Response surface methodology was applied in optimizing the asymmetric bioreduction of (4S)-(+)-carvoneto dihydrocarvone (with low incidence of unsought side reactions) by using whole-cells of Cryptococcusgastricus. A factorial design (2e5) including five independent variables was performed: X1 = incubationtime; X2 = pH; X3 = amount of whole-cells; X4 = concentration of (4S)-(+)-carvone; X5 = concentration ofcofactor-recycling system. The utilization of glucose and glycerol as cofactor-recycling systems waschecked. On the basis of the results of factorial design, three independent variables (X1, X3 and X4) outof five were further selected for performing a central composite design (CCD).First and second order polynomial equations obtained by CCD were used to select the optimal values ofindependent variables in order to maximize the bioreduction yield of (4S)-(+)-carvone and, at the sametime, to minimize the occurrence of side reactions (i.e. further reduction of dihydrocarvone todihydrocarveol).
Response surface methodology as optimization strategy for asymmetric bioreduction of (4S)-(+)-carvone by Cryptococcus gastricus / M., Goretti; E., Branda; B., Turchetti; Cramarossa, Maria Rita; A., Onofri; Forti, Luca; P., Buzzini. - In: BIORESOURCE TECHNOLOGY. - ISSN 0960-8524. - STAMPA. - 121:(2012), pp. 290-297. [10.1016/j.biortech.2012.06.070]
Response surface methodology as optimization strategy for asymmetric bioreduction of (4S)-(+)-carvone by Cryptococcus gastricus
CRAMAROSSA, Maria Rita;FORTI, Luca;
2012
Abstract
Response surface methodology was applied in optimizing the asymmetric bioreduction of (4S)-(+)-carvoneto dihydrocarvone (with low incidence of unsought side reactions) by using whole-cells of Cryptococcusgastricus. A factorial design (2e5) including five independent variables was performed: X1 = incubationtime; X2 = pH; X3 = amount of whole-cells; X4 = concentration of (4S)-(+)-carvone; X5 = concentration ofcofactor-recycling system. The utilization of glucose and glycerol as cofactor-recycling systems waschecked. On the basis of the results of factorial design, three independent variables (X1, X3 and X4) outof five were further selected for performing a central composite design (CCD).First and second order polynomial equations obtained by CCD were used to select the optimal values ofindependent variables in order to maximize the bioreduction yield of (4S)-(+)-carvone and, at the sametime, to minimize the occurrence of side reactions (i.e. further reduction of dihydrocarvone todihydrocarveol).File | Dimensione | Formato | |
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