{# Audit 04/10/2026 : « autre » n'est pas un code de langue ; SPHAERO n'est pas l'éditeur des documents qu'elle héberge ou référence. #} {# citation_pdf_url doit mener à un PDF : un lien vers une page DOI est pénalisé par Google Scholar (avant : tout lien externe). #}
Accès ouvert · CC BY

Glyphosate detection via a nanomaterial-enhanced electrochemical molecularly imprinted polymer sensor

Article scientifique 2024 Anglais

Résumé

Abstract Glyphosate (GLY) is a widely used herbicide with an important role in agriculture. It effectively controls weeds, enhancing agricultural yield and product quality. However, its use raises significant concerns such as potential risks to non-target ecosystems and human health. In response to these concerns, we develop an electrochemical sensor with a molecularly imprinted polymer (MIP) and gold nanoparticles for GLY detection. The sensor includes a screen-printed carbon electrode (SPCE) functionalized with gold nanoparticles and a self-assembled polyvinyl carboxylic acid chloride (PVC-COOH) layer. GLY compounds interact with carboxylic groups and are encapsulated by a polymer of methacrylic acid (MAA) cross-linked with ethylene glycol dimethacrylate (EGDMA). Electrochemical performance was assessed using differential pulse voltammetry (DPV), cyclic voltammetry (CV), and electrochemical impedance spectroscopy (EIS). Morphological characterization was performed using scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), and atomic force microscopy (AFM). The sensor exhibits impressive selectivity, detecting GLY within a range of 273–1200 pg/mL with minimal interference from other pesticides. It boasts a low detection limit of 0.8 pg/mL (signal-to-noise ratio S/N = 3) by DPV and 0.001 pg/mL by EIS. The sensor’s versatility extends to various sample types, including surface water, agricultural wastewater, soil, and cucumber, demonstrating high recovery rates (> 96.05%) and low relative standard deviation (RSD) (< 5.7%). The developed MIP sensor is proven to be a valuable tool for rapid and highly sensitive detection of GLY in diverse environmental and agri-food samples.

Citer ce document

Aghoutane, Y., Burhan, H., Şen, F., Bouchikhi, B., & Bari, N. E. (2024). Glyphosate detection via a nanomaterial-enhanced electrochemical molecularly imprinted polymer sensor. Journal of Analytical Science & Technology. https://doi.org/10.1186/s40543-024-00417-5

Exporter : BibTeX · RIS (Zotero, Mendeley, EndNote)

Accès au document

Texte intégral en lecture en ligne, réservé aux abonnés SPHAERO et aux membres de l'institution. Se connecter

Voir l'article sur le site de la revue

Licence et provenance

Licence : CC BY

Notice moissonnée depuis OpenAlex le 27/09/2026. Le document reste hébergé par sa source.
Voir le document à la source →

Statistiques

Consultations : 1

Téléchargements : 0