Bimetallic Au –Pt catalysts supporting TiO2 were synthesised using two methods; sol immobilization and impregnation methods. The prepared catalyst underwent a thermal treatment process at 400◦ C, while the reduction reaction under the same condition was done and the obtained catalysts were identified with transmission electron microscopy (TEM) and energy-dispersive spectroscopy (EDS). It has been found that the prepared catalysts have a dimension around 2.5 nm and the particles have uniform orders leading to high dispersion of platinum molecules .The prepared catalysts have been examined as efficient photocatalysts to degrade the Crystal violet dye under UV-light. The optimum values of Bimetallic Au –Pt catalysts supporting TiO2 have been found (0.05g of the catalyst prepared in sol immobilization method, 0.07 g of the synthesised in impregnation procedure. The impact of pH on the degradation reaction was tested; it has been found that pH 10 is the best media for the reaction. The effect of temperature has been discussed when various temperatures were used, and the heat of photoreaction Ea was estimated from the Arrhenius relationship, it has been concluded that the reaction is independent of temperature as the activation energy was very small (Ea= 22 kJ/ mole). The thermodynamic functions; entropy, enthalpy and the free energy have been figured out. It has been found that the positive values of enthalpy ∆H# refer to endothermic reaction, moreover, it has been demonstrated that the photoreaction is an endergonic one according to the calculated values of the free energy of activation. It has been noticed that when temperature increases, it promotes the production of free radicals, but it has been noticed that exceeding the temperature more than the used range causes reducing the percentage of degradation of crystal violet, the reason is due to the limitation conditions of adsorption process at higher temperature on the surface of the catalyst.
The study improve sEMG signals, especially, for the transradial amputees, it investigated the classification accuracy of surface Electromyography (sEMG) with low-cost Myo armband device. Seventeen specific viable gestures used in daily-life were compared between two groups, the first one was represented by six transradial amputees and the second one was represented by six able-bodied subjects. In addition, the measured signals from forearm muscles were utilized to drive 3D printed prosthetic hand controlled by Pattern Recognition (PR) technique. In order to analyze the acquired sEMG signals, the PR system employed which consists of three main parts: segmentation, feature extraction and classification. The LDA classifier was employed in order to obtain optimum accuracy of the system. The classification accuracy of Myo armband showed high performance where the achieved classification accuracy for abled bodies subjects was more than (94.85%) with LDA classifier and for transradial amputees subjects (88.2%) with LDA classifier. Also, it was acceptable for 3D printed hand controller for 7 movements in study case of transradial amputees. The results may conclude that low cost Myo armband can be applicable for controlling 3D printed prosthetic hand to distinguish hand movements.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.