State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, PR China.
Talanta. 2010 Apr 15;81(1-2):129-35. doi: 10.1016/j.talanta.2009.11.047. Epub 2009 Nov 24.
A fingerprinting approach was developed by means of gas chromatography-mass spectrometry (GC-MS) and IR spectroscopy for quality control of Portulaca oleracea L., a traditional Chinese food and medicine that has been used for thousands of years in China. Eleven P. oleracea L. samples obtained from different sources were used to establish the fingerprints, and the similarity evaluation and hierarchical cluster analysis were performed to evaluate the similarity and variation of these samples. The results showed that the 11 samples all have the similarity of greater than 0.84, indicating that the samples from different sources were consistent to great extent. The cluster analysis results of GC-MS and IR spectra were similar, and 11 samples from five provinces of China were divided into two main clusters: one was from North China and another from South China. It proved that both GC-MS fingerprint and IR spectral fingerprint could be used for the identification and differentiation of P. oleracea L. from different sources.
建立了一种基于气相色谱-质谱联用技术（GC-MS）和红外光谱法的指纹图谱分析方法，用于控制马齿苋的质量。马齿苋是一种传统的中医疗法，在中国已经使用了数千年。本研究采用 GC-MS 和 IR 光谱法对 11 个来自不同来源的马齿苋样本进行了指纹图谱的建立，并进行了相似度评价和层次聚类分析，以评估这些样本的相似性和变异性。结果表明，11 个样本的相似度均大于 0.84，表明不同来源的样品在很大程度上是一致的。GC-MS 指纹图谱和红外光谱图谱的聚类分析结果相似，来自中国五个省份的 11 个样品被分为两个主要聚类：一个来自华北，另一个来自华南。这证明了 GC-MS 指纹图谱和红外光谱指纹图谱都可以用于不同来源的马齿苋的鉴定和区分。
