Algorithms to optimize multi-column chromatographic separations of proteins

Chromatographic Studies of Protein-Based Chiral Separations

The development of separation methods for the analysis and resolution of chiral drugs and solutes has been an area of ongoing interest in pharmaceutical research. The use of proteins as chiral binding agents in high-performance liquid chromatography (HPLC) has been an approach that has received particular attention in such work. This report provides an overview of proteins that have been used a...

Chromatographic Separations with Selected Supported Chelating Agents

A weighted metric method to optimize multi-response robust problems

In a robust parameter design (RPD) problem, the experimenter is interested to determine the values of con-trol factors such that responses will be robust or insensitive to variability of the noise factors. Response sur-face methodology (RSM) is one of the effective methods that can be employed for this purpose. Since quality of products or processes is usually evaluated through several quality ...

Development of flexible and efficient strategies for optimizing chromatographic separations.

The intensive research in chemometrics is resulting in continuous development of new concepts and optimization methods. The practical chromatographic optimization examples described in this paper highlight the importance of developing efficient and flexible optimization strategies, which are adapted to the (complex) separation problems encountered in the real chromatographic world. The availabi...

Use of Simulated Annealing for Optimization of Chromatographic Separations

The effectiveness of a hybrid of simulated annealing (SA) and the simplex algorithm for optimization of a chromatographic separation has been examined. The method has been used to solve optimization problems for separations in batch and continuous chromatographic systems under isocratic and gradient conditions. To verify the robustness of the algorithm a variety of test problems have been solve...