A facile technique for automatically counting odor-producing algae (Pseudanabaena sp.) in drinking water sources,Environmental Science: Water Research & Technology

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A facile technique for automatically counting odor-producing algae (Pseudanabaena sp.) in drinking water sources
Environmental Science: Water Research & Technology ( IF 3.5 ) Pub Date : 2021-4-5 , DOI: 10.1039/d1ew00101a
Sandrine Boivin ₁ , Eri Hasegawa ₂ , Dabide Yamaguchi ₂ , Takahiro Fujioka ₁

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The frequent analysis of the 2-methylisoborneol (2-MIB)-generating algae Pseudanabaena sp. for predicting odor occurrence in drinking water sources is a major challenge for many drinking water utilities. This study aims to establish a facile method for automatically determining the counts of Pseudanabaena sp. in lake water by site workers without requiring analytical skills. The analytical technique is based on observations of auto-fluorescence emitted from chlorophyll. The auto-fluorescence intensity of cyanobacteria, including Pseudanabaena sp., was relatively weak and uniform throughout the cells, whereas other algae such as diatoms and green algae showed a highly variable auto-fluorescence intensity in their cells, which allowed us to discriminate cyanobacteria from all other algae. Among cyanobacteria, the length and width of Pseudanabaena sp. are unique; thus, the criteria for recognizing only Pseudanabaena sp. among algae were developed based on its dimensions and fluorescence intensity. The developed auto-counting method was successfully validated by attaining a high correlation between the manually and automatically recorded Pseudanabaena sp. counts in lake water samples. Although the developed method can overestimate the Pseudanabaena sp. counts due to the presence of other similar-sized microorganisms, frequent on-site analysis using this facile method will play a role in providing early warnings of potential 2-MIB occurrence and enabling precautionary countermeasures at drinking water treatment plants.

中文翻译：

一种自动计算饮用水源中产生异味藻类（Pseudanabaena sp。）的简便技术

频繁分析生成2-甲基异冰片（2-MIB）的藻类Pseudanabaena sp。预测饮用水源中的异味是许多饮用水企业的主要挑战。这项研究旨在建立一种简便的方法来自动确定Pseudanabaena sp。的计数。现场工作人员在湖水中无需分析技能。分析技术基于对叶绿素发出的自发荧光的观察。蓝藻，包括假单胞菌的自发荧光强度sp。，在整个细胞中相对较弱且均匀，而其他藻类（例如硅藻和绿藻）在其细胞中显示出高度可变的自发荧光强度，这使我们能够将蓝细菌与所有其他藻类区分开。在蓝细菌中，Pseudanabaena sp。的长度和宽度。是独一无二的；因此，仅识别Pseudanabaena sp。的标准。根据藻类的大小和荧光强度来开发它们之间的关系。通过在手动和自动记录的Pseudanabaena sp。之间获得高度相关性，已成功验证了开发的自动计数方法。计数在湖水样本中。尽管已开发的方法可能高估了Pseudanabaenasp。由于存在其他类似大小的微生物，如果要进行计数，那么使用这种简便方法进行的频繁现场分析将在提供潜在的2-MIB发生的预警以及在饮用水处理厂采取预防措施的过程中发挥作用。

更新日期：2021-04-22

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