Computational design and synthesis of molecular imprinted polymers for selective solid phase extraction of sulfonylurea herbicides
| Autor: | Wei Song, Ding Lei, Xue-Ying Jia, Zhou Dianbing, Yan-Yun Hu, Ya-Ning Lv, Han Fang, Deng Xiaojun, Ping Zheng, Lei Zhang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
medicine.drug_class
010402 general chemistry 01 natural sciences Biochemistry Chemistry Techniques Analytical Analytical Chemistry chemistry.chemical_compound Molecularly Imprinted Polymers Tandem Mass Spectrometry medicine Humans Solid phase extraction Arylsulfonates Chromatography High Pressure Liquid Acrylic acid chemistry.chemical_classification Chromatography Herbicides Chemistry Solid Phase Extraction 010401 analytical chemistry Organic Chemistry Extraction (chemistry) Molecularly imprinted polymer General Medicine Polymer Sulfonylurea 0104 chemical sciences Sulfonylurea Compounds Monomer Selectivity |
| Zdroj: | Journal of Chromatography A. 1651:462321 |
| ISSN: | 0021-9673 |
| DOI: | 10.1016/j.chroma.2021.462321 |
| Popis: | A high-efficiency approach for the synthesis of molecularly imprinted polymers has been developed and further for the solid-phase extraction of sulfonylurea herbicides in food samples. Molecular simulation approach combined chemometric selected metsulfuron-methyl (MSM) and 2-trifluoromethyl acrylic acid (TFMAA) as the template and the monomer to synthesize the molecularly imprinted polymers (MIPs). Experimental validation confirmed that the MSM-imprinted polymers showed a higher selectivity and affinity to sulfonylurea herbicides. The optimized molecularly imprinted solid-phase extraction (MISPE) conditions, including loading, washing, and eluting conditions, were established. The developed MISPE technology combined HPLC-MSMS was successfully used for the determination of sulfonylurea herbicides in foods. Compared with commercial SPE columns, MISPE showed high affinity, excellent selectivity and low matrix effect. The recoveries of sulfonylurea herbicides spiked in four matrices were between 86.4% and 100.2%, with the relative standard deviations (RSD) in the range of 0.9%-10.5%. |
| Databáze: | OpenAIRE |
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