State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agriculture Sciences, Beijing, China.
Waste Manag Res. 2011 Dec;29(12):1262-70. doi: 10.1177/0734242X11398521. Epub 2011 Mar 29.
Waste vinegar residue, the by-product of vinegar processing, was used as substrate for phytase production from Aspergillus ficuum NTG-23 in solid-state fermentation to investigate the potential for the efficient re-utilization or recycling of waste vinegar residue. Statistical designs were applied in the processing of phytase production. First, a Plackett-Burman (PB) design was used to evaluate eleven parameters: glucose, starch, wheat bran, (NH(4))(2)SO(4), NH(4)NO(3), tryptone, soybean meal, MgSO(4)·7H(2)O, CaCl(2)·7H(2)O, FeSO(4)·7H(2)O, incubation time. The PB experiments showed that there were three significant factors: glucose, soybean meal and incubation time. The closest values to the optimum point were then derived by steepest ascent path. Finally, a mathematical model was created and validated to explain the behavioural process after these three significant factors were optimized using response surface methodology (RSM). The best phytase activity was attained using the following conditions: glucose (7.2%), soybean meal (5.1%), and incubation time (271 h). The phytase activity was 7.34-fold higher due to optimization by PB design, steepest ascent path design and RSM. The phytase activity was enhanced 0.26-fold in comparison with the results by the second step of steepest ascent path design. The results indicate that with waste vinegar residue as a substrate higher production of phytase from Aspergillus ficuum NTG-23 could be obtained through an optimization process and that this method might be applied to an integrated system for recycling of the waste vinegar residue.
醋糟是醋加工的副产物,可用作固态发酵生产里氏木霉 NTG-23 植酸酶的底物,以探索有效利用或回收醋糟的可能性。在植酸酶生产过程中采用统计设计。首先,采用 Plackett-Burman(PB)设计评价了 11 个参数:葡萄糖、淀粉、麦麸、(NH4)2SO4、NH4NO3、胰蛋白胨、豆粕、MgSO4·7H2O、CaCl2·7H2O、FeSO4·7H2O、培养时间。PB 实验表明有三个显著因素:葡萄糖、豆粕和培养时间。然后通过最陡爬坡路径得出最接近最佳点的值。最后,通过响应面法(RSM)优化这三个显著因素后,创建并验证了一个数学模型来解释行为过程。在以下条件下获得了最高的植酸酶活性:葡萄糖(7.2%)、豆粕(5.1%)和培养时间(271 h)。通过 PB 设计、最陡爬坡路径设计和 RSM 优化,植酸酶活性提高了 7.34 倍。与最陡爬坡路径设计的第二步的结果相比,植酸酶活性提高了 0.26 倍。结果表明,利用醋糟作为底物,通过优化过程可以从里氏木霉 NTG-23 中获得更高产量的植酸酶,并且该方法可应用于醋糟的回收综合系统。