|
|
|
|
|
|
Research on Raman Spectrum Recognition Method Based on Improved
Reverse Matching |
XUE Wen-dong1*, CHEN Ben-neng1, HONG De-ming1, YANG Zhen-hai1, LIU Guo-kun2 |
1. School of Aerospace Engineering, Xiamen University, Xiamen 361005, China
2. College of the Environment & Ecology, Xiamen University, Xiamen 361005, China
|
|
|
Abstract Aiming at the weight difference between strong and weak peaks and the interference of noise peaks in the traditional reverse matching method (RMM), an improved reverse matching method (IRMM) is proposed in this paper. In this method, the weight attenuation function is introduced to optimize the weight proportion relationship between the strong peak and the weak so that the weight of each feature peak in the spectrum is distributed in a reasonable range, which avoids the situation that the weight of the strong peak masks the weak. Moreover, this method realizes the adaptive filtering of noise peaks by the method of dynamic noise filtering of the probability distribution function, which improves the recognition performance of the reverse matching method. In the experiment, many conventional Raman and surface-enhanced Raman spectra were used as verification samples, which were identified and verified based on a large database of conventional Ramanand surface-enhanced Raman. Experiments show that this method (IRMM) has a comprehensive accuracy rate of 91.52% under a large amount of data testing, which is greatly improved compared to the hit quality index method (HQI, 51.08%) and the traditional reverse matching method (RMM, 16.57%).
|
Received: 2022-04-05
Accepted: 2022-07-06
|
|
Corresponding Authors:
XUE Wen-dong
E-mail: xwd@xmu.edu.cn
|
|
[1] Zhang D, Liang P, Chen W W, et al. Microchimica Acta, 2021, 188(11): 370.
[2] NAN Di-na, DONG Li-qiang, FU Wen-xiang, et al(南迪娜,董力强,傅文翔,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2021, 41(6): 1806.
[3] Cui X Y, Li J M, Li Y T, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2022, 266: 120432.
[4] Outon J, Blanco E, Dominguez M, et al. Applied Surface Science, 2022, 580: 152228.
[5] Zhang W Q, He Y H, Wang Y F, et al. Energy Conversion and Management, 2022, 253: 115150.
[6] Carron K, Cox R. Analytical Chemistry, 2010, 82(9): 3419.
[7] Mozaffari M H, Tay Li-Lin. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2022, 272: 120961.
[8] Lee S, Lee H, Chung H. Analytica Chimica Acta, 2013, 758: 58.
[9] Zhang Z M, Chen X Q, Lu H M, et al. Chemometrics and Intelligent Laboratory Systems, 2014, 137: 10.
[10] XUE Wen-dong, ZHENG Wen-kai, CHEN Jin-fu, et al(薛文东, 郑文楷, 陈劲夫, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2017, 37(12): 3730.
[11] Hwang J, Choi N, Park A, et al. Journal of Molecular Structure, 2013, 1039: 130.
[12] Tse Poki, Shafer Jenifer, Bryan Samuel A, et al. Environmental Science & Technology, 2021, 55(19): 12943.
[13] Huang J L, Wen J X, Zhou M J, et al. Analytical Chemistry, 2021, 93(26): 9174.
[14] Zhang Z M, Tong X, Peng Y, et al. Analyst, 2015, 140(23): 7955.
[15] Lopez-Reyes G, Perez F R. Journal of Raman Spectroscopy, 2017, 48(11): 1654.
[16] Renner G, Schmidt T C, Schram J. Analytical Chemistry, 2017, 89(22): 12045.
[17] Zhang Z M, Chen S, Liang Y Z. Analyst, 2010, 135(5): 1138.
[18] Langer J, de Aberasturi D J, Aizpurua J, et al. ACS Nano, 2020, 14(1): 28.
[19] Rodriguez J D, Westenberger B J, Buhse L F, et al. Analyst, 2011, 136(20): 4232.
[20] Renner G, Sauerbier P, Schmidt T C, et al. Analytical Chemistry, 2019, 91(15): 9656.
|
[1] |
WANG Yu-ye1, 2, LI Hai-bin1, 2, JIANG Bo-zhou1, 2, GE Mei-lan1, 2, CHEN Tu-nan3, FENG Hua3, WU Bin4ZHU Jun-feng4, XU De-gang1, 2, YAO Jian-quan1, 2. Terahertz Spectroscopic Early Diagnosis of Cerebral Ischemia in Rats[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 788-794. |
[2] |
HU Qi-feng, CAI Jian. Research of Terahertz Time-Domain Spectral Identification Based on Deep Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(01): 94-99. |
[3] |
LAI Wen-hao1, ZHOU Meng-ran1*, LI Da-tong1, WANG Ya2, HU Feng1, ZHAO Shun3, GU Yu-lin1. Application of Unsupervised Learning AE and MVO-DBSCAN Combined with LIF in Mine Water Inrush Recognition[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(08): 2437-2442. |
[4] |
GAO Bin1, ZHAO Peng-fei1, LU Yu-xin1, FAN Ya1, ZHOU Lin-hua1*, QIAN Jun2, LIU Lin-na2, ZHAO Si-yan2, KONG Zhi-feng3. Study on Recognition and Classificationof Blood Fluorescence Spectrum with BP Neural Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(10): 3136-3143. |
[5] |
YANG Shuai1, ZUO Jian1*, LIU Shang-jian2*, ZHANG Cun-lin1 . Application of Terahertz Spectroscopy in the Detection of Chinese Medicine Processed Drugs of Rhubarb[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(12): 3870-3874. |
[6] |
ZENG Ya-ling, JIANG Long, CAI Xiao-yu, LI Yu* . Identification of the Characteristic Vibrations for 16 PAHs Based on Raman Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(11): 2999-3004. |
[7] |
GUO Shu-xia1, ZHANG Feng-ling1, GAO Pan1, ZENG Yong-ming2, CHEN Hong-ju2, LIU Guo-kun2, WANG Lei1* . SERS Spectrum Recognition for Malachite Green Real-Time Detection in Aquaculture Used Seawater [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(05): 1284-1288. |
[8] |
CHEN Bing1, 2, WANG Fang-yong1, HAN Huan-yong1, LIU Zheng1, XIAO Chun-hua2, ZOU Nan2 . Research of Influence Factors on Spectral Recognition for Cotton Leaf Infected by Verticillium wilt[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(03): 795-800. |
[9] |
HE Ting, SHEN Jing-ling* . Applications of Terahertz Spectroscopy in Illicit Drugs Detection [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(09): 2348-2353. |
[10] |
CAO Hui1,ZHOU Yan2* . Multi-Population Elitists Shared Genetic Algorithm for Outlier Detection of Spectroscopy Analysis [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31(07): 1847-1851. |
[11] |
LIU Zhong-tian, QIU Kuan-min. A Method for Auto-Recognizing the Stars Based on Spectral Feature [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30(01): 274-277. |
[12] |
CHEN Yan-jiang, LIU Yan-yan, ZHAO Guo-zhong, WANG Wei-ning, LI Fu-li*. Chinese Traditional Medicine Recognition by Support Vector Machine (SVM) Terahertz Spectrum [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29(09): 2346-2350. |
[13] |
ZHANG Ji-long, WANG Ming, TIAN Er-ming, LI Xiao, WANG Zhi-bin, ZHANG Yue. Analysis and Experimental Verification of Sensitivity and SNR of Laser Warning Receiver[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29(01): 20-23. |
[14] |
ZHU Dian-ming1,2,JIN Wan-xiang1,LUO Xiao-sen2,LIU Ying2,SHEN Zhong-hua2,LU Jian2,NI Xiao-wu2*. Identification of Protoporphyrin IX Fluorescence Spectrum in Human Blood Serum by Biorthogonal Spline Wavelet[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2008, 28(08): 1879-1882. |
[15] |
LIU Zhong-tian1,QIU Kuan-min1,ZHAO Rui-zhen2. A Method for Automatic Recognition of Stellar Spectra Based on Feature Matching of Spectral Lines[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2008, 28(06): 1435-1438. |
|
|
|
|