| 光谱学与光谱分析 |
|
|
|
|
|
| The Experimental Research on Reducing the Minimum Measureable Limit of Tunable Diode Laser Absorption Spectroscopy with Wavelet Analysis |
| ZHANG Li-fang, WANG Fei*, YU Li-bin, YAN Jian-hua, CEN Ke-fa |
| State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, China |
|
|
|
|
Abstract To obtain the weaker second harmonic signal of low concentration, reduce the minimum measurable limit and improve the sensitivity and accuracy of absorption measurement, a serious of data processing methods are proposed based on tunable diode laser wavelength modulation spectroscopy. The experiment on lower NH3 concentration at 2.25 μm was carried out in a 10.13 m absorption cell with different concentration. The peak height of the second harmonic signal is maximum at m=2.2, which optimizes the signal-to-noise ratio. In order to guarantee the optimal signal-to-noise ratio, the experiment was carried out by loading the optimal high frequency modulation signal. WMS-2f was performed at a repetitive scan rate of 200 Hz and a current-modulation rate of 15 kHz, wavelength modulation spectroscopy with the optimal signal-to-noise ratio was adopted for its better noise immunity to measure different lower NH3 concentration in the Herriott cell. This survey is focused on the ν2+ν3 bands of absorption spectra near 2.25 μm in near-infrared region at ambient temperature and pressure, the line strengths of 2.25 μm are much larger than the absorption lines in the telecommunication bands, using stronger NH3 absorption lines can offer the potential of lower detection limits. During the data processing, the background signal of the original harmonic should be deducted at first, the second harmonic signal of 0.6×10-6 was obtained in a 10 m long-path Herriott cell after data processing, these signal processing mainly consist of cross-correlation analysis, multiple averages and wavelet transform analysis, the cross-correlation analysis was used to control the shift of center wavelength, the multiple averages and wavelet transform analysis were used to reduce influences of the environment noise, after that we get the revised second harmonic signal and improve the accuracy of the measurement results. The experimental results show that these data processing methods can obviously improve the signal quality and reduce the minimum measurable limit about 100 times lower than before. The experiment doesn’t need to add any laboratory equipment and can well restrain the influence of the environmental noise and other disturbance, so these signal process combined with wavelength modulation technique will be more useful for on-line gas detection technology.
|
|
Received: 2015-04-01
Accepted: 2015-08-16
|
|
|
|
Corresponding Authors:
WANG Fei
E-mail: wangfei@zju.edu.cn
|
|
[1] WANG Fei, HUANG Qun-xing, LI Ning, et al(王 飞，黄群星，李 宁，等). Acta Physica Sinica(物理学报), 2007，56(7): 3867.
[2] Sun K, Chao X, Sur R, et al. Measurement Science and Technology, 2013, 24: 1.
[3] SHAO Jie, GAO Xiao-ming, YUAN Yi-qian, et al(邵 杰，高晓明，袁怿谦，等). Acta Physica Sinica(物理学报), 2005，54(10): 4638.
[4] MAO Yu-wen, TU Ya-qing, XIAO Wei, et al(毛育文，涂亚庆，肖 玮，等). Journal of Vibration and Shock(振动与冲击), 2012, 31(21): 112.
[5] Reid J, Labrie D. Applied. Physics. B-Lasers and Optics，1981，26: 203.
[6] WANG Jian, Maiorov M, Jeffries J B, et al. Measurement Science and Technology，2000，11: 1576.
[7] HAO Lü-yuan, WU Guo-rong, SHI Qiang, et al(郝绿原，吴国荣，史 强，等). Chinese Journal of Chenical Physics(化学物理学报), 2001，14(2): 147.
[8] Chao Xing, Jeffries J B, Hanson R K. Proceedingsof the Combustion Institute, 2013, 34: 3583.
[9] XIA Hua, DONG Feng-zhong, TU Guo-jie, et al(夏 滑，董凤忠，涂郭结，等). Acta Optica Sinica(光学学报), 2010，30(9): 2596.
[10] ZHOU Wei(周 伟). MATLAB Wavelet Analysis Advanced Technology(MATLAB小波分析高级技术). Xi’an: Xidian University Press(西安： 西安电子科技大学出版社), 2005. 87.
[11] PAN Quan, ZHANG Lei, MENG Jin-li, et al(潘 泉, 张 磊，孟晋丽，等). Wavelet Filtering Method and Application(小波滤波方法及应用). Beijing: Tsinghua University Press(北京： 清华大学出版社), 2005. 63. |
| [1] |
LI He1, WANG Yu2, FAN Kai2, MAO Yi-lin2, DING Shi-bo3, SONG Da-peng3, WANG Meng-qi3, DING Zhao-tang1*. Evaluation of Freezing Injury Degree of Tea Plant Based on Deep
Learning, Wavelet Transform and Visible Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 234-240. |
| [2] |
ZHOU Bei-bei1, LI Heng-kai1*, LONG Bei-ping2. Variation Analysis of Spectral Characteristics of Reclaimed Vegetation in an Ionic Rare Earth Mining Area[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3946-3954. |
| [3] |
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. |
| [4] |
DU Zhi-heng1, 2, 3, HE Jian-feng1, 2, 3*, LI Wei-dong1, 2, 3, WANG Xue-yuan1, 2, 3, YE Zhi-xiang1, 2, 3, WANG Wen1, 2, 3. A New EDXRF Spectral Decomposition Method for Sharpening Error Wavelets[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1719-1724. |
| [5] |
LI Wei1, 2, HE Yao1, 2, LIN Dong-yue2, DONG Rong-lu2*, YANG Liang-bao2*. Remove Background Peak of Substrate From SERS Signals of Hair Based on Gaussian Mixture Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 854-860. |
| [6] |
WANG Ren-jie1, 2, FENG Peng1*, YANG Xing3, AN Le3, HUANG Pan1, LUO Yan1, HE Peng1, TANG Bin1, 2*. A Denoising Algorithm for Ultraviolet-Visible Spectrum Based on
CEEMDAN and Dual-Tree Complex Wavelet Transform[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 976-983. |
| [7] |
YE Da-wei1, 2, DING Fang1*, LI Ke-dong1, 2, CHEN Xia-hua1, 2, LUO Yu1, 2, ZHANG Qing1, 2, MENG Ling-yi1, 2, LUO Guang-nan1, 2. Study on Time Delay of Impurity Line Emissions Between in the Edge and Core Plasmas in EAST Tokamak[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3507-3511. |
| [8] |
WANG Fan1, 2, CHEN Long-yue2, 3, DUAN Dan-dan1, 2, 4*, CAO Qiong1, 4, ZHAO Yu1, LAN Wan-rong5. Estimation of Total Nitrogen Content in Fresh Tea Leaves Based on
Wavelet Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3235-3242. |
| [9] |
HU Xin-yu1, 2, XU Zhang-hua1, 2, 3, 5, 6*, HUANG Xu-ying1, 2, 8, ZHANG Yi-wei1, 2, CHEN Qiu-xia7, WANG Lin1, 2, LIU Hui4, LIU Zhi-cai1, 2. Relationship Between Chlorophyll and Leaf Spectral Characteristics and Their Changes Under the Stress of Phyllostachys Praecox[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2726-2739. |
| [10] |
YU Xin, ZHOU Wei*, XIE Dong-cai, XIAO Feng, LI Xin-yu. The Study of Digital Baseline Estimation in CVAFS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2392-2396. |
| [11] |
JIANG Rong-chang1, 2, GU Ming-sheng2, ZHAO Qing-he1, LI Xin-ran1, SHEN Jing-xin1, 3, SU Zhong-bin1*. Identification of Pesticide Residue Types in Chinese Cabbage Based on Hyperspectral and Convolutional Neural Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1385-1392. |
| [12] |
LI Xue-ying1, 2, LI Zong-min3*, CHEN Guang-yuan4, QIU Hui-min2, HOU Guang-li2, FAN Ping-ping2*. Prediction of Tidal Flat Sediment Moisture Content Based on Wavelet Transform[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1156-1161. |
| [13] |
Yumiti Maiming1, WANG Xue-mei1, 2*. Hyperspectral Estimation of Soil Organic Matter Content Based on Continuous Wavelet Transformation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1278-1284. |
| [14] |
CHEN Feng-nong1, SANG Jia-mao1, YAO Rui1, SUN Hong-wei1, ZHANG Yao1, ZHANG Jing-cheng1, HUANG Yun2, XU Jun-feng3. Rapid Nondestructive Detection and Spectral Characteristics Analysis of Factors Affecting the Quality of Dendrobium Officinale[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(10): 3276-3280. |
| [15] |
CHEN Jian-hong, LIN Zhi-qiang, SUN Chao-yue. Determination of New Non-Invasive Blood Glucose Detection Method Based on Spectral Decomposition[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(08): 2378-2383. |
|
|
|
|
