A simple method for Chinese herbal medicine recognition

• Main Authors: Wan-Chen Chiang, 江婉甄
• Other Authors: 周志輝
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/77559940786555732755

碩士 === 國立中興大學 === 食品暨應用生物科技學系所 === 98 === The present study attempted to recognize 30 selected Chinese herbal medicine samples, including Mentha arvensis, Amomum villosum Lour., Millettia reticulata Benth, Andrographis paniculata (Burm. f.) Nees, Coix lacryma-jobi Linn., Pinellia ternata (Thunb.) Breit., Ziziphus jujuba Mill var. Spinosa (Bunge) Hu ex H. F. Chow, Corydalis bulbosa D.C., Prunus armeniaca L., Fritillaria thunbergii Miq., Ginkgo biloba Linn, Atractylodes macrocephala Koidz., Siler divaricatum Benth et Hook., Codonopsis pilosula (Franch.) Nannf., Scrophularia oldhami Oliv., Salvia miltiorrhiza Bge., Eucommia ulmoides Oliv., Curcuma phaeaulis Valeton, Pueraria lobata (Willd.) Ohwi, Astragalus membranaceus Fisch., Citrus reticulata Blanco, Scutellaria baicalensis Georgi, Poria Cocos (Schw.) Wolf, Rheum officinale Baill., Ephedra sinica Stapf., Paeonia lactiflora Pall., Bupleurum chinense, Forsythia suspensa (Thunb.) Vahl, Ligusticum chuanxiong Hort, and Cinnamomum cassia Blume. These herbal samples were extracted with hot water and 95% of ethanol. The extracts were analyzed (i.e. spectrophotometric scanning, iodine analysis, pH values, antioxidant capacity, titratable acidity, electrical conductivity) and computed by the principle component analysis (PCA). The results from different analytical methods have proposed the characteristics of different samples. The recognition results showed that 30 herbal samples could be recognized correctly. This protocol could also be used to recognize the other samples collected from different sources. Overall, the results from this study showed its potential in the development of a rapid recognition for different herbal materials.