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

利用多元融合方法鉴定薏苡仁的地理来源和品种

阅读:3

Abstract

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, δ(2)H, and δ(18)O 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 δ(18)O 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.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。