A computer-assisted advanced simplex method is presented for the simultaneous optimization of multifactor (stationary phase loading, carrier gas dow rate and column temperature) for separation of ten compounds in gas ...A computer-assisted advanced simplex method is presented for the simultaneous optimization of multifactor (stationary phase loading, carrier gas dow rate and column temperature) for separation of ten compounds in gas chromatography. A three factors factorial design was used. The method was based on a special polynomial established from fifteen preliminary runs, using resolution as the selection criterion, with connection to a general simplex method. Excellent agreement is found between the predicted data and the experimental results, and most of experiments required in the general simplex method can be omitted.展开更多
A computer-assisted method is presented for optimization of mobile phase compositions and development distance in gradient two-step development HPTLC. The method is based on a system which can predict the final R(f) v...A computer-assisted method is presented for optimization of mobile phase compositions and development distance in gradient two-step development HPTLC. The method is based on a system which can predict the final R(f) values for gradient two-step development from values measured using five preliminary runs. The statistical scanning method is then used for optimization, using R(f) difference as the selection criterion. The method was evaluated using a mixture of eight components. Excellent agreement was obtained between predicted and experimental results.展开更多
A computer-assisted method is presented for simultaneous optimization of three-factor of temperature programming (initial temperature, temperature rising rate and carrier gas flow rate) for the separation of eleven co...A computer-assisted method is presented for simultaneous optimization of three-factor of temperature programming (initial temperature, temperature rising rate and carrier gas flow rate) for the separation of eleven compounds in capillary gas chromatography. The optimization of the separation over the experimental region is based on a special polynomial from fifteen preliminary experiments using the resolution as the selection criterion. Computer scanning technique was used for optimum selection on three dimensions. Excellent agreement was found between the predicted data and the experimental results.展开更多
基金supported by the National Natural Science Foundation of China.
文摘A computer-assisted advanced simplex method is presented for the simultaneous optimization of multifactor (stationary phase loading, carrier gas dow rate and column temperature) for separation of ten compounds in gas chromatography. A three factors factorial design was used. The method was based on a special polynomial established from fifteen preliminary runs, using resolution as the selection criterion, with connection to a general simplex method. Excellent agreement is found between the predicted data and the experimental results, and most of experiments required in the general simplex method can be omitted.
文摘A computer-assisted method is presented for optimization of mobile phase compositions and development distance in gradient two-step development HPTLC. The method is based on a system which can predict the final R(f) values for gradient two-step development from values measured using five preliminary runs. The statistical scanning method is then used for optimization, using R(f) difference as the selection criterion. The method was evaluated using a mixture of eight components. Excellent agreement was obtained between predicted and experimental results.
基金Project supported by the National Natural Science Foundation of China.
文摘A computer-assisted method is presented for simultaneous optimization of three-factor of temperature programming (initial temperature, temperature rising rate and carrier gas flow rate) for the separation of eleven compounds in capillary gas chromatography. The optimization of the separation over the experimental region is based on a special polynomial from fifteen preliminary experiments using the resolution as the selection criterion. Computer scanning technique was used for optimum selection on three dimensions. Excellent agreement was found between the predicted data and the experimental results.
