DIGITAL FILTERING FOR AUTOMATIC ANALYSIS OF CELL DENSITY AND PRODUCTIVITY

Abstract

The application of digital filtering techniques to the data from automatic fermentation process analyzers is discussed. An example illustrates the application of these methods to cell density and growth rate (productivity) estimation from periodic measurements of fermentation broth turbidity. The method of recursive least squares filtering was found best for the cell density estimates. A hybrid technique which combines this method with a model for culture oxygen uptake rate was found to have more rapid response for the cell productivity estimation. The results of on-line use of these digital filtering techniques are included.