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Development and characterization of ethylcellulose based microsphere for sustained release of nifedipine

Journal of Pharmaceutical Analysis 2016年第5期6卷 341-344页

作者： Patitapabana Parida Subash Chandra Mishra Subhashree Sahoo ajit behera Bibhukalyan Prasad Nayak Department of Biotechnology and Medical Engineering NIT Rourkela Odisha 769008 India Department of Metallurgical and Materials Engineering NIT Rourkela Odisha 769008 India Department of Pharmaceutics Kanakmanjari Institute of Pharmaceutical Sciences Rourkela Odisha 769015 India Department of Metallurgical and Materials Engineering IIT Kharagpur West Bengal 721302 India

This article introduced the work of ethylcellulose based polymeric microsphere loaded with nifedipine for reduction in frequency of administration with low solubility in aqueous medium and high rate of absorption in the stomach. The non-aqueous polymeric suspension was put dropwise into an aqueous medium containing polyvinyl alcohol as a surfactant for the synthesis of microsphere by solvent evaporation. The microspheres were characterized by different techniques, namely, XRD, SEM, and NMR. The formation of microspheres was confirmed by SEM. XRD analysis revealed the semi-crystallinity nature of microspheres. The NMR study indicated the presence of hetero-aromatic nucleus in the microsphere.

关键词： Nifedipine Microsphere Solvent evaporation Sustained release

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Prediction and Analysis of Deposition Efficiency of Plasma Spray Coating Using Artificial Intelligence Method

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Open Journal of Composite Materials 2012年第2期2卷 54-60页

作者： ajit behera S. C. Mishra Department of Metallurgical & Materials Engineering National Institute of Technology Rourkela India

Modern industrial technologies call for the development of novel materials with improved surface properties, lower costs and environmentally suitable processes. Plasma spray coating process has become a subject of intense research which attempts to create functional layers on the surface is obviously the most economical way to provide high per- formance to machinery and industrial equipments. The present work aims at developing and studying the industrial wastes (Flay-ash, Quartz and illmenite composite mixture) as the coating material, which is to be deposited on Mild Steel and Copper substrates. To study and evaluate Coating deposition efficiency, artificial neural network analysis (ANN) technique is used. By this quality control technique, it is sufficient to describe approximation complex of in- ter-relationships of operating parameters in atmospheric plasma spray process. ANN technique helps in saving time and resources for experimental trials. The aim of this work is to outline a procedure for selecting an appropriate input vec- tors in ANN coating efficiency models, based on statistical pre-processing of the experimental data set. This methodology can provide deep understanding of various co-relationships across multiple scales of length and time, which could be essential for improvement of product and process performance. The deposition efficiency of coatings has a strong dependence on input power level, particle size of the feed material, powder feed rate and torch to substrate distance. ANN experimental results indicate that the projection network has good generalization capability to optimize the deposition efficiency, when an appropriate size of training set and network is utilized.

关键词： ANN Plasma Spraying Deposition Efficiency Power Level Particle Size Feed Rate

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