NSERC Industrial Chair on Drinking Water, Department of Civil, Geological, and Mining Engineering, Polytechnique Montreal, Montreal, Quebec, H3C 3A7, Canada; Canada Research Chair in Source Water Protection, Department of Civil, Geological, and Mining Engineering, Polytechnique Montreal, Montreal, Quebec, H3C 3A7, Canada.
Canada Research Chair in Source Water Protection, Department of Civil, Geological, and Mining Engineering, Polytechnique Montreal, Montreal, Quebec, H3C 3A7, Canada.
Water Res. 2019 Apr 1;152:241-250. doi: 10.1016/j.watres.2018.12.060. Epub 2019 Jan 11.
Microbiological water quality is traditionally assessed using culture-based enumeration of faecal indicator bacteria such as Escherichia coli. Despite their relative ease of use, these methods require a minimal 18-24 h-incubation step before the results are obtained. This study aimed to assess the suitability of an autonomous online fluorescence-based technology measuring β-glucuronidase (GLUC) activity for rapid near-real time monitoring of E. coli in water. The analytical precision was determined and compared to an automated microbial detection system, two culture-based assays and quantitative real-time PCR (qPCR). Using replicate measurements of grab samples containing E. coli concentrations between 50 and 2330 CFU.100 mL, the autonomous GLUC activity measurement technology displayed an average coefficient of variation (CV) of less than 5% that was 4-8-fold lower than other methods tested. Comparable precision was observed during online in situ monitoring of GLUC activity at a drinking water intake using three independent instruments. GLUC activity measurements were not affected by sewage or sediments at concentrations likely to be encountered during long-term monitoring. Furthermore, significant (p < 0.05) correlations were obtained between GLUC activity and the other assays including defined substrate technology (r = 0.77), membrane filtration (r = 0.73), qPCR (r = 0.55) and the automated microbial detection system (r = 0.50). This study is the first to thoroughly compare the analytical performance of rapid automated detection technologies to established culture and molecular-based methods. Results show that further research is required to correlate GLUC activity to the presence of viable E. coli as measured in terms of CFU.100 mL. This would allow the use of autonomous online GLUC activity measurements for rapid E. coli monitoring in water supplies used for drinking water production and recreation.
微生物水质传统上是使用基于培养的粪便指示菌(如大肠杆菌)计数来评估的。尽管这些方法相对易于使用,但在获得结果之前,需要进行最少 18-24 小时的孵育步骤。本研究旨在评估自主在线基于荧光的β-葡萄糖醛酸酶 (GLUC) 活性测量技术用于快速实时监测水中大肠杆菌的适用性。测定了分析精度,并与自动化微生物检测系统、两种基于培养的检测方法和定量实时 PCR (qPCR) 进行了比较。使用包含大肠杆菌浓度在 50 到 2330 CFU.100 mL 之间的随机水样进行重复测量,自主 GLUC 活性测量技术的平均变异系数 (CV) 小于 5%,比其他测试方法低 4-8 倍。在使用三个独立仪器对饮用水入口处的 GLUC 活性进行在线原位监测期间,观察到了类似的精度。GLUC 活性测量不受污水或沉积物的影响,这些浓度可能在长期监测期间遇到。此外,在 GLUC 活性与其他检测方法之间获得了显著(p < 0.05)相关性,包括定义底物技术(r = 0.77)、膜过滤(r = 0.73)、qPCR(r = 0.55)和自动化微生物检测系统(r = 0.50)。本研究首次彻底比较了快速自动检测技术与传统培养和分子方法的分析性能。结果表明,需要进一步研究将 GLUC 活性与以 CFU.100 mL 测量的存活大肠杆菌的存在相关联。这将允许使用自主在线 GLUC 活性测量来快速监测饮用水生产和娱乐用水供应中的大肠杆菌。