Manganese peroxide (MnP) production by the white-rot fungus Bjerkandera adusta (Willdenow) P. Karsten was enhanced significantly through media engineering ,using the statistical modeling approach called response surface methodology.Both fractional factorial and central composite designs were applied in the optimization studies to evaluate the effect of mycological peptone, Kh(2)PO(4), MnSO4, and glucose on MnP production. With a view to simultaneously reducing the number of experiments and obtaining more information orgy tire mutual interactions between the variables. 2(+1) fractional factorial and full 2(2) central composite design led to 12 sets of experiments. When the optimized amounts were used, MnP activity obtained was increased approximately 600%((from 0.40 U ml(-1) to 2.41 U ml(-1)). The effect of central composite design coupled with fractional factorial approach was more profound on the increase of the MnP activity compared to that of,fractional factorial approach alone. Our response surface methodological results showed for the first time that peptone but not Mn2+ was the most in important ingredient affecting the level of AIMP production by the fungus B. adusta. The significant increase in MnP activity via response surface methodology demonstrates the potential of this recent isolate to be considered as a good source of MnP for industrial applications.