首页> 外文期刊>Journal of Pharmaceutical and Biomedical Analysis: An International Journal on All Drug-Related Topics in Pharmaceutical, Biomedical and Clinical Analysis >Analyzing of the volatile chemical constituents in Artemisia capillaris herba by GC-MS and correlative chemometric resolution methods.
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Analyzing of the volatile chemical constituents in Artemisia capillaris herba by GC-MS and correlative chemometric resolution methods.

机译:气相色谱-质谱法和相关化学计量学方法分析艾蒿中的挥发性化学成分。

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摘要

The volatile chemical constituents in traditional Chinese medicine (TCM), Artemisia capillaris herba, were determined by gas chromatography-mass spectrometry (GC-MS). The acquired two-dimensional data were resolved by correlative chemometric resolution methods. The noise in the raw data is pretreated by roughness penalty smoothing method. With the data denoised, heteroscedastic noise and signal-to-noise ratio were decreased apparently, which was favorable to the determination of component number. The selective range can be extracted from rankmap obtained by fixed size moving window evolving factor analysis (FSMWEFA) conveniently. The overlapped chromatographic peaks were resolved into pure chromatograms and pure spectra with evolving window orthogonal projection (EWOP). The purity of the resolved pure spectra were improved furthermore with the heteroscedastic noise decreased through roughness penalty smoothing method, although the basic structure of the raw data changes little. Qualitative analysis wasperformed by similarity search in NIST147 and Willey library. Pure chromatograms are in favor of quantitative analysis, which was obtained by total volume integration. Forty-two of seventy-five separated constituents in essential oil, accounting for 89.03% of the total content, were identified. The result proves the combined approaches to be powerful for the analysis of complex herbal samples.
机译:通过气相色谱-质谱法(GC-MS)测定中药(Artemisia capillaris herba)中的挥发性化学成分。所获得的二维数据通过相关化学计量学分辨率方法解析。原始数据中的噪声通过粗糙度惩罚平滑方法进行预处理。数据去噪后,异方差噪声和信噪比明显降低,有利于组分数的确定。可以方便地从通过固定大小的移动窗口演化因子分析(FSMWEFA)获得的等级图中提取选择范围。重叠的色谱峰解析为纯色谱图和具有不断发展的窗口正交投影(EWOP)的纯光谱。尽管原始数据的基本结构变化不大,但通过粗糙度罚分平滑方法降低了异方差噪声,可进一步提高解析纯光谱的纯度。在NIST147和Willey库中通过相似性搜索进行定性分析。纯色谱图有利于定量分析,这是通过总体积积分获得的。确定了精油中75种分离成分中的42种,占总含量的89.03%。结果证明了组合方法对于复杂草药样品的分析是强大的。

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