老化粮食种子鉴别对农业生产和食品安全具有重要意义,因此,结合红外光谱和多元统计分析对人工老化小麦种子进行研究。实验结果表明,不同老化程度小麦种子的原始光谱总体比较相似。在二阶导数红外光谱中,人工老化小麦种子在1800~800 cm ^-1范围内的吸收峰强度和形状显示出差异。在1800~800 cm ^-1范围内,小麦种子二维相关红外光谱的自动峰数目、强度随老化时间的增加会发生明显变化。研究结果表明,红外光谱法结合主成分分析和系统聚类分析法可以快速、方便地区分人工老化小麦种子,有望发展为鉴别老化种子的新方法。

Identification of aging grain seeds has attracted significant attention in agricultural production and food safety. Therefore, this study combines infrared spectroscopy and multivariate statistical analysis to investigate artificially aging wheat seeds. The experimental results show that the original spectra of wheat seeds with different aging degrees are similar. In the second derivative infrared spectrum, the peak intensity and shape of the wheat seeds showed differences in the range of 1800--800 cm ^-1. In the range of 1800--800 cm ^-1, the number and intensity of automatic peaks of the two-dimensional correlation infrared spectrum of wheat seeds will change significantly with the increase of aging time. The study results show that infrared spectroscopy with principal component analysis and hierarchical cluster analysis can quickly and conveniently distinguish artificially aging wheat seeds. It is expected to develop into a new method for identifying aging seeds.