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

文献类型: 外文期刊

第一作者: Li Xiao-ting

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

作者机构:

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.

分类号: Q93

  • 相关文献

[1]Determination of Melamine in Soybean Meal by Near-Infrared Imaging and Chemometrics. Li, Qingbo,Kang, Xue,Shi, Dongdong,Liu, Qingsheng.

[2]Determination of Iridoids in Gentiana rigescens by Infrared Spectroscopy and Multivariate Analysis. Qi, Lu-Ming,Qi, Lu-Ming,Zhang, Ji,Zuo, Zhi-Tian,Zhao, Yan-Li,Wang, Yuan-Zhong,Hang, Jin,Qi, Lu-Ming,Zhang, Ji,Zuo, Zhi-Tian,Zhao, Yan-Li,Wang, Yuan-Zhong,Hang, Jin.

[3]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

[4]Nondestructive Estimation of Fat Constituents of Sesame (Sesamum indicum L.) Seeds by Near-Infrared Reflectance Spectroscopy. Liu, Yan-yang,Mei, Hong-xian,Du, Zhen-wei,Wu, Ke,Zhang, Hai-yang,Zheng, Yong-zhan.

[5]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

[6]Identifying camellia oil adulteration with selected vegetable oils by characteristic near-infrared spectral regions. Chu, Xuan,Wang, Wei,Zhao, Xin,Jiang, Hongzhe,Li, Chunyang. 2018

[7]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

[8]Study on Identification and Traceability of Tea Material Cultivar by Combined Analysis of Multi-Partial Least Squares Models Based on Near Infrared Spectroscopy. Zhou Jian,Cheng Hao,Zeng Jian-ming,Wang Li-yuan,Wei Kang,He Wei,Wang Wei-feng,Liu Xu. 2010

[9]The Quantified Analysis of Fresh Mutton Tenderness Using PLS Methods and Fourier Transform Near-Infrared Spectroscopy. Zhang De-quan,Li Chun-hong,Li Yong,Li Shu-rong,Li Qing-peng,Zhou Hong-jie,Chen Xiao-na,Zhang Bo-lin,Sun Su-qin. 2008

[10]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

[11]Quantitative determination of nutrient content in poultry manure by near infrared spectroscopy based on artificial neural networks. Chen, L. J.,Han, L. J.,Xing, L.. 2009

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

[13]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.

[14]Quantitative determination of soybean meal content in compound feeds: comparison of near-infrared spectroscopy and real-time PCR. Li, Hui,Lv, Xiaowen,Wang, Jing,Li, Junguo,Yang, Haifeng,Qin, Yuchang.

[15]Determination of Chinese honey adulterated with high fructose corn syrup by near infrared spectroscopy. Chen, Lanzhen,Ye, Zhihua,Chen, Lanzhen,Xue, Xiaofeng,Zhou, Jinghui,Chen, Fang,Zhao, Jing.

[16]Recent advancements in detecting sugar-based adulterants in honey - A challenge. Wu, Liming,Du, Bing,Chen, Lanzhen,Zhao, Liuwei,Wang, Miao,Xue, Xiaofeng,Wu, Liming,Chen, Lanzhen,Wang, Miao,Xue, Xiaofeng,Wu, Liming,Chen, Lanzhen,Wang, Miao,Xue, Xiaofeng,Vander Heyden, Yvan.

[17]Detection of adulteration of sesame and peanut oils via volatiles by GC x GC-TOF/MS coupled with principal components analysis and cluster analysis. Zhao, Fangfang,Liu, Jingkun,Wang, Xiupin,Li, Peiwu,Zhang, Wen,Zhang, Qi,Wang, Xiupin,Li, Peiwu,Zhang, Qi,Wang, Xiupin,Li, Peiwu,Zhang, Qi,Wang, Xiupin,Li, Peiwu,Zhang, Qi,Li, Peiwu,Zhang, Wen,Zhang, Qi,Li, Peiwu,Zhang, Wen.

[18]Detection of honey adulteration by high fructose corn syrup and maltose syrup using Raman spectroscopy. Ling, Guowei,Shan, Yang,Zhu, Xiangrong,Zhang, Xin. 2012

[19]Determination of Nonprotein Nitrogen Components of Milk by Nuclear Magnetic Resonance. Li, Qiangqiang,Meng, Xianghe,Li, Qiangqiang,Zhu, Dan,Pang, Xiumei,Wang, Kaiqiang,Chen, Gang,Frew, Russell.

[20]Determination of Adulteration in Honey Using Near-Infrared Spectroscopy. Chen Lan-zhen,Zhao Jing,Chen Lan-zhen,Ye Zhi-hua,Zhong Yan-ping. 2008

作者其他论文 更多>>