基因工程菌Fhhh降解PTA废水性能与4因素水平优化

Optimal Levels of 4 Factors for Treatment of PTA Wastewater with GEM Fhhh

报道基因工程菌Fhhh及其亲株黄孢原毛平革真菌PC和土著细菌YZ1三菌株 ,在精对苯二甲酸 (purifiedterephthalicacid ,PTA)废水中的比降解率 ,受到pH、温度、总氮、总磷 4个因素影响的研究结果 .结果表明 ,每个菌株的比降解率与 4个因素之间 ,分别有局部优化值 .在局部优化数学模型的基础上 ,建立综合优化数学模型 ,计算出Fhhh和黄孢原毛平革真菌及土著细菌的最大比降解分别为 :0 .2 2 4、0 .16 7、0 .0 18h- 1 ;废水降解过程中能量的总变化分别为 :2 .33、1.4 2、0 .13J/ (g·h) ,均为正值 ,表明 3菌株降解PTA废水总过程是释放能量 ,可以连续进行 ,综合优化数学模型合理 .研究结果为建立高效处理废水的人工智能系统 。

The optimal levels of the 4 factors, pH, temperature, total nitrogen and total phosphorus, for the genetically engineered microorganism strain (GEMs) Fhhh and its parental strains of the native bacterium YZ1 and the fungus Phanerchaete chrysosporium (PC) in degradation of purified terephthalic acid(PTA) wastewater were conducted. The results showed that the 4 factors had their optimal levels for Fhhh, PC and YZ1 in degradation of the PTA wastewater respectively. On the basis of the 4 partial optimal mathematical models obtained, the multiply optimal mathematical models were also made while the 4 factors were all at their optimal levels. The highest values of the specific degradation rate for Fhhh, PC, YZ1 were 0.224, 0.167 and 0.018 h -1 respectively. Meanwhile, the amount of the changed energy were 2.33, 1.42 and 0.13 J/(g·h). The reaction of PTA wastewater degradation could happen continuously without the energy input. It suggested that the data would be useful for making an efficient artificial intelligence system to the optimization of the PTA wastewater treatment system.