使用手持的近红外仪器估计树叶的杜林含量
Kamaranga H S Peiris1, Scott R Bean1, Chad M Hayes2
1Center for Grain and Animal Health, USDA-ARS, Manhattan, KS, United States.
Frontiers in plant science
|February 27, 2026
概括
近红外 (NIR) 光谱学提供了一种快速且具有成本效益的方法来测量dhurrin,这是中的有毒化合物. 这种技术可以在植物育种计划中对子生殖质进行预选.
科学领域:
- 农业科学 农业科学
- 分析化学 分析化学
- 植物生理学 植物生理学
背景情况:
- 榴中有毒的原糖化物杜林 (Dhurrin) 影响其作为料的使用,并表明耐旱性.
- 传统的高性能液态染色学 (HPLC) 对杜林的分析是昂贵和耗时的.
- 一项可行性研究探索了近红外 (NIR) 光谱技术,以快速测量叶中的杜林.
研究的目的:
- 评估使用NIR光谱法测量叶中杜林含量的可行性.
- 使用NIR数据开发和比较dhurrin含量的预测模型.
主要方法:
- 部分最小平方 (PLS),反向传播神经网络 (BPNN) 和深度学习人工神经网络 (ANNDL) 模型的开发.
- 使用手持式NIR光谱仪扫描新鲜和干燥的叶.
- 评估基于R2,RMSEP和dhurrin估计偏差的模型性能.
主要成果:
- 关于dhurrin含量的预测模型成功地开发了干燥的叶,但不是新鲜的叶子.
- 尼尔射线光谱模型实现了0.711-0.719的R2值,RMSEP和偏差很低.
- 这些模型准确地估计了干叶样本中的dhurrin含量在广泛范围内 (0.65-46.52μg/mg).
结论:
- 尼尔射线光谱为杜林分析提供了一个快速且具有成本效益的HPLC替代方案.
- 这种技术有可能在植物育种计划中预先选子生殖质.
- 尼尔射线光谱学可以帮助选择 Sorghum 品种,以期望的杜林水平,以获得料和干旱耐受性.
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