Tetteh Emmanuel Kweinor, Rathilal Sudesh
Green Engineering and Sustainability Research Group, Department of Chemical Engineering, Faculty of Engineering and The Built Environment, Durban University of Technology, Durban 4001, South Africa.
Bioengineering (Basel). 2022 Feb 26;9(3):95. doi: 10.3390/bioengineering9030095.
The continuous combustion of fossil fuels and industrial wastewater pollution undermines global environmental and socio-economic sustainability. Addressing this necessitates a techno-scientific revolution to recover the renewable energy potential of wastewater towards a circular economy. Herein, a developed biophotocatalytic (BP) system was examined with an engineered Fe-TiO2 to ascertain its degradability efficiency and biogas production from industrial wastewater. The response surface methodology (RSM) based on a modified Box-Behnken designed experiment was used to optimize and maximize the BP system’s desirability. The parameters investigated included catalyst dosage of 2−6 g and hydraulic retention time (HRT) of 1−31 d at a constant temperature of 37.5 °C and organic loading rate of 2.38 kgCOD/Ld. The modified RSM-BBD predicted 100% desirability at an optimal catalyst load of 4 g and HRT of 21 d. This represented 267 mL/d of biogas and >98% COD, color, and turbidity removal. The experimental validity was in good agreement with the model predicted results at a high regression (R2 > 0.98) and 95% confidence level. This finding provides an insight into RSM modeling and optimization with the potential of integrating the BP system into wastewater settings for the treatment of industrial wastewater and biogas production.
化石燃料的持续燃烧和工业废水污染破坏了全球环境和社会经济的可持续性。要解决这个问题，就需要一场技术科学革命，以恢复废水的可再生能源潜力，实现循环经济。在此，我们使用一种经过工程设计的铁掺杂二氧化钛（Fe-TiO₂）对已开发的生物光催化（BP）系统进行了研究，以确定其对工业废水的降解效率和沼气产量。基于改进的Box-Behnken设计实验的响应面方法（RSM）被用于优化并最大化BP系统的可取性。研究的参数包括在37.5°C的恒定温度和2.38 kgCOD/Ld的有机负荷率下，催化剂用量为2 - 6 g，水力停留时间（HRT）为1 - 31天。改进后的RSM-BBD预测，在最佳催化剂负载量为4 g和HRT为21天的情况下，可取性为100%。这意味着每天可产生267 mL沼气，对化学需氧量（COD）、颜色和浊度的去除率超过98%。在高回归系数（R²>0.98）和95%置信水平下，实验有效性与模型预测结果高度吻合。这一发现为RSM建模和优化提供了见解，并展示了将BP系统整合到废水处理环境中以处理工业废水和生产沼气的潜力。
