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Open AccessArticle

A Correction Method of Mixed Pesticide Content Prediction in Apple by Using Raman Spectra

1
National Research and Development Center for Agro-processing Equipment, College of Engineering, China Agricultural University, Beijing 100083, China
2
USDA-ARS Environmental Microbial and Food Safety Laboratory, Building 303, BARC-East, Beltsville, MD 20705, USA
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(8), 1699; https://doi.org/10.3390/app9081699
Received: 7 March 2019 / Revised: 13 April 2019 / Accepted: 18 April 2019 / Published: 24 April 2019
(This article belongs to the Section Chemistry)
In the study, a new correction method was applied to reduce error during Raman spectral detection on mixed pesticide residue in apples. Combined with self-built pesticide residues detection system by Raman spectroscopy and the application of surface enhancement technology, rapid real-time qualitative and quantitative analysis of deltamethrin and acetamiprid residues in apples could be applied effectively. In quantitative analysis, compared with the intensity value of characteristic peaks of single pesticide with same concentration, the intensity value of characteristic peaks of the two pesticides decreased after mixing the pesticides, which affected the results severely. By comparing the difference in the intensity of characteristic peaks of single and mixed pesticides, a correction method was proposed to eliminate the influence of pesticides mixture. Characteristic peak intensity values of gradient concentration pesticide from 100 mg·kg−1 to 10−3 mg·kg−1 and Lagrangian interpolation were applied in the correction method. And a smooth surface was applied to describe the correction coefficient of characteristic peak intensity. Through detecting the characteristic peak intensity values of the mixed pesticide, correction coefficient would be obtained. Then real values of the peak intensity of pesticides and the content of each component of the mixed pesticide would be acquired by the correction method. Correlation coefficient of model validation exceeded 0.88 generally and Root Mean Square Error also decreased obviously after correction, which proved the reliability of the method. View Full-Text
Keywords: Raman spectra; mixed pesticides; apple; correction method; rapid; real-time Raman spectra; mixed pesticides; apple; correction method; rapid; real-time
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MDPI and ACS Style

Li, Y.; Peng, Y.; Qin, J.; Chao, K. A Correction Method of Mixed Pesticide Content Prediction in Apple by Using Raman Spectra. Appl. Sci. 2019, 9, 1699. https://doi.org/10.3390/app9081699

AMA Style

Li Y, Peng Y, Qin J, Chao K. A Correction Method of Mixed Pesticide Content Prediction in Apple by Using Raman Spectra. Applied Sciences. 2019; 9(8):1699. https://doi.org/10.3390/app9081699

Chicago/Turabian Style

Li, Yan; Peng, Yankun; Qin, Jianwei; Chao, Kuanglin. 2019. "A Correction Method of Mixed Pesticide Content Prediction in Apple by Using Raman Spectra" Appl. Sci. 9, no. 8: 1699. https://doi.org/10.3390/app9081699

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