Application of mathematical experimental design for optimization of HPLC and HPLC-MC conditions
Development of new methods for determination of biological active substances in chemical mixtures, pharmaceuticals and biological material is a very important problem. The chromatographic methods of analysis with UV and mass spectrometric detection are the most important currently. The complexity of these optimization techniques leads to an increase in the use of chemometric approaches with mathematical experimental design. The amount of such publications increases. Compile information on existing tools to discovery the best conditions of the determination of biological active substances isan important task. We have systematized literature devoted to this subject.
The advantages of the mathematical methods of planning of multifactor experiments compare to studing each factor separately are explained. The main stages of the experiment in liquid chromatography-mass spectrometry have been described. The factors for development of the optimal conditions related to research of the separation and determination have been underlined. The factors important for mass spectrometric detection, as well as factors affecting the quality of separation in chromatography was marked.
The optimization parameters have been shown. The stages of the construction of the experimental model in the form of polynomials of different degrees have been presented The basic methods of experimental design such as factorial designs, fractional factorial designs, Plackett–Burman design, Box–Behnken design, central composite design have beenmentioned. The examples of application of mathematical experimental design for the chromatographic analysis of biological active substances in dietary supplements, foods, herbal drugs, eye drops, pills have been shown. Studied approaches can be used for creation of the new techniques.
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