期刊論文

學年 108
學期 2
出版(發表)日期 2020-06-27
作品名稱 The Chemical Aspects of Raman Spectroscopy: Statistical Structure-Spectrum Relationship in The Analyses of Flavonoids
作品名稱(其他語言)
著者 Chih-Hsien Wang; Chia-Chi Huang; Wenlung Chen; Yen-Shi Lai
單位
出版者
著錄名稱、卷期、頁數 Journal of Food and Drug Analysis 28(2), p.239-247
摘要 Raman spectroscopy has been accepted as a useful tool for the characterization of natural products. However, to identify a specific compound in a mixture sample of natural products using Raman spectra alone is highly challenging if not impossible. We demonstrated an effective solution to such issues using a method combining statistical Raman spectroscopy and Mass spectrometry. The method was validated with a successful application to the identification of the major anthocyanin components in a purple yam (Dioscorea purpurea) extract. Of particular interest is that statistical grouping of the bioflavonoid standards that formed the database of this study was found to correspond closely to the conventional chemical classification. An initial theory on the chemical aspects of Raman spectroscopy pertaining to the connectivity of Raman-active functional groups in bioflavonoids was developed based on the statistical correlation between chemical classification and Raman spectroscopy.
關鍵字
語言 zh_TW
ISSN
期刊性質 國內
收錄於 SCI
產學合作
通訊作者
審稿制度
國別 TWN
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/120068 )