There are two main objectives of this study: the first was to examine the performance of Cucurbita moschata as sorptive media for the removal of Reactive Red 250 dye compound as a function of contact time, concentration, pH, particle size, flow rate, and bed depth; the second was to demonstrate that Adaptive Neuro-Fuzzy Inference System can be effectively used as a tool to model breakthrough profiles in fixed-bed column systems. The breakthrough curves of Reactive Red 250 were investigated in a fixed-bed column under different conditions. Besides, the mechanism of Reactive Red 250 uptake was analyzed based on the results obtained from Fourier transform infrared spectroscopy. At different pHs, the adsorbents' electrophoretic mobilities were determined to get information about the adsorption process. The adsorbed quantity of Reactive Red 250 dyestuff decreased with the initial pH, particle size, and flow rate augmentation. The total pore volume and Brunauer, Emmett, and Teller (N₂) surface area of the particles were defined to be 0.0014 cm³/g and 1.06 m²/g, respectively. The highest observed and predicted bed capacities for Reactive Red 250 were 8.319–8.322 mg/g. The coefficient of determination and mean squared error for the optimal model were obtained to be 0.999 and 1.5 × 10⁻⁵. These findings indicate that the model can estimate the breakthrough profiles of Reactive Red 250 with high accuracy.

中文翻译：

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反应性红 250 染料在固定床柱中对西葫芦皮的吸附的自适应神经模糊推理系统建模

本研究有两个主要目标：第一个是检查Cucurbita moschata作为吸附介质，用于去除 Reactive Red 250 染料化合物，作为接触时间、浓度、pH、粒径、流速和床层深度的函数；第二个是证明自适应神经模糊推理系统可以有效地用作对固定床柱系统中的突破剖面进行建模的工具。在固定床柱中研究了不同条件下活性红 250 的穿透曲线。此外，基于傅里叶变换红外光谱的结果分析了活性红250的吸收机制。在不同的 pH 值下，吸附剂的电泳迁移率被确定以获取有关吸附过程的信息。活性红 250 染料的吸附量随着初始 pH 值、粒径和流速的增加而减少。₂ )颗粒的表面积分别定义为0.0014cm ³ /g和1.06m ² /g。活性红 250 的最高观察和预测床容量为 8.319–8.322 mg/g。获得最佳模型的决定系数和均方误差为0.999和1.5×10 ^-5。这些发现表明该模型可以高精度地估计活性红 250 的突破曲线。