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<p>To ensure the authenticity of geographic origins and varieties of <i>coix</i> seeds and their preliminary processed products, this study focused on their viscosity characteristics and stable isotopes before and after gelatinization. The feasibility of identifying <i>coix</i> seed origins from Guizhou and Liaoning, China, and distinguishing between big <i>coix</i> seed (BCS) and small <i>coix</i> seed (SCS) based on viscosity parameters, protein and lipid content, stable isotope ratios and near-infrared spectra was investigated. Significant differences were observed in peak viscosity, trough viscosity, final viscosity, <i>δ</i><sup>2</sup>H, and <i>δ</i><sup>18</sup>O values between Guizhou and Liaoning <i>coix</i> seeds, as well as between BCS and SCS. Stable isotopic changes before and after gelatinization were consistent, with higher <i>δ</i><sup>18</sup>O values in gelatinized <i>coix</i> seeds. PLS-DA models achieved prediction accuracies of 92.00% for Guizhou samples, 88.00% for Liaoning samples, and 84.00% for BCS and SCS, providing effective methods for the large-scale traceability of <i>coix</i> seeds’ geographic origins and varieties.</p>

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Multivariate fusion for identification of geographic origins and varieties of coix seed

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年3月25日

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  • Xing Liu,
  • Kai Fan,
  • Yangyang Lu,
  • Qinxiong Rao,
  • Qicai Zhang,
  • Hao Geng,
  • Zhengwu Wang,
  • Weiguo Song

摘要

To ensure the authenticity of geographic origins and varieties of coix seeds and their preliminary processed products, this study focused on their viscosity characteristics and stable isotopes before and after gelatinization. The feasibility of identifying coix seed origins from Guizhou and Liaoning, China, and distinguishing between big coix seed (BCS) and small coix seed (SCS) based on viscosity parameters, protein and lipid content, stable isotope ratios and near-infrared spectra was investigated. Significant differences were observed in peak viscosity, trough viscosity, final viscosity, δ2H, and δ18O values between Guizhou and Liaoning coix seeds, as well as between BCS and SCS. Stable isotopic changes before and after gelatinization were consistent, with higher δ18O values in gelatinized coix seeds. PLS-DA models achieved prediction accuracies of 92.00% for Guizhou samples, 88.00% for Liaoning samples, and 84.00% for BCS and SCS, providing effective methods for the large-scale traceability of coix seeds’ geographic origins and varieties.