Study on the affinity characteristics of proteins on the immobilized metal affinity chromatography column
文献信息
Rong Li, Peng Chen, Ning Zhang, Bin Chen
Using frontal chromatography to determine the affinity binding constant (KPML) and the number of affinity binding sites (ΛPML) was demonstrated by the accuracy and precision affinity experiments of proteins (BSA, RNase, Cyt-C and Lys) on the iminodisuccinic acid metal chelate copper (IDS-Cu(II)-silica) column. The results displayed that R2 > 0.98 and RSD < 2% for the two binding parameters. In order to further prove the universality of frontal chromatography, the affinity characteristics of the four proteins on the iminodiacetic acid metal chelate copper (IDA-Cu(II)-silica) column were investigated in turn, and the results of the affinity parameters were compared with those of the IDS-Cu(II)-silica column. The results showed that the binding constants of the four standard proteins on both metal chelate copper columns followed KPML(Lys) > KPML(Cyt-C) > KPML(RNase) > KPML(BSA), and the values of KPML on the IDA-Cu(II)-silica column were larger than those on the IDS-Cu(II)-silica column, while the ΛPML values on the IDA-Cu(II)-silica column were smaller than those on the IDS-Cu(II)-silica column. The results of the KPML value were consistent with the affinity chromatographic behaviors of the proteins on the two columns, which proved the feasibility of the FC method again. Compared with ΛPML, the parameter KPML could better reflect the affinity strength of the proteins on the immobilized metal affinity chromatography (IMAC) column. The present work provided a fast and effective method for determining the binding parameters between proteins and IMAC columns, and also provided a theoretical basis for the separation and purification of proteins using the IMAC system.
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Analytical Methods

Analytical Methods welcomes early applications of new analytical and bioanalytical methods and technology demonstrating the potential for societal impact. We require that methods and technology reported in the journal are sufficiently innovative, robust, accurate, and compared to other available methods for the intended application. Developments with interdisciplinary approaches are particularly welcome. Systems should be proven with suitably complex and analytically challenging samples. We encourage developments within, but not limited to, the following technologies and applications: global health, point-of-care and molecular diagnostics biosensors and bioengineering drug development and pharmaceutical analysis applied microfluidics and nanotechnology omics studies, such as proteomics, metabolomics or glycomics environmental, agricultural and food science neuroscience biochemical and clinical analysis forensic analysis industrial process and method development














