Optimization methods in chromatography and capillary electrophoresis.

摘要: Many methods have been developed in order to optimize the parameters of interest either chromatography or capillary electrophoresis. In chemometric approaches experimental measurements are performed such a way that all factors vary together. An objective function is utilized which analyst introduces desired criteria (selectivity, resolution, time analysis). Simplex and overlapping resolution maps declining. Factorial designs central composite more popular electrodriven separations since number master much larger than GC LC. The use artificial neural networks increasing. advantage chemometrics tools no explicit models required, conversely experiments perform may be high boundaries domain not straightforward draw approach does required. When available optimization easier by regression methods. Computer assisted RPLC readily work well but still infancy CE. Linear solvation energy relationships seem very valuable tool estimates coefficients require many experiments.