2012
DOI: 10.1002/rcm.6470
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Electrospray ionization tandem mass spectrometry of isomeric iridoid glucoside dimers

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Cited by 3 publications
(3 citation statements)
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“…Chemical characterization was performed in part by the sensitive and efficient technique of mass spectrometry. Tandem MS analysis has been employed for structural elucidation and/or confirmation of natural products including iridoid glycosides (IGs). , In this study, six new T. polium metabolites were characterized by a combination of NMR and MS data analyses, and in the case where isomers could not be separated, characterization was based solely on LC-MS/MS analysis.…”
mentioning
confidence: 99%
“…Chemical characterization was performed in part by the sensitive and efficient technique of mass spectrometry. Tandem MS analysis has been employed for structural elucidation and/or confirmation of natural products including iridoid glycosides (IGs). , In this study, six new T. polium metabolites were characterized by a combination of NMR and MS data analyses, and in the case where isomers could not be separated, characterization was based solely on LC-MS/MS analysis.…”
mentioning
confidence: 99%
“…Mass spectrometry (MS) has been an important physicochemical method for the identification of trace natural products in extracts due to its rapidity, sensitivity, and low levels of sample consumption. A series of iridoid glucosides was studied by ESI–MS/MS (Es‐Safi et al ., ; Ren et al ., ; Zhou et al ., ; Li et al ., ; Cao et al ., ; Lu et al ., ). In this study, HPLC–ESI–MS/MS was applied for the phytochemical analysis of the extract of Paederia scandens .…”
Section: Introductionmentioning
confidence: 97%
“…In recent years, HPLC coupled with quadrupole time-of-flight (QTOF) MS/MS has become an increasingly powerful tool for identifying complicated components in herbal medicines (Zhang et al, 2012a). Moreover, mass spectrometry (MS) is a widely applied method for the identification of trace natural products because it is rapid, sensitive and requires small amounts of sample (Lu et al, 2012).…”
Section: Introductionmentioning
confidence: 99%