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A model-based optimization involving a genetic algorithm was used to establish the optimal substrate feeding profiles in fed-batch fermentations for maximizing the average production rate of xylitol from xylose. The best-case feeding profiles were verified experimentally in fermentations fed with glucose and xylose. The model-predicted profiles agreed remarkably well with the measured data even though the model was based on parameter values derived from a batch fermentation.

BACKGROUND: Xylitol is an important commercial sweetener that can be produced by fermentation. Previous studies of xylitol production have not been able to combine a high final product concentration, and a high average productivity and yield, in a single process.

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