In this study, a newly developed liquid-phase plasma discharge (LPPD) process was evaluated for removing methylene blue (MB) in water. Three independent variables, i.e., liquid flow rate (LF), air flow rate (AF), and MB concentration in water, were all tested at five levels (37, 68, 81, 94, and 103 mL/min for LF; 1, 2, 3, 4, and 5 L/min for AF; and 10, 30, 50, 70, and 90 mg/L for MB) using Central Composite Design (CCD) and Response Surface Methodology (RSM) to optimize the operation for the plasma reactor. The results showed that the regression model produced by the CCD/RSM analysis could adequately predict the MB removal rate of the LPPD process with a model p value of less than 0.0001. The uncertainty analysis further confirmed the error range for the regression model was from -3.93% to 0.63% in predicting the MB removal rate within the ranges of the three independent variables tested. The removal rates were all above *Address correspondence to Dr. Sarah Wu, Department of Biological Engineering, University of Idaho, 875 Perimeter Drive MS 0904, Moscow, ID 83844-0904. 99% for the MB concentrations experimented at LF 68 mL/min and AF 4 L/min. The results concluded that the novel LPPD process was effective in removing MB from dye wastewater.

在这项研究中，评估了新开发的液相等离子体放电（LPPD）工艺用于去除水中的亚甲基蓝（MB）。三个独立变量，即液体流速（LF），空气流速（AF）和水中的MB浓度，均以五个水平（LF的37、68、81、94和103 mL / min进行了测试； 1 ，AF，2、3、4和5 L / min； MB分别为10、30、50、70和90 mg / L），使用中央复合设计（CCD）和响应表面方法（RSM）优化操作用于等离子体反应器。结果表明，通过CCD / RSM分析生成的回归模型可以使用模型p充分预测LPPD工艺的MB去除率。值小于0.0001。不确定性分析进一步证实，在预测被测三个独立变量范围内的MB去除率时，回归模型的误差范围为-3.93％至0.63％。清除率均在上述范围内*地址对应于爱达荷大学生物工程学系Sarah Wu博士，地址为875 Perimeter Drive MS 0904，莫斯科，ID 83844-0904。MB浓度的99％以LF 68 mL / min和AF 4 L / min进行实验。结果表明，新型LPPD工艺可有效去除染料废水中的MB。