UNIGE document Scientific Article
previous document  unige:85601  next document
add to browser collection
Title

Statistical Correlations between HPLC Activity-Based Profiling Results and NMR/MS Microfraction Data to Deconvolute Bioactive Compounds in Mixtures

Authors
Published in Molecules. 2016, vol. 21, p. 259
Abstract Recent approaches in natural product (NP) research are leading toward the discovery of bioactive chemical entities at the microgram level. In comparison to classical large scale bioassay-guided fractionation, the use of LC-MS metabolite profiling in combination with microfractionation for both bioactivity profiling and NMR analysis, allows the identification of bioactive compounds at a very early stage. In that context, this study aims to assess the potential of statistic correlation analysis to enable unambiguous identification of features related to bioactive compounds in mixtures, without the need for complete isolation. For that purpose, a mixture of NPs was microfractionated by rapid small-scale semi-preparative HPLC for proof-of-concept. UHPLC-ESI-TOFMS profiles, micro-flow CapNMR spectra and a cancer chemopreventive assay carried out on every microfraction were analysed by statistical correlations.
Keywords MicrofractionationBiological profilingCorrelation analysisQuinone reductase inductionMetabolomics
Identifiers
Full text
Article (Published version) (1.5 MB) - public document Free access
Structures
Citation
(ISO format)
BERTRAND, Samuel et al. Statistical Correlations between HPLC Activity-Based Profiling Results and NMR/MS Microfraction Data to Deconvolute Bioactive Compounds in Mixtures. In: Molecules, 2016, vol. 21, p. 259. https://archive-ouverte.unige.ch/unige:85601

96 hits

24 downloads

Update

Deposited on : 2016-08-02

Export document
Format :
Citation style :