Use of ion mobility mass spectrometry to enhance cumulative analytical specificity and separation to profile 6-C/8-C-glycosylflavone critical isomer pairs and known-unknowns in medicinal plants.

INTRODUCTION

Plant medicine/herbal extracts are typically complex, encompassing a wide range of flavonoid diversity and biological benefits. Combined with a lack of standards; species authentication profiling is a challenge. A non-targeted screening strategy using two-dimensional (2D) separation and specificity of ultra-high-performance liquid chromatography ion mobility collision-induced dissociation mass spectrometry (UHPLC-IM-CID-MS) has been investigated, to identify the 6-C and 8-C-glycosylflavone isomer orientin/isoorientin and vitexin/isovitexin pairs in Passiflora species. Utilising available standards and "known-unknowns" a reference CCS (collision cross-section) speciation finger print for Passiflora extracts could be generated to illustrate species profiling.

MATERIAL AND METHODS

SPE was performed to extract flavonoids of interest from powdered and ground Passiflora leaf. Chromatographic separation was achieved via UHPLC and analysis performed using positive/negative ion electrospray coupled with linear T-wave IM-MS (calibrated to perform accurate mass and CCS measurements).

RESULTS

Comparative phytochemical screening of Passiflora alata, P. edulis, P. incarnata and P. caerulea leaf extracts has generated CCS, CID IM product ion spectra, 2D separation with UHPLC-IM-MS, enabling the unequivocal identification of flavone C-glycosides in complex extracts. A phytochemical reference CCS library was generated comprised of "knowns" and "known-unknowns". Isomers have been differentiated using a CCS metric enabling novel CCS specific isomeric quantitation of co-eluting isomers.

CONCLUSIONS

The screening approach illustrated has the potential to play an important role in the profiling of medicinal plants to determine phytochemical make-up and improve consumer safety through generation of highly specific speciation profiles.