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Medium Optimization for Exopolysaccharide Production in Liquid Culture of Endophytic Fungus Berkleasmium sp. Dzf12

机译:内生真菌Berkleasmium sp。液体培养中胞外多糖生产的培养基优化。 Dzf12

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摘要

Berkleasmium sp. Dzf12, an endophytic fungus from Dioscorea zingiberensis, is a high producer of spirobisnaphthalenes with various bioactivities. The exopolysaccharide (EPS) produced by this fungus also shows excellent antioxidant activity. In this study, the experimental designs based on statistics were employed to evaluate and optimize the medium for EPS production in liquid culture of Berkleasmium sp. Dzf12. For increasing EPS yield, the concentrations of glucose, peptone, KH2PO4, MgSO4·7H2O and FeSO4·7H2O in medium were optimized using response surface methodology (RSM). Both the fractional factorial design (FFD) and central composite design (CCD) were applied to optimize the main factors which significantly affected EPS production. The concentrations of glucose, peptone and MgSO4·7H2O were found to be the main effective factors for EPS production by FFD experimental analysis. Based on the further CCD optimization and RSM analysis, a quadratic polynomial regression equation was derived from the EPS yield and three variables. Statistical analysis showed the polynomial regression model was in good agreement with the experimental results with the determination coefficient (adj-R2) as 0.9434. By solving the quadratic regression equation, the optimal concentrations of glucose, peptone and MgSO4·7H2O for EPS production were determined as 63.80, 20.76 and 2.74 g/L, respectively. Under the optimum conditions, the predicted EPS yield reached the maximum (13.22 g/L). Verification experiment confirmed the validity with the actual EPS yield as 13.97 g/L, which was 6.29-fold in comparison with that (2.22 g/L) in the original basal medium. The results provide the support data for EPS production in large scale and also speed up the application of Berkleasmium sp. Dzf12.
机译:Berkleasmium sp。 Dzf12是来自盾Di薯Di的内生真菌,是具有各种生物活性的螺双萘的高产量生产者。这种真菌产生的胞外多糖(EPS)也显示出出色的抗氧化活性。在这项研究中,基于统计学的实验设计被用来评估和优化Berkleasmium sp。液体培养中EPS产生的培养基。 Dzf12。为了提高EPS产量,使用响应表面方法(RSM)优化了培养基中葡萄糖,蛋白ept,KH2PO4,MgSO4·7H2O和FeSO4·7H2O的浓度。分数阶乘设计(FFD)和中央复合设计(CCD)均用于优化显着影响EPS产量的主要因素。通过FFD实验分析发现,葡萄糖,蛋白ept和MgSO4·7H2O的浓度是影响EPS生成的主要因素。基于进一步的CCD优化和RSM分析,从EPS产量和三个变量得出了二次多项式回归方程。统计分析表明,多项式回归模型与实验结果吻合良好,测定系数(adj-R 2 )为0.9434。通过求解二次回归方程,确定用于EPS生产的葡萄糖,蛋白ept和MgSO4·7H2O的最佳浓度分别为63.80、20.76和2.74 g / L。在最佳条件下,预测的EPS产量达到最大值(13.22 g / L)。验证实验证实了有效性,实际EPS产量为13.97 g / L,是原始基础培养基中的2.22 g / L的6.29倍。结果为大规模生产EPS提供了支持数据,并加快了Berkleasmium sp。的应用。 Dzf12。

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