基于响应面法的二苯并噻吩生物降解条件的优化

Optimization of Biodegradation of Dibenzothiophene Using Response Surface Methodology

  • 摘要: 对脱硫菌D4经菌株的形态特征和16S rDNA序列分析,初步鉴定为肠杆菌属(<em<Enterobacter</em< sp.). 为提高D4对二苯并噻吩的降解率,在单因素实验的基础上,采用响应面分析法(RSM)对降解条件进行建模优化,筛选出了转速、底物浓度和培养温度3个影响显著的因素. 确定了优化后的降解条件:转速175 r/min,二苯并噻吩浓度0.1 mmol/L,培养温度30 ℃. 优化后的降解率为59.83%,比优化前提高了近10%.

     

    Abstract: The strain D4 was identified as <em<Enterobacter</em< sp. according to its morphological characteristics and 16S rDNA sequence. Based on the single factor experiments, biodegradation conditions of the strain D4 were modeled and optimized by Plackett-Burman design (PB) and response surface method. The rotation speed, dibenzothiophene (DBT) concentration and reaction temperature were then selected as significant degradation factors. The optimal conditions for degradation were determined as follows:175 r/min of rotation speed, 0.1 mmol/L of dibenzothiophene concentration and 30 ℃ of culture temperature. Under the optimum conditions, the degradation rate was 59.83%, approximately 10% higher than that under original conditions.

     

/

返回文章
返回
Baidu
map