Issue 2, 2024

Application of molecularly imprinted polymers (MIPs) as environmental separation tools

Abstract

Suitable sorbents are required for the effective enhancement of sample extraction. Molecular imprinted polymers (MIPs) and related techniques can be utilized to create sorbents that possess specialized binding capabilities for target analytes, exhibiting high selectivity, and other unique attributes such as thermochemical stability, reusability, and sensitivity, thus aligning with the principles of green chemistry. These attributes can be customized; hence sample preparation can be carried out using a variety of methods and can be applied to a broad spectrum of samples, including environmental, biological, and food samples. Numerous techniques have emerged for the production of MIPs, that have their individual advantages and disadvantages. This review places particular emphasis on the interactions between primary functional groups and monomers and how these functional groups impact MIP performance. Additionally, we offer insights into how functional groups can significantly enhance the imprinting effect, resulting in a markedly increased imprinting factor and specific rebinding capacity. This work initially discusses the headway made in synthesis approaches and the applications of MIPs over the past five years. Then, provide a comprehensive overview of the common challenges encountered and the environmental applications of MIPs. The significance of the availability of various polymerization mechanisms and use of diverse functional molecules and cross-linkers is emphasized.

Graphical abstract: Application of molecularly imprinted polymers (MIPs) as environmental separation tools

Article information

Article type
Review Article
Submitted
16 Mph 2023
Accepted
16 Pun 2023
First published
21 Pun 2023
This article is Open Access
Creative Commons BY license

RSC Appl. Polym., 2024,2, 127-148

Application of molecularly imprinted polymers (MIPs) as environmental separation tools

D. A. Gkika, A. K. Tolkou, D. A. Lambropoulou, D. N. Bikiaris, P. Kokkinos, I. K. Kalavrouziotis and G. Z. Kyzas, RSC Appl. Polym., 2024, 2, 127 DOI: 10.1039/D3LP00203A

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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