Integrative two-dimensional correlation spectroscopy (i2DCOS) for the intuitive identification of adulterated herbal materials

被引:50
作者
Chen, Jianbo [1 ]
Wang, Yue [2 ]
Rong, Lixin [3 ]
Wang, Jingjuan [2 ]
机构
[1] Beijing Univ Chinese Med, Sch Life Sci, Beijing 100029, Peoples R China
[2] Beijing Univ Chinese Med, Sch Chinese Mat Med, Beijing 100102, Peoples R China
[3] China Acad Chinese Med Sci, Guanganmen Hosp, Pharm Dept, Beijing 100053, Peoples R China
基金
中国国家自然科学基金; 北京市自然科学基金;
关键词
Two-dimensional correlation spectroscopy; Fourier transform infrared spectroscopy; Fritillariae Bulbus; Adulteration screening; Quality control; FRONTIERS;
D O I
10.1016/j.molstruc.2018.02.061
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
IR, Raman and other separation-free and label-free spectroscopic techniques have been the promising methods for the rapid and low-cost quality control of complex mixtures such as food and herb. However, as the overlapped signals from different ingredients usually make it difficult to extract useful information, chemometrics tools are often needed to find out spectral features of interest. With designed perturbations, two-dimensional correlation spectroscopy (2DCOS) is a powerful technique to resolve the overlapped spectral bands and enhance the apparent spectral resolution. In this research, the integrative two-dimensional correlation spectroscopy (i2DCOS) is defined for the first time overcome some disadvantages of synchronous and asynchronous correlation spectra for identification. The integrative 2D correlation spectra weight the asynchronous cross peaks by the corresponding synchronous cross peaks, which combines the signal-to-noise ratio advantage of synchronous correlation spectra and the spectral resolution advantage of asynchronous correlation spectra. The feasibility of the integrative 2D correlation spectra for the quality control of complex mixtures is examined by the identification of adulterated Fritillariae Bulbus powders. Compared with model-based pattern recognition and multivariate calibration methods, i2DCOS can provide intuitive identification results but not require the number of samples. The results show the potential of i2DCOS in the intuitive quality control of herbs and other complex mixtures, especially when the number of samples is not large. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:327 / 335
页数:9
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