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作 者:郑锐东[1]
机构地区:[1]揭阳职业技术学院实训中心,广东揭阳522000
出 处:《生物技术》2012年第6期77-82,共6页Biotechnology
基 金:广东省科技攻关项目(No.2012B02042003);揭阳职业技术学院2011科研基金项目(No.JYCKY1005)资助~~
摘 要:目的:为研究黄孢原毛平革菌(P.chrysosporium AS5.776)液态分批发酵产木素过氧化物酶(LiP)发酵动力学规律,实现其发酵过程的优化,达到进一步提高酶产量。方法:对P.chrysosporium AS5.776进行5L液态分批发酵,根据发酵过程中菌体生长、基质消耗及LiP形成规律,基于Logistic方程和Luedeking-Piret方程建立了P.chrysosporium AS5.776液态分批发酵的过程动力学模型,并对模型进行了参数拟合、方差分析及验证比较。结果:模型模拟计算结果与实验值能较好地吻合,R2分别为0.9891、0.995 6和0.992 5,模型显著性极高。验证实验显示所构建模型平均相对误差分别为2.9%、3.6%和12.5%。结论:该模型能较好揭示木素过氧化物酶发酵代谢过程的特征,可为工业化应用提供理论依据。Objective:To clarify the characteristics of P. chrysosporium in batch fermentation for Lignin peroxidases (LiP) ,optimize the fer- mentation process, and improve LiP production. Method: Liquid state batch fermentation for LiP production by P. chrysosporium ASS. 776 was carried out. According to the Logistic equation and the Luedeking - Piret equation, the kinetic models of liquid state batch fermentation for mycelial growth, substrate consumption and LiP production were developed based on the experimental results. The model parameters were correlated from the experimental data. ANOVA and verification test were carried out to test the models. Result:The calculated values of the model were in good agreement with the experimental data for R2 was 0. 989 1,0. 995 6 and 0. 992 5, respectively. ANOVA results showed that models were significant,and verification test result showed that the average relative error was 2. 9% ,3.6% and 12. 5% re- spectively. Conclusion:Kinetic models can really reflect process of the LiP batch fermentation and provide the theoretical base and meth- ods for industrial application.
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