Facultad de Ciencias Químicas, Universidad Autónoma de Nuevo León, Av. Universidad s/n, Cd. Universitaria, San nicolás de los Garza, NL 66451, México.
J Environ Manage. 2012 Mar;95 Suppl:S77-82. doi: 10.1016/j.jenvman.2011.01.004. Epub 2011 Feb 3.
An experimental design methodology was applied to study the effects of temperature, pH, biomass dose, and stirring speed on copper removal from aqueous solutions by Aspergillus terreus in a biosorption batch system. To identify the effects of the main factors and their interactions on copper removal efficiency and to optimize the process, a full 2(4) factorial design with central points was performed. Four factors were studied at two levels, including stirring speed (50-150 min(-1)), temperature (30-50°C), pH (4-6) and biosorbent dose (0.01-0.175 g). The main factors observed were pH and biomass dose, along with the interactions between pH and biomass, and stirring speed. The optimal operational conditions were obtained using a response surface methodology. The adequacy of the proposed model at 99% confidence level was confirmed by its high adjusted linear coefficient of determination (R(Adj)(2)=0.9452). The best conditions for copper biosorption in the present study were: pH 6, biosorbent dose of 0.175 g, stirring speed of 50 min(-1) and temperature of 50°C. Under these conditions, the maximum predicted copper removal efficiency was 68.52% (adsorption capacity of 15.24 mg/g). The difference between the experimental and predicted copper removal efficiency at the optimal conditions was 4.8%, which implies that the model represented very well the experimental data.
采用实验设计方法研究了温度、pH 值、生物量剂量和搅拌速度对 Aspergillus terreus 在生物吸附批处理系统中从水溶液中去除铜的影响。为了确定主要因素及其相互作用对铜去除效率的影响，并优化该过程，进行了带有中心点的完全 2(4)因子设计。研究了四个因素在两个水平，包括搅拌速度（50-150 min(-1))、温度（30-50°C）、pH 值（4-6）和生物吸附剂剂量（0.01-0.175 g）。观察到的主要因素是 pH 值和生物量剂量，以及 pH 值和生物量之间的相互作用以及搅拌速度。使用响应面法获得了最佳操作条件。该模型在 99%置信水平下的充分性通过其高调整线性系数的确定（R(Adj)(2)=0.9452）得到确认。在本研究中，铜生物吸附的最佳条件为：pH 值 6，生物吸附剂剂量 0.175 g，搅拌速度 50 min(-1)和温度 50°C。在这些条件下，最大预测铜去除效率为 68.52%（吸附容量为 15.24 mg/g）。在最佳条件下实验和预测铜去除效率之间的差异为 4.8%，这意味着该模型很好地代表了实验数据。
