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Comparative authentication of three "snow lotus" herbs by macroscopic and microscopic features.
Chen, Qilei; Yi, Tao; Tang, Yina; Wong, Lai Lai; Huang, Xiaoxuan; Zhao, Zhongzhen; Chen, Hubiao.
Afiliação
  • Chen Q; School of Chinese Medicine, Hong Kong Baptist University, Kowloon Tong, Hong Kong Special Administrative Region, People's Republic of China.
Microsc Res Tech ; 77(8): 631-41, 2014 Aug.
Article em En | MEDLINE | ID: mdl-24841997
ABSTRACT
"Snow lotus" is a famous Chinese Materia Medica derived from species of the genus Saussurea (Compositae). To differentiate three representative easily-confused snow lotus herbs, namely, Saussurea involucrata (Kar. et Kir.) Sch.-Bip, Saussurea laniceps Hand.-Mazz., and Saussurea medusa Maxim., macroscopic features of the three herbs were systemically observed, and microscopic features were compared by using ordinary light microscopy, polarized light microscopy and scanning electron microscopy (SEM). The results indicate that, as for macroscopic identification, capitula situation and arrangement, and as for microscopic identification, pollen grains, nonglandular hairs, glandular hairs, and cells of inner surface of the microdiodange can be used to authenticate the three snow lotus herbs. Comprehensive table comparing the characteristics were presented in this study. SEM has been found to provide a number of unique characteristics of pollen grains. Based on the observation of pollen grains, evolution sequence of the three species was speculated. The present method was proven to be efficient, convenient, simple, and reliable, which was successfully applied to the authentication of three snow lotus herbs.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas Medicinais / Asteraceae Tipo de estudo: Prognostic_studies Idioma: En Revista: Microsc Res Tech Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas Medicinais / Asteraceae Tipo de estudo: Prognostic_studies Idioma: En Revista: Microsc Res Tech Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2014 Tipo de documento: Article