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1.
Chem Biodivers ; 10(11): 2042-52, 2013 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-24243613

RESUMO

The essential oils obtained by hydrodistillation of Geranium purpureum and G. phaeum were characterized by GC-FID and GC/MS analyses (the former for the first time in general). In total, 154 constituents were identified, accounting for 89.0-95.8% of the detected GC peak areas. The investigated essential oils consisted mainly of fatty acids and fatty-acid-derived compounds (45.4-81.3%), with hexadecanoic acid and (E)-phytol as the major components. The chemotaxonomic significance of the variations in the essential-oil composition/production of the presently and previously investigated Geranium and highly related Erodium taxa from Serbia and Macedonia was assessed by multivariate statistical analyses. The main conclusions drawn from the high chemical similarity of the two genera, visible from the obtained dendrograms and biplots, confirm the close phylogenetic relationship between the investigated Geranium and Erodium taxa, i.e., that there is no great intergeneric oil-composition variability. Changes in the composition and production of essential oils of the herein investigated taxa and 60 other randomly chosen species belonging to different plant genera were also statistically analyzed. The results put forward pro arguments for the oil-yield-oil-composition correlation hypothesis.


Assuntos
Geraniaceae/química , Óleos Voláteis/análise , Óleos de Plantas/análise , Cromatografia Gasosa-Espectrometria de Massas , Geraniaceae/classificação , Geraniaceae/genética , Geranium/química , Geranium/classificação , Geranium/genética , Análise Multivariada , Filogenia
2.
Guang Pu Xue Yu Guang Pu Fen Xi ; 33(2): 371-5, 2013 Feb.
Artigo em Chinês | MEDLINE | ID: mdl-23697114

RESUMO

A fast identification method of eleven genera of Chinese herbs in Geraniaceae was developed by the combination of Fourier transform infrared spectroscopy with clustering analysis. FTIR spectroscopy was employed to identify and analyze eleven genera of Chinese herbs in Geraniaceae. On the basis of a principal component analysis (PCA) model, three genera of Chinese herbs were rapidly classified by using the method of SIMCA clustering analysis. These samples could be successfully classified by SIMCA. Recognition rate and rejection rate reached up to 98%. The accuracy of clustering reached up to 91% during blind sample testing. It is concluded that in combination with clustering analysis, FTIR method provides an effective way to rapidly evaluate Chinese herbs in Geraniaceae.


Assuntos
Geraniaceae/química , Geraniaceae/classificação , Espectroscopia de Infravermelho com Transformada de Fourier/métodos , Análise por Conglomerados , Análise de Componente Principal
3.
Zhongguo Zhong Yao Za Zhi ; 35(15): 1935-8, 2010 Aug.
Artigo em Chinês | MEDLINE | ID: mdl-20931840

RESUMO

OBJECTIVE: To explore the characteristics of inorganic elements in Erodium stephanianum. METHOD: The content of elements such as Li, B, Na, Mg, Al, Si, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, Ga, Br, Rb, Sr, Ba, La, Ce and Rb in ten E. stephanianum samples were determined by means of ICP/MS. The results were used for the development of element distribution diagram. The principal component analysis of SPSS and Q-type cluster analysis were applied for the study of characteristic elements in E. stephanianum. RESULT: Five principal components which accounted for over 91% of the total variance were extracted from the original data. The analysis results showed that Al, Ti, V, Fe, La, Ce, Li, Ga and Ba may be the characteristic elements in E. stephanianum; The results of Q-type cluster analysis showed that the samples could be clustered reasonably into two groups, and the elemental distribution characteristics were related to the ecology and origins of E. stephanianum. CONCLUSION: The principal component analysis and Q-type cluster analysis could be used in data processing in inorganic elements.


Assuntos
Geraniaceae/química , Extratos Vegetais/análise , Oligoelementos/análise , China , Geraniaceae/classificação , Análise de Componente Principal , Controle de Qualidade
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