Institute of Computing Science and Technology, Guangzhou University, Guangzhou 510006, China.
Department of Neurosurgery, University of Florida, Gainesville, FL, USA.
Ultrason Sonochem. 2020 Nov;68:104460. doi: 10.1016/j.ultsonch.2019.01.018. Epub 2019 Jan 22.
The aim of this study was ultrasound assisted removal of Ceftriaxone sodium (CS) based on CCD model. Using sonochemical synthesized BiWO implanted on graphitic carbon nitride/Multiwall carbon nanotube (g-CN/MWCNT/BiWO). For this purpose g-CN/MWCNT/BiWO was synthesized and characterized using diverse approaches including XRD, FE-SEM, XPS, EDS, HRTEM, FT-IR. Then, the contribution of conventional variables including pH, CS concentration, adsorbent dosage and ultrasound contact time were studied by central composite design (CCD) under response surface methodology (RSM). ANOVA was employed to the variable factors, and the most desirable operational conditions mass provided. Drug adsorption yield of 98.85% obtained under these defined conditions. Through conducting five experiments, the proper prediction of the optimum point were examined. The respective results showed that RSD% was lower than 5% while the t-test confirmed the high quality of fitting. Langmuir isotherm equation fits the experimental data best and the removal followed pseudo-second order kinetics. The estimation of the experimentally obtained maximum adsorption capacities was 19.57 mg.g of g-CN/MWCNT/BiWO for CS. Boundary layer diffusion explained the mechanism of removal via intraparticle diffusion.
本研究旨在基于 CCD 模型，利用超声辅助去除头孢曲松钠（CS）。采用超声化学合成的 BiWO 负载在石墨相氮化碳/多壁碳纳米管（g-CN/MWCNT/BiWO）上。为此，采用多种方法合成和表征了 g-CN/MWCNT/BiWO，包括 XRD、FE-SEM、XPS、EDS、HRTEM、FT-IR。然后，通过响应面法（RSM）下的中心复合设计（CCD）研究了常规变量（包括 pH、CS 浓度、吸附剂用量和超声接触时间）的贡献。采用方差分析（ANOVA）对变量因素进行了分析，并确定了最佳操作条件。在这些定义的条件下，药物吸附率达到了 98.85%。通过进行五次实验，检验了最优点的正确预测。各自的结果表明，RSD%低于 5%，而 t 检验证实了拟合的高质量。Langmuir 等温线方程最能拟合实验数据，去除过程遵循拟二级动力学。通过实验获得的最大吸附容量估计为 19.57mg.g 的 g-CN/MWCNT/BiWO 对 CS 的吸附容量。边界层扩散解释了通过颗粒内扩散进行去除的机制。
