|
|
|
|
|
|
| Spectral Characteristics at Mid-Infrared Wavelength Regime of Gold Micro-Nano Arrays Surface Plasmons |
| SI Ji-zong1, LIU Yan-hong2, SUN Cheng1,3* |
1. College of Physical Science and Technology, Dalian University, Dalian 116622, China
2. College of Tourism, Dalian University, Dalian 116622, China
3. Liaoning Engineering Laboratory of Optoelectronic Information Technology, Dalian 116622, China |
|
|
|
|
Abstract Surface plasmons are collective oscillations of surface electrons in metal, as well as the related electro-magnetic fields, which are induced by incident lights. So far, the spectral characteristics of the surface plasmons of gold micro-nano particles have been widely studied and applied, at the visible light regime. In addition, the spectral properties in the mid-infrared wavelength region have also drawn great attention in the community, due to its great potential in the research of good-quality sensors. So far, to systematically adjust the paramters including the resonance wavelength, the maximum absorptance and the full width at half maximum intensity, etc. in the design of the surface plasmon-based photoelectric sensing devices, is still a key issue in the community. Compared with single paticles, array-based structures possess great advantages in tuning the above mentioned parameters due to the characteristics of periodicity. Therefore, in this work, an array structure based on gold micro-nano particles is proposed. With the finite difference time domain method, the reflectance spectrum, transmittance spectrum and absorptance spectrum in a wavelength range of 4～18 μm are systematically studied, by varying the structural parameters of the gold array including the particle radius, the particle height, the particle separation, and the particle shape. The results in this work reveal a resonance characteristics within the wavelength range of 8~10 μm that occurs when the incident light resonates with the induced surface plasmons of the gold micro-nano array. The results also indicate that the resonance wavelength, the absorptance peak intensity and the full width at half maximum intensity of the resonance spectrum can effectively be adjusted by tuning the structural parameters of the gold array. Based on the spectral characteristics demonstrated in this work, the proposed gold micro-nano array structure may be utilized in the future design of photoelectric sensors at the mid-infrared wavelength regime.
|
|
Received: 2017-12-07
Accepted: 2018-04-18
|
|
|
|
Corresponding Authors:
SUN Cheng
E-mail: suncheng@dlu.edu.cn
|
|
[1] Savage K J, Hawkeye M M, Esteban R, et al. Nature, 2012, 491(7425): 574.
[2] Chen J N, Badioli M, Alonso-González P, et al. Nature, 2012, 487(7405): 77.
[3] NONG Jin-peng, WEI Wei, ZHU Yong, et al(农金鹏, 韦 玮, 朱 永, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2017, 37(4): 997.
[4] Basch A, Beck F J, Soderstrom T, et al. Applied Physics Letters, 2012, 100(24): 243903.
[5] Ouyang Z, Zhao X, Varlamov S, et al. Progress in Photovoltaics Research & Applications, 2011, 19(8): 917.
[6] Pillai S, Beck F J, Catchpole K R, et al. Journal of Applied Physics, 2011, 109(7): 205.
[7] Madzharov D, Dewan R, Knipp D. Optics Express, 2011, 19 Suppl 2(6): A95.
[8] Sun C, Su J, Wang X. Plasmonics, 2015, 10(3): 633.
[9] Sun C, Wang X Q. Plasmonics, 2015, 10(6): 1307.
[10] Sun C, Wang Z, Wang X, et al. Plasmonics, 2016, 11(4): 1003.
[11] Wang Z, Sun C, Wang X. Plasmonics, 2016, 12(3): 589.
[12] Li H J, Wang L L, Huang Z R, et al. Plasmonics, 2015, 10(1): 39.
[13] Kusa F, Ashihara S. Journal of Applied Physics, 2014, 116: 153103.
[14] FDTD Solutions. www.lumerical.com. |
| [1] |
YANG Cheng-en1, 2, LI Meng3, LU Qiu-yu2, WANG Jin-ling4, LI Yu-ting2*, SU Ling1*. Fast Prediction of Flavone and Polysaccharide Contents in
Aronia Melanocarpa by FTIR and ELM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 62-68. |
| [2] |
DUAN Ming-xuan1, LI Shi-chun1, 2*, LIU Jia-hui1, WANG Yi1, XIN Wen-hui1, 2, HUA Deng-xin1, 2*, GAO Fei1, 2. Detection of Benzene Concentration by Mid-Infrared Differential
Absorption Lidar[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3351-3359. |
| [3] |
LIU Bo-yang1, GAO An-ping1*, YANG Jian1, GAO Yong-liang1, BAI Peng1, Teri-gele1, MA Li-jun1, ZHAO San-jun1, LI Xue-jing1, ZHANG Hui-ping1, KANG Jun-wei1, LI Hui1, WANG Hui1, YANG Si2, LI Chen-xi2, LIU Rong2. Research on Non-Targeted Abnormal Milk Identification Method Based on Mid-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3009-3014. |
| [4] |
MU Da1, 2, WANG Qi-shu1, 2*, CUI Zong-yu1, 2, REN Jiao-jiao1, 2, ZHANG Dan-dan1, 2, LI Li-juan1, 2, XIN Yin-jie1, 2, ZHOU Tong-yu3. Study on Interference Phenomenon in Terahertz Time Domain
Spectroscopy Nondestructive Testing of Glass Fiber Composites[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3031-3040. |
| [5] |
WANG Chun-hui1, 2, YANG Na-na2, 3, FANG Bo2, WEI Na-na2, ZHAO Wei-xiong2*, ZHANG Wei-jun1, 2. Frequency Locking Technology of Mid-Infrared Quantum Cascade Laser Based on Molecule Absorption[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2363-2368. |
| [6] |
GUAN Jian-fei, CHEN Tao. High Sensitivity Nanosensor Based on Fano Resonance in a
Metal-Dielectric-Metal Waveguide Coupled With a
Split-Ring Cavity[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1746-1751. |
| [7] |
SHEN Feng-jiao1, 3, TAN Tu2*, LU Jun1, ZHANG Sheng1, GAO Xiao-ming2, CHEN Wei-dong3. Research on Middle Infrared Laser Heterodyne Remote Sensing
Technology Based on EC-QCL[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1739-1745. |
| [8] |
LU Yan-hua, XU Min-min, YAO Jian-lin*. Preparation and Photoelectrocatalytic Properties Study of TiO2-Ag
Nanocomposites[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1112-1116. |
| [9] |
LIU Si-qi1, FENG Guo-hong1*, TANG Jie2, REN Jia-qi1. Research on Identification of Wood Species by Mid-Infrared Spectroscopy Based on CA-SDP-DenseNet[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 814-822. |
| [10] |
YANG Cheng-en1, SU Ling2, FENG Wei-zhi1, ZHOU Jian-yu1, WU Hai-wei1*, YUAN Yue-ming1, WANG Qi2*. Identification of Pleurotus Ostreatus From Different Producing Areas Based on Mid-Infrared Spectroscopy and Machine Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 577-582. |
| [11] |
LI Xiao1, CHEN Yong2, MEI Wu-jun3*, WU Xiao-hong2*, FENG Ya-jie1, WU Bin4. Classification of Tea Varieties Using Fuzzy Covariance Learning
Vector Quantization[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 638-643. |
| [12] |
FENG Hai-zhi1, LI Long1*, WANG Dong2, ZHANG Kai1, FENG Miao1, SONG Hai-jiang1, LI Rong1, HAN Ping2. Progress of the Application of MIR and NIR Spectroscopies in Quality
Testing of Minor Coarse Cereals[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 16-24. |
| [13] |
BAI Zi-jin1, PENG Jie1*, LUO De-fang1, CAI Hai-hui1, JI Wen-jun2, SHI Zhou3, LIU Wei-yang1, YIN Cai-yun1. A Mid-Infrared Spectral Inversion Model for Total Nitrogen Content of Farmland Soil in Southern Xinjiang[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2768-2773. |
| [14] |
SUN Nan, TAN Hong-lin*, ZHANG Zheng-dong, REN Xiang, ZHOU Yan, LIU Jian-qi, CAI Xiao-ming, CAI Jin-ming. Raman Spectroscopy Analysis and Formation Mechanism of Carbon
Nanotubes Doped Polyacrylonitrile/Copper Cyclized to Graphite
at Room Temperature[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2983-2988. |
| [15] |
YANG Cheng-en1, WU Hai-wei1*, YANG Yu2, SU Ling2, YUAN Yue-ming1, LIU Hao1, ZHANG Ai-wu3, SONG Zi-yang3. A Model for the Identification of Counterfeited and Adulterated Sika Deer Antler Cap Powder Based on Mid-Infrared Spectroscopy and Support
Vector Machines[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2359-2365. |
|
|
|
|
