首页> 外文期刊>Analytical methods >The combination of NIR spectroscopy and HPLC chromatography for differentiating lotus seed cultivars and quantitative prediction of four main constituents in lotus with the aid of chemometrics
【24h】

The combination of NIR spectroscopy and HPLC chromatography for differentiating lotus seed cultivars and quantitative prediction of four main constituents in lotus with the aid of chemometrics

机译:NIR光谱与HPLC色谱法的组合在莲花辅助中区分莲子品种和四个主要成分的定量预测

获取原文
获取原文并翻译 | 示例
           

摘要

Lotus has been widely cultivated and consumed in Asia, Oceania and America, and it is not only used as an ornamental plant but also as a dietary staple. In this work, fingerprinting techniques based on NIR spectroscopy and HPLC chromatography were used to discriminate four important kinds of lotus seed cultivars, Xianglian, Jianlian, Ganlian and Hulian. By the use of the NIR spectra and the aid of genetic algorithm-partial least squares (GA-PLS) and principal component analysis (PCA), cored lotus seed samples were successfully discriminated into four cultivars. High performance liquid chromatographic (HPLC) characteristic peaks detected at different wavelengths can also be used for PCA analysis to differentiate the lotus seed cultivars. Furthermore, quantitative prediction analysis of total sugar, total polysaccharide, liensinine and rutin in cored lotus seed (liensinine and rutin are mainly in lotus plumule) can be successfully performed with the use of the combined data matrix of 30 common characteristic HPLC peaks and 37 GA-PLS selected NIR spectral variables (wavelengths). The results suggested that the combination of NIR and HPLC supported by chemometrics is suitable for the discrimination of the plant cultivars and quantitative prediction of the active constituents in lotus seed samples.
机译:莲花在亚洲,大洋洲和美国被广泛种植和消费,并且它不仅用作观赏植物,而且作为饮食包。在这项工作中,基于NIR光谱和HPLC色谱法的指纹识别技术用于区分四种重要种类的莲子品种,湘莲,建莲,甘莲和兴隆。通过使用NIR光谱和遗传算法 - 局部最小二乘(GA-PL)和主成分分析(PCA),成功地区分了核心莲子样品。在不同波长检测到的高性能液相色谱(HPLC)特征峰也可用于PCA分析以区分莲子种子。此外,通过使用组合的数据矩阵为30个常见特征HPLC峰和37A Ga Ga -pls选择的nir光谱变量(波长)。结果表明,化学计量学支持的NIR和HPLC的组合适用于植物品种的鉴别和莲子样品中活性成分的定量预测。

著录项

  • 来源
    《Analytical methods》 |2017年第45期|共10页
  • 作者单位

    Nanchang Univ State Key Lab Food Sci &

    Technol Nanchang 330047 Jiangxi Peoples R China;

    Nanchang Univ Coll Chem Nanchang 330031 Jiangxi Peoples R China;

    Nanchang Univ State Key Lab Food Sci &

    Technol Nanchang 330047 Jiangxi Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 分析化学;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号