الفهرس | Only 14 pages are availabe for public view |
Abstract Fluorescence detection is considered one of the most convenient analytical techniques because of its sensitivity, simplicity. Many variables can contribute to the measured fluorescence intensity such as the pH, temperature, and chemical surroundings. To maximize the fluorescence intensity, the above factors should be optimized. This can be done by using the experimental design approach which is a fast method for screening and optimizing the critical parameters in a relatively small number of experiments. The experimental design can carry out a series of experiments where the factors are changed together; this maximizes the amount of information gained while minimizing the amount of data to be collected which is better than studying one factor at a time (OFAT) that consumes time and effort. The experimental design for the optimization process begins with a screening phase to assess the key variables influencing the response out of many possible factors. Then, an optimization phase is performed to optimize the significant variables deduced from the screening phase. An application for fluorescence detection is to determine the counterfeit drugs. The urge of making profits has led to the persistence of counterfeit drug disasters, especially in developing countries and through illicit internet marketing. Among the most important drugs that are involved in such a problem are the antimalarial drugs. In some developing African nations, the available malaria drugs are expired, substandard, or fake. Fluorescence detection methods were developed with the aid of a chemometrics approach to detect counterfeiting and to simultaneously quantify the antimalarial drug with its adulterants. In this thesis, our concern was to use the experimental design to screen and optimize the factors affecting the fluorimetric analysis in a more systematic and informative way |