Optimization of sugar utilization by Azotobacter chroococcum in large scale fermentation for biomass production using response surface methodology

Kishan Patel, Pradeep K. Singh, Prem Pal Yadav, Vishal Kumar Mevada, Binal Rahate, Veerendra Singh Nagoria
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Abstract

A statistical model was developed in this study to describe biomass production through a fermentation process of . Response surface methodology (RSM) based on central composite CCD was employed to statistically evaluate and optimize the conditions for maximum biomass production and study the significance and interaction of Sucrose, KHPO and FeSO concentration of Jensson’s media on production of biomass. In the current study biomass optimize up to 13.4 g sucrose from 20g, KHPO 1.05g and FeSO 0.14g which give same biomass of . Thereby, sucrose cons different 6.6g in one liter, while compare with economic production cost at prize different Rs 4.3.00 for one liter. Also, for the production in e 300 liter fermenter Sucrose prize different was Rs 1292.00 per batch. Thereby, study has significantly optimize for quality purpose as well as prove to be economic.
利用响应面法优化嗜绿固氮菌大规模发酵产生物质过程中糖的利用
在本研究中建立了一个统计模型来描述通过发酵过程的生物质生产。采用基于中心复合CCD的响应面法(RSM)对最大生物量产量条件进行统计评价和优化,研究Jensson培养基中蔗糖、KHPO和FeSO浓度对生物量产量的影响及其相互作用。在本研究中,蔗糖用量为20g, KHPO用量为1.05g, FeSO用量为0.14g,可使生物量达到13.4 g。因此,每升蔗糖的含量相差6.6克,而与经济生产成本相比,每升蔗糖的成本相差4.3.00卢比。此外,300升发酵罐生产的蔗糖奖金为每批1292.00卢比。因此,该研究在达到质量目的的同时,也具有显著的经济性。
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