Ghalhari Maryam Asadi, Mafigholami Roya, Takdastan Afshin, Khoshmaneshzadeh Behnoosh
Department of Environmental Science and Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran E-mail:
Environmental Technology Research Center, Ahvaz Jundishapur University of Medical Science, Ahvaz, Iran.
Water Sci Technol. 2022 Sep;86(5):1168-1180. doi: 10.2166/wst.2022.270.
This study aimed to examine the direct applicability of Spirulina maxima as a new conceptual method for removing total dissolved solids (TDS) from artificial industrial wastewater (AIW). In this study, live microalgal cells were used in a photobioreactor for TDS removal. The effects of TDS levels, pH, light intensity, and light retention time on microalgal growth and TDS removal were investigated, and optimal conditions were determined using the response surface method and Box-Behnken Design (RSM-BBD). The calculated values of coefficient of determination (R), adjusted R, and predicted R were 0.9754, 0.9508, and 0.636, respectively, which are close to the R values and validated the proposed statistical model. A second-order model could optimally determine the interactions between the studied variables according to the one-way analysis of variance (ANOVA). The results showed that increasing TDS levels reduced microalgal growth and TDS removal efficiency in AIW. S. maxima reduced TDS by 76% and 47% at TDS concentrations of 2,000-4,000 mg/L, respectively, when used in AIW. Maximum biomass efficiency (1.8 g/L) was obtained at a TDS concentration of 2,000 mg/L with other parameters optimized.
本研究旨在检验极大螺旋藻作为一种从人工工业废水（AIW）中去除总溶解固体（TDS）的新概念方法的直接适用性。在本研究中，活微藻细胞被用于光生物反应器中以去除TDS。研究了TDS水平、pH值、光照强度和光照停留时间对微藻生长和TDS去除的影响，并使用响应面法和Box-Behnken设计（RSM-BBD）确定了最佳条件。测定系数（R）、调整后的R和预测的R的计算值分别为0.9754、0.9508和0.636，这些值接近R值并验证了所提出的统计模型。根据单因素方差分析（ANOVA），二阶模型可以最佳地确定所研究变量之间的相互作用。结果表明，提高TDS水平会降低AIW中微藻的生长和TDS去除效率。当用于AIW时，极大螺旋藻在TDS浓度为2000 - 4000 mg/L时分别将TDS降低了76%和47%。在其他参数优化的情况下，TDS浓度为2000 mg/L时获得了最大生物量效率（1.8 g/L）。
