Xiao Hu, Ruimei Wu, Xiaoyu Zhu, Peng Liu, Aihua Xiong, Junshi Huang, Puxiang Yang, Junfei Xiong, Shirong Ai. Fast Detection of Chlorpyrifos Residues in Tea via Surface-Enhanced Raman Spectroscopy Combined with Two-Dimensional Correlation Spectroscopy[J]. Acta Optica Sinica, 2019, 39(7): 0730001
- Acta Optica Sinica
- Vol. 39, Issue 7, 0730001 (2019)
Fig. 1. Comparison of Raman spectra of Chlorpyrifos. (a) SERS of 10-mg/L chlorpyrifos standard solution; (b) theoretical Raman spectrum of chlorpyrifos
Fig. 2. Raman spectra of tea samples. (a) Original spectra; (b) spectra after SNV pre-treatment
Fig. 3. Two-dimensional correlation spectra of chlorpyrifos residues in tea samples at different bands. (a) Synchronization spectra; (b) autocorrelation spectra
Fig. 4. Characteristic peaks of chlorpyrifos pesticide residues in tea
Fig. 5. RMSECV of corresponding SVM model built with different principal components
Fig. 6. Iteration curve of GWO
Fig. 7. Scatter plots of predicted and measured values of model. (a) Calibration set; (b) prediction set
|
Table 1. Preparation of tea samples with chlorpyrifos pesticide residue
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Table 2. Theoretical and experimental SERS spectra of chlorpyrifos
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Table 3. Performance of different models
|
Table 4. Predicted and measured values of chlorpyrifos residue in tea based on SVM model
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20