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Blighia sapida Waste Biochar in Batch and Fixed-Bed Adsorption of Chloroquine Phosphate: Efficacy Validation Using Artificial Neural Networks
ACS Omega ( IF 3.7 ) Pub Date : 2024-03-06 , DOI: 10.1021/acsomega.3c05008 Adejumoke Abosede Inyinbor 1, 2 , Deborah Temitope Bankole 1, 2 , Abimbola Peter Oluyori 1
ACS Omega ( IF 3.7 ) Pub Date : 2024-03-06 , DOI: 10.1021/acsomega.3c05008 Adejumoke Abosede Inyinbor 1, 2 , Deborah Temitope Bankole 1, 2 , Abimbola Peter Oluyori 1
Affiliation
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The present study investigated the potency of biochar prepared from Blighia sapida seedpods (BSSPs) in the uptake of chloroquine phosphate (CQP) from single-component batch and multicomponent fixed-bed adsorption systems. BSSPs presented a highly porous structure with a BET surface area of 1122.05 m2/g, to which adsorption efficiency correlated. The Dubinin–Radushkevich isotherm energy was obtained as 129.09 kJ/mol, confirming the chemisorption nature of the BSSP-CQP adsorption system. The efficiency of the artificial neural network (ANN) was evaluated using the lowest mean square error (MSE = 7.27) and highest correlation coefficient (R2 = 0.9910). A good agreement between the experimental results and the ANN-predicted data indicated the efficiency of the model. The percentage removal of 95.78% obtained for the column adsorption studies indicated the effectiveness of BSSPs in a multicomponent system. The mechanism of the interaction proceeded via hydrogen bonding and electrostatic attraction. This was confirmed by the high desorption efficiency (69.11%) with a HCl eluent. The degree of reversibility was found to be 2.95, indicating the reusability potential of BSSPs. BSSPs are therefore considered multilayered adsorbents with potential applications in pharmaceutical wastewater treatment.
中文翻译：
Blighia sapida 废物生物炭批量和固定床吸附磷酸氯喹：使用人工神经网络验证功效
本研究调查了从Blighia sapida籽荚 (BSSP) 制备的生物炭从单组分批量和多组分固定床吸附系统吸收磷酸氯喹 (CQP) 的效力。 BSSP 呈现出高度多孔的结构，BET 表面积为 1122.05 m 2 /g，其吸附效率与之相关。 Dubinin-Radushkevich 等温线能为 129.09 kJ/mol，证实了 BSSP-CQP 吸附系统的化学吸附性质。使用最低均方误差 (MSE = 7.27) 和最高相关系数 ( R 2 = 0.9910) 评估人工神经网络 (ANN) 的效率。实验结果与人工神经网络预测数据之间的良好一致性表明了该模型的效率。柱吸附研究获得的 95.78% 去除率表明 BSSP 在多组分系统中的有效性。相互作用的机制是通过氢键和静电引力进行的。 HCl 洗脱液的高解吸效率 (69.11%) 证实了这一点。可逆性程度为 2.95，表明 BSSP 具有可重用潜力。因此，BSSP 被认为是在制药废水处理中具有潜在应用的多层吸附剂。
更新日期：2024-03-06
中文翻译：
Blighia sapida 废物生物炭批量和固定床吸附磷酸氯喹：使用人工神经网络验证功效
本研究调查了从Blighia sapida籽荚 (BSSP) 制备的生物炭从单组分批量和多组分固定床吸附系统吸收磷酸氯喹 (CQP) 的效力。 BSSP 呈现出高度多孔的结构，BET 表面积为 1122.05 m 2 /g，其吸附效率与之相关。 Dubinin-Radushkevich 等温线能为 129.09 kJ/mol，证实了 BSSP-CQP 吸附系统的化学吸附性质。使用最低均方误差 (MSE = 7.27) 和最高相关系数 ( R 2 = 0.9910) 评估人工神经网络 (ANN) 的效率。实验结果与人工神经网络预测数据之间的良好一致性表明了该模型的效率。柱吸附研究获得的 95.78% 去除率表明 BSSP 在多组分系统中的有效性。相互作用的机制是通过氢键和静电引力进行的。 HCl 洗脱液的高解吸效率 (69.11%) 证实了这一点。可逆性程度为 2.95，表明 BSSP 具有可重用潜力。因此，BSSP 被认为是在制药废水处理中具有潜在应用的多层吸附剂。
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