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生物表面活性剂产生菌的生长动力学研究及营养优化 被引量:2

Studies on the Growth Kinetics and Nutrition Optimization of Biosurfactant-producing Bacteria
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摘要 [目的]对产生物表面活性剂菌种BS-2的生长动力进行研究并对其发酵的营养条件进行优化。[方法]运用Monad、Haldane和Teissier模型对BS-2的生长动力学进行探讨,分别在不同单因素限制条件下对初始营养条件进行优化,并对初始营养中的碳源与氮源的质量比进行优化。[结果]表面活性剂产生菌BS-2在单因素营养条件受限时,菌体的最大生长量分别出现在碳源初始浓度为60g/L和氮源初始浓度为4g/L时,此时的特征生长率分别为0.0912h-1和0.092h-1,Teissier模型的回归参数与实际值最为接近,在碳源和氮源受限时的最大生长速率umax分别为0.0903h-1和0.0924h-1;而在保持相同的碳源初始浓度时,培养液的最小表面张力与菌体生长量分别出现在C/N=10和15时。[结论]BS-2对氮源比对碳源有更好的亲和性,C/N比能够较好地调节表面活性剂产生菌在增加自身生长量和产表面活性剂2种生长功能之间的平衡。 [Objective]The research aimed to study the growth kinetics of biosurfactant-producing bacteria BS-2 and optimize the nutritional conditions of its fermentation.[Method]The model of Monad,Haldane,and Teissier were used to analyze the growth dynamics of BS-2 and optimize the initial nutritional conditions and the mass ratio of carbon sources to nitrogen sources in initial nutrition under different single-factor restricted conditions.[Result]When the single initial nutritional conditions had been restricted,the maximum growth of biosurfactant-producing bacteria BS-2 occurred at the initial carbon concentration of 60 g/L and the initial concentration of nitrogen source of 4 g/L.And the characteristic growth rates were 0.091 2 h-1,and 0.092 h-1 respectively.The regression parameters of Teissier model is most similar to the actual value,the maximum growth ratio umax under restricted carbon sources and nitrogen sources were 0.090 3 h-1 and 0.092 4 h-1 respectively.At the same initial concentration of carbon source,the minimum surface tension and maximum growth of bacteria appeared at C/N = 10 and C/N =15.[Conclusion]The compatibility of nitrogen to BS-2 was stronger than that of carbon,and the balance between the growth of the microbe and the production of the bio-surfactant could be adjusted by the ratio of C/N.
作者 黄文 蒋志敏
出处 《安徽农业科学》 CAS 北大核心 2010年第8期4402-4404,共3页 Journal of Anhui Agricultural Sciences
关键词 枯草芽孢杆菌BS-2 生物表面活性剂 营养优化 生长动力学 Bacillus subtilis BS-2 Bio-surfactant Nutrition optimization Growth kinetics
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