Molecular Imprinting‐involving Highly Selective Tetracycline Detection Platform Based on Mn2V2O7 with Excellent Oxidase‐mimicking Activity

Author:

Zhao Huanjun1,Xu Xinxin1ORCID,Chen Jin2

Affiliation:

1. Department of Chemistry College of Science Northeastern University Shenyang 110819 Liaoning China

2. Key Laboratory of Electromagnetic Processing of Materials MOE Northeastern University Shenyang 110819 Liaoning China

Abstract

AbstractNanozymes‐involving colorimetry may represent an effective solution to tetracycline detection due to its affordability and simplicity. To improve the performance in selectivity, molecular imprinting technology has emerged as a promising approach to simulating the interaction between antibodies and receptors. Herein, Mn2V2O7, a form of nanozyme with oxidase‐mimicking activity, was synthesized. With tetracycline as the template, the cavities with unique dimensions were constructed through the self‐polymerization of dopamine (DA) on Mn2V2O7. In Mn2V2O7@MIP, polydopamine (PDA) acts as molecularly imprinted polymer (MIP) and its cavities are compatible with tetracycline in dimension. It also exhibits oxidase‐mimicking activity. With the introduction of tetracycline, the cavity of PDA is blocked, which leads to obvious color fading, which enables precise tetracycline detection with colorimetry. The range of linear detection is from 10 to 100 μM, and the lower limit of detection is 0.82 μM. It is anticipated that the combination between nanozymes‐involving colorimetry and molecular imprinting technology would contribute to the accurate detection of organic pollutants in the aquatic environment.

Funder

National Natural Science Foundation of China

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3