光谱学与光谱分析, 2012, 32 (4): 925, 网络出版: 2012-04-16   

基于主根横断面近红外光谱的西洋参和人参鉴别研究

Research on Identification of American Ginseng and Panax Ginseng by Near Infrared Spectra of Samples’ Cross Section
作者单位
1 中国农业大学食品科学与营养工程学院, 北京100083
2 河南工业大学粮油食品学院, 河南 郑州450052
3 Afexa Life Sciences Inc. Edmonton, T6N1G1, Canada
摘要
为了快速准确进行西洋参和人参的品种鉴别, 从主根横断面入手, 采集其横断面的近红外光谱, 分别从物理结构因素和化学因素方面对光谱进行了分析, 选定特定波段进行物理因素主导建模、 化学因素主导建模、 理化因素综合建模, 并对三种建模结果进行比较分析, 发现三种模型判别率都在96%以上, 都能很好的满足批量原材料快速检测的需求。 物理因素模型运算简单, 但判别率相对低。 化学因素判别率较高, 但运算量大。 理化因素综合模型判别率最高为100%, 无需预处理, 运算量小, 效果最理想, 该结果说明近红外定性判别中物理结构因素有时也发挥重要作用。 横断面鉴别法准确、 便捷, 可实际应用于企业原料药材的质量控制, 实现对原料药材的快速筛查。
Abstract
In order to identify American ginseng and panax ginseng samples accurately and rapidly, the authors acquired the NIR spectra of the samples’ cross-sections. Then the spectra were respectively analyzed according to the samples’ physical structure factors and chemical factors. The authors selected appropriate bands and built a physical factor leading model, a chemical factors leading model as well as a comprehensive factor model. The authors found that all the three models’ discriminant rates were above 96 percents, which can meet the needs of the rapid detection of raw Chinese medicinal crop materials. While the physical factors model had a simple operation, the discriminant rate was relatively low. The chemical factors model’ discriminant rate was higher, but the computation is much more complex. Among the three models, the mixed factor model had the best result with the highest discrimination rate (100 percents) and a smaller number of principal components (4). The effect was the most ideal. It proved that physical factors play an important part in NIR modeling. The cross section method is accurate and convenient which can be used in the quality control in enterprise, realizing the rapid screening of the medicine raw materials.

王灵灵, 黄亚伟, 戚淑叶, Jacqueline J SHAN, Lei LING, 韩东海. 基于主根横断面近红外光谱的西洋参和人参鉴别研究[J]. 光谱学与光谱分析, 2012, 32(4): 925. WANG Ling-ling, HUANG Ya-wei, QI Shu-ye, Jacqueline J SHAN, Lei LING, HAN Dong-hai. Research on Identification of American Ginseng and Panax Ginseng by Near Infrared Spectra of Samples’ Cross Section[J]. Spectroscopy and Spectral Analysis, 2012, 32(4): 925.

本文已被 1 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!