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沉香鉴别方法及特征性成分检测研究进展
引用本文:丁哲远,张文博,李海潮,卜小凡,仝莉,陆薇.沉香鉴别方法及特征性成分检测研究进展[J].世界林业研究,2017,30(5):56-61.
作者姓名:丁哲远  张文博  李海潮  卜小凡  仝莉  陆薇
作者单位:1.北京林业大学木质材料科学与应用教育部重点实验室, 北京 100083
基金项目:北京林业大学“国家级大学生创新创业训练计划”(201510022032)。
摘    要:为了开发更加快捷、精确的沉香鉴别与定量分析技术,从定性和定量2个方面介绍了自上世纪80年代以来沉香真伪及等级鉴别方法和技术发展,论述了各种沉香特征成分检测技术特点,指出现有鉴别分析技术的不足,从木材科学研究的视角对今后沉香定性及定量检测方法提出几点建议,旨在使国内研究者对当前沉香鉴别分析研究有一个概括性了解,为沉香质量标准的制定以及沉香资源的科学利用提供参考。

关 键 词:沉香    挥发油    鉴别方法    特征成分    定量分析    近红外光谱    质量控制
收稿时间:2017/3/13 0:00:00
修稿时间:2017/4/7 0:00:00

Research Advances in Identification Methods and of Characteristic Components Determination for Chinese Eaglewood
Ding Zheyuan,Zhang Wenbo,Li Haichao,Bu Xiaofan,Tong Li and Lu Wei.Research Advances in Identification Methods and of Characteristic Components Determination for Chinese Eaglewood[J].World Forestry Research,2017,30(5):56-61.
Authors:Ding Zheyuan  Zhang Wenbo  Li Haichao  Bu Xiaofan  Tong Li and Lu Wei
Institution:1.Ministry of Education Key Laboratory of Wooden Material Science and Application, Beijing Forestry University, Beijing 100083, China2.China National Information Center of Light Industry, Beijing 100833, China
Abstract:In order to develop faster and more accurate analytic technology to identify and quantify Chinese Eaglewood, this paper summarized the advancements of Chinese Eaglewood''s identification and quality classification methods and technologies adopted since the 1980s, discussed the technology features of different characteristic components determination methods and concluded the disadvantages of existing methods. It proposed several suggestions on quantitative and qualitative identification technology of Chinese Eaglewood, with the expectation to make the domestic researchers have a general understanding of current study of Chinese Eaglewood and to provide references for the quality standard development and scientific utilization of Chinese Eaglewood resources.
Keywords:Aquilaria sinensis (Lour  ) Gilg  volatile oil  identifying methods  characteristic component  quantitative evaluation  near-infrared spectrum  quality control
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