• 한국자원식물학회지
• /
• 제28권3호
• /
• pp.341-349
• /
• 2015

Magnoliae Flos (Sini in Korean) is one of the most important oriental medicinal plants. In the Korean Herbal Pharmacopeia, the bud of the all species in Manolia denudate and Manolia genus were regarded as the botanical sources for ‘Sini’. Most the dried bud of Manolia denudata, Manolia biondii and Manolia sprengeri were used as ‘Xin-yi’ in China. Therefore, the purpose of this study was to determine and compare the ‘Magnolia’ species, four species including Manolia denudata, M. biondii, M. liliiflora and M. Kobus were analysis of sequencing data revealed DNA polymorphisms. The based on tRNA coding leucine/phenylalanine (trnL-F) and NADH-plastoquinone oxidoreductase subunit 5 (ndhF) sequences in chloroplast DNA. For the identification of ‘Magnolia’ species, polymerase chain reaction (PCR) analysis of chloroplast DNA regions such as ndhF have proven an appropriate method. A single nucleotide polymorphism (SNP) has been identified between genuine “Sini” and their fraudulent and misuse. Specific PCR primers were designed from this polymorphic site within the sequence data, and were used to detect true plants via multiplex PCR.

• Bulletin of the Korean Chemical Society
• /
• 제30권5호
• /
• pp.1121-1126
• /
• 2009

This paper describes a pattern recognition method of Magnoliae flos based on a gas chromatographic/mass spectrometric (GC/MS) analysis of the essential oil components. The botanical drug is mainly comprised of the four magnolia species (M. denudata, M. biondii, M. kobus, and M. liliflora) in Korea, although some other species are also being dealt with the drug. The GC/MS separation of the volatile components, which was extracted by the simultaneous distillation and extraction (SDE), was performed on a carbowax column (supelcowax 10; 30 m{\time}0.25 mm{\time}0.25{\mu}m$) using temperature programming. Variance in the retention times for all peaks of interests was within RSD 2% for repeated analyses (n = 9). Of the 74 essential oil components identified from the magnolia species, approximately 10 major components, which is $\alpha$-pinene, $\beta$-pinene, sabinene, myrcene, d-limonene, eucarlyptol (1,8-cineol), $\gamma$-terpinene, p-cymene, linalool, $\alpha$-terpineol, were commonly present in the four species. For statistical analysis, the original dataset was reduced to the 13 variables by Fisher criterion and factor analysis (FA). The essential oil patterns were processed by means of the multivariate statistical analysis including hierarchical cluster analysis (HCA), principal component analysis (PCA) and discriminant analysis (DA). All samples were divided into four groups with three principal components by PCA and according to the plant origins by HCA. Thirty-three samples (23 training sets and 10 test samples to be assessed) were correctly classified into the four groups predicted by PCA. This method would provide a practical strategy for assessing the authenticity or quality of the well-known herbal drug, Magnoliae flos.