title: Compactin production studies using Penicillium brevicompactum under solid-state fermentation conditions.
abstract: In the present study, compactin production by Penicillium brevicompactum WA 2315 was optimized using solid-state fermentation. The initial one factor at a time approach resulted in improved compactin production of 905 microg gds(-1) compared to initial 450 microg gds(-1). Subsequently, nutritional, physiological, and biological parameters were screened using fractional factorial and Box-Behnken design. The fractional factorial design studied inoculum age, inoculum volume, pH, NaCl, NH(4)NO(3), MgSO(4), and KH(2)PO(4). All parameters were found to be significant except pH and KH(2)PO(4). The Box-Behnken design studied inoculum volume, inoculum age, glycerol, and NH(4)NO(3) at three different levels. Inoculum volume (p = 0.0013) and glycerol (p = 0.0001) were significant factors with greater effect on response. The interaction effects were not significant. The validation study using model-defined conditions resulted in an improved yield of 1,250 microg gds(-1) compactin. Further improvement in yield was obtained using fed batch mode of carbon supplementation. The feeding of glycerol (20% v/v) on day 3 resulted in further improved compactin yield of 1,406 microg gds(-1). The present study demonstrates that agro-industrial residues can be successfully used for compactin production, and statistical experiment designs provide an easy tool to improve the process conditions for secondary metabolite production.
authors.affiliation: Food Engineering and Technology Department, Institute of Chemical Technology, University of Mumbai, Matunga, Mumbai 400 019, India.
authors.forename: N S
authors.initials: NS
authors.lastname: Shaligram
authors.forename: S K
authors.initials: SK
authors.lastname: Singh
authors.forename: R S
authors.initials: RS
authors.lastname: Singhal
authors.forename: A
authors.initials: A
authors.lastname: Pandey
authors.forename: G
authors.initials: G
authors.lastname: Szakacs
mesh_terms: D000465:Algorithms; D019149:Bioreactors / Q000382:microbiology*; D018929:Cell Culture Techniques / Q000379:methods*; D003198:Computer Simulation; D005285:Fermentation; D008148:Lovastatin / Q000031:analogs & derivatives* / Q000302:isolation & purification / Q000378:metabolism; D008954:Models, Biological; D010407:Penicillium / Q000145:classification / Q000378:metabolism*; D013045:Species Specificity
chemical_list: C012258:mevastatin; D008148:Lovastatin