In biotechnological processes, a great number of factors can influence the income productivity and conversion. Normally, it is not evident which of these factors are most important. In this work it is used the multivariate analysis techniques, as experimental design to identify the parameters with the most significant impact on the model, to represent well the process as well as to identify a suitable way to adjust the model for the acrylic acid production process. It is proposed an alternative process, having sugar cane as feedstock, to the petrochemical based ones which have significant environmental impacts for their production. In order increase the competitiveness of renewable acrylic acid based process it is necessary to find out working near optimal operating conditions, which is not an easy task since the process is multivariable and non-linear.

With such procedure is possible, beyond the determination of the important factors of the process, to identify the structures of control for differentiated strategies of operation. The mapping of the dynamics of the developed process is made using techniques of factorial design together with the methodology of Plackett-Burman. It is shown that it is possible to increase the process performance by choosing optimized conditions for the reactor operation.