Changchun Center of Mass Spectrometry, Changchun Institute of Applied Chemistry, Chinese Academic of Science, Changchun, 130022, PR China.
Anal Chim Acta. 2011 Nov 14;706(2):285-90. doi: 10.1016/j.aca.2011.07.013. Epub 2011 Jul 19.
Various kinds of Fructus schisandrae were studied by surface desorption atmospheric pressure chemical ionization mass spectrometry (DAPCI-MS) without any sample pretreatment. The volatile components in F. schisandrae were detected in the ambient environment and the analytical time for each sample was only 30s. F. schisandrae are produced mainly in 5 different geographical regions (Elunchun, Mudanjiang, Tonghua, Tieling and Shangluo), and they could be successfully differentiated according to their chemical markers by Principal Component Analysis (PCA). A total of 8 components which gave more contribution for PCA analysis were unambiguously identified by comparison of the MS(2) data of chemical markers to the data of reference compounds as reported in the literature. Similarly, wild grown and cultivatable species of F. schisandrae were well separated by the above-mentioned method. In addition, raw and processed cultivatable F. schisandrae (steamed by water, alcohol, vinegar, or honey, and fried by honey) were found to be clustered at different location, respectively. Furthermore, the clustered degree of differently processed products was correlated with their clinical effects. Our results demonstrated that DAPCI-MS in combination with PCA was a feasible technique for high-throughput differentiation of various kinds of F. schisandrae. It is also possible that DAPCI-MS could become a powerful technology in the studies of traditional Chinese medicine studies and in situ analysis of Chinese herbs.
采用表面解吸常压化学电离质谱(DAPCI-MS)技术,无需任何样品预处理,对各种五味子进行了研究。在环境气氛中检测到五味子中的挥发性成分,每个样品的分析时间仅为 30s。五味子主要产于 5 个不同的地理区域(额尔古纳、牡丹江、通化、铁岭和商洛),可以根据其化学标志物通过主成分分析(PCA)进行成功区分。通过将化学标志物的 MS(2)数据与文献中报道的参考化合物的数据进行比较,可明确鉴定出对 PCA 分析贡献更大的 8 种成分。同样,上述方法也能很好地区分野生和可栽培的五味子。此外,生的和加工的可栽培五味子(用水、酒精、醋或蜂蜜蒸制,用蜂蜜炒制)分别聚类在不同的位置。此外,不同加工产品的聚类程度与它们的临床效果相关。我们的结果表明,DAPCI-MS 结合 PCA 是一种高通量区分各种五味子的可行技术。DAPCI-MS 也可能成为中药研究和中草药原位分析的强大技术。