|
|
|
|
|
|
Open-Path FTIR Gas Detection Method Based on Two-Dimensional Correlation Infrared Spectroscopy |
WANG Na1, 3, DONG Da-ming1, 3*, JIAO Lei-zi2,3 |
1. Guilin University of Electronic Technology,Guilin 541004,China
2. Guangxi Key Laboratory of Optoelectronic Information Processing (Guilin University of Electronic Technology), Guilin 541004, China
3. National Engineering Research Center for Information Technology in Agriculture,Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097,China |
|
|
Abstract Open-Path Fourier Transform infrared spectroscopy (OP-FTIR) enables fast, flexible, and quantitative detection of gas, but OP-FTIR signal is weak compared to gas pool extraction methods, and its ability to detect gas is restricted. In order to improve its detecting capacity of gas, two-dimensional correlation analysis is performed on the measured infrared spectrum data of the gas with natural gas flow disturbance. The ethanol gas and two kinds of Chinese spirits’ volatiles were used as the verification objects. The infrared absorption spectra of ethanol gas and the volatiles of Luzhouteniang and Fenjiu were measured by OP-FTIR method. In the untreated infrared absorption spectrum of ethanol gas, no obvious characteristic peak of ethanol was observed. The two-dimensional correlation analysis of the infrared absorption spectrum data showed that there was an obvious autopeak centered at 1 050 cm-1 in the two-dimensional correlation synchronous spectrum, and the autopeak came from ethanol. The results verified that the gas detection ability of the OP-FTIR method which is combined with two-dimensional correlation infrared spectroscopy was improved. The infrared absorption spectrum data of different concentrations of ethanol gas were processed by synchronous two-dimensional correlation. It was found that the autopeak intensity centered at 1 050 cm-1 in the two-dimensional correlation synchronous spectrum increased with the increase of ethanol gas concentration, indicating that OP-FTIR gas detection method based on two-dimensional correlation spectrum has a certain quantitative analysis capability. When detecting the volatiles of Luzhouteniang and Fenjiu by OP-FTIR method, the ethanol gas in the volatile matter was detected in the region of 820~1 480 cm-1, and the gas content was measured by the intensity of the auto peak at (1 050, 1 050 cm-1) in the two-dimensional correlation synchronous spectrum. The results showed that the ethanol gas content in the volatiles of the Luzhouteniang is higher than that in Fenjiu; the aroma components in the volatile matter were detected by the region of 1 700~1 820 and 1 400~1 600 cm-1, by comparing the two-dimensional asynchronous spectrum of the volatiles of the Luzhouteniang and Fenjiu, it found that there are more cross peaks in the two-dimensional asynchronous spectrum of the volatiles of Luzhouteniang, so Luzhouteniang showed more abundant aroma substances information compared to the volatiles of Fenjiu, this difference can be used to identify the volatiles of Fenjiu and Luzhouteniang. The research proved that the OP-FTIR gas detection method based on two-dimensional correlation infrared spectroscopy realized the improvement of the gas detection ability of OP-FTIR method, and has certain quantitative analysis ability. At the same time, combined with two-dimensional correlation infrared spectroscopy, OP-FTIR also has further research significance for identifying different volatile matter.
|
Received: 2019-07-14
Accepted: 2019-11-20
|
|
Corresponding Authors:
DONG Da-ming
E-mail: damingdong@hotmail.com
|
|
[1] Qiu J, Hou H Y, Huyen N T, et al. Applied Sciences, 2019, 9(14): 2807.
[2] Hur Jin, Bo-Mi Lee. Chemosphere, 2011, 83(11) : 1603.
[3] Chen W, Habibul N, Liu X Y, et al. Environmental Science & Technology, 2015, 49(4): 2052.
[4] Geng D C, Chen B, Chen M J. Journal of Food Measurement and Characterization, 2019, 13(2): 1566.
[5] Noda I, Dowrey A E, Marcoli C, et al. Applied Spectroscopy, 2000, 54(7): 236A.
[6] Ma Fang, Chen Jianbo, Wu Xianxue, et al. Journal of Molecular Structure, 2016, 1124: 131
[7] Wang Yong, Wang Ping, Xu Changhua, et al. Journal of Molecular Structure, 2014, 1070: 1.
[8] Yang R J, Liu R, Dong G M, et al. Spectrochimica Acta Part A: Molecular & Biomolecular Spectroscopy, 2016, 157(8): 50.
[9] Geng Dechun, Chen Bin, Chen Mingjie. Journal of Food Measurement and Characterization, 2019, 13(2): 1566.
[10] Yang Renjie, Liu Rong, Xu Kexin. Food Bioscience, 2013, 2: 61..
[11] FAN Zhao-sheng, CHEN Jian-bo, SUN Su-qin, et al(樊肇胜,陈建波,孙素琴,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2018,38(1): 95.
[12] Wiacek A, Gray T, Mitchell M, et al. Light, Energy and the Environment 2018 (E2, FTS, HISE, SOLAR, SSL). OSA Technical Digest. Singapore: Optical Society of America, 2018. FT5B. 5.
[13] Akagi S K, Burling I R, Mendoza A, et al. Atmospheric Chemistry and Physics, 2014, 14(1): 199.
[14] Dong D M, Zhao C J, Zheng W G, et al. Scientific Reports, 2013, 3(1): 2585. |
[1] |
LI Shu-jie1, LIU Jie1, DENG Zi-ang1, OU Quan-hong1, SHI You-ming2, LIU Gang1*. Study of Germinated Rice Seeds by FTIR Spectroscopy Combined With Curve Fitting[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1832-1840. |
[2] |
LIU Qing-sheng1, YANG De-wang2, GUO Jin-jia1*, YAN Ao-shuang1, ZHENG Rong-er1. Raman Spectroscopy for Gas Detection Using a Folded Near-Concentric Cavity[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(11): 3390-3393. |
[3] |
LIU Li-xian1, 2, 3, HUAN Hui-ting1, 2, Mandelis Andreas2, SHAO Xiao-peng1*. Multiple Dissolved Gas Analysis in Transformer Oil Based on Fourier Transform Infrared Photoacoustic Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(03): 684-687. |
[4] |
YANG Wei-mei1, LIU Gang1*, LIU Yu1, LIN Hao-jian1, OU Quan-hong1, AN Ran1, SHI You-ming2. Detection Method for Crop Rust by Fourier Transform Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(02): 435-442. |
[5] |
YANG Wei-mei1, LIU Gang1*, LIN Hao-jian1, OU Quan-hong1, AN Ran1, SHI You-ming2. Discrimination of Grain Seeds of Natural Aging by Two-Dimensional Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(10): 3041-3047. |
[6] |
MA Dian-xu1, LIU Gang1*, OU Quan-hong1, YU Hai-chao1, LI Hui-mei1, SHI You-ming2. Discrimination of Common Wild Mushrooms by FTIR and Two-Dimensional Correlation Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2113-2122. |
[7] |
XU Bei-lei1, SUN Su-qin2, ZHANG Gui-jun3, LI Wen-lan1, WANG Rui4, ZHANG Yan1, JIN Zhe-xiong1*, SONG Lin5. Study on Aqueous Extracts of Three Kinds of Radix Puerariae in Clinical by 2D-IR Correlation Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(03): 800-804. |
[8] |
HUANG Dong-lan, XU Yong-qun, CHEN Xiao-kang, LU Wen-guan. Rapid Discrimination of Two Kinds of Codonopsis pilosula Using Three-Step Infrared Macro-Fingerprinting Combined with Clustering Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(10): 3281-3288. |
[9] |
ZHA Shen-long1, 2, LIU Kun1, ZHU Gong-dong1, TAN Tu1, WANG Lei1, WANG Gui-shi1, MEI Jiao-xu1, GAO Xiao-ming1*. Acetylene Detection Based on Resonant High Sensitive Photoacoustic Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(09): 2673-2678. |
[10] |
MA Dian-xu, LIU Gang*, OU Quan-hong, YU Hai-chao, LI Hui-mei, LIU Yan . Discrimination of Seven Species of Boletus with Fourier Transform Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(08): 2479-2486. |
[11] |
MA Dian-xu, LIU Gang*, OU Quan-hong, YU Hai-chao, LI Hui-mei, LIU Yan . Discrimination of Lactarius and Russula Mushrooms with FTIR and Two-Dimensional Correlation Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(07): 2104-2110. |
[12] |
ZHENG Wei-jian1,2, LEI Zheng-gang1, YU Chun-chao1, YANG Zhi-xiong1, WANG Hai-yang1,2, FU Yan-peng1,2, LI Xun-niu1,2, LIAO Ning-fang2, SU Jun-hong1,2. Research on Ground-Based LWIR Hyperspectral Imaging Remote Gas Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(02): 599-606. |
[13] |
GUO Jin-jia, YANG De-wang, LIU Chun-hao . Raman Signal Enhancement for Gas Detection Using a Hollow Core Optical Fiber[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(01): 96-98. |
[14] |
DU Juan1,3, PENG Xi-yuan1,2, MA Fang2, CHEN Jian-bo2, ZHOU Qun2, JIN Zhe-xiong3, SUN Su-qin2* . Analysis and Identification of Semen Glycines Nigrae and Semen Pharbitidis by Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(09): 2429-2433. |
[15] |
JIN Zhe-xiong1, WANG Yue1,2, ZHOU Qun2, CHEN Jian-bo2, MA Fang2, SUN Su-qin2* . The Analyses and Identification of Flos Rhododendri Mollis and Flos Chrysanthemi Indici Via Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(09): 2434-2438. |
|
|
|
|