基于近红外光谱的快速和准确的纤维素在大米层的定量分析
Shuang Fan1,2, Chaoqi Qin1,2, Zhuopin Xu1
1Anhui Key Laboratory of Environmental Toxicology and Pollution Control Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China.
使用近红外光谱 (NIRS) 开发了一种新方法,可以快速准确地测量米中的纤维素. 这有助于培育具有改善营养价值和质感的米品种.
科学领域:
- 农业科学 农业科学
- 频谱学是一种光谱学.
- 食品科学 食品科学 食品科学
背景情况:
- 降低大米中的纤维素可以改善棕色大米的营养和质地.
- 准确量化干纤维素对于培育低纤维素米品种至关重要.
研究的目的:
- 通过近红外光谱学 (NIRS) 建立一种快速而准确的方法来量化米层中的纤维素含量.
- 为选择和培育低纤维素米生殖质提供技术基础.
主要方法:
- 优化了二酸盐氧化 (PDO) 方法作为参考.
- 从141个米样本中收集近红外扩散反射率 (NIRdr) 和发射率 (NIRdt) 光谱.
- 开发并比较使用NIRdr,NIRdt和融合光谱 (NIRdr-NIRdt) 的定量分析模型.
主要成果:
- 优化的PDO方法显示了改进的精度.
- 融合光谱模型 (NIRdr-NIRdt,第一个导数) 显示出最高的预测准确度 (R2p = 0.903,RMSEP = 0.213%).
- 与野生类型 (W7) 相比,成功识别了一种大米突变 (O2) ,其树脂纤维素含量显著降低 (3.28%).
结论:
- NIRS提供了一种可行的方法,用于对米纤维素的定量分析.
- 这种技术支持选择和培育具有理想低纤维素干特征的米品种.
- 通过有针对性的米育种来提高米质量是可行的.
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