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首页> 外文期刊>Journal of Molecular Structure >Integrative two-dimensional correlation spectroscopy (i2DCOS) for the intuitive identification of adulterated herbal materials
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Integrative two-dimensional correlation spectroscopy (i2DCOS) for the intuitive identification of adulterated herbal materials

机译:用于直观鉴定掺假草药材料的整合二维相关光谱(I2DCOS)

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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.
机译:IR,拉曼和其他无分离和标签的光谱技术是对食品和草药等复杂混合物的快速和低成本质量控制的有希望的方法。然而,由于来自不同成分的重叠信号通常使得难以提取有用的信息,通常需要化学计量器工具来查找感兴趣的光谱特征。通过设计的扰动,二维相关光谱(2DCO)是解决重叠光谱带的强大技术,并增强表观光谱分辨率。在该研究中,第一次定义了集成二维相关光谱(I2DCOS)克服了同步和异步相关谱的一些缺点以进行识别。积分2D相关谱通过相应的同步交叉峰值重量异步交叉峰值,其结合了同步相关谱的信噪比优势和异步相关谱的光谱分辨率优点。通过鉴定掺假的贝母粉粉末,检查了用于复杂混合物质量控制的整合2D相关光谱的可行性。与基于模型的模式识别和多变量校准方法相比,I2DCO可以提供直观的识别结果,但不需要样品的数量。结果表明I2DCO在草药和其他复杂混合物的直观质量控制中的潜力,特别是当样品的数量不大时。 (c)2018年elestvier b.v.保留所有权利。

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