Bioengineering and Environmental Centre, CSIR-Indian Institute of Chemical Technology, Hyderabad 500 607, India.
Bioresour Technol. 2013 Jan;128:409-16. doi: 10.1016/j.biortech.2012.10.037. Epub 2012 Oct 26.
Optimizing different factors is crucial for enhancement of mixed culture bioplastics (polyhydroxyalkanoates (PHA)) production. Design of experimental (DOE) methodology using Taguchi orthogonal array (OA) was applied to evaluate the influence and specific function of eight important factors (iron, glucose concentration, VFA concentration, VFA composition, nitrogen concentration, phosphorous concentration, pH, and microenvironment) on the bioplastics production. Three levels of factor (2(1) × 3(7)) variation were considered with symbolic arrays of experimental matrix [L(18)-18 experimental trails]. All the factors were assigned with three levels except iron concentration (2(1)). Among all the factors, microenvironment influenced bioplastics production substantially (contributing 81%), followed by pH (11%) and glucose concentration (2.5%). Validation experiments were performed with the obtained optimum conditions which resulted in improved PHA production. Good substrate degradation (as COD) of 68% was registered during PHA production. Dehydrogenase and phosphatase enzymatic activities were monitored during process operation.
优化不同因素对于提高混合培养生物塑料（聚羟基烷酸酯（PHA））的产量至关重要。使用 Taguchi 正交数组（OA）设计实验（DOE）方法，评估了八个重要因素（铁、葡萄糖浓度、VFA 浓度、VFA 组成、氮浓度、磷浓度、pH 值和微环境）对生物塑料产量的影响和具体作用。考虑了因素（2(1) × 3(7))变化的三个水平，实验矩阵的符号数组为[L(18)-18 个实验试验]。所有因素都分配了三个水平，除了铁浓度（2(1)）。在所有因素中，微环境对生物塑料产量的影响最大（占 81%），其次是 pH 值（11%）和葡萄糖浓度（2.5%）。使用获得的最佳条件进行验证实验，结果提高了 PHA 的产量。在 PHA 生产过程中，记录了良好的底物降解（COD）率为 68%。在过程操作过程中监测了脱氢酶和磷酸酶的酶活性。
