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Rapid Screening of Cadmium in Rice and Identification of Geographical Origins by Spectral Method

Author

Listed:
  • Fang Li

    (Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
    Beijing Municipal Key Laboratory of Agriculture Environment Monitoring, Beijing 100097, China)

  • Jihua Wang

    (Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
    Beijing Municipal Key Laboratory of Agriculture Environment Monitoring, Beijing 100097, China)

  • Li Xu

    (Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
    Beijing Municipal Key Laboratory of Agriculture Environment Monitoring, Beijing 100097, China)

  • Songxue Wang

    (Academy of State Administration of Grain, Beijing 100037, China)

  • Minghui Zhou

    (Academy of State Administration of Grain, Beijing 100037, China)

  • Jingwei Yin

    (Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China)

  • Anxiang Lu

    (Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
    Beijing Municipal Key Laboratory of Agriculture Environment Monitoring, Beijing 100097, China)

Abstract

The accuracy, repeatability and detection limits of the energy-dispersive X-ray fluorescence (XRF) spectrometer used in this study were tested to verify its suitability for rapid screening of cadmium in samples. Concentrations of cadmium in rice grain samples were tested by the XRF spectrometer. The results showed that the apparatus had good precision around the national limit value (0.2 mg/kg). Raman spectroscopy has been analyzed in the discrimination of rice grain samples from different geographical origins within China. Scanning time has been discussed in order to obtain better Raman features of rice samples. A total of 31 rice samples were analyzed. After spectral data pre-treatment, principal component analysis (PCA), K-means clustering (KMC), hierarchical clustering (HC) and support vector machine (SVM) were performed to discriminate origins of rice samples. The results showed that the geographical origins of rice could be classified using Raman spectroscopy combined with multivariate analysis.

Suggested Citation

  • Fang Li & Jihua Wang & Li Xu & Songxue Wang & Minghui Zhou & Jingwei Yin & Anxiang Lu, 2018. "Rapid Screening of Cadmium in Rice and Identification of Geographical Origins by Spectral Method," IJERPH, MDPI, vol. 15(2), pages 1-12, February.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:2:p:312-:d:131302
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    References listed on IDEAS

    as
    1. Fang Li & Anxiang Lu & Jihua Wang, 2017. "Modeling of Chromium, Copper, Zinc, Arsenic and Lead Using Portable X-ray Fluorescence Spectrometer Based on Discrete Wavelet Transform," IJERPH, MDPI, vol. 14(10), pages 1-12, September.
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