZHANG Hong-ying | Nanjing Center for Disease Control and Prevention, Nanjing, Jiangsu 210000, China |
引用文本: