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        Parameter Optimization for Production of Ligninolytic Enzymes Using Agro-industrial Wastes by Response Surface Method

        Fatma Gassara,Satinder Kaur Brar,R. D. Tyagi,Rojan P. John,M. Verma,J. R. Valero 한국생물공학회 2011 Biotechnology and Bioprocess Engineering Vol.16 No.2

        Lignin and manganese peroxidase (LiP, MnP)and laccase production by Phanerocheate chrysosporium was optimized by response surface methodology for brewery waste and apple pomace. The effect of moisture,copper sulphate, and veratryl alcohol (VA) concentrations on enzyme production was studied. Moisture and VA had significant positive effect on MnP and LiP production and the viability of P. chrysosporium (p < 0.05) and copper sulphate produced a negative effect. However, moisture and copper sulphate had a significant positive (p < 0.05) effect on laccase production, but VA had an insignificant positive effect (p < 0.05). Higher values of MnP, LiP and viability of P. chrysosporium on apple pomace (1287.5 U MnP/gds (units/gram dry substrate), 305 U LiP/gds, and 10.38 Log 10 viability) and brewery waste (792 U MnP/gds and 9.83Log 10 viability) were obtained with 80% moisture, 3mmol/kg VA, and 0.5 mmol/kg copper. LiP production in brewery waste (7.87 U/gds) was maximal at 70% moisture,2 mmol/kg VA, and 1 mmol/kg copper. Higher production of laccase in apple pomace (789 U/gds) and brewery waste (841 U/gds) were obtained with 80% moisture, 3 mmol/kg VA, and 1.5 mmol/kg copper. Thus, moisture along with VA and copper sulphate was pertinent for the production of ligninolytic enzymes and increased cell viability.

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        Local Stabilization of Polynomial Fuzzy Model with Time Delay: SOS Approach

        Hamdi Gassara,Ahmed El Hajjaji,Fatma Siala,Mohamed Chaabane 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.1

        In this paper, a design method of control for Polynomial Fuzzy Models (PFM) with time delay is developed. By using a Polynomial Lyapunov Krasovskii Functional (PLKF) with double integral and by imposingbounds on the derivatives of each state, less conservative sufficient conditions are established to ensure the local stabilityof the closed loop system. Furthermore, a Domain Of Attraction (DOA) in which the initial states are ensuredto converge asymptotically to the origin is estimated. The resulting conditions are formulated in terms of Sum-Of-Squares (SOS) which can be numerically (partially symbolically) solved via the recently developed SOSTOOLS. Some examples are provided to show the effectiveness and the merit of the design procedure.

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