Deposition Methods for the Integration of Molecularly Imprinted Polymers (MIPs) in Sensor Applications

Author:

Caldara Manlio1,van Wissen Gil1,Cleij Thomas J.1,Diliën Hanne1,van Grinsven Bart1,Eersels Kasper1,Lowdon Joseph W.1ORCID

Affiliation:

1. Sensor Engineering Department Faculty of Science and Engineering Maastricht University P.O. Box 616 Maastricht MD 6200 The Netherlands

Abstract

AbstractOffering high specificity and selectivity, molecularly imprinted polymers (MIPs) are synthetic polymeric affinity reagents that have become increasingly popular over the last couple of decades. Due to their long‐term chemical and physical stability and low production cost, they have become an increasingly popular choice of receptor in the realm of sense. MIPs have therefore been associated with the detection of small molecules, proteins, cells, and pathogens, proving a highly robust and useful tool in the production of next‐gen sensing platforms. This said, the development of these sensors pivots on one simple fact; these receptors have to be deposited onto a substrate for their desired application. The deposition of MIPs during sensor fabrication is therefore of great importance, with the field utilizing an array of mechanical and chemical deposition methods to achieve this. To this end, this review, therefore, sets aim at coalescing these different deposition approaches, classifying them, and outlining their utility when it comes to receptor design and integration. Thus, offering a knowledge base on current deposition methods, potential future approaches and analyzing where the MIP deposition field is tending toward.

Funder

European Regional Development Fund

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