Abstract

Pesticides are a safety issue globally and cause serious concerns for the environment, wildlife and human health. The handheld detection of four pesticide residues widely used in Basmati rice production using surface-enhanced Raman spectroscopy (SERS) is reported. Different SERS substrates were synthesised and their plasmonic and Raman scattering properties evaluated. Using this approach, detection limits for pesticide residues were achieved within the range of 5 ppb-75 ppb, in solvent. Various extraction techniques were assessed to recover pesticide residues from spiked Basmati rice. Quick, Easy, Cheap, Effective, Rugged and Safe (QuEChERs) acetate extraction was applied and characteristic spectral data for each pesticide was obtained from the spiked matrix and analysed using handheld-SERS. This approach allowed detection limits within the matrix conditions to be markedly improved, due to the rapid aggregation of nanogold caused by the extraction medium. Thus, detection limits for three out of four pesticides were detectable below the Maximum Residue Limits (MRLs) of 10 ppb in Basmati rice. Furthermore, the multiplexing performance of handheld-SERS was assessed in solvent and matrix conditions. This study highlights the great potential of handheld-SERS for the rapid on-site detection of pesticide residues in rice and other commodities.

Details

Title
Handheld SERS coupled with QuEChERs for the sensitive analysis of multiple pesticides in basmati rice
Author
Logan, Natasha 1   VIAFID ORCID Logo  ; Haughey, Simon A 1 ; Liu, Lin 1 ; Thorburn, Burns D 1 ; Quinn, Brian 1 ; Cao Cuong 2 ; Elliott, Christopher T 1 

 Queen’s University Belfast, ASSET Technology Centre, Institute for Global Food Security, School of Biological Sciences, Belfast, UK (GRID:grid.4777.3) (ISNI:0000 0004 0374 7521) 
 Queen’s University Belfast, ASSET Technology Centre, Institute for Global Food Security, School of Biological Sciences, Belfast, UK (GRID:grid.4777.3) (ISNI:0000 0004 0374 7521); Queen’s University Belfast, Material and Advanced Technologies for Healthcare, Belfast, UK (GRID:grid.4777.3) (ISNI:0000 0004 0374 7521) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
23968370
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2619337705
Copyright
© Crown 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.