Saline oily wastewater is among the greatest environmental issues that requires effective treatment methods. The new trend of using natural coagulants to treat saline oily wastewater can help overcome the drawbacks of inorganic coagulants such as high costs, health risk, and large amounts of sludge. In the present study, the Lallemantia mucilage was used for the first time as a novel natural coagulant, which offered a remarkable performance in bilge water treatment at the optimum condition of coagulants dose = 10 mg/L, pH = 7.00, and contact time = 23.8 min with the maximum chemical oxygen demand (COD) removal efficiency of 87.57 % and influent COD of 1202.5 ± 8.5 mg/L. Also, at the optimum condition, Lallemantia mucilage could remove surfactant up to 20.6 % with influent concentration of 55 ± 0.4 mg/L. A quadratic polynomial with R² = 0.9943 for COD removal showed a satisfactory fit and consistency. The predictability of Multivariate Adaptive Regression Splines (MARS) method with $R^2$ = 0.95235 was significant compared to the Response Surface Methodology (RSM) with $R^2$ = 0.9599. The second-order kinetic equation performed better in terms of kinetic determination with k = 0.00009, E = 1.42776E+13, and $R^2$ = 0.9642 than the first-order model with k = 0.0159, E = 2.52237E+15, and $R^2$ = 0.9431.

含盐废水是最大的环境问题之一，需要有效的处理方法。使用天然混凝剂处理含盐废水的新趋势可以帮助克服无机混凝剂的缺点，例如成本高，健康风险和大量污泥。在本研究中，Lallemantia粘液首次用作新型天然凝结剂，在最佳凝结剂剂量= 10 mg / L，pH = 7.00和接触时间= 23.8分钟，最大化学需氧量（COD）去除效率为87.57％，进水COD为1202.5±8.5 mg / L。同样，在最佳条件下，Lallemantia粘液可去除高达20.6％的表面活性剂，进水浓度为55±0.4 mg / L。用于去除COD的R ² = 0.9943的二次多项式显示出令人满意的拟合度和一致性。具有的多元自适应回归样条（MARS）方法的可预测性。${\mathrm{[R}}^2$ 与响应面方法（RSM）相比，= 0.95235显着 ${\mathrm{[R}}^2$= 0.9599。在动力学确定方面，二阶动力学方程的性能更好，其中k = 0.00009，E = 1.42776E + 13和${\mathrm{[R}}^2$= 0.9642，比一阶模型的k = 0.0159，E = 2.52237E + 15和${\mathrm{[R}}^2$ = 0.9431。