A flow-by fixed bed bioelectrochemical reactor was used for zinc removal from an aqueous solution. Response surface methodology (RSM) based on central composite design (CDD) was employed to study the effect of process parameters, such as applied voltage, initial zinc concentration, and pH, on the efficiency of zinc removal. To predict the relationship between the response of zinc removal efficiency (RE%) and its independent variables and to maximise this response, a quadratic model equation was established. The reliability of the quadratic model was confirmed by the high R² value (98.61%). The optimisation study revealed that the initial concentration of zinc was the most effective parameter in the zinc removal process because of its highest F-statistic value (331.59). Using RSM, the optimum conditions for maximum zinc removal were an applied voltage of 1.8 V, an initial zinc concentration of 15.9 mg/L, and a pH of 7.6. With these conditions, a high zinc RE% (90.5%) could be achieved at a specific energy consumption of 0.65 kWh/kg Zn with cathodic current efficiency of 99%.

流动固定床生物电化学反应器用于从水溶液中去除锌。采用基于中心复合设计 (CDD) 的响应面法 (RSM) 来研究工艺参数（如施加电压、初始锌浓度和 pH 值）对锌去除效率的影响。为了预测除锌效率 (RE%) 的响应与其自变量之间的关系并使该响应最大化，建立了二次模型方程。二次模型的可靠性由高 R ^2证实值（98.61%）。优化研究表明，锌的初始浓度是锌去除过程中最有效的参数，因为它的 F 统计值最高（331.59）。使用 RSM，最大锌去除的最佳条件是施加电压为 1.8 V，初始锌浓度为 15.9 mg/L，pH 为 7.6。在这些条件下，可以在 0.65 kWh/kg Zn 的特定能耗下实现高锌 RE%（90.5%），阴极电流效率为 99%。