A novel SERS selective detection sensor for trace trinitrotoluene based on meisenheimer complex of monoethanolamine molecule
Lin, Dongyue3,4,5; Dong, Ronglu4,5; Li, Pan5; Li, Shaofei5; Ge, Meihong4,5; Zhang, Yunfeng2; Yang, Liangbao3,5; Xu, Weiping1
刊名TALANTA
2020-10-01
卷号218
关键词Surface enhanced Raman scattering Monoethanolamine Trinitrotoluene Meisenheimer complex Sensor
ISSN号0039-9140
DOI10.1016/j.talanta.2020.121157
通讯作者Zhang, Yunfeng(yunfeng_2002@sohu.com) ; Yang, Liangbao(lbyang@iim.ac.cn)
英文摘要

Trinitrotoluene (TNT) is a primary component in chemical explosives, making them a common focus in public safety detection. However, it is very difficult to achieve selective and sensitive detection of the TNT molecule in practical application. In the present study, a simple surface enhanced Raman scattering (SERS) sensing based on monoethanolamine (MEA) - modified gold nanoparticles (Au NPs) was expanded for high selectivity and sensitive detecting of TNT in an envelope, luggage, lake water, and clothing through a quickly sampling and detection process. The monoethanolamine molecule based on Meisenheimer complex lights up ultra-high Raman scattering of a nonresonant molecule on the superficial coat of gold nanoparticles. Using this detection sensor, a molecular bridge can be established to selectively detect trinitrotoluene with a detection limit of 21.47 pM. We were able to rapidly identification trinitrotoluene molecule with a powerful selective over the familiar interfering substances nitrophenol, picric acid, 2,4-dinitrophenol, and 2,4-dinitrotoluene. The outcome in this work supply an efficient solution to the test of trinitrotoluene and to establishing a SERS sensor analytical strategy. The studies have demonstrated that the MEA-Au NPs based SERS sensing can be potentially used in field detection the trace amount of chemical explosives for public security.

资助项目National Science Foundation of China[61605221] ; National Science Foundation of China[21974142] ; Sci-tech Police Project of Anhui Province[201904d07020009] ; Sci-tech Police Project of Anhui Province[1804d08020308] ; National Major Scientific and Technological Special Project for Significant New Drugs Development[2018ZX09J18112] ; Key Research and Development Program of Anhui Province (China)[1804h08020252]
WOS关键词ENHANCED RAMAN-SCATTERING ; ULTRASENSITIVE DETECTION ; LEVEL DETECTION ; SENSITIVE DETECTION ; EXPLOSIVE DETECTION ; AG NANOPARTICLES ; VISUAL DETECTION ; RAPID DETECTION ; QUANTUM DOTS ; HOT-SPOTS
WOS研究方向Chemistry
语种英语
出版者ELSEVIER
WOS记录号WOS:000564732500014
资助机构National Science Foundation of China ; Sci-tech Police Project of Anhui Province ; National Major Scientific and Technological Special Project for Significant New Drugs Development ; Key Research and Development Program of Anhui Province (China)
内容类型期刊论文
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/70367]  
专题中国科学院合肥物质科学研究院
通讯作者Zhang, Yunfeng; Yang, Liangbao
作者单位1.Univ Sci & Technol China, Affiliated Hosp USTC 1, Div Life Sci & Med, Hefei 230001, Peoples R China
2.Minist Publ Secur, Inst Forens Sci, Beijing 100038, Peoples R China
3.Chinese Acad Sci, Hefei Canc Hosp, Dept Pharm, Hefei 230031, Peoples R China
4.Univ Sci & Technol China, Dept Mat Sci & Engn, Hefei 230026, Peoples R China
5.Chinese Acad Sci, Ctr Med Phys & Technol, Hefei Inst Phys Sci, Anhui Prov Key Lab Med Phys & Technol, Hefei 230031, Peoples R China
推荐引用方式
GB/T 7714
Lin, Dongyue,Dong, Ronglu,Li, Pan,et al. A novel SERS selective detection sensor for trace trinitrotoluene based on meisenheimer complex of monoethanolamine molecule[J]. TALANTA,2020,218.
APA Lin, Dongyue.,Dong, Ronglu.,Li, Pan.,Li, Shaofei.,Ge, Meihong.,...&Xu, Weiping.(2020).A novel SERS selective detection sensor for trace trinitrotoluene based on meisenheimer complex of monoethanolamine molecule.TALANTA,218.
MLA Lin, Dongyue,et al."A novel SERS selective detection sensor for trace trinitrotoluene based on meisenheimer complex of monoethanolamine molecule".TALANTA 218(2020).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。


©版权所有 ©2017 CSpace - Powered by CSpace