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中国生物工程杂志

China Biotechnology
China Biotechnology  2014, Vol. 34 Issue (10): 73-78    DOI: 10.13523/j.cb.20141012
    
Studies on the Measurement of Viable Biomass in the Optimization of Rifamycins SV Fermentation Process
LIU Ai-jun1, SHI Shou-kun1, LI Lan2, WANG Ping2,3, WANG Wei3, JIA Jun-qiao1, WANG Ze-jian2, LI Hai-dong1, ZHUANG Ying-ping2, ZHANG Si-liang2
1. Hebei Xingang Pharmaceutical Co., Ltd., Shijiazhuang 051530, China;
2. State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China;
3. Hebei Medical University Xishan Department, Shijiazhuang 050017, China
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Abstract  

The amount of viable biomass is an important physiological parameter, which is correlated with the cell growth, metabolism and productivity during the rifamycins SV fermentation process. The measurement of viable biomass was studied employing on-line Biomass Monitor. It was able to utilize the dielectric properties of cells, and the capacitance measurement was correlated well with the viable biomass concentration excluding the interference of solid materials. At the same time, there was close connections among the capacitance measurement, OUR, CER and mycelial morphology. The diauxic growth phenomenon in the former fermentation was detected using capacitance detection, and the slow-release nitrogen source soyben powder instead of the original expensive fast-release nitrogen source of peptone was used for rifamycins SV fermentation, successfully eliminated the diauxic growth caused by nitrogen source using the conversion of stagnation, the physiological parameters of OUR and CER reached and maintained at 14.8 and 15.3 mmol/L/h at early growth phase, significantly higher than that under peptone conditions for only 8.6 and 11.3 mmol/L/h, which promote the continued higher rifamycin SV biosynthesis, the fermentation titer reached to 5969 + 19 U/ml, which was 18.7% higher than that of control (5030 + 17 U/ml).



Key wordsRifamycins SV      Viable biomass      On-line Biomass Monitor      Capacitance measurement      Process optimization     
Received: 08 July 2014      Published: 25 October 2014
ZTFLH:  Q819  
Cite this article:

LIU Ai-jun, SHI Shou-kun, LI Lan, WANG Ping, WANG Wei, JIA Jun-qiao, WANG Ze-jian, LI Hai-dong, ZHUANG Ying-ping, ZHANG Si-liang. Studies on the Measurement of Viable Biomass in the Optimization of Rifamycins SV Fermentation Process. China Biotechnology, 2014, 34(10): 73-78.

URL:

https://manu60.magtech.com.cn/biotech/10.13523/j.cb.20141012     OR     https://manu60.magtech.com.cn/biotech/Y2014/V34/I10/73


[1] Carvell J P, Dowd J E. On-line measurements and control of viable cell density in cell culture manufacturing processes using radio-frequency impedance. 2006,50(3):35-48.

[2] Holwerda E K, Ellis L D, Lynd L R. Development and evaluation of methods to infer biosynthesis and substrate consumption in cultures of cellulolytic microorganisms. Biotechnology and Bioengineering, 2013,110(9):2380-2388.

[3] Arnold S A, Gaensakoo R, Harvey L M, et al. Use of at-line and in-situ near-infrared spectroscopy to monitor biomass in an industrial fed-batch Escherichia coli process. Biotechnology and Bioengineering, 2002, 80(4): 405-413.

[4] Liu J J, Li H, Zhang F, et al. Online impedance monitoring of yeast cell culture behaviors. Microelectronic Engineering, 2011, 88(8): 1711-1713.

[5] Kiviharju K, Salonen K, Moilanen U, et al. Biomass measurement online: the performance of in situ measurements and software sensors. Journal of Industrial Microbiology & Biotechnology, 2008, 35(7): 657-665.

[6] Wrona I E, Agouridas V, Panek J S. Design and synthesis of ansamycin antibiotics. Comptes Rendus Chimie, 2008, 11(11-12): 1483-1522.

[7] 张嗣良. 发酵过程多水平问题及其生物反应器装置技术研究——基于过程参数相关的发酵过程优化与放大技术. 中国工程科学, 2001, 3(8): 37-45. Zhang S L. Study on the fermentation process at multi-levels in bioreactor and aplication for special purposes——optimization and scaling up of the fermentation process based on the parameter correlation method. Engineering Science,2001,3:37-45.

[8] Zhang S, Chu J, Zhuang Y. A multi-scale study of industrial fermentation processes and their optimization. Adv Biochem Eng Biotechnol, 2004,87: 97-150.

[9] Hoffmann F, Schmidt M, Rinas U. Simple technique for simultaneous on-line estimation of biomass and acetate from base consumption and conductivity measurements in high-cell density cultures of Escherichia coli. Biotechnology and Bioengineering, 2000, 70(3): 358-361.

[10] Austin G D, Watson R W, D'Amore T. Studies of on-line viable yeast biomass with a capacitance biomass monitor. Biotechnology and Bioengineering, 1994, 43(4): 337-341.

[11] Krairak S, Yamamura K, Nakajima M, et al. On-line monitoring of fungal cell concentration by dielectric spectroscopy. Journal of Biotechnology, 1999, 69(2-3): 115-123.

[12] Cannizzaro C, Gugerli R, Marison I, et al. On-line biomass monitoring of CHO perfusion culture with scanning dielectric spectroscopy. Biotechnology and Bioengineering, 2003, 84(5): 597-610.

[13] Markx G H, Ten H H, Meijer J J, et al. Dielectric spectroscopy as a novel and convenient tool for the study of the shear sensitivity of plant cells in suspension culture. J Biotechnol, 1991, 19(2-3): 145-157.

[14] 王萍,王泽建,张嗣良. 生理代谢参数 RQ 在指导发酵过程优化中的应用. 中国生物工程杂志, 2013, 33(2): 88-95. Wang P, Wang Z J, Zhang S L. Fermentation optimization directed by physiological parameter respiratory quotient. China Biotechnology, 2013, 33(2): 88-95.

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