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Synthesis and Characterization of Boronate Affinity Three-Dimensionally Ordered Macroporous Materials

化学 吸附 选择性 硼酸 傅里叶变换红外光谱 X射线光电子能谱 选择性吸附 十二烷基硫酸钠 色谱法 化学工程 组合化学 有机化学 工程类 催化作用
作者
Zhipeng Li,Luxia Zhang,Xiangyu Han,Q. An,Mengying Chen,Z. Song,Lin‐Yi Dong,Xianhua Wang,Yang Yu
出处
期刊:Polymers [Multidisciplinary Digital Publishing Institute]
卷期号:16 (11): 1539-1539 被引量:1
标识
DOI:10.3390/polym16111539
摘要

Sample pretreatment is a key step for qualitative and quantitative analysis of trace substances in complex samples. Cis-dihydroxyl (cis-diol) group-containing substances exist widely in biological samples and can be selectively bound by boronate affinity adsorbents. Based on this, in this article, we proposed a simple method for the preparation of novel spherical three-dimensionally ordered macropore (3DOM) materials based on a combination of the boronate affinity technique and colloidal crystal template method. The prepared 3DOM materials were characterized using Fourier transform–infrared spectroscopy, scanning electron microscopy, X-ray photoelectron spectroscopy, and thermo-gravimetric analysis, and results showed that they possessed the characteristics of a high specific surface area, high porosity, and more boronic acid recognition sites. The adsorption performance evaluation results showed that the maximum adsorption capacity of the boron affinity 3DOMs on ovalbumin (OVA) could reach to 438.79 mg/g. Kinetic and isothermal adsorption experiments indicated that the boronate affinity 3DOM material exhibited a high affinity and selectivity towards OVA and adenosine. Sodium dodecyl sulfate–polyacrylamide gel electrophoresis analysis of the proteins in egg whites was conducted and proved that the glycoprotein in the egg whites could be separated and enriched with a good performance. Therefore, a novel boronate affinity 3DOM material a with highly ordered and interconnected pore structure was prepared and could be applied in the separation and enrichment of molecules with cis-diol groups from complex samples with a good selectivity, efficiency, and high throughput.

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