The waste soot particles emitted from a diesel engine were studied as a dye adsorbent for water treatment. The input parameters were optimized using response surface methodology to achieve the maximum removal of dye methylene blue (MB). Experiments were conducted according to three‐level Box–Behnken Design with three factors time, pH, and initial concentration of dye in the solution. Further, analysis of variance analysis was carried out to find the level of significance of each parameter toward dye removal. Finally, for 0.05 g of diesel soot in a 50 ml solution, the maximum dye removal predicted was more than 99%. The basic medium (pH 12) found was favorable for the adsorption of MB. Also, 96% of detergent was removed in 60 min. Langmuir isotherm model and Pseudo‐second‐order kinetic model were most suitable for equilibrium and kinetic studies, respectively, for the removal of MB on diesel exhaust emission soot.

中文翻译：

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使用响应面法优化柴油机尾气排放烟灰的染料去除

研究了从柴油机排放的废烟灰颗粒作为染料吸附剂用于水处理。使用响应表面方法对输入参数进行了优化，以实现染料亚甲基蓝（MB）的最大去除。实验根据三级Box-Behnken设计进行，其中三个因素包括时间，pH和溶液中染料的初始浓度。此外，进行方差分析以发现每个参数对染料去除的显着性水平。最后，对于50毫升溶液中的0.05克柴油机烟ot，预计最大染料去除率超过99％。发现的碱性介质（pH 12）有利于MB的吸附。同样，在60分钟内去除了96％的洗涤剂。Langmuir等温线模型和伪二级动力学模型最适合平衡和动力学研究，