多角度红外差分吸收光谱的化学污染物在线检测方法

刘家祥; 方勇华; 崔方晓; 吴军

doi:doi:10.3788/gzxb20154407.0730002

光子学报, 2015, 44 (7): 0730002, 网络出版: 2015-08-25

多角度红外差分吸收光谱的化学污染物在线检测方法

Research on in situ Detection of Chemical Contaminants Based on Multi-angle Infrared Differential Absorption Spectra

论文大纲

刘家祥 ^1,2,*方勇华 ^1,2崔方晓 ¹吴军 ²

作者单位

¹ 中国科学院大学, 北京, 100049

² 中国科学院安徽光学精密机械研究所, 合肥 230031

摘要

基于多角度红外差分吸收光谱, 提出一种针对物体表面化学污染物在线检测法.用红外遥测光谱仪和光源, 以不同角度对化学污染物进行检测, 根据不同角度吸收率的差别, 通过差分法提取化学污染物的光谱特征.在分析多角度红外差分吸收光谱的化学污染物在线检测模型的基础上, 分别在室内和野外对不同基底上的三种化学污染物: 二甲基硅油, 磷酸三乙酯和水杨酸甲酯进行检测.结果表明, 借助于多角度红外吸收光谱, 该方法在室内和野外都能准确提取典型基底上三种物质的光谱特征, 且基底越平整, 光源入射角的角度差别越大, 特征越明显.

Abstract

In order to detect contaminants on surface, a method for surface contamination detection was developed based on multi-angle infrared differential absorption spectra. As contaminants′ absorption ability varied with measurement angles, the spectral features of contaminants could be extracted from multi-angle observations. Firstly, multi-angle measurement model of chemical contaminants was introduced. Then three typical compounds: poly (dimethylsiloxane), triethyl phosphate and methyl salicylate were measured both in laboratory and field on different substrates. The results showed that, with multi-angle infrared differential absorption spectra, this method could extract directly spectral features of contaminants both in laboratory and field on typical surfaces, and spectral features of contaminants got more distinct with more smooth substrate and larger difference between two incidence angles employed. This method had application potential in immediate responding for chemical contaminants detection.

参考文献

[1] 张存位, 王慧飞, 陈远航, 等. 化学事故中应急洗消方案的研究［J］. 中国安全生产科学技术, 2012, 8(01): 103-107.

ZHANG Cun-wei, WANG Hui-fei, CHEN Yuan-hang, et al. ［J］. Journal of Safety Science and Technology, 2012, 8(01): 103-107.

[2] 肖洁. 凝胶渗透色谱净化-气相色谱质谱法在两类食品污染物检测中的应用研究［D］. 重庆: 西南大学, 2013: 19-33.

XIAO Jie. Determination of two kinds of contaminations in food by gel permeation chromatography and gas chromatography/Mass［D］. Chongqing: Southwest University, 2013: 19-33.

[3] LAVOIE H, THRIAULT J M, BOUFFARD F, et al. Detection of chemical pollutants by passive LWIR hyperspectral Imaging［C］. International Society for Optics and Photonics, 2012, 8513(851503): 1-10.

[4] LAVOIE H, THRIAULT J M, BOUFFARD F, et al. LWIR hyperspectral imaging application and detection of chemical precursors［C］. International Society for Optics and Photonics, 2012, 8546(85460J): 1-10.

[5] HARIG R, MATZ G, RUSCH P. Scanning infrared remote sensing system for identification, visualization, and quantification of airborne pollutants［C］. International Society for Optics and Photonics, 2002, 4574(1): 83-94.

[6] HARIG R. Passive remote sensing of pollutant clouds by Fourier-transform infrared spectrometry: signal-to-noise ratio as a function of spectral resolution［J］. Applied Optics, 2004, 43(23): 4603-4610.

[7] 郭永彩, 张天华, 高潮, 等. 差分吸收光谱技术及在大气监测领域中的应用［J］. 重庆大学学报, 2003, 26(8): 27-31.

GUO Yong-cai, ZHANG Tian-hua, GAO Chao, et al. Application of differential optical absorption spectroscopy in detection of airborne pollutants［J］. Journal of Chongging University, 2003, 26(8): 27-31.

[8] 谢品华, 刘文清, 魏庆农. 大气环境污染气体的光谱遥感监测技术［J］. 量子电子学报, 2000, 17(5): 385-394.

XIE Pin-hua, LIU Wen-qing, WEN Qing-nong. Remote sensing spectroscopy of airborne polluants［J］. Chinese Journal of Quantum Electronics, 2000, 17(5): 385-394.

[9] 罗宇涵, 孙立广, 刘文清, 等. 采用MAX-DOAS观测北极新奥尔松地区夏季NO2的柱浓度与垂直分布［J］. 光谱学与光谱分析, 2012, 32(9): 2336-2440.

LUO Yun-han, SUN Li-guang, LIU Wen-qing, et al. MAX-DOAS measurement of NO2 column densities and vertical distribution at Ny-Alesund, arctic during summer［J］. Sepectroscopy and Spectral Analysis, 2012, 32(9): 2003-2400.

[10] BELL A, DYER C, JONES A, et al. Standoff liquid CW detection［C］. International Society for Optics and Photonics, 2004, 5268(1): 302-309.

[11] THRIAULT J M, PUCKRIN E, HANCOCK J, et al. Passive standoff detection of chemical warfare agents on surfaces［J］. Applied Optics, 2004, 43(31): 5870-5885.

[12] LAVOIE H, PUCKRIN E, THRIAULT J M, et al. Passive standoff detection of SF6 at a distance of 5. 7 km by differential Fourier Transform infrared radiometry［J］. Applied Spectroscopy, 2005, 59(10): 1189-1193.

[13] LAVOIE H, THRIAULT J M, PUCKRIN E, et al. Passive standoff detection of surface contaminants: a novel approach by differential polarization FTIR spectrometry［J］. International Journal of High Speed Electronics and Systems, 2008, 18(2): 251-262.

[14] HARIG R, GERHARD J, BRAUN R, et al. Remote detection of gases and liquids by imaging Fourier transform spectrometry using a focal plane array detector: first results［C］. International Society for Optics and Photonics, 2006, 6378(637816): 1-12.

[15] HARIG R, BRAUN R, CHRIS D, et al. Short-range remote detection of liquid surface contamination by active imaging Fourier transform spectrometry［J］. Optics Express, 2008, 16(8): 5708-5714.

[16] BRAUN R, EICHMANN J, SABBAH S, et al. Remote detection of liquid surface contamination by imaging infrared spectroscopy: measurements and modelling［C］. SPIE, 2011, 8189(81890G): 1-13.

[17] 崔方晓, 方勇华. 基于亮温光谱的红外背景压缩方法［J］. 光学学报, 2013, 33(11): 1-6.

CUI Fang-xiao, FANG Yong-hua. Infrared background compression method based on brightness temperature spectrum［J］. Acta Optica Sinica, 2013, 33(11): 1-6.

[18] 胡壮丽. 钢和铝合金表面发射率特征的实验研究［D］. 河南师范大学, 2010: 1-7.

HU Zhuang-li. Experiment investigation of steel and aluminum alloy surface emissivity characteristics［D］. Henan Normal University, 2010: 1-7.

[19] 贺福. 硅油剂及其硅污染［J］. 高科技纤维与应用, 2010, 12(6): 10-17.

HE Fu. Silicon oil and its contaminant［J］. Hi-Tech Fiber & Application, 2010, 12(6): 10-17.

[20] KYCIA A H, VEZVAIE M, ZAMLYNNY V, et al. Non-contact detection of chemical warfare simulant triethyl phosphate using PM-IRRAS［J］. Analytica Chimica acta, 2012, 737(1): 45-54.

刘家祥, 方勇华, 崔方晓, 吴军. 多角度红外差分吸收光谱的化学污染物在线检测方法[J]. 光子学报, 2015, 44(7): 0730002. LIU Jia-xiang, FANG Yong-hua, CUI Fang-xiao, WU Jun. Research on in situ Detection of Chemical Contaminants Based on Multi-angle Infrared Differential Absorption Spectra[J]. ACTA PHOTONICA SINICA, 2015, 44(7): 0730002.

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