Journal of Chromatography & Separation Techniques

Journal of Chromatography & Separation Techniques
Open Access

ISSN: 2157-7064

+44 1300 500008

Characterization of 2,3-diarylxanthones by electrospray mass spectrometry: Gas phase chemistry versus known antioxidant activity properties


International Summit on Current Trends in Mass Spectrometry

July 13-15, 2015 New Orleans, USA

Eduarda M P Silva

Posters-Accepted Abstracts: J Chromatogr Sep Tech

Abstract :

Xanthones (XH) are a class of heterocyclic compounds widely distributed in nature holding numerous noteworthy biological and antioxidant activities. Therefore, it is important to achieve the utmost detailed structural information relevant to understand and predict their biological properties. In these studies we aimed to explore the potential relationship between radicalmediated xanthone chemistry in the gas phase and their antioxidant activities. The mass spectral fragmentation behavior of nine 2,3-diarylxanthones bearing up to four hydroxyl groups at various sites on the two aryl rings was surveyed using electrospray ionization tandem mass spectrometry. Protonated XH were generated in the gas phase by electrospray ionization (ESI) and the main fragmentation pathways of the protonated XH formed due to collision-induced dissociation (CID) were investigated. In the CID-MS/MS spectra of [M+H]+ ions of six of the studied xanthones, showing a most promising biological profile, the product ion produced with the highest relative abundance (RA) corresponded to the one formed through concomitant loss of H2O plus CO.The product ion formed by loss of 64 Da (concomitant loss of two molecules of H2O plus CO) is only observed for xanthones containing a catechol unit. This product ion has the highest RA for the most potent scavenger of reactive oxygen and nitrogen species containing two catechol moieties. Through this studies a strong relationship between some of the biological activities of the studied 2,3-diarylxhantones and their ESI-MS/MS fragmentation spectra was found. The multivariate statistical analysis results suggest that the selected MS features are related to the important biological features.

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