Optimization of o-Chlorophenol Biodegradation by Combined Mycelial Pellets Using Response Surface Methodology

被引:11
作者
Dong, Yihua [1 ]
Li, Liang [2 ]
Hu, Xiaomin [2 ]
Wu, Chenghao [1 ]
机构
[1] Shenyang Univ, Coll Environm, Key Lab Ecorestorat Reg Contaminated Environm, Shenyang 110044, Liaoning, Peoples R China
[2] Northeastern Univ, Sch Resources & Civil Engn, Shenyang 110819, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
O-chlorophenol; Rhodopseudomonas palustris; Combined mycelial pellets; Biodegradation; Box-Behnken design; Optimization; IMMOBILIZED CELLS; DEGRADATION; REMOVAL; PHENOL; 4-CHLOROPHENOL; OXIDATION; 2-CHLOROPHENOL; PHENANTHRENE; PARAMETERS; REACTORS;
D O I
10.1007/s11270-017-3606-z
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the present study, the immobilizing fermentation characteristics and o-chlorophenol biodegradation of Rhodopseudomonas palustris using mycelial pellets as a biomass carrier were investigated. To improve the o-chlorophenol degradation efficiency of the combined mycelial pellets, eight cultivation variables including glucose concentration, yeast extract concentration, spore inoculum size, pH, and agitation speed were optimized with an integrated strategy involving a combination of statistical designs. First, Plackett-Burman experiments identified glucose, yeast extract, and spore inoculum size as three statistically significant factors important for o-chlorophenol removal. Then, the steepest ascent method was used to access the optimal region of these significant factors. Finally, response surface methodology by Box-Behnken optimization was used to examine the mutual interactions among these three variables to determine their optimal levels. The ideal culture conditions for maximum o-chlorophenol removal according to a second-order polynomial model were as follows: 15.60 g/L glucose, 3.09 g/L yeast extract, and 9% (v/v) spore inoculum size, resulting in an expected o-chlorophenol removal rate of 92.60% with an o-chlorophenol initial concentration of 50 mg/L and 96-h culture time. The correlation coefficient (R-2 = 0.9933) indicated excellent agreement between the experimental and predicted values, whereas a fair association was observed between the predicted model values and those obtained from subsequent experimentation at the optimized conditions.
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页数:13
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