This research was undertaken to optimize the Se(IV) adsorption from aqueous solutions by Cyperus laevigatus biomass and green-synthesized nanosilver (AgNPs). A full 2⁴ factorial experimental design was utilized to distinguish the effects of pH, initial metal concentration (C_o), adsorbent dose concentration (C. laevigatus biomass, X₁ & AgNPs, X₂) and contact time (t). Response surface methodology (RSM) was also applied to assess the factors interactions. The influence of selected variables on Se(IV) uptake capacity was studied and a factorial model was designed to detect the variables’ effects and their interactions. The range of pH was 2–8, C_o was 100–400 mg L⁻¹, X₁ was 1–5 g L⁻¹, X₂ was 0.025–0.1 g L⁻¹ and t was 1–8 h. The significant effects for Se(IV) adsorption on C. laevigatus biomass were ascribed to pH, C_o, pH.X, and pH.C_o.X, while in case of AgNPs, C_o and X₂ were detected. Normal distribution was noted between the model values (predicted) and the observed (experimental). RSM design revealed the same results obtained from factorial design. The characterization of both sorbents by TEM revealed that the granulated texture of AgNPs possesses high porosity and clear surface that precedes the high sorption capacity of Se(IV).

进行了这项研究以优化香附子生物质和绿色合成纳米银（AgNPs）从水溶液中吸附Se（IV）的能力。一个完整的2 ⁴被利用阶乘实验设计来区分pH值的影响，初始金属浓度（C _Ò），吸附剂剂量浓度（Ç。laevigatus生物质，X ₁＆的AgNPs，X ₂）和接触时间（t）。响应面方法（RSM）也用于评估因素之间的相互作用。研究了所选变量对Se（IV）吸收能力的影响，并设计了析因模型来检测变量的作用及其相互作用。pH范围为2–8，C _o为100-400 mg L ^-1，X ₁为1-5 g L ^-1，X ₂为0.025-0.1 g L ^-1，t为1-8 h。对于硒（IV）的吸附效果显著C. laevigatus生物量归因于pH值，C _Ò，pH.X和pH.C _ö .X，而在的AgNPs的情况下，C _Ò和X ₂被检测到。在模型值（预测值）和观察值（实验值）之间记录了正态分布。RSM设计揭示了从析因设计获得的相同结果。TEM对两种吸附剂的表征表明，AgNPs的颗粒状结构具有较高的孔隙率和清晰的表面，这要高于Se（IV）的高吸附能力。