In this research, biosorption of Lead using spent Gelidiella acerosa from synthetic aqueous phase was studied in batch and fixed bed modes. Biosorbent was prepared from waste biomass of Gelidiella acerosa after extraction of agar as a model industrial waste recycle. The process efficiency and optimum lead uptake were evaluated by considering initial pH, lead concentration, and biosorbent dosage as process variables and contact time and temperature as fixed parameters. Central composite design of Response Surface Methodology was used to optimize process parameters and ANOVA showed that initial pH of lead solution significantly influences the biosorption. Interaction effects of different process parameters on process efficiency were analyzed with the help of surface response plots. The highest lead biosorption of 90.75% was noticed at optimum conditions of pH 5.15, initial lead concentration 27.35 mg L⁻¹ and biosorbent dosage 0.04 g. Various kinetic equations were used to analyze the biosorption mechanism and found that metal binding is due to chemical reaction with multi stage mass transfer. Langmuir isotherm was found to be well fitted to equilibrium data. Column studies were also conducted to assess the suitability of the process to continuous operations. The most popular Thomas and Yoon nelson models were used to evaluate the fitness of column studies. Biosorbent was characterized using FTIR and SEM to determine surface functional groups and surface texture.

中文翻译：

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废 Gelidiella acerosa（海洋大型藻类）的铅生物吸附性能评估：优化、等温线、动力学和柱研究

在本研究中，以分批和固定床模式研究了使用来自合成水相的废弃Gelidiella acerosa对铅的生物吸附。生物吸附剂是从Gelidiella acerosa 的废弃生物质中制备的琼脂提取后作为工业废物回收利用的典范。通过将初始 pH 值、铅浓度和生物吸附剂剂量作为工艺变量，将接触时间和温度作为固定参数来评估工艺效率和最佳铅吸收率。响应面方法的中心复合设计用于优化工艺参数，方差分析表明铅溶液的初始 pH 值显着影响生物吸附。借助表面响应图分析了不同工艺参数对工艺效率的交互作用。在 pH 5.15、初始铅浓度 27.35 mg L ^{-1 的}最佳条件下注意到最高的铅生物吸附率为 90.75%和生物吸附剂用量0.04克。各种动力学方程被用来分析生物吸附机制，发现金属结合是由于多阶段传质的化学反应。发现朗缪尔等温线与平衡数据非常吻合。还进行了柱研究以评估该过程对连续操作的适用性。最流行的 Thomas 和 Yoon nelson 模型用于评估柱研究的适合度。使用 FTIR 和 SEM 表征生物吸附剂以确定表面官能团和表面纹理。