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Regular | Open Access

Synthetic Receptors Decorated on Nanoparticles for Selective and Sensitive Glyphosate Detection

Ilgım GOKTURK1Mamajan OVEZOVA1Gaye Ezgi YILMAZ1Deniz TURKMEN1Fatma YILMAZ2Adil DENIZLI1( )
Department of Chemistry, Hacettepe University, Ankara 06800, Turkey
Department of Chemistry Technology, Vocational School of Gerede, Abant Izzet Baysal University, Bolu 14900, Turkey
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Abstract

Herein, an innovative glyphosate imprinted poly(hydroxyethyl methacrylate-N-methacroyl-(L)-phenylalanine methyl ester nanoparticles (MIP@NPs) based plasmonic nanosensor featured with high sensitivity and selectivity was constructed by using the molecular imprinting technique and used for real-time glyphosate detection. The characterization of nanoparticles was performed by the nano Zetasizer and scanning electron microscopy (SEM), while nanosensors were characterized by the Fourier transform infrared-attenuated total reflection (FTIR-ATR) and contact angle measurement. Control experiments were conducted to evaluate the imprinting efficiency on the signal response using a non-imprinted surface plasmon resonance (NIP SPR) nanosensor prepared without adding glyphosate pesticide into the polymerization mixture. The MIP@NPs integrated molecularly imprinted surface plasmon resonance (MIP SPR) nanosensor having synthetic molecular recognition elements yielded a novel biosensing platform for label-free detection and real-time monitoring of glyphosate pesticide. The MIP SPR nanosensor detected the target glyphosate molecule 4.950 times more selectively than the competitor molecule malathion while 3.918 times more selectively than the competitor molecule malaoxon. In addition, the imprinting efficiency factor was found to be 6.76, indicating that the molecular imprinting process was successful. In addition, the imprinting factor was found to be 6.76. Kinetic studies and adsorption characteristics of glycosate adsorption were carried out to assess adsorption dynamics. The linear concentration range for glyphosate detection was 0.001 ppm–10.000 ppm of pesticide, and the detection limit was found to be 0.120 ppb. Studies on the repeatability of the MIP SPR nanosensor revealed that even after five cycles, the signal response for glyphosate detection did not change significantly with relative standard deviation, RSD<1.5 value. The artificial urine selected as the real sample was spiked with glyphosate at a final concentration of 10.000 ppm to evaluate the matrix effect, and the glyphosate amount was reported.

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Photonic Sensors
Article number: 250305

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Cite this article:
GOKTURK I, OVEZOVA M, YILMAZ GE, et al. Synthetic Receptors Decorated on Nanoparticles for Selective and Sensitive Glyphosate Detection. Photonic Sensors, 2025, 15(3): 250305. https://doi.org/10.1007/s13320-025-0737-5

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Received: 01 January 2024
Revised: 08 May 2024
Published: 30 January 2025
© The Author(s) 2024.

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.