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On-Line Detection of Microbial Contaminations in Animal Cell Reactor Cultures Using an Electronic Nose Device

机译:使用电子鼻装置在线检测动物细胞反应器培养物中的微生物污染

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摘要

An electronic nose (EN) device was used to detect microbial and viral contaminations in a variety of animal cell culture systems. The emission of volatile components from the cultures accumulated in the bioreactor headspace, was sampled and subsequently analysed by the EN device. The EN, which was equipped with an array of 17 chemical gas sensors of varying selectivity towards the sampled volatile molecules, generated response patterns of up to 85 computed signals. Each 15 or 20 min a new gas sample was taken generating a new response pattern. A software evaluation tool visualised the data mainly by using principal component analysis. The EN was first used to detect microbial contaminations in a Chinese hamster ovary (CHO) cell line producing a recombinant human macrophage colony stimulating factor (rhM-CSF). The CHO cell culture was contaminated by Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus and Candida utilis which all were detected. The response patterns from the CHO cell culture were compared with monoculture references of the microorganisms. Second, contaminations were studied in an Sf-9 insect cell culture producing another recombinant protein (VP2 protein). Contaminants were detected from E. coli, a filamentous fungus and a baculovirus. Third, contamination of a human cell line, HEK-293, infected with E. coli exhibited comparable results. Fourth, bacterial contaminations could also be detected in cultures of a MLV vector producer cell line. Based on the overall experiences in this study it is concluded that the EN method has in a number of cases the potential to be developed into a useful on-line contamination alarm in order to support safety and economical operation for industrial cultivation.
机译:电子鼻(EN)设备用于检测各种动物细胞培养系统中的微生物和病毒污染。从生物反应器顶部空间中积累的培养物中释放出的挥发性成分进行采样,然后通过EN设备进行分析。 EN装有由17个化学气体传感器组成的阵列,这些传感器对采样的挥发性分子具有不同的选择性,可生成多达85个计算信号的响应模式。每隔15或20分钟采集一次新的气体样本,生成新的响应模式。软件评估工具主要通过使用主成分分析来可视化数据。 EN首先用于检测产生重组人巨噬细胞集落刺激因子(rhM-CSF)的中国仓鼠卵巢(CHO)细胞系中的微生物污染。 CHO细胞培养物被大肠杆菌,铜绿假单胞菌,金黄色葡萄球菌和丝假丝酵母污染。将CHO细胞培养的反应模式与微生物的单培养参考进行了比较。其次,在产生另一种重组蛋白(VP2蛋白)的Sf-9昆虫细胞培养物中研究了污染物。从大肠杆菌,丝状真菌和杆状病毒中检测到污染物。第三,感染大肠杆菌的人细胞株HEK-293的污染表现出可比的结果。第四,还可以在MLV载体生产细胞系的培养物中检测到细菌污染。根据这项研究的总体经验,可以得出结论,EN方法在许多情况下有可能发展成为有用的在线污染警报,以支持工业种植的安全性和经济性。

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