Design of methanol feed control in Pichia pastoris fermentations based upon a growth model

Wenhui Zhang, Leonard A. Smith, Bradley A. Plantz, Vicki L. Schlegel, Michael M. Meagher

Research output: Contribution to journalArticle

48 Scopus citations

Abstract

The methylotrophic yeast Pichia pastoris is an effective system for recombinant protein productions that utilizes methanol as an inducer, and also as carbon and energy source for a Mut+ (methanol utilization plus) strain. Pichia fermentation is conducted in a fed-batch mode to obtain a high cell density for a high productivity. An accurate methanol control is required in the methanol fed-batch phase (induction phase) in the fermentation. A simple "on - off" control strategy is inadequate for precise control of methanol concentrations in the fermentor. In this paper we employed a PID (proportional, integral and derivative) control system for the methanol concentration control and designed the PID controller settings on the basis of a Pichia growth model. The closed-loop system was built with four components: PID controller, methanol feed pump, fermentation process, and methanol sensor. First, modeling and transfer functions for all components were derived, followed by frequency response analysis, a powerful method for calculating the optimal PID parameters Kc (controller gain), τI (controller integral time constant), and τD (controller derivative time constant). Bode stability criteria were used to develop the stability diagram for evaluating the designed settings during the entire methanol fed-batch phase. Fermentations were conducted using four Pichia strains, each expressing a different protein, to verify the control performance with optimal PID settings. The results showed that the methanol concentration matched the set point very well with only small overshoot when the set point was switched, which indicated that a very good control performance was achieved. The method developed in this paper is robust and can serve as a framework for the design of other PID feedback control systems in biological processes.

Original languageEnglish (US)
Pages (from-to)1392-1399
Number of pages8
JournalBiotechnology Progress
Volume18
Issue number6
DOIs
StatePublished - Nov 2002

ASJC Scopus subject areas

  • Biotechnology

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