Preparation and evaluation of magnetic graphene oxide molecularly imprinted polymers (MIPs-GO-Fe3O4@SiO2) for the analysis and separation of tripterine

分子印迹聚合物 石墨烯 材料科学 热重分析 甲基丙烯酰胺 化学工程 朗缪尔吸附模型 傅里叶变换红外光谱 聚合物 吸附 聚合 化学 单体 乙二醇二甲基丙烯酸酯 甲基丙烯酸 有机化学 选择性 纳米技术 催化作用 复合材料 工程类 丙烯酰胺
作者
Qing Chen,Xinmei Liu,Huayu Yang,Shuyi Zhang,Hua Song,Xuan Zhu
出处
期刊:Reactive & Functional Polymers [Elsevier BV]
卷期号:169: 105055-105055 被引量:24
标识
DOI:10.1016/j.reactfunctpolym.2021.105055
摘要

In this study, the novel magnetic molecularly imprinted polymers (MMIPs) with a specific tripterine recognition ability have been synthesized via molecular imprinting technology. The MMIPs were prepared using graphene oxide (GO) with Fe 3 O 4 nanoparticles coated with silica shell as the magnetic component, tripterine as the template molecule, methacrylamide (MAM) as the functional monomer, ethylene glycol dimethacrylate (EGDMA) as the cross-linker, acetonitrile (ACN) as the pore-forming agent, and 2,2′-azobisisobutyronitrile (AIBN) as the initiator. Several polymerization parameters were systematically investigated, including the ratio of template/functional monomer/cross-linker, the dosage of the pore-forming agent and the initiator, and the time of prepolymerization. The morphology, structure and stability of the resultant MMIPs were characterized by scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD) and thermogravimetric analysis (TGA). Saturation magnetization value of MIPs was 37.10 emu/g by superconducting quantum interference magnetometer, exhibiting good magnetic property. The selectivity, separation performance and adsorption mechanism were also studied. These results showed that MIPs exhibit good recognition of tripterine compared to non-imprinted polymer (NIPs). The binding process of MIPs was very fast and the maximum adsorption capacity to tripterine was 30.73 mg/g. Pseudo-second-order kinetic model fitted well with the kinetic data and binding isotherm was well described by Langmuir isotherm model. HPLC-UV analysis results revealed the application of MIPs was sufficiently specific, rapid and sensitive in the extraction, separation and quantitative determination of tripterine. This work also provided an important reference for the separation, enrichment and purification of specific constituent in complicated Traditional Chinese medicine (TCM) samples. • The MMIPs of tripterine were first successfully prepared by molecular imprinting technology using GO–Fe 3 O 4 @SiO 2 as carrier. • The MMIPs showed excellent recognition and accurate selection properties toward tripterine over analogues from TCM samples. • The adsorption process of MMIPs exhibited sensitive and quick response according the kinetic data and binding isotherm. • The MMIPs provide a quick and simple method for complex TCM samples or in vivo analysis of tripterine.
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
FashionBoy的应助被冀晓梦采纳,获得10
刚刚
谦让凡松发布了新的文献求助10
刚刚
我就吃一口的应助被Lin采纳,获得20
刚刚
wang发布了新的文献求助10
1秒前
1秒前
1秒前
小医小鱼发布了新的文献求助10
2秒前
科研通AI6.4的应助被坚定伊采纳,获得10
2秒前
2秒前
3秒前
谢奕完成签到,获得积分10
3秒前
4秒前
4秒前
4秒前
晚风发布了新的文献求助30
5秒前
莫西莫西发布了新的文献求助10
5秒前
洛杉矶嬴政完成签到 ,获得积分10
5秒前
5秒前
苏苏苏发布了新的文献求助10
6秒前
Yuan完成签到 ,获得积分10
6秒前
6秒前
专注映容发布了新的文献求助10
6秒前
Zero发布了新的文献求助10
7秒前
慕青的应助被科研通管家采纳,获得10
7秒前
7秒前
坚强冰枫的应助被科研通管家采纳,获得10
7秒前
脑洞疼的应助被科研通管家采纳,获得10
7秒前
小蘑菇的应助被科研通管家采纳,获得10
7秒前
笙笙的应助被科研通管家采纳,获得10
7秒前
莓莓发布了新的文献求助10
7秒前
7秒前
在水一方的应助被科研通管家采纳,获得10
8秒前
8秒前
坚强冰枫的应助被科研通管家采纳,获得10
8秒前
quin完成签到,获得积分20
8秒前
minnanfan发布了新的文献求助10
8秒前
在水一方的应助被科研通管家采纳,获得10
8秒前
傲寒完成签到 ,获得积分10
8秒前
v0id的应助被科研通管家采纳,获得10
8秒前
田様的应助被科研通管家采纳,获得10
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea De Guyane 2000
内視鏡下経鼻経蝶形骨洞手術術後SIADHに対する予防的水制限の安全性と有効性の検討 1000
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
桑白皮エキスの実験的, 臨床的育毛効果について 500
Nonlinear vehicle active suspension system control method based on the extended high gain observer 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8000981
求助须知:如何正确求助?哪些是违规求助? 9453895
关于积分的说明 21146729
捐赠科研通 7573841
什么是DOI,文献DOI怎么找? 3381268
关于科研通互助平台的介绍 2513941
邀请新用户注册赠送积分活动 2415347