Abstract:
:A novel, efficient, and accurate fingerprinting method using high performance liquid chromatography-photodiode array detection has been developed and optimized for the investigation and demonstration of the variance in chemical properties among Siraitia grosvenorii fruits from different origins. The effects of growth stages, cultivated varieties, collection locations, and fruit portions of the herb on chromatographic fingerprints were examined. Eleven compounds were identified on chromatograms by comparing the retention time and UV spectrum of each peak separately with those of external references. The results revealed that chromatographic fingerprints, combining similarity or hierarchical clustering analysis along with reference compounds, could efficiently identify and distinguish S. grosvenorii fruits from different sources, which provided helpful clues for studying the plants' secondary metabolites and benefitted quality control.
journal_name
J Nat Medjournal_title
Journal of natural medicinesauthors
Lu F,Li D,Fu C,Liu J,Huang Y,Chen Y,Wen Y,Nohara Tdoi
10.1007/s11418-011-0555-5subject
Has Abstractpub_date
2012-01-01 00:00:00pages
70-6issue
1eissn
1340-3443issn
1861-0293journal_volume
66pub_type
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