Titlebook: Chromatography; G. T. Tsao Book 1993 Springer-Verlag Berlin Heidelberg 1993 Biochemie.Biotechnologie.Chromatographie.biochemistry.biotechn

Autopsy

书目名称Chromatography影响因子(影响力)




书目名称Chromatography影响因子(影响力)学科排名




书目名称Chromatography网络公开度




书目名称Chromatography网络公开度学科排名




书目名称Chromatography被引频次




书目名称Chromatography被引频次学科排名




书目名称Chromatography年度引用




书目名称Chromatography年度引用学科排名




书目名称Chromatography读者反馈




书目名称Chromatography读者反馈学科排名

悄悄移动

Modeling of nonlinear multicomponent chromatography, nonlinear multicomponent chromatography. This chapter also presents an efficient numerical method for the solution of the model and its numerous extensions. As an example, the model is used for the study of some interesting effects of isotherm characteristics of the displacer on the optimization of

Negligible

Artificial neural network modeling of adsorptive separation,eraction between different compounds. The major advantages of most neural network approaches are the learning ability of non linearity, the tolerance to unpredicted noise (or experimental errors) through distributed memory, and the capability of retrieving appropriate information from the memory. Re

explicit

头脑冷静

Visual-Acuity

Visual-Acuity

流眼泪

antecedence

Change of Technique: With or Without Mesh?ties in excess of 70 cm min.. The influence of eluent properties on the adsorption of sample proteins is discussed in this chapter. Sequential stepwise desorption is used to separate 100 μl mixtures of BSA, IgG, β-galactosidase, and insulin in 10 minutes or less, using 10 mm i.d. × 500 mm length columns.

orthodox