A plasmonic AgNP decorated heterostructure substrate for synergetic surface-enhanced Raman scattering identification and quantification of pesticide residues in real samples

doi:10.1039/d2ay01068b

	A plasmonic AgNP decorated heterostructure substrate for synergetic surface-enhanced Raman scattering identification and quantification of pesticide residues in real samples
	Li, Xueting 4; Xu, Chenyue 4; Yan, Lan 4; Feng, Yating 4; Li, Haoyue 4; Ye, Cheng 4; Zhang, Maofeng 4; Jiang, Changlong 2; Li, Jianhua 1; Wu, Yucheng 3
刊名	ANALYTICAL METHODS
	2022-09-01
卷号	14
ISSN号	1759-9660
DOI	10.1039/d2ay01068b
通讯作者	Zhang, Maofeng(mfzhang@hfut.edu.cn) ; Jiang, Changlong(cljiang@iim.ac.cn) ; Wu, Yucheng(ycwu@hfut.edu.cn)
英文摘要	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.
资助项目	National Natural Science Foundation of China[61205150] ; National Natural Science Foundation of China[51873222] ; Key Research and Development Projects of Anhui Province[202004g01020016] ; Key Research and Development Projects of Anhui Province[202104g01020009] ; 111 Project New Materials and Technology for Clean Energy[B18018] ; Natural Science Foundation of Anhui Province[2208085MB35]
WOS关键词	METAL-ORGANIC FRAMEWORKS ; SERS SUBSTRATE
WOS研究方向	Chemistry ; Food Science & Technology ; Spectroscopy
语种	英语
出版者	ROYAL SOC CHEMISTRY
WOS记录号	WOS:000842617400001
资助机构	National Natural Science Foundation of China ; Key Research and Development Projects of Anhui Province ; 111 Project New Materials and Technology for Clean Energy ; Natural Science Foundation of Anhui Province
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/132059]
专题	中国科学院合肥物质科学研究院
通讯作者	Zhang, Maofeng; Jiang, Changlong; Wu, Yucheng
作者单位	1.Anhui Topway Testing Serv Co Ltd, Xuancheng Econ & Technol Dev Zone, 18 Rixin Rd, Xuancheng 242000, Peoples R China 2.Chinese Acad Sci, Inst Solid State Phys, Hefei Inst Phys Sci, Hefei 230031, Anhui, Peoples R China 3.Hefei Univ Technol, Sch Mat Sci & Engn, 193 Tunxi Rd, Hefei 230009, Peoples R China 4.Hefei Univ Technol, Sch Chem & Chem Engn, 193 Tunxi Rd, Hefei 230009, Peoples R China
推荐引用方式 GB/T 7714	Li, Xueting,Xu, Chenyue,Yan, Lan,et al. A plasmonic AgNP decorated heterostructure substrate for synergetic surface-enhanced Raman scattering identification and quantification of pesticide residues in real samples[J]. ANALYTICAL METHODS,2022,14.
APA	Li, Xueting.,Xu, Chenyue.,Yan, Lan.,Feng, Yating.,Li, Haoyue.,...&Wu, Yucheng.(2022).A plasmonic AgNP decorated heterostructure substrate for synergetic surface-enhanced Raman scattering identification and quantification of pesticide residues in real samples.ANALYTICAL METHODS,14.
MLA	Li, Xueting,et al."A plasmonic AgNP decorated heterostructure substrate for synergetic surface-enhanced Raman scattering identification and quantification of pesticide residues in real samples".ANALYTICAL METHODS 14(2022).