|
|
|
|
|
|
Research on the Method of Real-Time Correction of Optical Path Length in Multi-Pass Cell for Methane Concentration Measurement |
JI Yi-min1, 2, TAN Tu2*, GAO Xiao-ming1, 2*, LIU Kun1, 2, WANG Gui-shi2 |
1. University of Science and Technology of China Research Institute Science Island Branch,Hefei 230026, China
2. Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Atmospheric Physical Chemistry Research Laboratory, Chinese Academy of Sciences,Hefei 230031, China
|
|
|
Abstract Methane (CH4) currently stands as a significant clean energy source, constituting a primary component of natural gas. However, due to its highly flammable and explosive properties, monitoring CH4 concentrations in the atmosphere and critical locations is paramount. Laser absorption spectroscopy, with its advantages of high sensitivity, rapid detection, excellent selectivity, and non-contact capabilities, has found extensive applications in gas measurements and related fields. Optical multi-pass cells (MPCs) are often employed to increase the optical path length (OPL) to achieve higher measurement accuracy. Real-time and precise calibration of the optical path length is of utmost significance. The concentration of the measured gas can be directly inverted by using Lambert Beer's law through the accurate value of optical path length and other parameters, avoiding the complex step of standard gas calibration in traditional methods. Due to the complex structure and high computational complexity of methods such as Frequency Modulated Continuous Wave (FMCW) and Optical Frequency Domain Reflectometer (OFDR) proposed by previous researchers, we propose a method for multi-pass cell internal optical path length measurement based on Amplitude Modulated Continuous Wave(AMCW) technology in this study, which has the advantages of simple structure and fast measurement speed. This method is integrated with laser absorption spectroscopy to measure the optical path length and CH4 absorption spectrum simultaneously. The laser beams, one with a center wavelength of 650 nm for measuring the optical path length and another from a Distributed Feedback (DFB) laser with a center wavelength of 1 654 nm for measuring the absorption spectrum, are simultaneously coupled into a multi-pass cell with a physical base length of 12 cm using fiber couplers. At the exit end, the amplitude modulation phase of the laser for the optical path length measurement and the optical intensity of the laser for CH4 absorption spectrum measurement are measured to obtain both optical path length and absorption spectrum information simultaneously. Measurements were conducted using a standard CH4 gas with a volume fraction of 297×10-6 and absorption lines of CH4 near 6 057.1 cm-1. First, the output wavenumber of the DFB laser at different operating currents was calibrated, which allowed the transformation of the absorption spectrum's x-axis from point numbers to wavenumber. Next, the incident angle of light entering the multi-pass cell was adjusted, and data for 4 sets of different optical path lengths and absorption spectra were measured. The internal optical path lengths of the multi-pass cell and the corresponding absorption peak values were 1.606 m and 0.021 2, 3.326 m and 0.044 5, 5.050 m and 0.067 8, and 6.762 m and 0.089 9, respectively. Linear fitting was applied to the measured optical path lengths and the ones estimated from the number of reflections, yielding a high correlation coefficient r≈1. Additionally, linear fitting was conducted between the measured optical path lengths and the absorption peak values, demonstrating excellent linearity with r≈0.999 87. These results validate the feasibility and accuracy of the AMCW technology for real-time measurement of internal optical path lengths within the multi-pass cell, providing a novel method and approach for determining the optical path length and measuring concentration in laser absorption spectroscopy.
|
Received: 2023-09-25
Accepted: 2024-01-09
|
|
Corresponding Authors:
TAN Tu, GAO Xiao-ming
E-mail: tantu@aiofm.ac.cn;xmgao@aiofm.ac.cn
|
|
[1] TANG Cheng-long,SI Zhan-bo,ZHANG Xu-hui, et al(汤成龙,司占博,张旭辉,等). Journal of Xi'an Jiaotong University(西安交通大学学报), 2015, 49(9): 41, 83.
[2] LI Lu-guang,WANG Hong-yan,LIU He, et al(李鹭光,王红岩,刘 合,等). Natural Gas Industry(天然气工业), 2018, 38(9): 1.
[3] LI Shao-min,SUN Li-qun(李绍民,孙利群). Acta Physica Sinica(物理学报), 2023, 72(1): 36.
[4] YAN Shu-guang,HE Lei,XIONG Pan(鄢曙光,贺 蕾,熊 攀). Journal of Safety and Environment(安全与环境学报), 2021, 21(3): 1138.
[5] ZANG Xiao-wei,SHEN Rui-qi,Yurtov E V, et al(臧小为,沈瑞琪,Yurtov E V,等). Journal of Nanjing Tech University(Natural Science Edition)[南京工业大学学报(自然科学版)], 2019, 41(5): 593.
[6] WANG Xuan,GAO Guang-zhen,LONG Fang-yu, et al(王 宣,高光珍,龙芳宇,等). Chinese Journal of Lasers(中国激光), 2023, 50(13): 221.
[7] Menzel L, Kosterev A A, Curl R F, et al. Applied Physics B, 2001, 72(7): 859.
[8] Ding Y, Macko P, Romanini D, et al. Journal of Molecular Spectroscopy, 2004, 226(2): 146.
[9] ZHAO Yi-fan,MAO Xiang-ju,ZHANG Hong-li, et al(赵一帆,毛香菊,张宏丽,等). Chinese Jorunal of Inorganic Analytical Chemistry(中国无机分析化学), 2023, 13(10): 1077.
[10] BAI Yu-xin,LI Xin,ZHAO Li-xia, et al(白雨鑫,李 欣,赵丽霞,等). Food Science(食品科学), 2012, 33(17): 284.
[11] FANG Bo,ZHAO Wei-xiong,YANG Na-na, et al(方 波,赵卫雄,杨娜娜,等). Chinese Journal of Quantum Electronics(量子电子学报), 2021, 38(5): 617.
[12] Cheng Gang, Cao Yanan, Tian Xing, et al. Frontiers in Physics, 2022, 10: 967715.
[13] Zheng Yang, Yin Guo, Ming Xianshun, et al. Sensors, 2018, 18(8): 2680.
[14] Owen Kyle, Farooq Aamir. Applied Physics B, 2014, 116(2): 371.
[15] Zaslavskii V Ya, Nadezhdinskii A I, Ponurovskii Ya Ya, et al. Quantum Electronics, 2011, 41: 81.
[16] Pan Hao, Wang Qiaoyun, Zhang Chu, et al. Infrared Physics & Technology, 2021, 118: 103874.
[17] Li Chuanliang, Shao Ligang, Meng Huiyan, et al. Optics Express, 2018, 26(22): 29330.
[18] Elandaloussi Hadj, Rouille Christian, Marie-Jeanne Patrick, et al. Applied Optics, 2016, 55(8): 1971.
[19] Du Z H, Gao H, Cao X H. Optics Express, 2016, 24(1): 417.
[20] Lou Xiutao, Chen Chen, Feng Yabo, et al. Optics Letters, 2018, 43(12): 2872.
[21] Lou Xiutao, Feng Yabo, Chen Chen, et al. Optics Express, 2020, 28(6): 9014.
[22] Konishi Tomoharu, Iiyama Koichi, Yoshii Yotsumi. Optics Communications, 2021, 498: 127208.
[23] LE Yi,XU Liu-bo,ZHAO Wen-cheng, et al(乐 意,许流博,赵文成,等). Journal of Huazhong University of Science and Technology(Nature Science Edition)[华中科技大学学报(自然科学版)], 2014, 42(7): 108.
[24] DING Bo-kun,SHAO Li-gang,WANG Kun-yang, et al(丁伯坤,邵李刚,王坤阳,等). Chinese Journal of Quantum Electronics(量子电子学报), 2022, 39(4): 502.
|
[1] |
TANG Yan1, 3, WU Jia1, XU Jian-jie2*, GUO Teng-xiao2, HU Jian-bo1, 4, ZHANG Hang4, LIU Yong-gang5*, YANG Yun-fan4. Analysis of Near-Infrared Anharmonic Vibration Spectra of Amino Acids
Using Density Functional Theory[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(11): 3149-3156. |
[2] |
YU Xin-ran1, 3, ZHAO Peng2, HUAN Ke-wei2, LI Ye2, JIANG Zhi-xia1, 3, ZHOU Lin-hua1, 3*. Research on Intelligent Algorithm of Near-Infrared Spectroscopy
Non-Invasive Detection Based on GA-SVR Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(11): 3020-3028. |
[3] |
YANG Cheng-en1, 2, GUO Rui-xue1, 3, XIN Ming-hao2, LI Meng4, LI Yu-ting2*, SU Ling1, 3*. Quantitative Determination of Polyphenols in Aronia Melanocarpa (Michx.) Elliott. by Mid-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(11): 3075-3081. |
[4] |
WANG Hong-en, FENG Guo-hong*, XU Hua-dong, ZHANG Run-ze. Identification of Blueberry Ripeness Based on Visible-Near Infrared
Spectroscopy and Deep Forest[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(11): 3280-3286. |
[5] |
LI Yu-tian1, 2, YU Hai-yan1, 2*, ZHANG Ke-xuan1, 2, BAI He1, 2, ZHANG Yu-ye1, 2. Spectroscopic Characteristics and Color Origin of Blue Coral[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(11): 3251-3257. |
[6] |
ZHAO Gao-kun1, LI Jia-chen2, WU Yu-ping1*, LI Jun-hui2, KONG Guang-hui1, ZHANG Guang-hai1, YAO Heng1, LI Wei1, GAO Yan-lan1. Application of Near-Infrared Spectroscopy to Analyze the Similarity of Cigar Tobacco From Different Origins[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(11): 3195-3198. |
[7] |
WANG Xue1, 2, 4, WANG Zi-wen1, ZHANG Guang-yue1, MA Tie-min1, CHEN Zheng-guang1, YI Shu-juan3, 4, WANG Chang-yuan2. A Universal Model for Quantitative Analysis of Near-Infrared
Spectroscopy Based on Transfer Component Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(11): 3213-3221. |
[8] |
MAO Li-yu1, 2, BIN Bin1*, ZHANG Hong-ming2*, LÜ Bo2, 3*, GONG Xue-yu1, YIN Xiang-hui1, SHEN Yong-cai4, FU Jia2, WANG Fu-di2, HU Kui5, SUN Bo2, FAN Yu2, ZENG Chao2, JI Hua-jian2, 3, LIN Zi-chao2, 3. Development of Wheat Component Detector Based on Near Infrared
Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(10): 2768-2777. |
[9] |
HUANG Wen-biao1, 2, XIA Hua2*, WANG Qian-jin1, 2, SUN Peng-shuai2, PANG Tao2, WU Bian2, ZHANG Zhi-rong1, 2, 3, 4*. Research on Measurement Method of δ 13C and δ 18O Isotopes Abundance in Exhaled Gas Based on the BP Neural Network Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(10): 2761-2767. |
[10] |
JIANG Xiao-gang1, 2, HE Cong1, 2, JIANG Nan3, LI Li-sha1, ZHU Ming-wang1, LIU Yan-de1, 2*. Discrimination of Apple Origin and Prediction of SSC Based on
Multi-Model Decision Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(10): 2812-2818. |
[11] |
ZHANG Yao-yao1, 2, FU Ying-chun1, 2, WEI Shu-ya1, 2*. The Identification and Analysis of the Modern Binding Media Based on Multiple Analytical Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(10): 2785-2794. |
[12] |
CHEN Heng-jie1, FANG Wang1, ZHANG Jia-wei1*, CHEN Shuang-kou2. The Experimental and Theoretical Study of Vibrational Spectroscopy for 2,5-Dichloropyrimidine[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(10): 2795-2804. |
[13] |
MU Liang-yin1, ZHAO Zhong-gai1*, JIN Sai2, SUN Fu-xin2, LIU Fei1. Near-Infrared Prediction Models for Quality Parameters of Culture Broth in Seed Tank During Citric Acid Fermentation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(10): 2819-2826. |
[14] |
LIU Rong-xiang1, YANG Zhan-feng1, 2*, LI Jie3*, CAO Zhao1, LI Qiang2, LI Ji-chuan1. FTIR and XPS Studies on the Effect of Ca2+ on the Fotation of Monazite by Octyl Hydroxamic Acid[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(10): 2959-2967. |
[15] |
LI Ri-hao, MA Yuan, ZHANG Wei-feng*. Spectral Reflectance Reconstruction Based on Multi-Target Screening Stacking Regression[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(10): 2988-2992. |
|
|
|
|