Optimal Hotspots of Dynamic Surfaced-Enhanced Raman Spectroscopy for Drugs Quantitative Detection

doi:10.1021/acs.analchem.6b04688

CORC > 合肥物质科学研究院 > 中国科学院合肥物质科学研究院 > 中科院合肥智能机械研究所

	Optimal Hotspots of Dynamic Surfaced-Enhanced Raman Spectroscopy for Drugs Quantitative Detection
	Yan, Xiunan 1,2; Li, Pan 1; Zhou, Binbin 1,2; Tang, Xianghu 1,2; Li, Xiaoyun 3; Weng, Shizhuang 1; Yang, Liangbao 1; Liu, Jinhuai 1
刊名	ANALYTICAL CHEMISTRY
	2017-05-02
卷号	89 期号:9 页码:4875-4881
DOI	10.1021/acs.analchem.6b04688
文献子类	Article
英文摘要	Surface-enhanced Raman spectroscopy (SERS) as a powerful qualitative analysis method has been widely applied in many fields. However, SERS for quantitative analysis still suffers from several challenges partially because of the absence of stable and credible analytical strategy. Here, we demonstrate that the optimal hotspots created from dynamic surfaced-enhanced Raman spectroscopy (D-SERS) can be used for quantitative SERS measurements. In situ small-angle X-ray scattering was carried out to in situ real-time monitor the formation of the optimal hotspots, where the optimal hotspots with the most efficient hotspots were generated during the monodisperse Au-sol evaporating process. Importantly, the natural evaporation of Au-sol avoids the nanoparticles instability of salt-induced, and formation of ordered three-dimensional hotspots allows SERS detection with excellent reproducibility. Considering SERS signal variability in the D-SERS process, 4-mercaptopyridine (4-mpy) acted as internal standard to validly correct and improve stability as well as reduce fluctuation of signals. The strongest SERS spectra at the optimal hotspots of D-SERS have been extracted to statistics analysis. By using the SERS signal of 4-mpy as a stable internal calibration standard, the relative SERS intensity of target molecules demonstrated a linear response versus the negative logarithm of concentrations at the point of strongest SERS signals, which illustrates the great potential for quantitative analysis. The public drugs 3,4-methylenedioxymethamphetamine and alpha-methyltryptamine hydrochloride obtained precise analysis with internal standard D-SERS strategy. As a consequence, one has reason to believe our approach is promising to challenge quantitative problems in conventional SERS analysis.
WOS关键词	PROTECTED GOLD CLUSTERS ; X-RAY-SCATTERING ; HUMAN URINE ; SENSITIVE DETECTION ; INTERNAL STANDARD ; SERS ; ARRAYS ; IDENTIFICATION ; NANOPARTICLES ; DEPOSITION
WOS研究方向	Chemistry
语种	英语
WOS记录号	WOS:000400723600019
资助机构	National Science Foundation of China(21571180 ; National Science Foundation of China(21571180 ; National Science Foundation of China(21571180 ; National Science Foundation of China(21571180 ; National Science Foundation of China(21571180 ; National Science Foundation of China(21571180 ; National Science Foundation of China(21571180 ; National Science Foundation of China(21571180 ; Special Financial Grant from the China Postdoctoral Science Foundation(2016T90590) ; Special Financial Grant from the China Postdoctoral Science Foundation(2016T90590) ; Special Financial Grant from the China Postdoctoral Science Foundation(2016T90590) ; Special Financial Grant from the China Postdoctoral Science Foundation(2016T90590) ; Special Financial Grant from the China Postdoctoral Science Foundation(2016T90590) ; Special Financial Grant from the China Postdoctoral Science Foundation(2016T90590) ; Special Financial Grant from the China Postdoctoral Science Foundation(2016T90590) ; Special Financial Grant from the China Postdoctoral Science Foundation(2016T90590) ; China Postdoctoral Science Foundation(2015M571950) ; China Postdoctoral Science Foundation(2015M571950) ; China Postdoctoral Science Foundation(2015M571950) ; China Postdoctoral Science Foundation(2015M571950) ; China Postdoctoral Science Foundation(2015M571950) ; China Postdoctoral Science Foundation(2015M571950) ; China Postdoctoral Science Foundation(2015M571950) ; China Postdoctoral Science Foundation(2015M571950) ; Anhui Natural Science Foundation(1508085MB26) ; Anhui Natural Science Foundation(1508085MB26) ; Anhui Natural Science Foundation(1508085MB26) ; Anhui Natural Science Foundation(1508085MB26) ; Anhui Natural Science Foundation(1508085MB26) ; Anhui Natural Science Foundation(1508085MB26) ; Anhui Natural Science Foundation(1508085MB26) ; Anhui Natural Science Foundation(1508085MB26) ; Open Project of State Key Laboratory of Physical Chemistry(201405) ; Open Project of State Key Laboratory of Physical Chemistry(201405) ; Open Project of State Key Laboratory of Physical Chemistry(201405) ; Open Project of State Key Laboratory of Physical Chemistry(201405) ; Open Project of State Key Laboratory of Physical Chemistry(201405) ; Open Project of State Key Laboratory of Physical Chemistry(201405) ; Open Project of State Key Laboratory of Physical Chemistry(201405) ; Open Project of State Key Laboratory of Physical Chemistry(201405) ; 21505138) ; 21505138) ; 21505138) ; 21505138) ; 21505138) ; 21505138) ; 21505138) ; 21505138) ; National Science Foundation of China(21571180 ; National Science Foundation of China(21571180 ; National Science Foundation of China(21571180 ; National Science Foundation of China(21571180 ; National Science Foundation of China(21571180 ; National Science Foundation of China(21571180 ; National Science Foundation of China(21571180 ; National Science Foundation of China(21571180 ; Special Financial Grant from the China Postdoctoral Science Foundation(2016T90590) ; Special Financial Grant from the China Postdoctoral Science Foundation(2016T90590) ; Special Financial Grant from the China Postdoctoral Science Foundation(2016T90590) ; Special Financial Grant from the China Postdoctoral Science Foundation(2016T90590) ; Special Financial Grant from the China Postdoctoral Science Foundation(2016T90590) ; Special Financial Grant from the China Postdoctoral Science Foundation(2016T90590) ; Special Financial Grant from the China Postdoctoral Science Foundation(2016T90590) ; Special Financial Grant from the China Postdoctoral Science Foundation(2016T90590) ; China Postdoctoral Science Foundation(2015M571950) ; China Postdoctoral Science Foundation(2015M571950) ; China Postdoctoral Science Foundation(2015M571950) ; China Postdoctoral Science Foundation(2015M571950) ; China Postdoctoral Science Foundation(2015M571950) ; China Postdoctoral Science Foundation(2015M571950) ; China Postdoctoral Science Foundation(2015M571950) ; China Postdoctoral Science Foundation(2015M571950) ; Anhui Natural Science Foundation(1508085MB26) ; Anhui Natural Science Foundation(1508085MB26) ; Anhui Natural Science Foundation(1508085MB26) ; Anhui Natural Science Foundation(1508085MB26) ; Anhui Natural Science Foundation(1508085MB26) ; Anhui Natural Science Foundation(1508085MB26) ; Anhui Natural Science Foundation(1508085MB26) ; Anhui Natural Science Foundation(1508085MB26) ; Open Project of State Key Laboratory of Physical Chemistry(201405) ; Open Project of State Key Laboratory of Physical Chemistry(201405) ; Open Project of State Key Laboratory of Physical Chemistry(201405) ; Open Project of State Key Laboratory of Physical Chemistry(201405) ; Open Project of State Key Laboratory of Physical Chemistry(201405) ; Open Project of State Key Laboratory of Physical Chemistry(201405) ; Open Project of State Key Laboratory of Physical Chemistry(201405) ; Open Project of State Key Laboratory of Physical Chemistry(201405) ; 21505138) ; 21505138) ; 21505138) ; 21505138) ; 21505138) ; 21505138) ; 21505138) ; 21505138)
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/33495]
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, Hefei Inst Phys Sci, Inst Intelligent Machines, Hefei 230031, Peoples R China 2.Univ Sci & Technol China, Dept Chem, Hefei 230026, Peoples R China 3.Chinese Acad Sci, Shanghai Inst Appl Phys, Shanghai Synchrotron Radiat Facil, Shanghai 201204, Peoples R China
推荐引用方式 GB/T 7714	Yan, Xiunan,Li, Pan,Zhou, Binbin,et al. Optimal Hotspots of Dynamic Surfaced-Enhanced Raman Spectroscopy for Drugs Quantitative Detection[J]. ANALYTICAL CHEMISTRY,2017,89(9):4875-4881.
APA	Yan, Xiunan.,Li, Pan.,Zhou, Binbin.,Tang, Xianghu.,Li, Xiaoyun.,...&Liu, Jinhuai.(2017).Optimal Hotspots of Dynamic Surfaced-Enhanced Raman Spectroscopy for Drugs Quantitative Detection.ANALYTICAL CHEMISTRY,89(9),4875-4881.
MLA	Yan, Xiunan,et al."Optimal Hotspots of Dynamic Surfaced-Enhanced Raman Spectroscopy for Drugs Quantitative Detection".ANALYTICAL CHEMISTRY 89.9(2017):4875-4881.