Study of geographical origin for Cinnamomum kanehirai by the carbon stable isotope analysis of essential oil components

• Main Authors: Yu-Tien Tsou, 鄒雨恬
• Other Authors: Chiou-Herr Yang
• Format: Others
• Language: zh-TW
• Published: 1020
• Online Access: http://ndltd.ncl.edu.tw/handle/6xp2rb

碩士 === 中央警察大學 === 鑑識科學研究所 === 101 === Antrodia camphorata is a valuable medicinal fungus, proven to have anti-cancer, anti-oxidant activity, and other medical effects. It only parasites in the trunk of Cinnamomum kanehirai. To get the rare woods and fungus, Cinnamomum kanehirai becomes the target of illegal logging. Therefore, investigation of the geographical origins of Cinnamomum kanehirai is an important forensic topic in Tawan. The environment and climate caused the isotope fractionation in nature substances. Even though there are the same compositions, the stable isotope ratios are diverse because of the different origins. The aim of this study is to understand the diversity of the carbon isotope ratio(δ13C) in Cinnamomum kanehirai from different origins and the feasibility of identifying the origins by theδ13C analysis. Seven Cinnamomum kanehirai samples and two samples from one non- Cinnamomum kanehirai tree were collected from different geographical origins, and the essential oils from the center, middle and outer sites of the woods were extracted by using organic solvents. The GC-IRMS technique was used to determine the composition and theδ13C of the selected 18 components in the essential oil. The IRMS results revealed that the essential oil compositions are close at the three sites from a wood, but are variable from different woods. Seven woods can be divided to 5 groups by cluster analysis of essential oil compostion. Furthermore, the δ13C of each component from three sites of the same wood was shown to be different. However, the variability among the same wood is smaller than that among the different woods. We distinguished the wood samples by compostion and δ13C principle component analysis, the results shown that woods were differentiated more effectively by composition analysis than IRMS analysis. Therefore, we suggested that the wood samples is classified into several groups by compostion analysis, the specimen with similar composition then was analyzed by the δ13C data. From our data, we concluded that, Cinnamomum kanehirai from different origins can be discriminated effectively by combination of the essential oil composition and the carbon isotope ratio analysis. It may provid a potential method for investigating the geographical origins of Cinnamomum kanehirai.