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Application of Inactivation Model on Phytophthora Blight Pathogen (Phytophthora capsici) using Plasma Process

플라즈마 공정을 이용한 고추역병균(Phytophthora capsici) 불활성화 모델의 적용

Kim, Dong-Seog;Park, Young-Seek
김동석;박영식

  • Received : 2015.08.17
  • Accepted : 2015.10.15
  • Published : 2015.11.30

Abstract

Ten empirical disinfection models for the plasma process were used to find an optimum model. The variation of model parameters in each model according to the operating conditions (first voltage, second voltage, air flow rate, pH, incubation water concentration) were investigated in order to explain the disinfection model. In this experiment, the DBD (dielectric barrier discharge) plasma reactor was used to inactivate Phytophthora capsici which cause wilt in tomato plantation. Optimum disinfection models were chosen among ten models by the application of statistical SSE (sum of squared error), RMSE (root mean sum of squared error), $r^2$ values on the experimental data using the GInaFiT software in Microsoft Excel. The optimum models were shown as Log-linear+Tail model, Double Weibull model and Biphasic model. Three models were applied to the experimental data according to the variation of the operating conditions. In Log-linear+Tail model, $Log_{10}(N_o)$, $Log_{10}(N_{res})$ and $k_{max}$ values were examined. In Double Weibull model, $Log_{10}(N_o)$, $Log_{10}(N_{res})$, ${\alpha}$, ${\delta}_1$, ${\delta}_2$, p values were calculated and examined. In Biphasic model, $Log_{10}(N_o)$, f, $k_{max1}$ and $k_{max2}$ values were used. The appropriate model parameters for the calculation of optimum operating conditions were $k_{max}$, ${\alpha}$, $k_{max1}$ at each model, respectively.

Keywords

Disinfection model;DBD process;Phytophthora capsici;Microsoft Excel;GInaFiT;Empirical model

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Acknowledgement

Supported by : 대구가톨릭대학교