Spectroscopy and Spectral Analysis, Volume. 41, Issue 10, 3147(2021)
Rapidly Detection of Total Nitrogen and Phosphorus Content in Water by Surface Enhanced Raman Spectroscopy and GWO-SVR Algorithm
Figures & Tables(10)
Fig. 3. Spectra pretreatment
(a): Background removal; (b): Smoothed
Fig. 4. Correlation between predicted value and true value
(a): TN; (b): TP
Table 1. The characteristic Raman spectral peak of TN
View tableView in ArticleTable 1. The characteristic Raman spectral peak of TN
特征峰位/cm-1 官能团 振动方式 797.08 
伸缩振动 834.95 —CH/—CO 平面弯曲振动 948.90 CH3/CH 平面摇摆振动/平面外弯曲振动 1 024.09 邻-双取代苯 伸缩振动 1 394.32 N—H 平面内弯曲振动
Table 2. The characteristic Raman spectral peak of TP
View tableView in ArticleTable 2. The characteristic Raman spectral peak of TP
特征峰位/cm-1 官能团 振动方式 561.44 O—P—O 反对称角振动 930.44 P—O 对称伸缩振动 1 080.22 P—O 反对称角振动
Table 3. GWO-SVR model evaluation results
View tableView in ArticleTable 3. GWO-SVR model evaluation results
R2 MSE Elapsed time/s TN 0.999 5 0.005 8 1.467 TP 0.998 5 0.037 6 1.646
Table 4. Comparison of prediction results of different models (TN)
View tableView in ArticleTable 4. Comparison of prediction results of different models (TN)
Model R2 MSE Elapsed time/s PSO-BP 0.998 3 0.022 7 13.94 ABC-SVR 0.993 8 0.052 7 2.29 GWO-SVR 0.999 5 0.005 8 1.47
Table 5. Comparison of prediction results of different models(TP)
View tableView in ArticleTable 5. Comparison of prediction results of different models(TP)
Model R2 MSE Elapsed time/s PSO-BP 0.996 0.042 6 19.67 ABC-SVR 0.979 2 0.299 2 1.85 GWO-SVR 0.998 5 0.037 6 1.65
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Yan-jun ZHANG, Cheng-long KANG, Ya-qian LIU, Xing-hu FU, Jin-xiao ZHANG, Ming-xue WANG, Liu-zhen YANG. Rapidly Detection of Total Nitrogen and Phosphorus Content in Water by Surface Enhanced Raman Spectroscopy and GWO-SVR Algorithm[J]. Spectroscopy and Spectral Analysis, 2021, 41(10): 3147
Paper Information
Category: Research Articles
Received: Sep. 11, 2020
Accepted: --
Published Online: Oct. 29, 2021
The Author Email: Yan-jun ZHANG (yjzhang@ysu.edu.cn)
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