Synthetic Receptors Decorated on Nanoparticles for Selective and Sensitive Glyphosate Detection
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 re...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-01-01
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| Series: | Photonic Sensors |
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| Online Access: | https://doi.org/10.1007/s13320-025-0737-5 |
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| author | Ilgım Gokturk Mamajan Ovezova Gaye Ezgi Yilmaz Deniz Turkmen Fatma Yilmaz Adil Denizli |
| author_facet | Ilgım Gokturk Mamajan Ovezova Gaye Ezgi Yilmaz Deniz Turkmen Fatma Yilmaz Adil Denizli |
| author_sort | Ilgım Gokturk |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-6898275cc67a40e5be362891165e4607 |
| institution | Kabale University |
| issn | 1674-9251 2190-7439 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Photonic Sensors |
| spelling | doaj-art-6898275cc67a40e5be362891165e46072025-02-02T12:13:35ZengSpringerOpenPhotonic Sensors1674-92512190-74392025-01-0115311710.1007/s13320-025-0737-5Synthetic Receptors Decorated on Nanoparticles for Selective and Sensitive Glyphosate DetectionIlgım Gokturk0Mamajan Ovezova1Gaye Ezgi Yilmaz2Deniz Turkmen3Fatma Yilmaz4Adil Denizli5Department of Chemistry, Hacettepe UniversityDepartment of Chemistry, Hacettepe UniversityDepartment of Chemistry, Hacettepe UniversityDepartment of Chemistry, Hacettepe UniversityDepartment of Chemistry Technology, Vocational School of Gerede, Abant Izzet Baysal UniversityDepartment of Chemistry, Hacettepe UniversityAbstract 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.https://doi.org/10.1007/s13320-025-0737-5N-methacroyl-(L)-phenylalanine methyl estermolecular imprintingglyphosatepesticidesurface plasmon resonance |
| spellingShingle | Ilgım Gokturk Mamajan Ovezova Gaye Ezgi Yilmaz Deniz Turkmen Fatma Yilmaz Adil Denizli Synthetic Receptors Decorated on Nanoparticles for Selective and Sensitive Glyphosate Detection Photonic Sensors N-methacroyl-(L)-phenylalanine methyl ester molecular imprinting glyphosate pesticide surface plasmon resonance |
| title | Synthetic Receptors Decorated on Nanoparticles for Selective and Sensitive Glyphosate Detection |
| title_full | Synthetic Receptors Decorated on Nanoparticles for Selective and Sensitive Glyphosate Detection |
| title_fullStr | Synthetic Receptors Decorated on Nanoparticles for Selective and Sensitive Glyphosate Detection |
| title_full_unstemmed | Synthetic Receptors Decorated on Nanoparticles for Selective and Sensitive Glyphosate Detection |
| title_short | Synthetic Receptors Decorated on Nanoparticles for Selective and Sensitive Glyphosate Detection |
| title_sort | synthetic receptors decorated on nanoparticles for selective and sensitive glyphosate detection |
| topic | N-methacroyl-(L)-phenylalanine methyl ester molecular imprinting glyphosate pesticide surface plasmon resonance |
| url | https://doi.org/10.1007/s13320-025-0737-5 |
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