Citation: Guorui Wu, Wenshuai Li, Weijun Du, Aiqin Yue, Jinzhong Zhao, Dingbin Liu. In-situ monitoring of nitrile-bearing pesticide residues by background-free surface-enhanced Raman spectroscopy[J]. Chinese Chemical Letters, ;2022, 33(1): 519-522. doi: 10.1016/j.cclet.2021.06.051 shu

In-situ monitoring of nitrile-bearing pesticide residues by background-free surface-enhanced Raman spectroscopy

Guorui Wu ^{a, c} ,
Wenshuai Li ^c ,
Weijun Du ^a ,
Aiqin Yue ^{a, *,} ,
Jinzhong Zhao ^b ,
Dingbin Liu ^{c, *,}

a.
College of Agronomy, Shanxi Agricultural University, Taigu 030801, China
b.
College of Arts and Sciences, Shanxi Agricultural University, Taigu 030801, China
c.
State Key Laboratory of Medicinal Chemical Biology, Research Center for Analytical Sciences, and Tianjin Key Laboratory of Biosensing and Molecular Recognition, College of Chemistry, Nankai University, Tianjin 300071, China

yueaiqinnd@126.com

liudb@nankai.edu.cn

Received Date: 29 April 2021
Revised Date: 17 May 2021
Accepted Date: 17 June 2021
Available Online: 24 June 2021

Figures(3)

In-situ monitoring of pesticide residues during crop growth or/and in related products is of great significance in avoiding the abuse of pesticides but remains challenging thus far. In this report, we proposed a background-free surface-enhanced Raman spectroscopy (bf-SERS) platform to non-destructively track the nitrile-bearing pesticide residues in soybean leaves with high sensitivity and selectivity. The outstanding feature of the assay stems from the dramatic Raman enhancement effect of the 50 nm-sized gold nanoparticles (AuNPs) towards the pesticides and simultaneously the background-free Raman signal of the nitrile group in the so-called Raman-silent region (1800–2800 cm^‒1). This bf-SERS assay was applied to evaluate the penetration effects of nitrile-bearing pesticides and monitor their residues in soybean leaves after rinsing with various solutions, providing a reliable tool for guiding the safe use of nitrile-bearing pesticides in agriculture.
- Nitrile-bearing pesticide residues,
- Background-free SERS,
- In-situ detection,
- Chemical sensing,
- Food safety
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