Department of Research, Institute of Technology, Sligo, Ireland.
Water Sci Technol. 2012;65(5):875-82. doi: 10.2166/wst.2012.918.
Most research on wastewater treatment efficiency compliance focuses on physicochemical and microbial indicators; however, very little emphasis has been placed so far on determining suitable indicator organisms to predict the discharge level of pathogens from treatment plants. In this study, raw wastewater, activated sludge, and the resulting final effluents and biosolids in four municipal wastewater treatment plants (WWTPs A, B, C and D) were seasonally investigated for human-virulent water-borne pathogens Cryptosporidium parvum/hominis and Giardia duodenalis, and microsporidia (e.g. Encephalitozoon hellem, E. intestinalis, and Enterocytozoon bieneusi) between 2008 and 2009. A suite of potential microbial indicators for human-virulent protozoa and microsporidia was also determined. A combination of multiple fluorescent in situ hybridization and immunofluorescent antibody assays were applied to detect Cryptosporidium oocysts, Giardia cysts, and microsporidian spores. Escherichia coli, enterococci and Clostridium perfringens spores were cultivated in selective media. Positive correlations were found between the abundance of enterococci and E. coli and abundance of Cryptosporidium oocysts (r(s) > 0.47, p < 0.01) and Giardia cysts (r(s) > 0.44, p < 0.01) at WWTPs A-D. Cryptosporidium perfringens spores were positively correlated to Cryptosporidium oocysts (r(s) = 0.40, p < 0.01) and Giardia cysts (r(s) = 0.46, p < 0.01). There was a strong positive correlation between abundance of Giardia cysts and that of Cryptosporidium oocysts (r(s) > 0.89, p < 0.01). To sum up, a suite of faecal indicator bacteria can be used as indicators for the presence of Cryptosporidium oocysts and Giardia cysts in these activated-sludge systems (WWTPs A, B and C). Overall, Giardia duodenalis was noted to be the best Cryptosporidium indicator for human health in the community-based influent wastewater and throughout the treatment process.
大多数关于废水处理效率合规性的研究都集中在理化和微生物指标上;然而,迄今为止,很少有人强调确定合适的指示生物来预测处理厂中病原体的排放水平。在这项研究中,2008 年至 2009 年期间,季节性调查了四个城市污水处理厂(A、B、C 和 D)的原废水、活性污泥以及最终的出水和生物固体中的人类致病水源性病原体隐孢子虫/人隐孢子虫和贾第鞭毛虫以及微孢子虫(如脑炎微孢子虫、肠微孢子虫和肠微孢子虫)。还确定了一套用于人类致病原生动物和微孢子虫的潜在微生物指标。应用多重荧光原位杂交和免疫荧光抗体检测法组合来检测隐孢子虫卵囊、贾第鞭毛虫包囊和微孢子虫孢子。大肠埃希氏菌、肠球菌和产气荚膜梭菌孢子在选择性培养基中培养。在 WWTPs A-D 中,发现肠球菌和大肠埃希氏菌的丰度与隐孢子虫卵囊(r(s) > 0.47,p < 0.01)和贾第鞭毛虫包囊(r(s) > 0.44,p < 0.01)的丰度之间存在正相关关系。产气荚膜梭菌孢子与隐孢子虫卵囊(r(s) = 0.40,p < 0.01)和贾第鞭毛虫包囊(r(s) = 0.46,p < 0.01)呈正相关。贾第鞭毛虫包囊的丰度与隐孢子虫卵囊的丰度之间存在很强的正相关关系(r(s) > 0.89,p < 0.01)。总之,在这些活性污泥系统(WWTPs A、B 和 C)中,可以使用一套粪便指示菌作为隐孢子虫卵囊和贾第鞭毛虫包囊存在的指示物。总的来说,贾第鞭毛虫被认为是社区污水和整个处理过程中对人类健康的最佳隐孢子虫指示物。