title: Response surface methodology for lovastatin production by Aspergillus terreus GD13 strain.
abstract: A wild type Aspergillus terreus GD13 strain, chosen after extensive screening, was optimized for lovastatin production using statistical Box-Behnken design of experiments. The interactive effect of four process parameters, i.e. lactose and soybean meal, inoculum size (spore concentration) and age of the spore culture, on the production of lovastatin was evaluated employing response surface methodology (RSM). The model highlighted the positive effect of soybean meal concentration and inoculum level for achieving maximal level of lovastatin (1342 mg/l). The optimal fermentation conditions improved the lovastatin titre by 7.0-folds when compared to the titres obtained under unoptimized conditions.
authors.affiliation: Department of Microbiology, Guru Nanak Dev University, Amritsar, India.
authors.forename: Harleen
authors.initials: H
authors.lastname: Kaur
authors.forename: Amarjeet
authors.initials: A
authors.lastname: Kaur
authors.forename: Harvinder Singh
authors.initials: HS
authors.lastname: Saini
authors.forename: Bhupinder Singh
authors.initials: BS
authors.lastname: Chadha
mesh_terms: D001230:Aspergillus / Q000235:genetics / Q000254:growth & development / Q000378:metabolism*; D018533:Biomass; D002244:Carbon; D003470:Culture Media; D005285:Fermentation; D007785:Lactose / Q000378:metabolism; D008148:Lovastatin / Q000096:biosynthesis*; D009172:Mycology / Q000379:methods*; D009584:Nitrogen; D012988:Soil Microbiology; D013025:Glycine max
chemical_list: D003470:Culture Media; D002244:Carbon; D008148:Lovastatin; D007785:Lactose; D009584:Nitrogen