|
|
|
|
|
|
| Connection of Absorption and Raman Enhancement Characteristics of Different Types of Ag Nanoparticles |
| ZHANG Can, ZHANG Jie*, DOU Xin-yi, ZHU Yong |
| The Key Laboratory of Optoelectronic Technology & System, Ministry of Education, Chongqing 400044, China |
|
|
|
|
Abstract When we use nano-structured materials for surface-enhanced Raman scattering (SERS), we will first test the absorption spectrum because original researchers believe that the reason why nano-structured materials generate SERS is that the absorption of incident light by nano-structured materials causes the localized surface plasmon resonance (LSPR), so we equate the curve of SERS enhancement factor with wavelength to the absorption spectrum curve. In recent years, some scholars believe that the connection between them can be very indirect and can be misleading in many cases. AgNPs are famous for their ability to significantly improve Raman scattering due to their local surface plasmon resonance, so AgNPs are the ideal nanomaterial for the substrate. In order to clarify the specific relationship, we studied the enhancement factor (EF) of surface-enhanced Raman scattering, absorption spectra and spatial electric field distribution of silver nanoparticles (AgNPs) in three different states, experimentally and theoretically. Experimentally, we prepared Ag-sol by chemical reduction method. They were characterized by a transmission electron microscope (TEM), ultraviolet-visible spectrophotometer (UV-Vis) and Raman’s measurements and statistics and calculations of the EF and absorption spectra of silver sols were carried on. Theoretically, we used the simulation software COMSOL Multiphysics to establish different aggregation types of AgNPs models, and simulated the EF curve with wavelength and absorption spectra corresponding to the experiments. The results show that the spatial distribution of surface plasmon resonance plays an important role in absorption and maximum EF value. The resonance absorption peak with a fixed position(first peak position) is mainly affected by the “single particle type” effect, and the absorption peak at the maximum EF (the second peak position) is dominated by the blue-shifted resonance peak caused by the “coupling gap type” effect, the maximum EF value and the position of the second absorption peak will be influenced by the particle gap, polarization angle and other factors. Studies have shown that the absorption spectrum of the AgNps sample is partially related to the maximum EF curve.
|
|
Received: 2020-05-19
Accepted: 2020-08-30
|
|
|
|
Corresponding Authors:
ZHANG Jie
E-mail: zhangjie@cqu.edu.cn
|
|
[1] Kneipp K, Wang Y, Kneipp H, et al. Physical Review Letters, 1997, 78(9): 1667.
[2] Kneipp K, Kneipp H. Applied Spectroscopy, 2006, 60(12): 322.
[3] Gong T, Zhang J, Zhu Y, et al. Carbon, 2016, 102: 245.
[4] Tian Z Q, Ren B, Li J F, et al. Chemical Communications, 2007, 34: 3514.
[5] Ye J, Hutchison J A, Uji-I H, et al. Nanoscale, 2012, 4(5): 1606.
[6] Gong T, Zhu Y, Zhang J, et al. Carbon, 2015, 87: 385.
[7] Camargo P H C, Rycenga M, Au L, et al. Angewandte Chemie International Edition, 2009, 48: 2180.
[8] Niu W, Chua Y A A, Zhang W, et al. Journal of the American Chemical Society, 2015, 137(33): 10460.
[9] Li W, Camargo P H C, Lu X, et al. Nano Letters, 2009, 9(1): 485.
[10] Liu K, Bai Y, Zhang L, et al. Nano Letters, 2016, 16: 3675.
[11] Mohamad G, Banaee, Kenneth B. Crozier. Optics Letters, 2010, 35(5): 760.
[12] Shegai T, Brian B, Miljković V D, et al. ACS Nano, 2011, 5(3): 2036.
[13] Lai H, Ma G, Shang W, et al. Chemosphere, 2019, 223: 465.
[14] Mcfarland A D, Young M A, Dieringer J A, et al. The Journal of Physical Chemistry B, 2005, 109(22): 11279.
[15] Le Ru E C, Galloway C, Etchegoin P G. Physical Chemistry Chemical Physics, 2006, 8(26): 3083. |
| [1] |
ZHOU Cai-hua, DING Xiao. DFT Calculation of Absorption Spectra for Planar Porphyrin Derivatives[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1769-1773. |
| [2] |
MA Ping1, 2, Andy Hsitien Shen1*, ZHONG Yuan1, LUO Heng1. Study on UV-Vis Absorption Spectra of Jadeite From Different Origins[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1827-1831. |
| [3] |
JIANG Ya-jing, SONG Jun-ling*, RAO Wei, WANG Kai, LOU Deng-cheng, GUO Jian-yu. Rapid Measurement of Integrated Absorbance of Flow Field Using Extreme Learning Machine[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1346-1352. |
| [4] |
LÜ Yang, PEI Jing-cheng*, GAO Ya-ting, CHEN Bo-yu. Chemical Constituents and Spectra Characterization of Gem-Grade
Triplite[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1204-1208. |
| [5] |
DU Bao-lu, LI Meng, GUO Jin-jia*, ZHANG Zhi-hao, YE Wang-quan, ZHENG Rong-er. The Experimental Research on In-Situ Detection for Dissolved CO2 in
Seawater Based on Tunable Diode Laser Absorption Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1264-1269. |
| [6] |
SU Jing-ming1, 2, 3, ZHAO Min-jie1, ZHOU Hai-jin1, YANG Dong-shang1, 2, HONG Yan3, SI Fu-qi1*. On-Orbit Degradation Monitoring of Environmental Trace Gases Monitoring Instrument Based on Level 0 Data[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(03): 686-691. |
| [7] |
WANG Zi-xiong, XU Da-peng*, ZHANG Yi-fan, LI Jia-jia. Research Progress of Surface-Enhanced Raman Scattering Detection Analyte Molecules[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 341-349. |
| [8] |
WAN Xiao-ming1, 2, ZENG Wei-bin1, 2, LEI Mei1, 2, CHEN Tong-bin1, 2. Micro-Distribution of Elements and Speciation of Arsenic in the Sporangium of Pteris Vittata[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 470-477. |
| [9] |
XI Liang1,2, SI Fu-qi1*, JIANG Yu1, ZHOU Hai-jin1, QIU Xiao-han1, CHANG Zhen1. Ground-Based IDOAS De-Striping by Weighted Unidirectional Variation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 627-633. |
| [10] |
WAN Xiao-ming1, 2, ZENG Wei-bin1, 2, LEI Mei1, 2, CHEN Tong-bin1, 2. Micro-Distribution of Elements and Speciation of Arsenic in the Sporangium of Pteris Vittata[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 478-482. |
| [11] |
WANG Zhao-hui1, ZHAO Yan1, 3, 4*, FENG Chao2. Multi-Wavelength Random Lasing Form Doped Polymer Film With Embedded Multi-Shaped Silver Nanoparticle[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(01): 38-42. |
| [12] |
LIU Guo-hua, LI Qi-hua*, OU Jin-ping, XU Heng, ZHU Peng-cheng, LIU Hao-ran. Passive Spectrum Measurement of HCHO in Chongqing Area Based on MAX-DOAS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(01): 243-247. |
| [13] |
ZHONG Yuan, QU Meng-wen, Andy Hsitien Shen*. Comparison of Chemical Composition and Spectroscopy of Purple- Brownish Red Garnet From Zambia, Tanzania and Australia[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(01): 184-190. |
| [14] |
JIANG Cheng1, TANG Gui-qian2*, LI Qi-hua1*, LIU Bao-xian3, WANG Meng2, WANG Yue-si2. Vertical Profile of Aerosol in Spring in Beijing Based on Multi-Axis Differential Optical Absorption Spectroscopy Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(01): 265-271. |
| [15] |
HUANG Hui1, 2, TIAN Yi2, ZHANG Meng-die1, 2, XU Tao-ran2, MU Da1*, CHEN Pei-pei2, 3*, CHU Wei-guo2, 3*. Design and Batchable Fabrication of High Performance 3D Nanostructure SERS Chips and Their Applications to Trace Mercury Ions Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(12): 3782-3790. |
|
|
|
|
