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On-line enrichment and determination of aristolochic acid in medicinal plants using a MOF-based composite monolith as adsorbent.
Journal of Chromatography B ( IF 3 ) Pub Date : 2020-08-28 , DOI: 10.1016/j.jchromb.2020.122343
Miaomiao Zhang 1 , Haiyan Liu 1 , Yamei Han 1 , Ligai Bai 1 , Hongyuan Yan 1
Affiliation  

In this study, modified UiO-66-NH2 and N-methylolacrylamide (NMA) were used as common monomers to prepare a metal organic framework (MOF)-based composite monolith through in-situ polymerization, which was used as a new adsorbent to purify and enrich aristolochic acid-I (AA-I) in medicinal plants. The MOF-based composite monolithic column was characterized by nitrogen adsorption–desorption isotherm, mercury intrusion porosimetry and scanning electron microscopy (SEM). The adsorption ability of MOF-based composite monolith for AA-I was compared with that of the polymer monolith without MOF added. The results proved that the addition of UiO-66-NH2 can increase both the specific surface area and the permeability of the monolith. Moreover, the adsorption amount of AA-I on the monolith improved. This proposed on-line solid phase extraction (SPE) method showed good linear relationship in the range 0.044 ~ 400 μg/mL with r = 0.9994; the limit of detection (LOD) was 13.08 ng/mL and the limit of quantification (LOQ) was 44.00 ng/mL; the intra-day and inter-day accuracies were less than 0.97%; the inter-column accuracies was less than 6.11%; the recovery was in the range of 91.11%~106.48%. The method was found to be easy, accurate and convenient for on-line enrichment and purification of AA-I in medicinal plants.



中文翻译:

使用基于MOF的复合整料作为吸附剂在线富集和测定药用植物中的马兜铃酸。

在这项研究中,改性的UiO-66-NH 2N-羟甲基丙烯酰胺(NMA)被用作普通单体,通过原位聚合制备基于金属有机骨架(MOF)的复合整料,用作新的吸附剂在药用植物中纯化和富集马兜铃酸-I(AA-I)。基于MOF的复合整体柱的特征在于氮吸附-解吸等温线,压汞法和扫描电子显微镜(SEM)。将基于MOF的复合整料对AA-1的吸附能力与不添加MOF的聚合物整料的吸附能力进行了比较。结果证明添加UiO-66-NH 2可以增加整体表面积的比表面积和渗透率。此外,AA-1在整料上的吸附量得到改善。提出的在线固相萃取(SPE)方法在0.044〜400μg/ mL范围内具有良好的线性关系,r = 0.9994;检测限(LOD)为13.08 ng / mL,定量限(LOQ)为44.00 ng / mL;日内和日间准确性均低于0.97%;列间准确性低于6.11%;回收率在91.11%〜106.48%之间。发现该方法对于药用植物中AA-1的在线富集和纯化是简单,准确和方便的。

更新日期:2020-09-07
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