dentification of Glyphosate and Butachlor by Detecting Chlorella Pyrenoidosa with Raman Microspectroscopy†

doi:10.7503/cjcu20140938

Abstract

Abstract:

This study investigate the method to identify two herbicides using Chlorella pyrenoidosa as a carrier and obtained the Raman spectral information of β-carotene of Chlorella pyrenoidosa grown in glyphosate-polluted water, butachlor-polluted water and normal water, respectively. The partial least-squares(PLS) model and linear discriminant analysis(LDA) classification model were established by the spectral signal after preprocessing. When the threshold is ±0.3, the correct prediction rate to glyhosate and butachlor reached 83.33% by using the PLS model based on the whole band, and correct classification rate of the two herbicides can reach 100% by using LDA classification model based on characteristic peaks. The results show that using Chlorella pyrenoidosa as a carrier to identify heribicides glyphosate and butachlor is feasible and LDA classification model is more suitable for classification of the two herbicides.

Key words: Chlorella pyrenoidosa, Confocal Raman microspectroscopy, Partial least square, Linear discriminant analysis, Herbicides identification

CLC Number:

O657

TrendMD:

SHAO Yongni, JIANG Linjun, PAN Jian, HE Yong. dentification of Glyphosate and Butachlor by Detecting Chlorella Pyrenoidosa with Raman Microspectroscopy^†[J]. Chem. J. Chinese Universities, 2015, 36(6): 1082.

Figures/Tables 4

Fig.1 Original Raman spectra of single cell of Chlorella pyrenoidosa samples cultivated in different watera. Glyphosate water; b. normal water; c. butachlor water.

Fig.2 Preprocessing of Raman spectra(A) The origin spectrum; (B) bior2.6 wavelet transform; (C) bior2.6+Savitzky-Golay+Baseline; (D) Max-normalization.

Fig.3 Predicted and actual results of three kinds of water samplesGW: glyphosate-polluted water; NW: normal water; BW: butachlor-polluted water.

Table 1 Correct classification rate(CCR) of different types of water based on LDA modeling

Type of water	Calibration			Prediction
Type of water	Number	Missed	CCR(%)	Number	Missed	CCR(%)
Glyphosate-polluted water	20	0	100	10	0	100
Normal water	20	0	100	10	1	90
Butachlor-polluted water	20	0	100	10	0	100

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