Preparation of a Molecularly Imprinted Polymer on Polyethylene Terephthalate Platform Using Reversible Addition-Fragmentation Chain Transfer Polymerization for Tartrazine Analysis via Smartphone

Author:

Hernández Christian Jacinto12,Medina Raúl1,Maza Mejía Ily12,Hurtado Mario3ORCID,Khan Sabir4,Picasso Gino2ORCID,López Rosario2ORCID,Sotomayor María D. P. T.56ORCID

Affiliation:

1. Laboratory of Instrumental Analysis Environment, Faculty of Sciences, National University of Engineering, Av. Tupac Amaru 210, Rimac 15333, Lima, Peru

2. Technology of Materials for Environmental Remediation (TecMARA) Research Group, Faculty of Sciences, National University of Engineering, Av. Tupac Amaru 210, Rimac 15333, Lima, Peru

3. Facultad de Ingeniería de Petróleo, Gas Natural y Petroquímica, Universidad Nacional de Ingeniería, Av. Tupac Amaru 210, Rimac 15333, Lima, Peru

4. Department of Exact Sciences and Technology, State University of Santa Cruz, Ilhéus 45662-900, BA, Brazil

5. Institute of Chemistry, State University of São Paulo (UNESP), Araraquara 14801-970, SP, Brazil

6. National Institute for Alternative Technologies of Detection, Toxicological Evaluation and Removal of Micropollutantans Radioactives (INCT-DATREM), Araraquara 14801-970, SP, Brazil

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 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.

Funder

CONCYTEC

FAPESP

Publisher

MDPI AG

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