您好,欢迎访问北京市农林科学院 机构知识库!

The Recognition of Biological Pesticide Adulteration by Attenuated Total Reflection Infrared Spectroscopy

文献类型: 外文期刊

作者: Li Xiao-ting 1 ; Wand Dong 1 ; Zhu Da-Zhou 3 ; Ma Zhi-hong 1 ; Pan Li-gang 1 ; Wang Ji-hua 1 ;

作者机构: 1.Beijing Res Ctr Agr Stand & Testing, Beijing 100097, Peoples R China

2.Shanghai Jiao Tong Univ, Sch Agr & Biol, Shanghai 200240, Peoples R China

3.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

关键词: Infrared spectroscopy;Attenuated total reflection;Partial least squares;Biological pesticides;Adulteration

期刊名称:JOURNAL OF PURE AND APPLIED MICROBIOLOGY ( 影响因子:0.073; )

ISSN:

年卷期:

页码:

收录情况: SCI

摘要: 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 ofAbamectin 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.

  • 相关文献

[1]Research on Rapid and Non-Destructive Identification of Aging Wheat Based on ATR-Terahertz Spectroscopy Combined with PLS-DA. Wang Dong,Pan Li-gang,Li An,Jin Xin-xin,Ma Zhi-hong,Wang Ji-hua,Wang Dong,Pan Li-gang,Li An,Jin Xin-xin,Ma Zhi-hong,Wang Ji-hua,Liu Long-hai,Jiang, Justin. 2016

[2]Nondestructive identification of hard seeds of three legume plants using near infrared spectroscopy. Ma Hanxu,Zhu Liwei,Huang Yanyan,Wang Qing,Sun Baoqi,Sun Qun. 2012

[3]Hyperspectral Estimation of Leaf Water Content for Winter Wheat Based on Grey Relational Analysis(GRA). Jin Xiu-liang,Wang Yan,Tan Chang-wei,Zhu Xin-kai,Guo Wen-shan,Xu Xin-gang,Wang Ji-hua,Li Xin-chuan. 2012

[4]Research on Error Reduction of Path Change of Liquid Samples Based on Near Infrared Trans-Reflective Spectra Measurement. Wang Ya-hong,Dong Da-ming,Zheng Wen-gang,Wang Wen-zhong,Wang Ya-hong,Zhou Ping,Ye Song,Wang Wen-zhong. 2014

[5]Using hyperspectral measurements to estimate ratio of leaf carbon to nitrogen in winter wheat. Xu, Xin-gang,Yang, Xiao-dong,Yang, Hao,Feng, Hai-kuai,Yang, Gui-jun,Song, Xiao-yu. 2014

[6]A comparative study for the quantitative determination of soluble solids content, pH and firmness of pears by Vis/NIR spectroscopy. Li, Jiangbo,Huang, Wenqian,Zhao, Chunjiang,Zhang, Baohua.

[7]Field monitoring of wheat seedling stage with hyperspectral imaging. Wu Qiong,Fang Jingjing,Ji Jianwei,Wang Cheng. 2016

[8]Discrimination of Adulterated Sesame Oil Using Mid-infrared Spectroscopy and Chemometrics. Zhao, Xiande,Dong, Daming,Zheng, Wengang,Jiao, Leizi,Lang, Yun.

[9]Soil Nutrient Detection Method Based on Combining Mid-Infrared Attenuated Total Reflection and Diffuse Reflectance Spectroscopy. Chen Chen,Li Zhi-wei,Chen Chen,Dong Da-ming. 2017

[10]Chinese vinegar classification via volatiles using long-optical-path infrared spectroscopy and chemometrics. Dong, D.,Zheng, W.,Jiao, L.,Lang, Y.,Zhao, X..

作者其他论文 更多>>