Mesa-Ramos L, Gozá-León O, Uranga-Machado M, Toledo-Rivero A, Gálvez-Torriente Y

Language: Spanish
References: 0
Page: 8-15
PDF size: 241.49 Kb.

ABSTRACT

In the Center of Molecular Immunology (Havana, Cuba) an effective therapeutic monoclonal antibody against head and neck cancer is produced. Given the great variability of the concentration of this antibody in the industrial fermentation stage of the plant, it became necessary to apply a multivariate analysis technique such as the Principal Component Analysis, in order to reduce data dimensionality and to explain the main sources of variability of the process. In order to carry out the Principal Component Analysis through the software THE UNSCRAMBLER, the determination of the critical parameters of the fermentation stage through a risk model based on input and output matrix using data from the campaign of the year 2014 was carried out. As a result, two main components were able to explain more than 99% of the total variance, and it was possible to defi ne the critical parameters that have the greatest contribution to the variability of the fermentation process. These results corroborated the practical experiences of specialists of the plant and allowed to give recommendations to consider in the Plan of Continuous Verifi cation of the Process as proposing the inclusion in the strategy of control of the process the variables temperature, the speed of agitation, dissolved oxygen and the culture duration.