Paracoccus sp. QD15-1发酵培养基优化
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摘要
Paracoccus sp. QD15-1是一株高效酞酸酯降解菌,在酞酸酯污染修复方面具有较好的利用前,而廉价发酵基质是应用于生产实践的前提。本实验以Paracoccus sp. QD15-1为研究对象,用爬坡法来确碳源、氮源和微量元素的最佳范围,通过响应面中心合成设计法优化发酵培养基。研究结果表明,最优的碳源为玉米面粉,氮源为大豆面粉;经爬坡实验确碳源、氮源和痕量元素分别为10,20,1.5mL/L;响应面实验确最优培养基基质为玉米面粉9.5 g/L、大豆面粉18.6 g/L和痕量元素1.64 mL/L,预测Paracoccus sp. QD15-1的菌落数4.67×109 CFU/mL,实测菌落数为4.5×109 CFU/mL。相较于DMP无机盐培养基菌量提高22.22%,廉价发酵培养基大幅降低生产成本,为大规模发酵生产Paracoccus sp. QD15-1提供重要技术支持。
Paracoccus sp. QD15-1 is a high-efficiency phthalate-degrading bacterium, which has a good utilization prospect in the recovery of phthalate pollution, and the cheap fermentation matrix is a prerequisite for production practice. In this experiment, Paracoccus sp. QD15-1 was used as the research object. The climbing slope method was used to determine the optimal range of carbon source, nitrogen source and trace elements. The fermentation medium was optimized by using the response surface center synthesis design method. The results show that the optimal carbon source is corn flour and the nitrogen source is soybean flour. The carbon source, nitrogen source and trace elements are determined by climbing test was 10 g/L, 20 g/L and 1.5 mL/L, respectively. the optimized medium composition was: corn flour 9.5 g/L, soybean flour 1.86 g/L and trace elements 1.64 mL/L, the number of colonies of Paracoccus sp. QD15-1 was 4.67×109 cfu/mL. Compared with the DMP inorganic salt medium, it increased by25.05%, which greatly reduced the production cost, and provided important technical support for the large-scale fermentation production of Paracoccus sp. QD15-1.
Paracoccus sp. QD15-1 is a high-efficiency phthalate-degrading bacterium, which has a good utilization prospect in the recovery of phthalate pollution, and the cheap fermentation matrix is a prerequisite for production practice. In this experiment, Paracoccus sp. QD15-1 was used as the research object. The climbing slope method was used to determine the optimal range of carbon source, nitrogen source and trace elements. The fermentation medium was optimized by using the response surface center synthesis design method. The results show that the optimal carbon source is corn flour and the nitrogen source is soybean flour. The carbon source, nitrogen source and trace elements are determined by climbing test was 10 g/L, 20 g/L and 1.5 mL/L, respectively. the optimized medium composition was: corn flour 9.5 g/L, soybean flour 1.86 g/L and trace elements 1.64 mL/L, the number of colonies of Paracoccus sp. QD15-1 was 4.67×109 cfu/mL. Compared with the DMP inorganic salt medium, it increased by25.05%, which greatly reduced the production cost, and provided important technical support for the large-scale fermentation production of Paracoccus sp. QD15-1.
引文
[1]姚雪松.邻苯二甲酸二(2-乙基己基)酯降解菌的分离鉴及降解特性研究[D].牡丹江:牡丹江师范学院, 2016
[2] Dickson S M, Siegrist M, Keller C, et al. Phthalate th exposure rough food and consumers risk perception of chemicals in food[J]. RiskAnal., 2009, 29(8):1170-1181
[3]高静.海洋微藻对酞酸酯的生物降解[D].天津:天津大学, 2015
[4]张可,龚迎旭,陈伟,等.生物强化SBR系统中邻苯二甲酸二甲酯的降解[J].环境科学与技术,2017(04):141-147
[5]徐伟慧,刘帅,王志刚.一株DMP降解菌的分离鉴及特性研究[J].农业环境科学学报, 2018, 37(08):1724-1732
[6] Ferreira S, Duarte A P, Ribeiro M H L, et al. Response surface optimization of enzymatic hydrolysis of Cistus ladanifer and Cytisusstriatus for bioethanol production.[J]. Biochemical Engineering Journal, 2009, 45(03):192-200
[7] Zhou J, Yu X, Ding C, et al. Optimization of phenol degradation by Candida tropicalis Z-04 using Plackett-Burman design andresponse surface methodology[J]. Journal of Environmental Sciences, 2011, 23(01):22-30
[8] Cyberkoi G.Approximation by superposition of asigmoidal function.Mathematics of Control Signals and Systems, 1989,2(04):303-314
[9]卢海强,谷新晰,李晨,等.响应面法优化棒状乳杆菌HS4廉价增殖培养基研究[J].河北农业大学学报, 2017, 40(02):51-55
[10]刘高强,王晓玲,韩文军,等.响应曲面法优化灵芝廉价型深层发酵培养基的研究[J].菌物学报, 2009, 28(06):825-831
[11]王洋,王志刚,王溪,等.响应面法和神经网络优化Acinetobactersp.DNS32发酵基质[J].环境工程学报, 2013, 7(02):791-795
[12]曹建平,戴友芝,张选军,等.微生物絮凝剂M-25廉价培养基的开发研究[J].湘潭大学自然科学学报, 2005, 27(03):84-86
[13]赵颖,罗璇,钟晓凌,等.响应面法优化产类胡萝卜素红酵母液体发酵培养基的研究[J].化学与生物工程,2007,24(12):39-42
[14]张冬冬,高同国,朱宝成.小麦全蚀病生防芽孢杆菌产芽孢培养基的响应面法优化[J].麦类作物学报, 2014, 34(03):418-424
[15] Witek-Krowiak A, Chojnacka K, Podstawczyk D, et al. Application of response surface methodology and artificial neural networkmethods in modelling and optimization of biosorption process[J]. Bioresource Technology, 2014, 160(05):150
[16] Zinsmeister A R. Statistics for Experimenters:An Introduction to Design, DataAnalysis, and Model Building, by G. E. P. Box, W. G.Hunter, and J. S. Hunter[J]. Medical Physics, 1998, 8(04):526-527
[2] Dickson S M, Siegrist M, Keller C, et al. Phthalate th exposure rough food and consumers risk perception of chemicals in food[J]. RiskAnal., 2009, 29(8):1170-1181
[3]高静.海洋微藻对酞酸酯的生物降解[D].天津:天津大学, 2015
[4]张可,龚迎旭,陈伟,等.生物强化SBR系统中邻苯二甲酸二甲酯的降解[J].环境科学与技术,2017(04):141-147
[5]徐伟慧,刘帅,王志刚.一株DMP降解菌的分离鉴及特性研究[J].农业环境科学学报, 2018, 37(08):1724-1732
[6] Ferreira S, Duarte A P, Ribeiro M H L, et al. Response surface optimization of enzymatic hydrolysis of Cistus ladanifer and Cytisusstriatus for bioethanol production.[J]. Biochemical Engineering Journal, 2009, 45(03):192-200
[7] Zhou J, Yu X, Ding C, et al. Optimization of phenol degradation by Candida tropicalis Z-04 using Plackett-Burman design andresponse surface methodology[J]. Journal of Environmental Sciences, 2011, 23(01):22-30
[8] Cyberkoi G.Approximation by superposition of asigmoidal function.Mathematics of Control Signals and Systems, 1989,2(04):303-314
[9]卢海强,谷新晰,李晨,等.响应面法优化棒状乳杆菌HS4廉价增殖培养基研究[J].河北农业大学学报, 2017, 40(02):51-55
[10]刘高强,王晓玲,韩文军,等.响应曲面法优化灵芝廉价型深层发酵培养基的研究[J].菌物学报, 2009, 28(06):825-831
[11]王洋,王志刚,王溪,等.响应面法和神经网络优化Acinetobactersp.DNS32发酵基质[J].环境工程学报, 2013, 7(02):791-795
[12]曹建平,戴友芝,张选军,等.微生物絮凝剂M-25廉价培养基的开发研究[J].湘潭大学自然科学学报, 2005, 27(03):84-86
[13]赵颖,罗璇,钟晓凌,等.响应面法优化产类胡萝卜素红酵母液体发酵培养基的研究[J].化学与生物工程,2007,24(12):39-42
[14]张冬冬,高同国,朱宝成.小麦全蚀病生防芽孢杆菌产芽孢培养基的响应面法优化[J].麦类作物学报, 2014, 34(03):418-424
[15] Witek-Krowiak A, Chojnacka K, Podstawczyk D, et al. Application of response surface methodology and artificial neural networkmethods in modelling and optimization of biosorption process[J]. Bioresource Technology, 2014, 160(05):150
[16] Zinsmeister A R. Statistics for Experimenters:An Introduction to Design, DataAnalysis, and Model Building, by G. E. P. Box, W. G.Hunter, and J. S. Hunter[J]. Medical Physics, 1998, 8(04):526-527
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