In this study, a composite plasticized polymer electrolytes (CPEs) compassed of 30% methyl grafted natural rubber (MG30) doped with lithium triflate (LiTf) and silicon dioxide (SiO 2 ) was prepared by solution cast technique. The polymer-salt complexation has been confirmed by ATR-FTIR spectral studies. The CPEs were then investigated as an ionic conducting polymer. The conductivity of the CPEs was measured by AC impedance spectroscopy and shows that the sample containing 60 wt.% MG30:33 wt.% LiTf:7 wt.% SiO 2 exhibit the highest conductivity of up to 10 -4 S.cm -1 at room temperature. In order to understand the thermal effect on the ionic migration in the CPEs, temperature dependent-conductivity was performed as a function of temperature between 300 K and 363 K and demonstrates that the conductivity of CPEs depart from the Arrhenius rule. The modulus formalism studies establish the CPEs films behave as an ionic conductor and confirmed by ionic transference number.
A 3-Dimension-Quantitative Structure-Activity Relationship (3D-QSAR 1 ) approach is applied for the prediction of accurate chemical products made from biological activity and toxicity. Quantum chemical technique allows the construction of the molecular descriptors. The molecular quantum descriptors are classified into five principal component factors. Various linear regression equations are obtained using the statistical technique. In this study, the researchers propose the three best regression equations based on quantum molecular descriptors discussed earlier in this study. The observed EC50 vs calculated EC50 is plotted using the best fitting with the quantum descriptors.
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