溶藻细菌Chryseobaterium sp.S7控藻实验

摘要

In order to apply the algae-lysing bacterium Chryseobaterium sp.S7 in the water body repair project, based on the results of the single factor experiment, the response surface center points of the bacteria and Chl. a concentration were determined respectively, and taking removal rate of Chl.a in blue-green algae as the response value and the bacteria and Chl.a concentration as the influencing factors, this paper studied the interaction of the two important factors of the algae-lytic effect of Chryseobaterium sp.S7 by using the response surface methodology (RSM) of Central-Composite, and came to the quadratic polynomial model of Chl.a removal rate with the initial bacterial concentration and the water body Chl. a concentration. This model had the advantages of high significance (P<0.01) and good model fitting result (R2=0.9071), etc. When the initial concentration of bacteria was 9.46×106 cell/L and the initial concentration of Chl.a was 175.3 mg/m3, the theoretical removal rate of Chl.a was the largest (83.53％). The sink experiment also proved that the model had certain practicability. Bacterial dosage for waters with different water bloom types could be determined by using the model established in this paper, thus realizing the optimal algae control effect. The conclusion in this paper provided a theoretical basis for applying Chryseobaterium sp.S7 to control the water bloom pollution caused by blue-green algae.%为使溶藻细菌Chryseobaterium sp.S7在水体修复工程中得到科学应用,在单因素实验的基础上,确定细菌和Chl.a浓度的响应面中心点,以蓝绿藻Chl.a去除率为响应值,以细菌和Chl.a浓度为影响因素,采用Central-Composite响应曲面分析法,研究了影响Chryseobaterium sp.S7溶藻效应的2个重要因素的交互作用,得出Chl.a去除率与细菌初始浓度和水体Chl.a浓度的二次多项式模型.该模型具有显著性高(P<0.01),模型拟合度好(R2=0.9071)等优点.当细菌初始浓度为9.46×106cell/L、Chl.a初始浓度为175.3 mg/m3时,Chl.a理论去除率最大(83.53％).水槽实验也表明该模型具有一定实用性.针对不同水华水体,可以根据本文建立的模型确定细菌投放量,达到最优控藻效果.研究结果可为应用Chryseobaterium sp.S7控制蓝绿藻引起的水华污染提供参考.