Uşak University, Engineering Faculty, Department of Chemical Engineering, Uşak, 64300, Turkey.
Uşak University, Engineering Faculty, Department of Electrical and Electronics Engineering, Uşak, 64300, Turkey.
Chemosphere. 2022 Feb;288(Pt 2):132554. doi: 10.1016/j.chemosphere.2021.132554. Epub 2021 Oct 11.
Boron contamination in water resources (especially drinking waters and agricultural land) is a major problem for the ecosystem. In this study, a novel synthesized chitosan/functionalized-SWCNT-COOH was prepared to separate boron (as boric acid) from aqueous solutions. Scanning electron microscopy (SEM) and X-ray diffraction (XRD) analysis revealed that SWCNT was dispersed in chitosan homogenously. Moreover, this study has related to the constrained optimization problem with an engineering approach. Response surface method (RSM) with face-centered central composite design (FCCCD) was chosen for maximizing the adsorption capacity as well as determining optimal independent factors such as pH, adsorbent dose, and concentration of boric acid. The optimized response (adsorption capacity) was reached 62.16 mg g under the optimal conditions (98.77 mg L of boric acid concentration, pH of 5.46 and 76 min). The present study has indicated that the synthesized material can be used as an adsorbent for eliminating boric acid from aqueous solutions depending on its high adsorbent capacity to remove boron and has better performance than existing adsorbents. Furthermore, simulated annealing (SA) optimization technique was used to compare the findings of RSM. Moreover, the selected optimization techniques were compared with error functions. The optimal conditions derived from SA were 91.17 mg L of boric acid concentration, pH of 5.86, and 76.17 min. The optimal adsorption capacity of SA was found to be 62.06 mg g. These results revealed that the predictions of the two models are very close to each other.
硼污染水资源(尤其是饮用水和农业用地)是生态系统的主要问题。在这项研究中,制备了一种新型的壳聚糖/功能化-SWCNT-COOH,用于从水溶液中分离硼(以硼酸的形式)。扫描电子显微镜(SEM)和 X 射线衍射(XRD)分析表明,SWCNT 均匀分散在壳聚糖中。此外,这项研究与工程方法相关,涉及约束优化问题。选择响应面法(RSM)和中心复合面设计(FCCCD)来最大化吸附容量,并确定最佳独立因素,如 pH 值、吸附剂剂量和硼酸浓度。在最佳条件下(硼酸浓度为 98.77 mg/L,pH 值为 5.46,吸附时间为 76 min),优化响应(吸附容量)达到 62.16 mg/g。本研究表明,合成材料可以用作从水溶液中去除硼酸的吸附剂,因为它具有高的吸附容量去除硼,并且性能优于现有的吸附剂。此外,还使用模拟退火(SA)优化技术来比较 RSM 的结果。此外,还比较了所选优化技术与误差函数。从 SA 得出的最佳条件是硼酸浓度为 91.17 mg/L,pH 值为 5.86,吸附时间为 76.17 min。SA 的最佳吸附容量为 62.06 mg/g。这些结果表明,两种模型的预测非常接近。