Molecularly Imprinted Polymers: Latest Advances and Applications

A special issue of Polymers (ISSN 2073-4360). This special issue belongs to the section "Smart and Functional Polymers".

Deadline for manuscript submissions: 25 October 2024 | Viewed by 535

Special Issue Editor


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Guest Editor
Department of Natural Sciences, Mathematics and Statistics, Federal Rural University of the Semi-Arid, Mossoró 59625-900, RN, Brazil
Interests: analytical chemistry; polymer; biomimetic sensor; adsorption; optodes; nanomaterials
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Special Issue Information

Dear Colleagues,

New molecularly imprinted polymers (MIPs) are synthetic polymers, also known as smart materials, designed to recognize specific target molecular structures. In recent years, molecular imprinting technology has emerged as a prominent topic in the fabrication of artificial systems capable of mimicking natural receptors. The main aim of this Special Issue is to explore the latest progress made in imprinted techniques and provide a collection of high-quality full research papers, communications, and critical reviews covering both applied and fundamental advances in this field.

Prof. Dr. Sabir Khan
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Polymers is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • molecularly imprinted polymers (MIPs)
  • biomimetic sensor
  • computer simulation
  • pollution abatement
  • hybrid materials
  • nanocomposites
  • modelling and optimisation
  • statistical techniques

Published Papers (1 paper)

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Research

29 pages, 9352 KiB  
Article
Preparation of a Molecularly Imprinted Polymer on Polyethylene Terephthalate Platform Using Reversible Addition-Fragmentation Chain Transfer Polymerization for Tartrazine Analysis via Smartphone
by Christian Jacinto Hernández, Raúl Medina, Ily Maza Mejía, Mario Hurtado, Sabir Khan, Gino Picasso, Rosario López and María D. P. T. Sotomayor
Polymers 2024, 16(10), 1325; https://doi.org/10.3390/polym16101325 - 8 May 2024
Abstract
This work describes the preparation of a molecularly imprinted polymer (MIP) platform on polyethylene terephthalate (MIP-PET) via RAFT polymerization for analyzing tartrazine using a smartphone. The MIP-PET platform was characterized using Fourier transform infrared (FTIR) techniques, Raman Spectroscopy, X-ray photoelectron spectroscopy (XPS), and [...] Read more.
This work describes the preparation of a molecularly imprinted polymer (MIP) platform on polyethylene terephthalate (MIP-PET) via RAFT polymerization for analyzing tartrazine using a smartphone. The MIP-PET platform was characterized using Fourier transform infrared (FTIR) techniques, Raman Spectroscopy, X-ray photoelectron spectroscopy (XPS), and confocal microscopy. The optimal pH and adsorption time conditions were determined. The adsorption capacity of the MIP-PET plates with RAFT treatment (0.057 mg cm−2) was higher than that of the untreated plates (0.028 mg cm−2). The kinetic study revealed a pseudo-first-order model with intraparticle diffusion, while the isotherm study indicated a fit for the Freundlich model. Additionally, the MIP-PET demonstrated durability by maintaining its adsorption capacity over five cycles of reuse without significant loss. To quantify tartrazine, images were captured using a smartphone, and the RGB values were obtained using the ImageJ® free program. A partial least squares regression (PLS) was performed, obtaining a linear range of 0 to 7 mg L−1 of tartrazine. The accuracy of the method was 99.4% (4.97 ± 0.74 mg L−1) for 10 samples of 5 mg L−1. The concentration of tartrazine was determined in two local soft drinks (14.1 mg L−1 and 16.5 mg L−1), with results comparable to the UV–visible spectrophotometric method. Full article
(This article belongs to the Special Issue Molecularly Imprinted Polymers: Latest Advances and Applications)
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