Study of Prediction Methods for Contamination in the Chlortetracycline Fermentation Process

Abstract

During the chlortetracycline (CTC) fermentation process, if the fermenter is invaded by other harmful bacteria, the fermentation broth may be contaminated. Once this occurs, the broth must be discharged for preventing other schedules of fermentation production from contamination, otherwise it will waste more raw materials and bring great economical damage. In order to acquire some important comprehensive contamination feature information, an information fusion method is proposed in this paper based on Desert-Smarandache theory (DSmT), combining multiple process information that indirectly hints contamination. And experimental results based on field data show that the method can predict whether the process of CTC fermentation is contaminated, so if this method is applied into real fermentation production, the safety performance of production process will be improved.