傅里叶自解卷积-红外光谱分析法应用于中药天麻的鉴别研究  被引量:10

Study on Identification of Gastrodia Elata Bl. by Fourier Self-Deconvolution Infrared Spectroscopy

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作  者:成则丰[1] 徐锐[2] 程存归[1] 

机构地区:[1]浙江师范大学化学与生命科学学院,浙江金华321004 [2]河南科技大学化工学院,河南洛阳471000

出  处:《光谱学与光谱分析》2007年第9期1719-1722,共4页Spectroscopy and Spectral Analysis

基  金:浙江省自然科学基金项目(301468)资助

摘  要:采用水平衰减全反射-傅里叶变换红外光谱法(HATR-FTIR)对不同产地的野生及种植天麻与伪品芭蕉芋、芋及马铃薯进行了测定,并通过傅里叶自解卷积(FSD)进行了转换。在各种带宽因子及增强因子下对真伪品傅里叶自解卷积红外光谱的差异程度进行了分析研究,结果发现带宽因子在75.0-76.0,增强因子为3.2时,天麻与伪品的FSD-IR的差异程度最为明显。结果表明,尽管从FTIR中很难发现野生及种植天麻、无性繁殖及有性繁殖天麻之间的差异,但从FSD-IR中可以看出他们之间的差异。而天麻正品与伪品之间的FSD-IR差别也较大。因此该法可简便、快速、准确地识别不同的天麻及其伪品。In the present article the FTIR spectra of the wild and planting Gastrodia elata Bl.from different habitats and its confusable varieties such as Canna edulis Ker-Gawl,Colocasia esculenta(L.) Schott and Solanum tuberosum L.were obtained by horizontal attenuated total reflection infrared spectroscopy(HATR-FTIR),and were all transformed by Fourier self-deconvolution.The authors investigated the discrepancy extent of Fourier self-deconvolution of Gastrodia elata Bl and confusable varieties under various bandwidth and enhancement, and found that the discrepancy extent of Gastrodia elata Bl and confusable varieties was the most obvious when the bandwidth was between 75.0 and 76.0 and enhancement was 3.2.By adopting Fourier self-deconvolution infrared spectroscopy(FSD-IR) analytical method the samples were studied in detail.The results showed that we could find out the difference among them by means of Fourier self-deconvolution infrared spectroscopy,although it was very difficult to find out the difference in FSD-IR spectra of wild and planting Gastrodia elata Bl.,and asexual reproduction and sexual reproduction Gastrodia elata Bl. The difference in FSD-IR spectra between Gastrodia elata Bl.and its confusable varieties is also very great.Therefore,this method can be used to recognize different Gastrodia elata Bl.and its confusable varieties simply, rapidly and accurately.

关 键 词:水平衰减全反射-傅里叶变换红外光谱法 傅里叶自解卷积 天麻 伪品 鉴别 

分 类 号:O657.3[理学—分析化学]

 

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