|
|
|
|
|
|
CO2 in Air Detected by Right Angle Mirror Cell of Raman |
HUANG Bao-kun1, WANG Jing-zhuo1, SONG Yong-xian1, ZHU Lin1, ZHANG Ming-zhe2, OUYANG Shun-li2*, WU Nan-nan3 |
1. School of Electronic Engineering, Jiangsu Ocean University, Lianyungang 222005,China
2. Key Laboratory of Integrated Exploitation of Bayan Obo Multi-Metal Resources,Inner Mongolia University of Science and Technology,Baotou 014010,China
3. College of Science,Inner Mongolia University of Science and Technology,Baotou 014010,China |
|
|
Abstract As an excitation spectrum, Raman spectroscopy uses laser as an excitation source to excite Raman signals of all gas molecules. Due to the low molecular density, high transmittance of light and low Raman Scattering Cross Section, the utilization efficiency of the eycitation light energy is low, and the Raman signal scatters to space around focus, only fraction of signal can be collected by collecting system. As a result, the detection limit is poor and cannot be widely applied to the detection of gas. In this paper, a Raman right angle reflection cavity was proposed to improve the detection limit of Raman detection of transparent samples such as gases. The Raman right angle reflection cavity used a right angle mirror to reflect incident light back to the original direction but the optical path had a spatial offset. Two parallel to each other, oppositely placed right-angle mirrors were used, and the laser with a beam diameter of 0.7 mm had a working diameter of 25.4 mm. The exciting laser was reflected back and forth 10 times in the cavity, and two lenses were placed in opposite direction around focus which were used to focus the excitation light to the same focus, thereby improving the use efficiency of the exciting laser energy. The Raman scattering signal transmitted along with the direction of incident laser was reflected back by the right-angle mirror to the right about, after being focused by the lens to the focus, with the Raman scattering signal scattered to the laser incident direction all passes through the long-pass filter and collected by Raman spectrometer, thereby improving the collection efficiency of Raman scattering signals. The experiment was carried out with air as the test object. The Raman spectrum of clear carbon dioxide and the fine Raman spectrum of nitrogen and oxygen were obtained within 300 s and the intensity ratio was analyzed, including 2 332 cm-1 of nitrogen and 1 557 cm-1 of oxygen. The peak height ratio of the 1 388 cm-1 Raman peak of carbon dioxide was 785∶257∶1. The Raman right angle reflection cavity added two right-angle mirrors and one focusing mirror compare to the conventional Raman scattering excitation collecting system, and had the characteristics of small volume, simple structure and easy adjustment. The signal intensity distribution of Raman scattering to the surrounding space was related to the incident direction of the incident light, and the maximum of Raman signal accorded with the direction of the incident light and the reverse direction. The Raman right angle reflection cavity was designed to match the Raman signal intensity distribution, and along with the advantages of optical depth of field was utilized to maximize the Raman scattering signal collection efficiency. The Raman right-angle mirror cavity can extend the application of Raman spectroscopy in gas detection, such as in-situ monitoring of gas phase chemical reactions, engine combustion processes and emissions detection, and unknown pollutant gas analysis.
|
Received: 2018-12-30
Accepted: 2019-04-10
|
|
Corresponding Authors:
OUYANG Shun-li
E-mail: ouyangshunli@imust.cn
|
|
[1] Li X Y, Xia Y X, Huang J M, et al. Applied Physics B, 2008, 93: 665.
[2] Yasushi Numata, Yuta Shinohara, Tomoya Kitayama, et al. Process Biochemistry, 2013, 48: 569.
[3] BU Tian-jia, CHENG Peng,GUO Liang,et al(卜天佳,程 鹏,郭 亮,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2017, 37(9): 2974.
[4] Li Xiaoyun, Xia Yuxing, Huang Juming, et al. Chinese Physics Letters, 2008, 25(9): 3326.
[5] Li Xiaoyun, Xia Yuxing, Zhan Li, et al. Optics Letter, 2008, 33(18): 2143.
[6] Hill R A, Mulac A J, Hackett C E. Applied Optics, 1977, 16(7): 2004.
[7] Mulac A J, Flower W L, Hill R A, et al. Applied Optics, 1978, 17(17): 2695.
[8] Trutna W R, Byer R L. Applied Optics, 1980, 19(2): 301.
[9] Ohara Shinobu, Yamaguchi Shigeru, Endo Masamori, et al. Optical Review, 2003, 10(5): 342.
[10] Utsav K C, Joel A Silver, David C Hovde, et al. Applied Optics, 2011, 50(24): 4805.
[11] LI Bin, LUO Shi-wen, YU An-lan, et al(李 斌, 罗时文, 余安澜,等). Acta Phys. Sin.(物理学报), 2017, 66(19): 190703. |
[1] |
ZHENG Hong-quan, DAI Jing-min*. Research Development of the Application of Photoacoustic Spectroscopy in Measurement of Trace Gas Concentration[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 1-14. |
[2] |
LI Jie, ZHOU Qu*, JIA Lu-fen, CUI Xiao-sen. Comparative Study on Detection Methods of Furfural in Transformer Oil Based on IR and Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 125-133. |
[3] |
WANG Fang-yuan1, 2, HAN Sen1, 2, YE Song1, 2, YIN Shan1, 2, LI Shu1, 2, WANG Xin-qiang1, 2*. A DFT Method to Study the Structure and Raman Spectra of Lignin
Monomer and Dimer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 76-81. |
[4] |
XING Hai-bo1, ZHENG Bo-wen1, LI Xin-yue1, HUANG Bo-tao2, XIANG Xiao2, HU Xiao-jun1*. Colorimetric and SERS Dual-Channel Sensing Detection of Pyrene in
Water[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 95-102. |
[5] |
WANG Xin-qiang1, 3, CHU Pei-zhu1, 3, XIONG Wei2, 4, YE Song1, 3, GAN Yong-ying1, 3, ZHANG Wen-tao1, 3, LI Shu1, 3, WANG Fang-yuan1, 3*. Study on Monomer Simulation of Cellulose Raman Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 164-168. |
[6] |
WANG Lan-hua1, 2, CHEN Yi-lin1*, FU Xue-hai1, JIAN Kuo3, YANG Tian-yu1, 2, ZHANG Bo1, 4, HONG Yong1, WANG Wen-feng1. Comparative Study on Maceral Composition and Raman Spectroscopy of Jet From Fushun City, Liaoning Province and Jimsar County, Xinjiang Province[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 292-300. |
[7] |
LI Wei1, TAN Feng2*, ZHANG Wei1, GAO Lu-si3, LI Jin-shan4. Application of Improved Random Frog Algorithm in Fast Identification of Soybean Varieties[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3763-3769. |
[8] |
WANG Zhi-qiang1, CHENG Yan-xin1, ZHANG Rui-ting1, MA Lin1, GAO Peng1, LIN Ke1, 2*. Rapid Detection and Analysis of Chinese Liquor Quality by Raman
Spectroscopy Combined With Fluorescence Background[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3770-3774. |
[9] |
LIU Hao-dong1, 2, JIANG Xi-quan1, 2, NIU Hao1, 2, LIU Yu-bo1, LI Hui2, LIU Yuan2, Wei Zhang2, LI Lu-yan1, CHEN Ting1,ZHAO Yan-jie1*,NI Jia-sheng2*. Quantitative Analysis of Ethanol Based on Laser Raman Spectroscopy Normalization Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3820-3825. |
[10] |
LU Wen-jing, FANG Ya-ping, LIN Tai-feng, WANG Hui-qin, ZHENG Da-wei, ZHANG Ping*. Rapid Identification of the Raman Phenotypes of Breast Cancer Cell
Derived Exosomes and the Relationship With Maternal Cells[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3840-3846. |
[11] |
LI Qi-chen1, 2, LI Min-zan1, 2*, YANG Wei2, 3, SUN Hong2, 3, ZHANG Yao1, 3. Quantitative Analysis of Water-Soluble Phosphorous Based on Raman
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3871-3876. |
[12] |
GUO He-yuanxi1, LI Li-jun1*, FENG Jun1, 2*, LIN Xin1, LI Rui1. A SERS-Aptsensor for Detection of Chloramphenicol Based on DNA Hybridization Indicator and Silver Nanorod Array Chip[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3445-3451. |
[13] |
ZHU Hua-dong1, 2, 3, ZHANG Si-qi1, 2, 3, TANG Chun-jie1, 2, 3. Research and Application of On-Line Analysis of CO2 and H2S in Natural Gas Feed Gas by Laser Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3551-3558. |
[14] |
LIU Jia-ru1, SHEN Gui-yun2, HE Jian-bin2, GUO Hong1*. Research on Materials and Technology of Pingyuan Princess Tomb of Liao Dynasty[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3469-3474. |
[15] |
LI Wen-wen1, 2, LONG Chang-jiang1, 2, 4*, LI Shan-jun1, 2, 3, 4, CHEN Hong1, 2, 4. Detection of Mixed Pesticide Residues of Prochloraz and Imazalil in
Citrus Epidermis by Surface Enhanced Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3052-3058. |
|
|
|
|