title: A novel paper rag as 'D-SERS' substrate for detection of pesticide residues at various peels.
abstract: Many important considerations in the design of practical Surface enhanced Raman spectroscopy (SERS) substrates are necessary, such as the low cost, simple preparation, mass production and high efficiency of sample collection, which the conventional rigid substrates are lack of. In this work, practical SERS substrates based on deposition of silver nanoparticles (Ag NPs) on commercially available low-cost filter paper were prepared by simple silver mirror reaction in a large scale, and utilized for rapid, portable and accurate identification and detection of pesticide residues at various peels. Compared with conventional substrates, this novel SERS substrate dramatically enhanced the sample collection efficiency by simply swabbing paper-based device across different surfaces without destroying the sample, meanwhile avoiding the substrate signal of real-world samples. Considering their low cost, portability, simplicity and high sample collection efficiency, Ag NP-decorated filter paper, as practical SERS substrate, are used in solving critical problems for detection of pesticide residues at various peels. SERS experiments were carried out on Ag NP-decorated filter paper combined with 'dynamic SERS' (D-SERS) due to its high detection sensitivity. The excellent detection performance of the Ag NP-based filter paper was demonstrated by detection thiram and paraoxon residues at various peels. Besides, the stability and reproducibility of the practical substrates were also involved.
authors: Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui 230031, China; School of Chemistry and Chemical Engineering, Anhui University, Hefei 230039, China.
authors: Yiqun
authors: Y
authors: Zhu
authors: Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui 230031, China.
authors: Minqiang
authors: M
authors: Li
authors: Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui 230031, China. Electronic address: ydy@iim.ac.cn.
authors: Daoyang
authors: D
authors: Yu
authors: Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui 230031, China. Electronic address: lbyang@iim.ac.cn.
authors: Liangbao
authors: L
authors: Yang
mesh_terms: D005374:Filtration / Q000295:instrumentation; D005638:Fruit; D053768:Metal Nanoparticles / Q000737:chemistry / Q000648:ultrastructure; D008855:Microscopy, Electron, Scanning; D008956:Models, Chemical; D015394:Molecular Structure; D010209:Paper; D010261:Paraoxon / Q000032:analysis / Q000737:chemistry; D010573:Pesticide Residues / Q000032:analysis* / Q000737:chemistry; D056951:Photoelectron Spectroscopy; D015203:Reproducibility of Results; D012834:Silver / Q000737:chemistry; D013059:Spectrum Analysis, Raman / Q000379:methods*; D013499:Surface Properties; D013893:Thiram / Q000032:analysis / Q000737:chemistry
chemical_list: D010573:Pesticide Residues; D013893:Thiram; D012834:Silver; D010261:Paraoxon
keywords: Ag NP-based paper; Dynamic-SERS; Pesticide residues; Practical application