A plasmonic AgNP decorated heterostructure substrate for synergetic surface-enhanced Raman scattering identification and quantification of pesticide residues in real samples. Issue 34 (22nd August 2022)

• Record Type: Journal Article
• Authors: Li, Xueting; Xu, Chenyue; Yan, Lan; Feng, Yating; Li, Haoyue; Ye, Cheng; Zhang, Maofeng; Jiang, Changlong; Li, Jianhua; Wu, Yucheng
• Is Part Of: Analytical methods. Volume 14:Issue 34(2022)
• Page Start: 3250
• Page End: 3259
• Publication Date: 2022-08-22
• Subjects: Chemistry, Analytic -- Periodicals; Analytical biochemistry -- Periodicals; Chemical laboratories -- Standards -- Periodicals; 543.1905
• DOI: 10.1039/d2ay01068b
• Languages: English
• ISSNs: 1759-9660

Abstract

Abstract : A schematic illustration of our portable SERS sensor for multiplex identification and quantitative detection in plant leaves. Abstract : Rapid and on-site Raman spectroscopic identification and quantification of pesticide residues have been restricted to the low instrumental sensitivity of a portable Raman instrument, and no ideal platforms have been reported for analyzing pesticides on real sample surfaces. An efficient method to improve the detection sensitivity is to fabricate a highly sensitive surface-enhanced Raman scattering (SERS) substrate. Here, we present a MOF-derived ZnO@TiO2 heterostructure combined with plasmonic AgNPs as a SERS sensor to achieve synergetic EM and CM enhancement, exhibiting high sensitivity, excellent signal reproducibility (RSD < 5.9%) and superior stability for analysis of model molecules. The SERS sensor achieved a low detection concentration of 10 −8 M for both CV and R6G molecular solutions on a portable Raman device. As a proof of concept, we modelled a pesticide residue on real samples of dendrobium leaves. Thiram, triazophos and fonofos solutions were selected as analytes for mimicking the function of on-site analysis. The SERS analytical platform showed not only high sensitivity for single- and multi-component identification, but also quantitative detection of pesticide residues on dendrobium leaves. These preliminary investigations indicate that this SERS analytical platform will allow the development and potential applications in rapid and on-site pesticide analysis.