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

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。

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.