|
|
|
|
|
|
Raman Signal Enhancement for Liquid Detection Using a New Sample Cell |
SI Gan-shang1, 2, LIU Jia-xiang1, LI Zhen-gang1, 2, NING Zhi-qiang1, 2, FANG Yong-hua1, 2*, CHENG Zhen1, 2, SI Bei-bei1, 2, YANG Chang-ping1, 2 |
1. Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
2. University of Science and Technology of China, Hefei 230026, China
|
|
|
Abstract The most significant advantages include multi-component, noncontact detection, short testing period and molecular fingerprint characteristics. Raman spectroscopy has been successfully used in many fields. However, the low Raman-scattering signal limits its further development. In order to improve the sensitivity of Raman liquid detection, a method for enhancing the liquid Raman signal based on a new sample cell is reported in this paper. A concave mirror is added to the bottom of the traditional cuvette. On the one hand, the laser can be reflected and focused again after acting on the sample. On the other hand, the Raman scattering signals of forward and backward are collected by the setup at the same time. Thereby the Raman signal can be improved. Firstly, the influencing factors of Raman scattering intensity and the relationship between the Raman scattering signal intensity and the collection angle excited by unpolarized light are analyzed theoretically. It is concluded that the scattering intensity is the largest when the collection angle is forward and backward (0° or 180°). A new sample cell was designed, and the silver-plated concave mirror (diameter 12.5 mm, focal length 10 mm) and quartz tube (outer diameter 12 mm, wall thickness 1 mm, length 30 mm) was bonded with UV glue to form a liquid sample cell. A 785 nm Raman probe setup was used to conduct relevant experimental research, and different samples (75% ethanol, isopropanol, methanol) were detected and compared with traditional cuvettes. The results showed that the new sample cell is effective for different liquid samples, and the detection sensitivity can be improved, the enhancement factor is nearly 4 times. In order to analyze the repeatability of the new sample cell manufacturing method, the detection effects of the three sample cells were compared in the experiment. Lastly, to verify the detection ability of low-concentration samples, the 75% ethanol solution diluted 20 times was detected using the new sample cell. The result shows that the new sample can obtain effective Raman spectroscopy information. The experimental results prove that the new sample cell can improve the detection sensitivity of liquid Raman spectroscopy. It has a simple structure and a wide range of applications.
|
Received: 2022-02-07
Accepted: 2022-07-05
|
|
Corresponding Authors:
FANG Yong-hua
E-mail: yhfang@aiofm.ac.cn
|
|
[1] Yeon Chul Ha, Jae Hwan Lee, Young Jin Koh, et al. Current Optics and Photonics,2017, 1:247.
[2] Patrick Nelson, Perculiar Adimabua, Ankai Wang, et al. Applied Spectroscopy,2020, 74:1341.
[3] Kumar V, Holtum T, Sebena D, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy,2021, 250: 119359.
[4] Yang Dewang,Guo Jinjia,Liu Qingsheng,et al. Appllied Optics,2016, 55:7744.
[5] GUO Jin-jia, ZHANG Feng, LIU Chun-hao, et al(郭金家, 张 锋, 刘春昊, 等). Spetcroscopy and Spectral Analysis(光谱学与光谱分析), 2017, 37(10): 3099.
[6] Choi J H,Choi M,Kang T,et al. Biosensors, 2021, 11: 441.
[7] Knebl A, Domes R, Wolf S, et al. Analytical Chemistry, 2020, 92(18): 12564.
[8] Eravuchira P, Banchelli M, D’Andren C, et al. Journal of Biomedical Optics, 2020, 25(7): 1.
[9] Tian Y, Su J W, Ju J, et al. Biomedical Optics Express, 2017, 8(11): 5243.
[10] Liu Qing, Michael Stenbæk Schmidt, Hugo Thienpont, et al. Optics Express, 2020, 28:16163.
[11] Lewis A T, Gaifulina R, Isabelle M , et al. Journal of Raman Spectroscopy, 2017, 48(1): 119.
[12] Gauglitz G, Vo-Dinh T. Handbook of Spectroscopy[EB/OL]. Weinheim:Wiley-Vch. Verlag GmbH & Co. 2003, 57.
[13] Kiefer J, Seeger T, Steuer S, et al. Measurement Science & Technology, 2008, 19(8): 085408.
[14] Yang Dewang,Liu Qingsheng,Guo Jinjia,et al. Sensors, 2021, 21(11): 3803.
[15] Yi Canan,Lv Yong,Xiao Han,et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2017, 138:72.
|
[1] |
WU Shu-jia1, 2, YAO Ming-yin2, 3, ZENG Jian-hui2, HE Liang2, FU Gang-rong2, ZENG Yu-qi2, XUE Long2, 3, LIU Mu-hua2, 3, LI Jing2, 3*. Laser-Induced Breakdown Spectroscopy Detection of Cu Element in Pig Fodder by Combining Cavity-Confinement[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1770-1775. |
[2] |
ZHANG Rong1, 2, DUAN Ning1, 3, JIANG Lin-hua1, 3*, XU Fu-yuan3, JIN Wei3, LI Jian-hui1. Study on Optical Path Optimization for Direct Determination of
Spectrophotometry of High Concentration Hexavalent Chromium
Solution by Ultraviolet Visible Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1829-1837. |
[3] |
LIU Feng-xiang, HE Shuai, ZHANG Li-hao, HUANG Xia, SONG Yi-zhi*. Application of Raman Spectroscopy in Detection of Pathogenic Microorganisms[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3653-3658. |
[4] |
ZHANG Xue-fei1, DUAN Ning1, 2*, JIANG Lin-hua1, 2*, CHENG Wen2, YU Zhao-sheng3, LI Wei-dong2, ZHU Guang-bin4, XU Yan-li2. Study on Stability and Sensitivity of Deep Ultraviolet Spectrophotometry Detection System[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3802-3810. |
[5] |
LI Jun-meng1, ZHAI Xue-dong1, YANG Zi-han1, ZHAO Yan-ru1, 2, 3, YU Ke-qiang1, 2, 3*. Microscopic Raman Spectroscopy for Diagnosing Roots in Apple
Rootstock Under Heavy Metal Copper Stress[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2890-2895. |
[6] |
LI Yan-yan1, 2, LUO Hai-jun1, 2*, LUO Xia1, 2, FAN Xin-yan1, 2, QIN Rui1, 2. Detection of Craniocerebral Hematoma by Array Scanning Sensitivity Based on Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 392-398. |
[7] |
LI Ming1, 2, NI Long1, WANG Meng1, 2*, ZHU Zhong-xu1, YUAN Chuan-jun1, 2, WU Jian3*. Research Progress on Evaluating the Effects of Nanomaterial-Based Development of Latent Fingerprints[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(09): 2670-2680. |
[8] |
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. |
[9] |
SUI Ya-nan1,2, ZHANG Lei-lei1,2, LU Shi-yang1,2, YANG De-hong1,2, ZHU Cheng1,2*. Research on the Shrimp Quality of Different Storage Conditions Based on Raman Spectroscopy and Prediction Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(05): 1607-1613. |
[10] |
LI Yang-yu1, MA Jian-guang2*, LI Da-cheng1, CUI Fang-xiao1, WANG An-jing1, WU Jun1. Research on Spatial Offset Raman Spectroscopy and Data Processing Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(01): 71-74. |
[11] |
TIAN Xing1, 2, 3, CAO Yuan1, 3, WANG Jing-jing1, 3, CHEN Jia-jin1, LIU Kun1, TAN Tu1, WANG Gui-shi1, GAO Xiao-ming1*. High Sensitivity Detection of Two-Component CH4/H2O Based on Off-Axis Cavity Enhanced Absorption Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(10): 3078-3083. |
[12] |
ZHANG Xu1, 2, WANG Shuang1*, LI Jie1, 2, QIN Jie3, WANG Kai-ge1, BAI Jin-tao1, 2, HE Qing-li2*. Study on a Non-Destructive Drug Testing Method Based on Spatially Offset Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(05): 1472-1476. |
[13] |
WANG Zi-ren, WANG Chang-hua, HU Fang-fei, LI Ji-dong*. Quantification of Trace Impurities in Graphite by Glow Discharge Mass Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(04): 1256-1261. |
[14] |
MAO Feng1, WANG Ming-jia2*. Low-Light-Level Readout Based on Quantum Dots-in-Well Photodetector at Room Temperature[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(03): 877-881. |
[15] |
WANG Ning1, 2, WANG Chi1, BIAN Hai-yi2, WANG Jun3, WANG Peng2, BAI Peng-li3, YIN Huan-cai3, TIAN Yu-bing2, GAO Jing2*. The Identification Method of Blood by Applying Hilbert Transform to Extract Phase Information of Raman Spectra[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(08): 2412-2418. |
|
|
|
|