Department of Biological, Geological and Environmental Sciences (BiGeA), University of Bologna, Via S'Alberto 163, 48123 Ravenna, Italy.
Interdepartmental Centre for Industrial Research in Renewable Resources, Environment, Sea and Energy (CIRI-FRAME), University of Bologna, Via S'Alberto 163, 48123 Ravenna, Italy.
Int J Environ Res Public Health. 2022 Oct 28;19(21):14075. doi: 10.3390/ijerph192114075.
The use of multi-wavelength spectrofluorometers for the fast detection of algal taxa, based on chlorophyll (Chl-) emission spectra, has become a common practice in freshwater water management, although concerns about their accuracy have been raised. Here, inter-laboratory comparisons using monoalgal cultures have been performed to assess the reliability of different spectrofluorometer models, alongside Chl- extraction methods. Higher Chl- concentrations were obtained when using the spectrofluorometers than extraction methods, likely due to the poor extraction efficiencies of solvents, highlighting that traditional extraction methods could underestimate algal or cyanobacterial biomass. Spectrofluorometers correctly assigned species to the respective taxonomic group, with low and constant percent attribution errors (Chlorophyta and Euglenophyceae 6-8%, Cyanobacteria 0-3%, and Bacillariophyta 10-16%), suggesting that functioning limitations can be overcome by spectrofluorometer re-calibration with fresh cultures. The monitoring of a natural phytoplankton assemblage dominated by Chlorophyta and Cyanobacteria gave consistent results among spectrofluorometers and with microscopic observations, especially when cell biovolume rather than cell density was considered. In conclusion, multi-wavelength spectrofluorometers were confirmed as valid tools for freshwater monitoring, whereas a major focus on intercalibration procedures is encouraged to improve their reliability and broaden their use as fast monitoring tools to prevent environmental and public health issues related to the presence of harmful cyanobacteria.
多波长荧光分光光度计基于叶绿素(Chl)发射光谱,用于快速检测藻类分类群,已成为淡水管理中的常用方法,尽管对其准确性的担忧已经提出。在这里,使用单藻培养物进行了实验室间比较,以评估不同荧光分光光度计模型的可靠性,以及 Chl 提取方法。使用荧光分光光度计比提取方法获得了更高的 Chl 浓度,这可能是由于溶剂的提取效率差,突出表明传统的提取方法可能低估了藻类或蓝藻的生物量。荧光分光光度计正确地将物种分配到相应的分类群,低且恒定的百分比归属误差(Chlorophyta 和 Euglenophyceae 为 6-8%,Cyanobacteria 为 0-3%,Bacillariophyta 为 10-16%),表明通过用新鲜培养物重新校准可以克服荧光分光光度计的功能限制。对以绿藻和蓝藻为主的天然浮游植物组合的监测结果在荧光分光光度计和显微镜观察之间一致,尤其是当考虑细胞生物量而不是细胞密度时。总之,多波长荧光分光光度计被确认为淡水监测的有效工具,而鼓励重点关注内部校准程序以提高其可靠性,并扩大其作为快速监测工具的使用范围,以防止与有害蓝藻存在相关的环境和公共卫生问题。