Abstract 104
Modeling production of antifungal compounds and their role in biocontrol inhibitory activity
J. Agric. Food Chem. 55 (23): 9530-9536, 2007
S.W. Pryor, K.J. Siebert, D.M. Gibson, J.M. Gossett and L.P. Walker
Partial Least Squares (PLS) regression modeling was used to relate the antifungal activity of B. subtilis solid-state fermentation extracts to the individual HPLC peaks from those extracts. A model was developed that predicted bioassay inhibition based on extract HPLC profile (R2= 0.99). Concentrations of the members of the antifungal lipopeptide families iturin A and fengycin were found to correlate positively with extract inhibition, but a peak with unidentified chemical composition (designated as peak 48) showed the strongest correlation with extract inhibition. HPLC data were used to construct models for the production of iturin A, fengycin, and peak 48 as a function of substrate moisture content, incubator temperature, and aeration rate in the solid state bioreactors. Maximum production of all compounds occurred at the highest moisture content (1.7 g/g dry basis) and lowest incubator temperature (19°C) tested. Optimal aeration rates for production of the two known lipopeptides and peak 48 were 0.1 L/min and 1.5 L/min, respectively.
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