Mundra Piyushkumar, Desai Kiran, Lele S S
Department of Food Engineering and Technology, Institute of Chemical Technology, Nathalal Parikh Marg, Matunga (E), Mumbai 400 019, India.
Bioresour Technol. 2007 Nov;98(15):2892-6. doi: 10.1016/j.biortech.2006.09.046. Epub 2006 Nov 17.
Response surface methodology (RSM), based on multivariate non-linear model, was applied to study the interactions and optimization of the immobilization parameters for cell entrapment, namely alginate concentration, cell loading and bead diameter using Erwinia rhapontici NCPPB 1578 that produced palatinose. ANOVA analysis and statistical parameters calculations showed that RSM could be used effectively to model and improve a complex system like cell immobilization. Palatinose yield was increased by 40%. The maximum yield of 140 mg/ml was achieved in a batch of 1h at alginate concentration of 5% w/v, cell loading of 5 g l(-1) and 2.25 mm bead diameter. Thus, the E. rhapontici NCPPB 1578 immobilization in alginate bead and subsequent palatinose yield was successfully improved by application of RSM technique.
基于多元非线性模型的响应面法（RSM）被用于研究细胞包埋固定化参数（即海藻酸钠浓度、细胞负载量和珠粒直径）之间的相互作用并进行优化，使用的是产帕拉金糖的莱茵衣藻NCPPB 1578。方差分析和统计参数计算表明，响应面法可有效地用于对细胞固定化这样的复杂系统进行建模和改进。帕拉金糖产量提高了40%。在海藻酸钠浓度为5% w/v、细胞负载量为5 g l(-1) 且珠粒直径为2.25 mm的条件下，批次反应1小时可实现140 mg/ml的最大产量。因此，通过应用响应面法技术成功提高了莱茵衣藻NCPPB 1578在海藻酸钠珠粒中的固定化效果以及随后的帕拉金糖产量。
