Development of online algae counting technique for avoiding musty odor in drinking water

开发避免饮用水霉味的在线藻类计数技术

• 批准号: 22K14352
• 负责人: ブアバー サンドリンルーシーパスカル
• 金额: $ 2.91万
• 依托单位: Nagasaki University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Early-Career Scientists
• 财政年份: 2022
• 资助国家: 日本
• 起止时间: 2022-04-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-22K14352/
• 关键词: drinking water; algae; odor; monitoring

The criteria (dimensions, shape, fluorescence intensity) for automatically identifying one odor-producing algae (2-MIB producing cyanobacteria) was established for quantification using phycocyanin auto-fluorescence. The use of a phycocyanin filter allows to separate cyanobacteria from the rest of algae. As a result, the accuracy for quantifying the concentrations of odor-producing algae has been considerably improved. Different flow cells for feeding samples were tested to automate the analysis and sample preparations. A suitable flow cell was integrated into the microscope. Different flux were tested to avoid algae clusters. The pump was programmed with different intervals to allow for algae settling before image capture. By using a programmed pump and the time-lapse capture module of the microscope, it was possible to take images of the samples automatically.

建立了利用藻蓝蛋白自发荧光定量检测产臭藻类（产2-MIB蓝藻）的标准（尺寸、形状、荧光强度）。藻蓝蛋白过滤器的使用允许从藻类的其余部分分离蓝藻。结果，用于量化产生气味的藻类的浓度的准确性已经大大提高。测试了用于进料样品的不同流动池，以使分析和样品制备自动化。将合适的流动池集成到显微镜中。试验了不同的通量以避免藻类聚集。泵被编程为具有不同的间隔，以允许藻类在图像捕获之前沉降。通过使用编程泵和显微镜的延时捕获模块，可以自动拍摄样品的图像。

项目成果

Monitoring of 2-MIB Producing Cyanobacteria (Pseudanabaena sp.) in Drinking Water Sources by Automated Cell Imaging Using Phycocyanin Fluorescence

使用藻蓝蛋白荧光通过自动细胞成像监测饮用水源中产生 2-MIB 的蓝藻（Pseudanabaena sp.）

• 发表时间: 2023
• 作者: 滝本祐也;幡本将史;山口隆司;玉木秀幸;鍋島国彦;Sandrine Boivin; Takahiro Fujioka; Eri Hasegawa; Dabide Yamaguchi
• 通讯作者: Sandrine Boivin; Takahiro Fujioka; Eri Hasegawa; Dabide Yamaguchi