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响应曲面法优化脱氮副球菌的反硝化脱氮条件 被引量:4

Optimization of Influencing Factors of Denitrification of Paracoccus denitrificans by Response Surface Methodology
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摘要 为探究脱氮副球菌(Paracoccus denitrificans)对养殖废水的反硝化脱氮性能,在模拟废水条件下进行不同条件下脱氮性能研究。通过单因素试验,对温度、转速、pH、菌悬液投加量和反应时间5个影响因子进行研究。选取菌悬液投加量、转速和反应时间3个因素,通过响应曲面法进行优化。结果表明,在菌悬液投加量3.5 mg/L、转速140 r/min、反应时间17.5 h的条件下,反硝化脱氮效率为79.52%(预测值为79.98%)。采用优化后的培养条件进行脱氮验证,反硝化速率显著增加。脱氮副球菌作为一种好氧反硝化细菌,脱氮效果稳定。本研究可为Paracoccus denitrificans生物脱氮工程实践提供有益参考。 To assess the denitrification of nitrate by Paracoccus denitrificans in aquaculture wastewater,the denitrification performance under different conditions was investigated using simulative wastewater.At first,the effects of temperature,rotating speed,pH,inoculum amount and reaction time on the efficiency of nitrogen removal were studied by single factor experiment.Then,three significant factors,inoculum amount,rotating speed and reaction time,were selected and subjected to the combination optimization using Response Surface Methodology.The results showed that the optimal denitrification efficiency reached 79.52%(predicted value was79.98%)when the inoculum amount,rotating speed and reaction time were 3.5 mg/L,140 r/min and 17.5 h,respectively.In addition,the significantly increased efficiency of denitrification was validated under the optimized conditions.These findings indicated that P.denitrificans,an aerobic denitrifying bacteria,has stable denitrification effectiveness.Our research will provide valuable references for the engineering practices in biological denitrification using P.denitrificans.
作者 司圆圆 许开航 余祥勇 王梅芳 陈兴汉 Si Yuanyuan;Xu Kaihang;Yu Xiangyong;Wang Meifang;Chen Xinghan(Fisheries College,Guangdong Ocean University,Zhanjiang,524025;Yangjiang Vocational and Technical College,Yangjiang,529500)
出处 《基因组学与应用生物学》 CAS CSCD 北大核心 2020年第7期3103-3109,共7页 Genomics and Applied Biology
基金 广东省青年创新人才项目(2017GkQNCX095) 广东省科技发展专项(2016A020210115) 广东省渔港建设和渔业发展专项(B201601-Z08 Z2014005) 广东省扬帆计划重点人才工程(C0035000) 阳江市科技计划项目(2018017)共同资助。
关键词 脱氮副球菌 响应曲面法 生物脱氮 去除率 Paracoccus denitrificans Response surface methodology Biological nitrogen removal Removal rate
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