monolithic sorbent
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2020 ◽  
Vol 20 (5) ◽  
pp. 1143
Author(s):  
Ahmed Ali Alkarimi ◽  
Kevin Welham

Solid-phase extraction technique is considered as a vital tool in a pre-treatment of different samples. Therefore, it was used as a beneficial and alternative extraction method over the liquid–liquid extraction in diverse applications such as food, environmental, and biological analyses. Glycidyl methacrylate-co-stearyl methacrylate-co-ethylene glycol dimethacrylate (GMA-co-SMA-co-EDMA) monolithic sorbent was prepared as strong cationic-reversed phase sorbent for solid-phase extraction of different proteins. The monolithic sorbent was prepared inside two moulds such as glass microchip device and borosilicate. The morphological properties have been investigated using the Brunauer-Emmett-Teller (BET) model analyzer and scanning electron microscope (SEM), and the formation of the monolithic sorbent was examined using the FT-IR. Eight proteins (cytochrome C, insulin, myoglobin, lysozyme, β-lactoglobulin, trypsin, albumin chicken egg white, and apo-transferrin) with different molecular weight and isoelectric point were investigated for pre-concentration using the SCX/RP sorbent. It was found that the highest extraction recovery was obtained with three proteins cytochrome C, lysozyme, and myoglobin compared with the other proteins. These three proteins were chosen for pre-concentration using the glass microchip. Sorbent performance showed significant results in terms of stability and reproducibility.



2019 ◽  
Vol 83 (2) ◽  
pp. 173-181
Author(s):  
Mingxue Li ◽  
Ligai Bai ◽  
Fanrong Sun ◽  
Shan Peng ◽  
Haiyan Liu ◽  
...  


2016 ◽  
Vol 5 (2) ◽  
pp. 47
Author(s):  
Xiaoxia Li ◽  
Yu Ri Lee ◽  
Kyung Ho Row

A 17-run Box-Behnken Design (BBD) was introduced to optimize the synthesis conditions of a monolithic sorbent. The effects of the amount of monomer (mL), crosslinker (mL) and porogen (mL) were investigated. The experimental data was fitted to a second - order polynomial equation by multiple regression analysis, which was examined using statistical methods. The adjusted coefficient of determination (R2Adj) in this model was 0.9867. The probability value (p<0.0001) revealed the high significance of the regression model. A mean amount of 5057.4 mg polymer was produced under the following optimized synthesis conditions: 0.51 mL monomer, 2.94 mL crosslinker and 2.84 mL porogen. The actual experimental result was in good agreement with the predicted model value.





2012 ◽  
Vol 45 (16) ◽  
pp. 2359-2366 ◽  
Author(s):  
Minglei Tian ◽  
Tao Zhu ◽  
Ha Eun Park ◽  
Kyung Ho Row




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