摘要
目的：应用近红外光谱技术结合化学计量学方法建立浙贝母鲜切和硫熏加工饮片的快速鉴别模型。方法：从浙贝母两个主产地宁波和磐安收集186批鲜切和硫熏样品,采集近红外光谱图,采用判别分析法建立其定性鉴别模型。结果：选择谱段为9 881.46-4 119.20 cm-1,采用MSC＋spectrum＋Ns组合对原始光谱进行预处理,建立模型,并经预测集验证,鉴别准确率达到100%。结论：所建立的近红外光谱技术鉴别模型可快速、准确鉴别浙贝母鲜切和硫熏样品。
Objective： A rapid identification model of the fresh-cut and sulphur fumigation processed Fritillaria thunbergii bulb slices was developed by near-infrared spectroscopy（NIR） with chemometrics method. Methods： 186 batches of Fritillaria thunbergii bulb slices were collected from the two main producing areas Ningbo and Pan＇an in Zhejiang Province,and the near-infrared spectrums were gathered to establish the qualitative identification model by discriminant analysis. Results： The identification model was developed by choosing the spectrum of 9 881. 46 - 4 119. 20 cm- 1and ＂MSC ＋ spectrum ＋ Ns ＂to the original spectral preprocessing,and then was verified by prediction set,with 100% identify accuracy. Conclusion： The rapid identification model of the fresh-cut and sulphur fumigation processed Fritillaria thunbergii bulb slices by NIR is feasible and efficient.
出处
《中药材》
CAS
CSCD
北大核心
2014年第12期2189-2191,共3页
Journal of Chinese Medicinal Materials
基金
国家科技部"十二五"科技支撑计划(2011BAI04B06)
浙江省中医药科学研究基金计划(2012ZB032
2013ZA027)
浙江省教育厅科研计划(Y201224449)
浙江省中药现代化专项(浙经信医化[2012]237号)
丽水市科技计划项目(20120301)
关键词
近红外光谱
浙贝母
鲜切
硫熏
鉴别
判别分析
Near-infrared spectroscopy
Fritillaria thunbergii Miq.
Fresh-cut
Sulphur fumigation
Identification
Discriminant analysis
