ISSN: 0973-7510

E-ISSN: 2581-690X

Li Xiao-ting1,2, Wand Dong1, Zhu Da-Zhou3, Ma Zhi-hong1, Pan Li-gang1 and Wang Ji-hua1,2
1Beijing Research Center for Agricultural Standards and Testing, Beijing – 100 097, P. R. China.
2School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai – 200 240, P. R. China.
3National Engineering Research Center for Information Technology in Agriculture, Beijing – 100 097, P. R. China.
J Pure Appl Microbiol. 2013;7(Spl. Edn.: November):541-552
© The Author(s). 2013
Received: 27/09/2013 | Accepted: 04/11/2013 | Published: 30/11/2013
Abstract

Rapid qualitative and quantitative determination of biological pesticide (Avermectin) adulterated with highly toxic pesticide (Chlorpyrifos) were completed by ATR-FTIR technology. The IR absorbance spectra, the second derivative spectra, the comparative analysis of peak intensity and similarity comparison were used for qualitative analysis. The results showed that with the increase of the proportions of Chlorpyrifos which was adulterated into Abamectin, the number of characteristic absorption peaks belonged to Abamectin decreased, and the peak intensity gradually weakened. Conversely, the number of characteristic absorption peaks attributed to Chlorpyrifos increased, andhe peak intensity gradually strengthened. The quantitative prediction models of Abamectin EC adulterated with Chlorpyrifos were established by partial least squares regression method and optimized. And then the external validation sets was used to validate the model performance. The results showed that ATR-FTIR technology can accurately determine the content of Abamectin EC adulterated with Chlorpyrifos. The model of prediction precision was improved through spectrum pretreatment, outliers diagnosis and modeling parameters optimization. In addition, the predicted values and the real values had no significant differences. The determination coefficient (R2) was 99.88%. The root mean square error of calibration (RMSEC), the root mean square error of cross-validation (RMSECV) and the root mean square error of prediction (RMSEP) was 0.44, 0.79 and 0.70, respectively. The present study provided a new method for the rapid identification of biological pesticides mixed with chemical pesticides. It also laid a foundation for the application of ATR-FTIR technology to detect biological pesticides.

Keywords

Infrared spectroscopy, Attenuated total reflection, Partial least squares, Biological pesticides, Adulteration

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