Influence of the medium conditions on enzymatic oxidation of bisphenol A
Influence of the medium conditions on enzymatic oxidation of bisphenol A
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培养基条件对双酚A酶促氧化的影响
DOI：
10.1002/cjce.21920
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
O. Yesilada
中科院分区：
文献类型：
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作者：
Zeki Yalcinkaya;Selim Gün;T. Şahan;E. Birhanli;N. Sahiner;N. Aktas;O. Yesilada
多步响应面法（RSM）成功地应用于优化双酚A（BPA）的酶促聚合的介质条件。用作催化剂的漆酶来源于Funalia trophobia（ATCC 200800）酵母培养物。通过响应面法研究了双酚A的酶促聚合速率，该速率是基于在封闭的分批系统中的初始溶解氧（DO）消耗速率的测量。首先通过Plackett-Burman设计（PBD）确定最有效的介质因素，即单体浓度（mg/L）、温度（°C）和溶剂含量（%甲醇），然后应用最陡上升结合中心复合设计（CCD）步骤来评估酶促聚合的最佳反应条件。最佳反应条件为单体浓度748.46 mg/L，反应温度32.24°C，溶剂含量15.92%。通过响应面法建立了二次模型来表示培养基中的溶解氧消耗量。最大溶解氧消耗速率计算为0.093 mg DO/L min。在最佳条件下进行了多次重复，以验证系统性能。从二次模型评估的数据与实验测量的数据吻合良好。数值之间的变化不超过10%。计算的相关系数R2为0.95，这表明95%的结果可以通过模型解释。
A multistep response surface methodology (RSM) was successfully applied to optimise the medium conditions for the enzymatic polymerisation of bisphenol A (BPA). The laccase enzyme used as the catalyst was derived from Funalia trogii (ATCC 200800) yeast culture. The enzymatic polymerisation rate of BPA, based on the measurements of the initial dissolved oxygen (DO) consumption rate in a closed batch system, was studied through RSM. Initially the most effective medium factors, which are monomer concentration (mg/L), temperature (°C) and solvent content (% methanol), were determined through Plackett–Burman Design (PBD), then the steepest ascent combined with central composite design (CCD) steps were applied to evaluate the optimal reaction conditions for the enzymatic polymerisation. The optimal conditions were evaluated to be 748.46 mg/L, 32.24°C and 15.92% for monomer concentration, temperature and solvent content, respectively. A quadratic model was developed through RSM to represent DO consumption in the medium. The maximum DO consumption rate was calculated to be 0.093 mg DO/L min. Several repetitions were conducted at the optimal conditions to validate the system performance. The data evaluated from the quadratic model were in good agreement with those measured experimentally. The variations between the values did not exceed 10%. The correlation coefficient, R2, was calculated to be 0.95, which indicates that 95% of results can be explained by model.