Molecularly imprinted polymer based on magnetic porous cellulose for specific adsorption of tetracyclines: Preparation, characterization, property evaluation, and application

吸附 热重分析 化学工程 热稳定性 材料科学 选择性 分子印迹聚合物 聚合物 选择性吸附 傅里叶变换红外光谱 化学 核化学 有机化学 工程类 催化作用
作者
Li Deng,Zeng Wen,Jing Lin,Jia Zeng,Li Zhou,Famin Ke,Die Gao,Dandan Wang
出处
期刊:Materials Today Chemistry [Elsevier BV]
卷期号:33: 101742-101742 被引量:23
标识
DOI:10.1016/j.mtchem.2023.101742
摘要

A magnetic porous cellulose molecularly imprinted polymer (MPCMIP) based on tetracyclines was prepared with Fe3O4 as the magnetic core and porous cellulose as the carrier. The appearance, characteristic chemical bonds, crystal structure, thermal stability, and magnetism of MPCMIP were systematically characterized by scanning electron microscopy, Fourier transform infrared spectroscopy, X-ray diffraction, thermogravimetric analysis, and vibrating sample magnetometry. The adsorption performance of MPCMIP to tetracycline, demeclocycline, and minocycline were comprehensively investigated by static adsorption, dynamic adsorption, and adsorption experiments under different temperature and pH conditions. MPCMIP performed good adsorption performance and fast adsorption rate for tetracyclines, and adsorption quantity and efficiency of MPCMIP were four times and twice that of traditional molecularly imprinted polymer (MIP), respectively. It can be seen that the introduction of magnetic porous cellulose effectively improved the adsorption performance of the MIP. Moreover, MPCMIP showed good adsorption stability under different temperature. The adsorption properties of MPCMIP under neutral and alkaline conditions were better than those under acidic conditions. Selective experiment was conducted with the amoxicillin and levofloxacin as the coexisting interfering compounds for the three tetracyclines. The results showed that MPCMIP possessed good imprinting effect with the impact factor values for tetracycline, demeclocycline, and minocycline of 1.49, 1.66, and 3.14, respectively. Compared with interfering compounds, MPCMIP showed excellent selectivity to tetracyclines with the selectivity factor up to 36.9. Moreover, MPCMIP exhibited better selectivity towards tetracyclines than traditional MIP according to the higher imprinting and selectivity factors of MPCMIP. The simulation of hydrogen bonding interaction and electrostatic potential analysis determined that MPCMIP mainly adsorbed TCs through the hydrogen bonding and electrostatic interactions. The results of adsorption/desorption cycling experiments indicated that MPCMIP had good reusability with 95.5% of adsorption performance after four cycles. Finally, MPCMIP combined with high-performance liquid chromatography were triumphantly used to adsorb and detect the tetracycline, demeclocycline, and minocycline in river, beef, and milk samples. Furthermore, the MPCMIP method exhibited higher sensitivity, accuracy, and selectivity than the traditional method.
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
坚强幻露完成签到 ,获得积分10
刚刚
阿杰发布了新的文献求助10
刚刚
1秒前
文栀完成签到,获得积分10
1秒前
安静沅完成签到,获得积分10
1秒前
1秒前
斯文若血完成签到,获得积分10
1秒前
xinhuai发布了新的文献求助10
1秒前
xixixi完成签到,获得积分10
2秒前
2秒前
testz完成签到,获得积分10
2秒前
2秒前
ATX关闭了ATX文献求助
3秒前
张倩发布了新的文献求助10
3秒前
陈大眼发布了新的文献求助10
4秒前
所所应助一小条毛辣丁采纳,获得10
4秒前
GXF发布了新的文献求助10
4秒前
某某完成签到,获得积分10
4秒前
科研通AI6.4应助椰椰采纳,获得20
4秒前
斯文败类应助Wenzlee采纳,获得30
5秒前
haimaisi完成签到,获得积分10
5秒前
twotonp发布了新的文献求助10
5秒前
啊怪发布了新的文献求助10
5秒前
万能图书馆应助7781采纳,获得10
5秒前
斯文败类应助123采纳,获得10
5秒前
Xander完成签到,获得积分10
5秒前
Cc关注了科研通微信公众号
6秒前
6秒前
小二郎应助怕孤单的易形采纳,获得10
6秒前
白杨发布了新的文献求助10
7秒前
7秒前
SC234发布了新的文献求助10
7秒前
空气罐头完成签到,获得积分10
7秒前
Guan完成签到,获得积分10
8秒前
dingtao完成签到,获得积分10
8秒前
10秒前
脑洞疼应助韩程果采纳,获得10
10秒前
Ranhom发布了新的文献求助10
10秒前
kou完成签到,获得积分10
11秒前
11秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7294413
求助须知:如何正确求助?哪些是违规求助? 8912809
关于积分的说明 18870833
捐赠科研通 6960934
什么是DOI,文献DOI怎么找? 3210053
关于科研通互助平台的介绍 2379403
邀请新用户注册赠送积分活动 2186294