Center for Microbial Ecology and Technology (CMET), Department of Biotechnology, Ghent University, Ghent, Belgium.
Center for Advanced Process Technology for Urban Resource Recovery (CAPTURE), Ghent, Belgium.
Microb Biotechnol. 2024 Jul;17(7):e14532. doi: 10.1111/1751-7915.14532.
Over time, humanity has addressed microbial water contamination in various ways. Historically, individuals resorted to producing beer to combat the issue. Fast forward to the 19th century, and we witnessed a scientific approach by Robert Koch. His groundbreaking gelatine plating method aimed to identify and quantify bacteria, with a proposed limit of 100 colony-forming units per millilitre (CFU/mL) to avoid Cholera outbreaks. Despite considerable advancements in plating techniques through experimentation with media compositions and growth temperatures, the reliance on a century-old method for water safety remains the state-of-the-art. Even though most countries succeed in producing qualitative water at the end of the production centres, it is difficult to control, and guarantee, the same quality during distribution. Rather than focusing solely on specific sampling points, we propose a holistic examination of the entire water network to ensure comprehensive safety. Current practices leave room for uncertainties, especially given the low concentrations of pathogens. Innovative methods like flow cytometry and flow cytometric fingerprinting offer the ability to detect changes in the microbiome of drinking water. Additionally, molecular techniques and emerging sequencing technologies, such as third-generation sequencing (MinION), mark a significant leap forward, enhancing detection limits and emphasizing the identification of unwanted genes rather than the unwanted bacteria/microorganisms itself. Over the last decades, there has been the realization that the drinking water distribution networks are complex ecosystems that, beside bacteria, comprise of viruses, protozoans and even isopods. Sequencing techniques to find eukaryotic DNA are necessary to monitor the entire microbiome of the drinking water distribution network. Or will artificial intelligence, big data and machine learning prove to be the way to go for (microbial) drinking water monitoring? In essence, it is time to transcend century-old practices and embrace modern technologies to ensure the safety of our drinking water from production to consumption.
随着时间的推移,人类已经用各种方式来解决微生物水污染问题。从历史上看,人们曾通过酿造啤酒来应对这一问题。时间快进到 19 世纪,我们见证了罗伯特·科赫(Robert Koch)的科学方法。他开创性的明胶平板法旨在识别和量化细菌,建议将每毫升 100 个菌落形成单位(CFU/mL)作为限制,以避免霍乱爆发。尽管通过对培养基组成和生长温度的实验,在平板技术方面取得了相当大的进展,但仍依赖于一个世纪前的方法来保障水的安全性。尽管大多数国家都成功地在生产中心生产出了定性水,但在分配过程中很难控制和保证相同的质量。我们建议不仅要关注特定的采样点,还要对整个水网络进行全面检查,以确保全面的安全。当前的实践存在不确定性,特别是考虑到病原体的低浓度。像流式细胞术和流式细胞指纹图谱这样的创新方法提供了检测饮用水微生物组变化的能力。此外,分子技术和新兴的测序技术,如第三代测序(MinION),标志着重大的飞跃,提高了检测限,并强调了识别不需要的基因,而不是不需要的细菌/微生物本身。在过去的几十年里,人们已经意识到饮用水分配网络是复杂的生态系统,除了细菌,还包括病毒、原生动物,甚至等足类动物。需要测序技术来寻找真核 DNA,以监测饮用水分配网络的整个微生物组。或者人工智能、大数据和机器学习将被证明是(微生物)饮用水监测的未来之路?从本质上讲,现在是时候超越百年的实践,采用现代技术来确保从生产到消费的饮用水安全了。
Microb Biotechnol. 2024-7
J Water Health. 2015-6
Water Res. 2011-12-8
Elife. 2021-1-19
Microb Biotechnol. 2025-1
Microb Biotechnol. 2024-2
Sci Total Environ. 2024-2-20