BioMASS Lab, School of Chemical Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia.
BioMASS Lab, School of Chemical Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia; Département des génies civil, géologique et des mines, École Polytechnique de Montréal, Montréal, Québec, H3T 1J4, Canada; UNSW Water Research Centre, School of Civil and Environmental Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia.
Water Res. 2019 Jan 1;148:86-96. doi: 10.1016/j.watres.2018.10.034. Epub 2018 Oct 15.
In situ fluorometers can be used as a real-time cyanobacteria detection tool to maintain safe drinking and recreational water standards. However, previous studies into fluorometers have established issues arising mainly from measurement inaccuracies due to green algae interference. Therefore, this study focusses on developing correction factors from a systematic study on the impact of green algae as an interference source. This study brings a novel technique where the chlorophyll-a (Chl-a) and phycocyanin measurements are used to correct the fluorometer output for interference bias; four fluorometers were tested against three key cyanobacterial species and the relationship between phycocyanin output, green algae and cyanobacteria concentrations were investigated. Good correlation (R > 0.9, p-value < 0.05) was found between the fluorometer phycocyanin output and increasing green algae concentration. The optimal correction method was selected for each of the fluorometer and cyanobacteria species pairs by validating against data from the investigation of green algae as an interference source. The correction factors determined in this study reduced the measurement error for almost all the fluorometers and species tested by 21%-99% depending on the species and fluorometer, compared to previous published correction factors in which the measurement error was reduced by approximately 11%-81%. Field validation of the correction factors showed reduction in fluorometer measurement error at sites in which cyanobacterial blooms were dominated by a single species.
原位荧光计可用作实时蓝藻检测工具,以维持安全的饮用水和娱乐用水标准。然而,先前对荧光计的研究已经确定了主要由于绿藻干扰导致测量不准确的问题。因此,本研究专注于开发校正因子,从对绿藻作为干扰源的影响的系统研究中得出。本研究带来了一种新的技术,即使用叶绿素-a(Chl-a)和藻蓝蛋白测量值来校正荧光计的输出以消除干扰偏差;本研究测试了四种荧光计对三种关键蓝藻物种的影响,并研究了藻蓝蛋白输出、绿藻和蓝藻浓度之间的关系。发现荧光计藻蓝蛋白输出与绿藻浓度的增加之间存在良好的相关性(R > 0.9,p 值 < 0.05)。通过验证绿藻作为干扰源的调查数据,为每种荧光计和蓝藻物种对选择了最佳的校正方法。与先前发表的校正因子相比,本研究确定的校正因子降低了几乎所有测试的荧光计和物种的测量误差,降低幅度为 21%-99%,具体取决于物种和荧光计。野外验证校正因子表明,在以单一物种为主的蓝藻水华的地点,荧光计的测量误差降低了。