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  • 标题:Detection and Analysis of Residual Pesticides Based On Surface Raman Spectra of Spinach
  • 本地全文:下载
  • 作者:Liu Ying-Nan ; Yi Shu-Juan
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2016
  • 卷号:9
  • 期号:12
  • 页码:309-320
  • 出版社:SERSC
  • 摘要:This paper with spinach as the research object, to chlorpyrifos pesticide as detection object, using Raman spectroscopy technique surface pesticides in spinach residual detection method and rapid detection research. Starting from the detection method, study of the classic method and method for rapid detection of current situation of the development, Raman spectroscopy detection method as a means of detection, the selected object of study; master the Raman spectroscopy for rapid detection of the basic principles and originpro 9.0 software acquisition function using, lay the foundation for the subsequent detection of. After the actual test to determine Raman spectroscopy instrument laser wavelength to 473nm, acquisition time 2s spinach sample testing effect Best result.After no medicine Raman spectra to obtain the surface of spinach were denoising analysis results show that wavelet de noise method compared to the adjacent averaging, savitzky Golay method smoothing, median method effect better. On Spinach with different concentrations of chlorpyrifos Raman spectroscopy analysis that accorded with the residual linear relationship. The peak intensity method were selected to establish models were detected in spinach surface of pesticide chlorpyrifos. Raman spectroscopy detection method can of spinach surface of pesticide residues detection analysis. It solves the traditional measurement method for sample pretreatment is complex and long detection time, low efficiency of the measured defect
  • 关键词:Raman spectroscopy; pesti;cide residue analysis; quantitative detection
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