Model for on-line moisture-content control during solid-state fermentation.
In this study we describe a model that estimates the extracellular (nonfungal) and overall water contents of wheat grains during solid-state fermentation (SSF) with Aspergillus oryzae, using on-line measurements of oxygen, carbon dioxide, and water vapor in the gas phase. The model uses elemental balances to predict substrate dry matter losses from carbon dioxide measurements, and metabolic water production, water used in starch hydrolysis, and water incorporated in new biomass from oxygen measurements. Water losses caused by evaporation were calculated from water vapor measurements. Model parameters were determined using an experimental membrane-based model system, which mimicked the growth of A. oryzae on the wheat grains and permitted direct measurement of the fungal biomass dry weight and wet weight. The measured water content of the biomass depended heavily on the moisture content of the solid substrate and was significantly lower than the estimated values reported in the literature. The model accurately predicted the measured overall water content of fermenting solid substrate during fermentations performed in a 1.5-L scraped drum reactor and in a 35-L horizontal paddle mixer, and is therefore considered validated. The model can be used to calculate the water addition required to control the extracellular water content in a mixed solid-state bioreactor for cultivation of A. oryzae on wheat.
Nagel
F J
FJ
Wageningen University, Department of Food Technology and Nutritional Sciences, Food and Bioprocess Engineering Group, P.O. Box 8129, 6700 EV Wageningen, The Netherlands.
Tramper
J
J
Bakker
M S
MS
Rinzema
A
A
D001236:Aspergillus oryzae / Q000254:growth & development / Q000378:metabolism; D018533:Biomass; D019149:Bioreactors / Q000382:microbiology; D002245:Carbon Dioxide / Q000032:analysis / Q000378:metabolism; D005285:Fermentation / Q000502:physiology*; D007218:Industrial Microbiology / Q000295:instrumentation / Q000379:methods*; D008567:Membranes, Artificial; D008954:Models, Biological; D010100:Oxygen / Q000032:analysis / Q000378:metabolism; D011237:Predictive Value of Tests; D015203:Reproducibility of Results; D014908:Triticum / Q000382:microbiology; D014867:Water / Q000032:analysis* / Q000378:metabolism
D008567:Membranes, Artificial; D014867:Water; D002245:Carbon Dioxide; D010100:Oxygen