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具有良好定向识别位点的表面多重印迹层膜,用于从榕属果实中选择性分离绿原酸。

A surface multiple imprinting layers membrane with well-oriented recognition sites for selective separation of chlorogenic acid from Ficus carica L.

机构信息

College of Chemistry, Chemical Engineering and Resource Utilization, Key Laboratory of Forest Plant Ecology, Ministry of Education, Engineering Research Center of Forest Bio-Preparation, Ministry of Education, Heilongjiang Provincial Key Laboratory of Ecological Utilization of Forestry-based Active Substances, Northeast Forestry University, Harbin 150040, China.

Department of Chemistry, Division of Science and Technology, University of Education, Lahore, Pakistan.

出版信息

Food Chem. 2024 Feb 1;433:137347. doi: 10.1016/j.foodchem.2023.137347. Epub 2023 Sep 3.

Abstract

Chlorogenic acid (CGA), known as an important natural antioxidative compound in Ficus carica L, has valuable application prospects on health food, functional food, nutrition and dietary formulations. In this study, a surface multiple imprinting layers membrane (SMILM) was developed and applied to separate CGA from F. carica. Two different imprinting layers were integrated onto the membrane surface in sequence. The first imprinting layer was formed by dopamine polymerization and the second imprinting layer was fabricated by atom transfer radical polymerization (ATRP) and boronate affinity. The prepared SMILM with well-oriented multiple recognition sites exhibited high adsorption capacity (52.08 mg·g in 60 min) for CGA and specific selectivity with imprinting factor (IF) of 3.06. Furthermore, the recognition mechanism of SMILM was clarified by molecular simulation and NMR. The SMILM was successfully applied to separate CGA from the fruits, peels and leaves of F. carica with recoveries of 90.22, 83.31 and 84.95 %, respectively.

摘要

绿原酸(CGA)是一种在榕属植物中重要的天然抗氧化化合物,在保健食品、功能性食品、营养和饮食配方方面具有有价值的应用前景。在本研究中,开发并应用了一种表面多重印迹层膜(SMILM)来分离 CGA 与榕属植物。两种不同的印迹层按顺序集成到膜表面上。第一层印迹层通过多巴胺聚合形成,第二层印迹层通过原子转移自由基聚合(ATRP)和硼酸亲和形成。制备的具有良好定向的多重识别位点的 SMILM 对 CGA 表现出高的吸附容量(60 分钟内为 52.08mg·g)和特异性选择性,印迹因子(IF)为 3.06。此外,通过分子模拟和 NMR 阐明了 SMILM 的识别机制。SMILM 成功地应用于从榕属植物的果实、果皮和叶片中分离 CGA,回收率分别为 90.22%、83.31%和 84.95%。

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