Selective phosphorescence sensing of pesticide based on the inhibition of silver(I) quenched ZnS:Mn2+ quantum dots | |
Zhang, Cheng1,2; Zhang, Kui1; Zhao, Tingting1; Liu, Bianhua1,2; Wang, Zhenyang1; Zhang, Zhongping1,3 | |
刊名 | SENSORS AND ACTUATORS B-CHEMICAL |
2017-11-01 | |
卷号 | 252页码:1083-1088 |
关键词 | Phosphorescence Mn-doped Zns Quantum Dots Silver(i) Pesticide Fruit Peel |
DOI | 10.1016/j.snb.2017.06.087 |
文献子类 | Article |
英文摘要 | Pesticides abuse has drawn considerable attention in agriculture, environment and food safety in recent years. How to selective and on-site detection of pesticide residues with rapid operation and low cost is still a hot topic. In this work, we report a novel method for the detection of pesticide thiram using phosphorescent Mn-doped ZnS quantum dots (ZnS:Mn2+ QDs) combined by an affinity reaction between thiram and Ag+ ions. On the one hand, the phosphorescence of as-prepared ZnS:Mn2+ QDs at 590 nm can be effectively quenched by Ag+ ions due to the direct cation-exchange reaction at the surface of QDs. On the other hand, the presence of thiram can inhibit phosphorescence quenching through the formation of stable Ag-thiram complex. This inhibition resulted in a linear recovery in emission intensity with increasing the amount of thiram, which enables thiram residues to be identified under the UV light illumination. In buffer condition, thiram could be detected within the concentration range of 50 nM-2.5 mu M with a detection limit of 25 nM. Moreover, the proposed method has been successfully applied to thiram residues identification at fresh fruit peels. The investigation provides a profile for instant and visual detection of surface residues using doped quantum dots. (C) 2017 Elsevier B.V. All rights reserved. |
WOS关键词 | FLUORESCENCE DETECTION ; SERS ; ZNS ; NANOCRYSTALS ; THIRAM ; IONS |
WOS研究方向 | Chemistry ; Electrochemistry ; Instruments & Instrumentation |
语种 | 英语 |
WOS记录号 | WOS:000408277500129 |
资助机构 | National Basic Research Program of China(2015CB932002) ; National Basic Research Program of China(2015CB932002) ; National Basic Research Program of China(2015CB932002) ; National Basic Research Program of China(2015CB932002) ; National Basic Research Program of China(2015CB932002) ; National Basic Research Program of China(2015CB932002) ; National Basic Research Program of China(2015CB932002) ; National Basic Research Program of China(2015CB932002) ; Science and Technology Service Network Initiative of Chinese Academy of China(KFJ-SW-STS-172) ; Science and Technology Service Network Initiative of Chinese Academy of China(KFJ-SW-STS-172) ; Science and Technology Service Network Initiative of Chinese Academy of China(KFJ-SW-STS-172) ; Science and Technology Service Network Initiative of Chinese Academy of China(KFJ-SW-STS-172) ; Science and Technology Service Network Initiative of Chinese Academy of China(KFJ-SW-STS-172) ; Science and Technology Service Network Initiative of Chinese Academy of China(KFJ-SW-STS-172) ; Science and Technology Service Network Initiative of Chinese Academy of China(KFJ-SW-STS-172) ; Science and Technology Service Network Initiative of Chinese Academy of China(KFJ-SW-STS-172) ; National Natural Science Foundation of China(21375131 ; National Natural Science Foundation of China(21375131 ; National Natural Science Foundation of China(21375131 ; National Natural Science Foundation of China(21375131 ; National Natural Science Foundation of China(21375131 ; National Natural Science Foundation of China(21375131 ; National Natural Science Foundation of China(21375131 ; National Natural Science Foundation of China(21375131 ; 21675158 ; 21675158 ; 21675158 ; 21675158 ; 21675158 ; 21675158 ; 21675158 ; 21675158 ; 21605144 ; 21605144 ; 21605144 ; 21605144 ; 21605144 ; 21605144 ; 21605144 ; 21605144 ; 21475135) ; 21475135) ; 21475135) ; 21475135) ; 21475135) ; 21475135) ; 21475135) ; 21475135) ; National Basic Research Program of China(2015CB932002) ; National Basic Research Program of China(2015CB932002) ; National Basic Research Program of China(2015CB932002) ; National Basic Research Program of China(2015CB932002) ; National Basic Research Program of China(2015CB932002) ; National Basic Research Program of China(2015CB932002) ; National Basic Research Program of China(2015CB932002) ; National Basic Research Program of China(2015CB932002) ; Science and Technology Service Network Initiative of Chinese Academy of China(KFJ-SW-STS-172) ; Science and Technology Service Network Initiative of Chinese Academy of China(KFJ-SW-STS-172) ; Science and Technology Service Network Initiative of Chinese Academy of China(KFJ-SW-STS-172) ; Science and Technology Service Network Initiative of Chinese Academy of China(KFJ-SW-STS-172) ; Science and Technology Service Network Initiative of Chinese Academy of China(KFJ-SW-STS-172) ; Science and Technology Service Network Initiative of Chinese Academy of China(KFJ-SW-STS-172) ; Science and Technology Service Network Initiative of Chinese Academy of China(KFJ-SW-STS-172) ; Science and Technology Service Network Initiative of Chinese Academy of China(KFJ-SW-STS-172) ; National Natural Science Foundation of China(21375131 ; National Natural Science Foundation of China(21375131 ; National Natural Science Foundation of China(21375131 ; National Natural Science Foundation of China(21375131 ; National Natural Science Foundation of China(21375131 ; National Natural Science Foundation of China(21375131 ; National Natural Science Foundation of China(21375131 ; National Natural Science Foundation of China(21375131 ; 21675158 ; 21675158 ; 21675158 ; 21675158 ; 21675158 ; 21675158 ; 21675158 ; 21675158 ; 21605144 ; 21605144 ; 21605144 ; 21605144 ; 21605144 ; 21605144 ; 21605144 ; 21605144 ; 21475135) ; 21475135) ; 21475135) ; 21475135) ; 21475135) ; 21475135) ; 21475135) ; 21475135) |
内容类型 | 期刊论文 |
源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/33610] |
专题 | 合肥物质科学研究院_中科院合肥智能机械研究所 |
作者单位 | 1.Chinese Acad Sci, Inst Intelligent Machines, CAS Ctr Excellence Nanosci, Hefei 230031, Anhui, Peoples R China 2.Univ Sci & Technol China, Dept Chem, Hefei 230026, Anhui, Peoples R China 3.Anhui Univ, Sch Chem & Chem Engn, Hefei 230601, Anhui, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Cheng,Zhang, Kui,Zhao, Tingting,et al. Selective phosphorescence sensing of pesticide based on the inhibition of silver(I) quenched ZnS:Mn2+ quantum dots[J]. SENSORS AND ACTUATORS B-CHEMICAL,2017,252:1083-1088. |
APA | Zhang, Cheng,Zhang, Kui,Zhao, Tingting,Liu, Bianhua,Wang, Zhenyang,&Zhang, Zhongping.(2017).Selective phosphorescence sensing of pesticide based on the inhibition of silver(I) quenched ZnS:Mn2+ quantum dots.SENSORS AND ACTUATORS B-CHEMICAL,252,1083-1088. |
MLA | Zhang, Cheng,et al."Selective phosphorescence sensing of pesticide based on the inhibition of silver(I) quenched ZnS:Mn2+ quantum dots".SENSORS AND ACTUATORS B-CHEMICAL 252(2017):1083-1088. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论