Alharbi Reem Mohammed, Sholkamy Essam Nageh, Alsamhary Khawla Ibrahim, Abdel-Raouf Neveen, Ibraheem Ibraheem Borie M
Department of Biology, College of Science, University of Hafr Al Batin, Hafr Al Batin 39524, Saudi Arabia.
Department of Botany and Microbiology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.
Toxics. 2023 May 6;11(5):439. doi: 10.3390/toxics11050439.
This study examined the ability of the green microalgae to remove arsenic from aqueous solutions. A series of studies was conducted to determine the optimal conditions for biological arsenic elimination, including biomass amount, incubation time, initial arsenic level, and pH values. At 76 min, pH 6, 50 mgL metal concentration, and 1 gL bio-adsorbent dosage, the maximum removal of arsenic from an aqueous solution was 93%. The uptake of As (III) ions by reached an equilibrium at 76 min of bio-adsorption. The maximum adsorptive rate of arsenic (III) by was 55 mg/gm. The Langmuir, Freundlich, and Dubinin-Radushkevich equations were used to fit the experimental data. The best theoretical isotherm of Langmuir, Freundlich, or/and Dubinin-Radushkevich for arsenic bio-adsorption by was determined. To choose the best theoretical isotherm, the coefficient of correlation was used. The data on absorption appeared to be linearly consistent with the Langmuir (q = 45 mgg; R = 0.9894), Freundlich (k = 1.44; R = 0.7227), and Dubinin-Radushkevich (q = 8.7 mg/g; R = 0.951) isotherms. The Langmuir and Dubinin-Radushkevich isotherms were both good two-parameter isotherms. In general, Langmuir was demonstrated to be the most accurate model for As (III) bio-adsorption on the bio-adsorbent. Maximum bio-adsorption values and a good correlation coefficient were observed for the first-order kinetic model, indicating that it was the best fitting model and significant in describing the arsenic (III) adsorption process. SEM micrographs of treated and untreated algal cells revealed that ions adsorbed on the algal cell's surface. A Fourier-transform infrared spectrophotometer (FTIR) was used to analyze the functional groups in algal cells, such as the carboxyl group, hydroxyl, amines, and amides, which aided in the bio-adsorption process. Thus, has great potential and can be found in eco-friendly biomaterials capable of adsorbing arsenic contaminants from water sources.
本研究考察了绿色微藻从水溶液中去除砷的能力。进行了一系列研究以确定生物除砷的最佳条件，包括生物量、孵育时间、初始砷水平和pH值。在76分钟、pH值为6、金属浓度为50mg/L以及生物吸附剂用量为1g/L时，水溶液中砷的最大去除率为93%。生物吸附76分钟时，对As(III)离子的摄取达到平衡。对砷(III)的最大吸附速率为55mg/g。使用Langmuir、Freundlich和Dubinin-Radushkevich方程拟合实验数据。确定了Langmuir、Freundlich或/和Dubinin-Radushkevich用于生物吸附砷的最佳理论等温线。为选择最佳理论等温线，使用了相关系数。吸附数据似乎与Langmuir（q = 45mg/g；R = 0.9894）、Freundlich（k = 1.44；R = 0.7227）和Dubinin-Radushkevich（q = 8.7mg/g；R = 0.951）等温线呈线性一致。Langmuir和Dubinin-Radushkevich等温线都是良好的双参数等温线。总体而言，Langmuir被证明是生物吸附剂对As(III)生物吸附最准确的模型。对于一级动力学模型，观察到最大生物吸附值和良好的相关系数，表明它是最佳拟合模型，并且在描述砷(III)吸附过程中具有重要意义。处理过和未处理的藻类细胞的扫描电子显微镜图像显示，离子吸附在藻类细胞表面。使用傅里叶变换红外光谱仪（FTIR）分析藻类细胞中的官能团，如羧基、羟基、胺和酰胺，这些官能团有助于生物吸附过程。因此，该绿色微藻具有很大潜力，可用于能从水源中吸附砷污染物的环保型生物材料。
