Surface Ionization Strategy of Monodisperse Magnetic Nanospheres Boosting the Extraction Selectivity for Aristolochic Acid I in Traditional Chinese Patent Medicines

马兜铃酸 分散性 Boosting(机器学习) 选择性 材料科学 化学 纳米技术 有机化学 计算机科学 催化作用 遗传学 生物 机器学习
作者
Xiujun Cao,Qiyue Xie,Changjun Li,Yuan Luo,Jiabin Zhang,Guoxin Song,Chunhui Deng
出处
期刊:Social Science Research Network [Social Science Electronic Publishing]
标识
DOI:10.2139/ssrn.4252172
摘要

Cationic polymer-grafted particles have been identified as promising separation materials for acidic molecules. In this study, N,N-dimethylaminopropyl acrylamide (DMAPAm) was used as a cationic monomer and copolymerized with divinylbenzene (DVB) onto the surface of monodisperse magnetic nanoparticles. The poly (DVB-co-DMAPAm) layer exhibit amphiphilic property similar to that of the poly (DVB-co-NVP) layer prepared in our previous work. During observation of adsorption and desorption properties of this nanocomposite for compounds with different ionization modes, the nanocomposite demonstrated efficient adsorption and desorption for aristolochic acid I (AAI), while low efficiency for the amphoteric and basic compounds. The adsorption selectivity for AAI was attributed to (1) the electrostatic interaction with the cationic moiety of copolymer and (2) the hydrophobic and π-π stacking interactions from the aromatic ring of copolymer. Based on these properties, a simple and fast magnetic solid phase extraction (MSPE) method coupled with HPLC was developed for quantification of AAI in traditional Chinese patent medicines (TCPM). This method was proved to be robust in the analysis of real drug samples, which was characterized by good linearity (R2=0.9999), high recoveries (90.4%-98.9% when spiked at 0.05-1.0 μg mL-1) and a satisfactory repeatability (relative standard deviation below 3.9%, n=6). Additionally, the proposed nanocomposite could be reused for six cycles without a significant loss of extraction capability, highlighting the merits of stability and reusability.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
咕噜仔发布了新的文献求助10
刚刚
寒冷书竹发布了新的文献求助10
刚刚
落雨冥完成签到,获得积分10
刚刚
xinchengzhu完成签到,获得积分10
刚刚
刚刚
慕课魔芋完成签到 ,获得积分10
1秒前
1秒前
左丘幼旋1完成签到,获得积分10
1秒前
无奈的胡萝卜完成签到,获得积分10
2秒前
2秒前
科研通AI5应助优雅的琳采纳,获得10
2秒前
机灵的囧完成签到,获得积分10
3秒前
时光完成签到,获得积分10
3秒前
七大洋的风完成签到,获得积分10
3秒前
左丘幼旋1发布了新的文献求助10
4秒前
amumu发布了新的文献求助10
4秒前
三金发布了新的文献求助10
4秒前
6秒前
kingwill应助明天更好采纳,获得20
6秒前
7秒前
乐乐应助gaos采纳,获得10
7秒前
lzy完成签到,获得积分10
7秒前
阿烨发布了新的文献求助10
7秒前
天天快乐应助科研通管家采纳,获得10
7秒前
天天快乐应助科研通管家采纳,获得10
8秒前
gcc应助科研通管家采纳,获得10
8秒前
FashionBoy应助科研通管家采纳,获得10
8秒前
彭于晏应助科研通管家采纳,获得10
8秒前
小二郎应助sure采纳,获得10
8秒前
领导范儿应助科研通管家采纳,获得10
8秒前
今后应助科研通管家采纳,获得10
8秒前
在水一方应助科研通管家采纳,获得10
8秒前
思源应助科研通管家采纳,获得10
8秒前
yin完成签到,获得积分10
8秒前
Akim应助科研通管家采纳,获得10
8秒前
天天快乐应助科研通管家采纳,获得10
8秒前
汉堡包应助科研通管家采纳,获得10
9秒前
脑洞疼应助科研通管家采纳,获得10
9秒前
Hello应助科研通管家采纳,获得10
9秒前
打打应助科研通管家采纳,获得10
9秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527469
求助须知:如何正确求助?哪些是违规求助? 3107497
关于积分的说明 9285892
捐赠科研通 2805298
什么是DOI,文献DOI怎么找? 1539865
邀请新用户注册赠送积分活动 716714
科研通“疑难数据库(出版商)”最低求助积分说明 709678