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Surface-Enhanced Raman Spectroscopy Using a Silver Nanostar Substrate for Neonicotinoid Pesticides Detection.
Abu Bakar, Norhayati; Fronzi, Marco; Shapter, Joseph George.
Afiliación
  • Abu Bakar N; Australian Institute for Bioengineering and Nanotechnology, University of Queensland, St. Lucia, Brisbane, QLD 4072, Australia.
  • Fronzi M; Institute of Microengineering and Nanoelectronic, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor 43600, Malaysia.
  • Shapter JG; School of Chemical and Biomedical Engineering, University of Melbourne, Parkville, VIC 3010, Australia.
Sensors (Basel) ; 24(2)2024 Jan 08.
Article en En | MEDLINE | ID: mdl-38257464
ABSTRACT
Surface-enhanced Raman spectroscopy (SERS) has been introduced to detect pesticides at low concentrations and in complex matrices to help developing countries monitor pesticides to keep their concentrations at safe levels in food and the environment. SERS is a surface-sensitive technique that enhances the Raman signal of molecules absorbed on metal nanostructure surfaces and provides vibrational information for sample identification and quantitation. In this work, we report the use of silver nanostars (AgNs) as SERS-active elements to detect four neonicotinoid pesticides (thiacloprid, imidacloprid, thiamethoxam and nitenpyram). The SERS substrates were prepared with multiple depositions of the nanostars using a self-assembly approach to give a dense coverage of the AgNs on a glass surface, which ultimately increased the availability of the spikes needed for SERS activity. The SERS substrates developed in this work show very high sensitivity and excellent reproducibility. Our research opens an avenue for the development of portable, field-based pesticide sensors, which will be critical for the effective monitoring of these important but potentially dangerous chemicals.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Año: 2024 Tipo del documento: Article