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利用低成本培养基对静态培养中的细菌纳米纤维素发酵进行响应面统计优化。

Response surface statistical optimization of bacterial nanocellulose fermentation in static culture using a low-cost medium.

机构信息

CEB- Centre of Biological Engineering, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal.

School of Materials Science and Engineering, East China Jiaotong University, Nanchang, 330013, China.

出版信息

N Biotechnol. 2019 Mar 25;49:19-27. doi: 10.1016/j.nbt.2018.12.002. Epub 2018 Dec 6.

Abstract

This work aimed at the optimization of bacterial nanocellulose (BNC) production by static culture, using Komagataeibacter xylinus BPR 2001 (K. xylinus). Response surface methodology - central composite design was used to evaluate the effect of inexpensive and widely available nutrient sources, namely molasses, ethanol, corn steep liquor (CSL) and ammonium sulphate, on BNC production yield. The optimized parameters for maximum BNC production were % (m/v): molasses 5.38, CSL 1.91, ammonium sulphate 0.63, disodium phosphate 0.270, citric acid 0.115 and ethanol 1.38% (v/v). The experimental and predicted maximum BNC production yields were 7.5 ± 0.54 g/L and 6.64 ± 0.079 g/L, respectively and the experimental and predicted maximum BNC productivity were 0.829 ± 0.046 g/L/day and 0.734 ± 0.079 g/L/day, after 9 days of static culture fermentation, at 30 °C. The effect of surface area and culture medium depth on production yield and productivity were also studied. BNC dry mass production increased linearly with surface area, medium depth and fermentation time. So long as nutrients were still available in the culture media, BNC mass productivity was constant. The results show that a high BNC production yield can be obtained by static culture of K. xylinus BPR 2001 using a low-cost medium. These are promising conditions for the static industrial scale BNC production, since as compared to agitated bioreactors, higher productivities may be reached, while avoiding high capital and operating costs.

摘要

本工作旨在通过静态培养,使用木醋杆菌 BPR 2001(K. xylinus)来优化细菌纳米纤维素(BNC)的生产。响应面法-中心复合设计用于评估廉价且广泛可用的营养源,即糖蜜、乙醇、玉米浆(CSL)和硫酸铵,对 BNC 生产产量的影响。最大 BNC 生产的优化参数为%(m/v):糖蜜 5.38、CSL 1.91、硫酸铵 0.63、磷酸二氢钠 0.270、柠檬酸 0.115 和乙醇 1.38%(v/v)。实验和预测的最大 BNC 生产产量分别为 7.5±0.54g/L 和 6.64±0.079g/L,实验和预测的最大 BNC 生产力分别为 0.829±0.046g/L/天和 0.734±0.079g/L/天,在 30°C 下进行 9 天的静态培养发酵后。还研究了表面积和培养基深度对生产产量和生产力的影响。BNC 干质量产量随表面积、培养基深度和发酵时间呈线性增加。只要培养基中仍有营养物质,BNC 质量生产力就保持不变。结果表明,通过使用低成本培养基对 K. xylinus BPR 2001 进行静态培养,可以获得高的 BNC 生产产量。这些条件对于静态工业规模的 BNC 生产很有前景,因为与搅拌生物反应器相比,可能达到更高的生产力,同时避免高的资本和运营成本。

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