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首页> 外文期刊>Arabian Journal for Science and Engineering >Removal of Congo Red from Aqueous Solution Using 'Perna viridis': Kinetic Study and Modeling Using Artificial Neural Network
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Removal of Congo Red from Aqueous Solution Using 'Perna viridis': Kinetic Study and Modeling Using Artificial Neural Network

机译：用'Perna viridis'去除水溶液中的刚果红：动力学研究和人工神经网络建模

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摘要

In this work, the removal of Congo red dye from its aqueous solution by a low-cost adsorbent obtained from Perna viridis sea shell, an aquacultural solid waste, was studied. Maximum removal of 98% of the dye was obtained with adsorbent dosage 22 g L-1, pH of 5.5, contact time of 30 min and temperature of 308.5 K. Various adsorption reaction models were investigated and found that the pseudo-second-order model best described the reaction kinetics. Further, the mechanism of adsorption was studied using the intra-particle diffusion model, and it was confirmed that the intra-particle diffusion and boundary layer diffusion were the rate-controlling factors. Artificial neural network model was developed for the prediction of the percentage removal of the dye from its aqueous solution, and the prediction was in agreement with the experimental results obtained. It was inferred that the adsorbent prepared from P. viridis having high thermal stability (600 degrees C), a surface area of 13.746 m(2) g(-1) and mean pore diameter 7.0625 nm should be an excellent alternative for the conventional adsorbent used for the removal of the carcinogenic dye such as Congo red from its aqueous solution at any operating condition.
机译：在这项工作中，研究了通过廉价的吸附剂从水溶液中去除刚果红染料的方法，该吸附剂是从水生养殖固体废物Perna viridis贝壳中获得的。吸附剂量为22 g L-1，pH为5.5，接触时间为30 min，温度为308.5 K时，最大去除率达到98％。研究了各种吸附反应模型，发现伪二级模型最能描述反应动力学。此外，使用粒子内扩散模型研究了吸附机理，并证实了粒子内扩散和边界层扩散是速率控制因素。建立了人工神经网络模型，用于预测染料从其水溶液中的去除率，该预测结果与实验结果相符。可以推断，由具有较高热稳定性（600摄氏度），表面积为13.746 m（2）g（-1）和平均孔径为7.0625 nm的绿色假单胞菌制备的吸附剂应该是常规吸附剂的优良替代品。用于在任何操作条件下从其水溶液中去除致癌染料，例如刚果红。

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