|
|
|
|
|
|
| A Simple Measuring Method for Infrared Spectroscopy of Liquid Matters |
| YANG Shan, CAI Xiu-qin, LIU Yu-han, WANG Wei |
College of Chemistry and Materials, Weinan Normal University, Weinan 714099, China
|
|
|
|
|
Abstract Infrared (IR) spectroscopy is an important tool for the qualitative analysis of liquid matters. IR spectroscopy of liquid samples is commonly prepared by liquid film method and tested by transmission (TR) method, while the salt window required is expensive, prone to force or moisture cracking. The incomplete surface cleaning or scratches can easily cause test interference; moreover, installing the demountable liquid cells is troublesome, and mixing the trapped air into the sample will also cause test interference. In this paper, a simple method for measuring IR spectra of liquid substances is studied. The differences between the improved TR method, samples prepared by smearing method of directly coating liquid onto a single-use compressed potassium bromide (KBr) disc, and the attenuated total reflection (ATR) method in IR spectra of liquid substances are compared. 6 kinds of liquid reagents with different volatility, hygroscopicity and corrosivity were selected as the research objects, and their IR spectra were tested by both the improved TR method and ATR method. The IR spectra measured by the two methods were compared with those in the SDBS spectral database. The influence of scanning times and resolution on ATR spectra was also studied. The results show that the two methods are accurate in the IR qualitative analysis of liquid samples. The improved TR method simplifies the sample preparation process, avoids the problem of cleaning salt window, and reduces the cost, but water interference is still difficult to avoid. In contrast, the ATR method requires no sample preparation, is more simple, convenient and faster, and the interference of water is negligible. Although the overall intensity and fineness of the spectra tested by the ATR method are not as good as tested the TR method, the high-quality spectra can be obtained by improving the resolution and increasing the scanning times. The amount of liquid should be increased when using the improved TR method and ATR method for volatile liquids. The improved TR method is recommended for strongly acidic and/or corrosive liquids. For hygroscopic liquids, the spectra measured by the ATR method are easier to analyze. In contrast, except for strongly acidic and/or corrosive liquids, the other liquid substances can be rapidly and accurately tested by the ATR method.
|
|
Received: 2021-07-01
Accepted: 2021-08-22
|
|
|
|
[1] Tolstoy V P, Chernyshova I, Skryshevsky V A. Handbook of Infrared Spectroscopy of Ultrathin Films，2003. XIII.
[2] DENG Qin-ying, LIU Lan, DENG Hui-min(邓芹英, 刘 岚, 邓慧敏). Spectral Analysis Course(波谱分析教程). 2nd Edition(第2版). Beijing: Science Press(北京: 科学出版社), 2007. 44.
[3] Larkin P. Infrared and Raman Spectroscopy: Principles and Spectral Interpretation. Elsevier Science Inc., 2011. 27.
[4] Lerma Garcia M J, Ramis Ramos G, Herrero Martinez J M, et al. Food Chemistry, 2010, 118(1): 78.
[5] Michel K, Bureau B, Boussard Pledel C, et al. Sensors and Actuators B: Chemical, 2004, 101(1/2): 252.
[6] Ault A P, Pomeroy R. Journal of Chemical Education, 2012, 89(2): 243.
[7] YANG Shan, CAI Xiu-qin, ZHANG Yi-feng(杨 珊, 蔡秀琴, 张怡丰). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2020, 40(9): 2775.
[8] Christopher Blair Crawford, Brain Quinn. Microplastic Pollutants. Elsevier Science Inc., 2017. 219.
|
| [1] |
CHENG Jia-wei1, 2，LIU Xin-xing1, 2*，ZHANG Juan1, 2. Application of Infrared Spectroscopy in Exploration of Mineral Deposits: A Review[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 15-21. |
| [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] |
GAO Feng1, 2, XING Ya-ge3, 4, LUO Hua-ping1, 2, ZHANG Yuan-hua3, 4, GUO Ling3, 4*. Nondestructive Identification of Apricot Varieties Based on Visible/Near Infrared Spectroscopy and Chemometrics Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 44-51. |
| [4] |
LIU Jia, ZHENG Ya-long, WANG Cheng-bo, YIN Zuo-wei*, PAN Shao-kui. Spectra Characterization of Diaspore-Sapphire From Hotan, Xinjiang[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 176-180. |
| [5] |
BAO Hao1, 2，ZHANG Yan1, 2*. Research on Spectral Feature Band Selection Model Based on Improved Harris Hawk Optimization Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 148-157. |
| [6] |
YANG Cheng-en1, 2, LI Meng3, LU Qiu-yu2, WANG Jin-ling4, LI Yu-ting2*, SU Ling1*. Fast Prediction of Flavone and Polysaccharide Contents in
Aronia Melanocarpa by FTIR and ELM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 62-68. |
| [7] |
GUO Ya-fei1, CAO Qiang1, YE Lei-lei1, ZHANG Cheng-yuan1, KOU Ren-bo1, WANG Jun-mei1, GUO Mei1, 2*. Double Index Sequence Analysis of FTIR and Anti-Inflammatory Spectrum Effect Relationship of Rheum Tanguticum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 188-196. |
| [8] |
SUN Wei-ji1, LIU Lang1, 2*, HOU Dong-zhuang3, QIU Hua-fu1, 2, TU Bing-bing4, XIN Jie1. Experimental Study on Physicochemical Properties and Hydration Activity of Modified Magnesium Slag[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3877-3884. |
| [9] |
LI Xiao-dian1, TANG Nian1, ZHANG Man-jun1, SUN Dong-wei1, HE Shu-kai2, WANG Xian-zhong2, 3, ZENG Xiao-zhe2*, WANG Xing-hui2, LIU Xi-ya2. Infrared Spectral Characteristics and Mixing Ratio Detection Method of a New Environmentally Friendly Insulating Gas C5-PFK[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3794-3801. |
| [10] |
HU Cai-ping1, HE Cheng-yu2, KONG Li-wei3, ZHU You-you3*, WU Bin4, ZHOU Hao-xiang3, SUN Jun2. Identification of Tea Based on Near-Infrared Spectra and Fuzzy Linear Discriminant QR Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3802-3805. |
| [11] |
LIU Xin-peng1, SUN Xiang-hong2, QIN Yu-hua1*, ZHANG Min1, GONG Hui-li3. Research on t-SNE Similarity Measurement Method Based on Wasserstein Divergence[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3806-3812. |
| [12] |
BAI Xue-bing1, 2, SONG Chang-ze1, ZHANG Qian-wei1, DAI Bin-xiu1, JIN Guo-jie1, 2, LIU Wen-zheng1, TAO Yong-sheng1, 2*. Rapid and Nndestructive Dagnosis Mthod for Posphate Dficiency in “Cabernet Sauvignon” Gape Laves by Vis/NIR Sectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3719-3725. |
| [13] |
WANG Qi-biao1, HE Yu-kai1, LUO Yu-shi1, WANG Shu-jun1, XIE Bo2, DENG Chao2*, LIU Yong3, TUO Xian-guo3. Study on Analysis Method of Distiller's Grains Acidity Based on
Convolutional Neural Network and Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3726-3731. |
| [14] |
DANG Rui, GAO Zi-ang, ZHANG Tong, WANG Jia-xing. Lighting Damage Model of Silk Cultural Relics in Museum Collections Based on Infrared Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3930-3936. |
| [15] |
LUO Li, WANG Jing-yi, XU Zhao-jun, NA Bin*. Geographic Origin Discrimination of Wood Using NIR Spectroscopy
Combined With Machine Learning Techniques[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3372-3379. |
|
|
|
|
