Acta Agrestia Sinica

Acta Agrestia Sinica ›› 2016, Vol. 24 ›› Issue (4): 928-932.DOI: 10.11733/j.issn.1007-0435.2016.04.035

Previous Articles    

Study on NIR Models for Trifolium pratense Isoflavone Quantitative Analysis

JIA Cong-jun1, ZHANG Zheng-li1, GAO Hong-wen1, PANG Yong-zhen2, WANG Zan1   

  1. 1. Institue of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China;
    2. Institute of Botany, The Chinese Academy of Sciences, Beijing 100093, China
  • Received:2015-09-23 Revised:2016-04-10 Online:2016-08-15 Published:2016-11-29

近红外预测红三叶异黄酮含量的模型研究

贾聪俊1, 张正丽1, 高洪文1, 庞永珍2, 王赞1   

  1. 1. 中国农业科学院北京畜牧兽医研究所, 北京 100193;
    2. 中国科学院植物研究所, 北京 100093
  • 通讯作者: 王赞,E-mail:wangzan@caas.cn
  • 作者简介:贾聪俊(1991-),男,浙江浦江人,硕士研究生,主要从事牧草种质资源方面研究,E-mail:dkjcj723@sina.com
  • 基金资助:

    科技部国际科技合作专项（2015DFR30570）；中国农业科学院科技创新工程（ASTIP-IAS10）资助

PDF

Abstract:

In this study, the near infrared spectrum models for different components of isoflavones and total isoflavone were established using the modified partial least squares (MPLS) on Trifolium pretense, which were validated by the validation samples. The results showed that the models for glycitin, formononetin and total isoflavone exhibit highly predictive accuracy. The system deviation and correlation coefficient of them were -0.007, 0.010, -0.185 and 0.83, 0.91, 0.90, respectively.

Key words: Trifolium pratense, NIR model, Isoflavones

摘要：

应用偏最小二乘法建立红三叶（Trifolium pratense）多种异黄酮及总异黄酮定量分析的近红外模型。用验证集对模型的预测性能进行了评价。结果表明：黄豆黄苷、芒柄花黄素及总异黄酮的模型预测效果较理想。其中，黄豆黄苷模型系统偏差为-0.007，相关系数为0.83，芒柄花黄素模型系统偏差为0.010，相关系数为0.91，总异黄酮模型系统偏差为-0.185，相关系数为0.90。

关键词: 红三叶, 近红外模型, 异黄酮

CLC Number: