Division of Biotechnology, Department of Physics and Measurement Technology, Linköping University, 581 83, Linköping, Sweden.
Cytotechnology. 2005 Jun;48(1-3):41-58. doi: 10.1007/s10616-005-3587-4.
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.
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。培养物中挥发性成分的排放物积聚在生物反应器的顶部空间中,通过 EN 设备进行采样和随后的分析。EN 设备配备了 17 个对采样挥发性分子具有不同选择性的化学气体传感器阵列,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。一个软件评估工具主要通过主成分分析来可视化数据。EN 首先用于检测生产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、金黄色葡萄球菌和产朊假丝酵母污染,所有这些都被检测到。CHO 细胞培养物的响应模式与微生物的单一培养物参考进行了比较。其次,在生产另一种重组蛋白(VP2 蛋白)的 Sf-9 昆虫细胞培养物中研究了污染情况。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系 HEK-293 的污染也得到了类似的结果。第四,在 MLV 载体生产细胞系的培养物中也可以检测到细菌污染。基于本研究的总体经验,得出的结论是,EN 方法有潜力在许多情况下发展成为一种有用的在线污染警报,以支持工业培养的安全性和经济性运行。