Li Li, Zhao Danhui, Du Kun-Ze, Li Jin, Fang Shiming, He Jun, Tian Fei, Chang Yanxu
State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Tianjin Key Laboratory of Phytochemistry and Pharmaceutical Analysis, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
J Chromatogr B Analyt Technol Biomed Life Sci. 2023 Feb 15;1217:123617. doi: 10.1016/j.jchromb.2023.123617. Epub 2023 Jan 26.
Zanthoxyli Radix, the dried root of Zanthozylum nitidum (Roxb.) DC, one of traditional Chinese medicines (TCMs), exhibits various pharmacological activities such as anti-bacterial, anti-inflammatory, anti-tumor, analgesic activity. A sustainable vortex-enhanced magnetic solid phase extraction (VE-MSPE) method combined with ultra-high performance liquid chromatography (UHPLC) was established to enrich and analyze the bioactive quaternary ammonium alkaloids (QAAs) of Zanthoxyli Radix. FeO@C@CMCS magnetic nanoparticles (MNPs) was first synthesized for selectively adsorbing target QAAs (magnolinine, sanguinarine, nitidine chloride and chelerythrine), which possess excellent adsorption performance after being reused 10 times. The results revealed that the great adsorption rate of FeO@C@CMCS MNPs for the four QAAs could reach 55.1-78.7 %. In addition, a reliable linear relationship (r ≥ 0.9995) and good recovery (97.5-104 %) was obtained. Consequently, the VE-MSPE method applying FeO@C@CMCS MNPs as a sustainable adsorbent exhibited great potential in the selective enrichment of QAAs in TCM.
中药两面针的干燥根——两面针，具有抗菌、抗炎、抗肿瘤、镇痛等多种药理活性。建立了一种可持续的涡旋增强磁性固相萃取（VE-MSPE）结合超高效液相色谱（UHPLC）的方法，用于富集和分析两面针中的生物活性季铵生物碱（QAA）。首先合成了FeO@C@CMCS磁性纳米颗粒（MNP），用于选择性吸附目标QAA（木兰碱、血根碱、氯化两面针碱和白屈菜红碱），该磁性纳米颗粒在重复使用10次后仍具有优异的吸附性能。结果表明，FeO@C@CMCS MNP对四种QAA的吸附率高达55.1-78.7%。此外，获得了可靠的线性关系（r≥0.9995）和良好的回收率（97.5-104%）。因此，以FeO@C@CMCS MNP为可持续吸附剂的VE-MSPE方法在中药中QAA的选择性富集方面具有巨大潜力。
