响应面法优化一株链霉菌对偶氮染料AR30的降解脱色条件

方继前; 郭亚平; 谢练武; 吴晓芙

环境化学

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方继前, 郭亚平, 谢练武, 吴晓芙. 响应面法优化一株链霉菌对偶氮染料AR30的降解脱色条件[J]. 环境化学, 2012, 31(10): 1604-1610.

引用本文:

方继前, 郭亚平, 谢练武, 吴晓芙. 响应面法优化一株链霉菌对偶氮染料AR30的降解脱色条件[J]. 环境化学, 2012, 31(10): 1604-1610.

FANG Jiqian, GUO Yaping, XIE Lianwu, WU Xiaofu. Optimization of microbial degradation and decolorization of disperse dye by Streptomyces sp. FX649 using Response Surface Methodology[J]. Environmental Chemistry, 2012, 31(10): 1604-1610.

Citation:

响应面法优化一株链霉菌对偶氮染料AR30的降解脱色条件

1.
中南林业科技大学理学院, 长沙, 410004
基金项目:
环保部公益性行业科研专项(200909066),湖南省教育厅科研项目(10C1338),校青年基金(QJ2008017B)资助.

Optimization of microbial degradation and decolorization of disperse dye by Streptomyces sp. FX649 using Response Surface Methodology

1.
School of Science, Central South University of Forestry and Technology, Changsha, 410004, China
Fund Project:

摘要: 以一株对偶氮染料红30(AR30)具有较强降解脱色作用的菌株Streptomyces sp. FX649为研究对象,在单因素实验基础上,选择染料初始浓度、培养时间、pH与培养温度为主要因素,采用Box-Benhnken组合实验和响应面分析法对降解条件进行了精确优化.经实验修正,获得了最佳降解脱色条件,即在染料浓度110 mg·L-1、培养时间36 h、pH 7.3与培养温度31.3 ℃时该菌对染料AR30的降解脱色率为95.1%.
- 偶氮染料 /
- 生物降解 /
- 响应面法
Abstract: It is difficult to obtain the optimal conditions on treating disperse azo dye wastewater, although biodegradation is very effective. Optimization of microbial degradation and decolorization was conducted using the Response Surface Methodology. One strain, identified as Streptomyces sp. FX649, had high potency in the degradation and decolorization of azo dye Red 30 (AR30). After obtaining the single-factor experiment results, AR30 concentration, culture time, pH and culture temperature were selected for Box-Benhnken composite designing. Response Surface Methodology (RSM) was employed to study the effect of these factors on the yield of decolorization. Combined with the actual tests, the results showed that the yield of decolorization of AR30 reached 95.1% under the optimal parameters with 110 mg·L-1 AR30 cultivating for 36 h under pH 7.3 at 31.3 ℃.
- disperse dye /
- biodegradation /
- Response Surface Methodology

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方继前, 郭亚平, 谢练武, 吴晓芙. 响应面法优化一株链霉菌对偶氮染料AR30的降解脱色条件[J]. 环境化学, 2012, 31(10): 1604-1610.

引用本文:

方继前, 郭亚平, 谢练武, 吴晓芙. 响应面法优化一株链霉菌对偶氮染料AR30的降解脱色条件[J]. 环境化学, 2012, 31(10): 1604-1610.

Citation:

响应面法优化一株链霉菌对偶氮染料AR30的降解脱色条件

1. 中南林业科技大学理学院, 长沙, 410004

收稿日期: 2012-01-25

基金项目:

环保部公益性行业科研专项(200909066),湖南省教育厅科研项目(10C1338),校青年基金(QJ2008017B)资助.

关键词:

摘要: 以一株对偶氮染料红30(AR30)具有较强降解脱色作用的菌株Streptomyces sp. FX649为研究对象,在单因素实验基础上,选择染料初始浓度、培养时间、pH与培养温度为主要因素,采用Box-Benhnken组合实验和响应面分析法对降解条件进行了精确优化.经实验修正,获得了最佳降解脱色条件,即在染料浓度110 mg·L-1、培养时间36 h、pH 7.3与培养温度31.3 ℃时该菌对染料AR30的降解脱色率为95.1%.

English Abstract

Optimization of microbial degradation and decolorization of disperse dye by Streptomyces sp. FX649 using Response Surface Methodology

1. School of Science, Central South University of Forestry and Technology, Changsha, 410004, China

Received Date: 2012-01-25

Fund Project:

Keywords:

Abstract: It is difficult to obtain the optimal conditions on treating disperse azo dye wastewater, although biodegradation is very effective. Optimization of microbial degradation and decolorization was conducted using the Response Surface Methodology. One strain, identified as Streptomyces sp. FX649, had high potency in the degradation and decolorization of azo dye Red 30 (AR30). After obtaining the single-factor experiment results, AR30 concentration, culture time, pH and culture temperature were selected for Box-Benhnken composite designing. Response Surface Methodology (RSM) was employed to study the effect of these factors on the yield of decolorization. Combined with the actual tests, the results showed that the yield of decolorization of AR30 reached 95.1% under the optimal parameters with 110 mg·L-1 AR30 cultivating for 36 h under pH 7.3 at 31.3 ℃.

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响应面法优化一株链霉菌对偶氮染料AR30的降解脱色条件

Optimization of microbial degradation and decolorization of disperse dye by Streptomyces sp. FX649 using Response Surface Methodology

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响应面法优化一株链霉菌对偶氮染料AR30的降解脱色条件

English Abstract

Optimization of microbial degradation and decolorization of disperse dye by Streptomyces sp. FX649 using Response Surface Methodology

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