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Synthesis and characterization of hollow porous molecular imprinted polymers for the selective extraction and determination of caffeic acid in fruit samples

机译:中空多孔分子印迹聚合物的合成与表征,用于水果样品中咖啡酸的选择性提取和测定

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摘要

Hollow porous molecular imprinted polymers (HPMIPs) were prepared using caffeic acid (CA) as template, 4-vinylpyridine (4-VP) as functional monomer, and MCM-48 as sacrificial support. Large surface area (562.7 m(2)/g) of HPMIPs resulted in high binding capacity (27.26 mg/g) and fast kinetic binding (40 min) in comparison with solid MIPs. Equilibrium data fitted well to Freundlich equation, and adsorption process with multi-diffusion mechanisms could be described by pseudo-second order model. Selectivity of HPMIPs was favorable. Finally, HPMIPs were successfully used to rapidly and selectively extract CA from fruits with a relatively satisfactory recovery (87.1-101.3%). Coupling with HPLC, contents of CA in kiwifruit, apple, papaya and waxberry were less than 1.0 mu g/g fresh fruit. Results indicated the superiority of HPMIPs in the separation field. (C) 2016 Elsevier Ltd. All rights reserved.
机译:使用咖啡酸(CA)作为模板,4-乙烯基吡啶(4-VP)作为功能性单体以及MCM-48作为牺牲性载体,制备了中空的多孔分子印迹聚合物(HPMIP)。与固态MIP相比,HPMIP的大表面积(562.7 m(2)/ g)导致高结合能力(27.26 mg / g)和快速动力学结合(40分钟)。平衡数据非常适合Freundlich方程,并且可以用伪二级模型描述具有多扩散机制的吸附过程。 HPMIP的选择性是有利的。最后,成功地将HPMIPs用于从果实中快速选择性地提取CA,回收率相对令人满意(87.1-101.3%)。与HPLC结合,猕猴桃,苹果,木瓜和杨梅中的CA含量低于1.0μg / g新鲜水果。结果表明,HPMIPs在分离领域具有优势。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Food Chemistry》 |2017年第1期|32-36|共5页
  • 作者单位

    Cent S Univ, Coll Chem & Chem Engn, Changsha 410083, Hunan, Peoples R China;

    Cent S Univ, Coll Chem & Chem Engn, Changsha 410083, Hunan, Peoples R China;

    Southern Med Univ, Sch Pharmaceut Sci, Guangzhou 510515, Guangdong, Peoples R China;

    Jishou Univ, Key Lab Hunan Forest Prod & Chem Ind Engn, Zhangjiajie 427000, Peoples R China;

    Cent S Univ, Coll Chem & Chem Engn, Changsha 410083, Hunan, Peoples R China;

    Cent S Univ, Coll Chem & Chem Engn, Changsha 410083, Hunan, Peoples R China|Jishou Univ, Key Lab Hunan Forest Prod & Chem Ind Engn, Zhangjiajie 427000, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Molecularly imprinted polymers; Kinetic models; Selective extraction; Caffeic acid; Food analysis;

    机译:分子印迹聚合物;动力学模型;选择性萃取;咖啡酸;食品分析;

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