Next Article in Journal
New Bufadienolides Isolated from the Roots of Kalanchoe daigremontiana (Crassulaceae)
Next Article in Special Issue
Production of Fusaric Acid by Fusarium spp. in Pure Culture and in Solid Medium Co-Cultures
Previous Article in Journal
Exotic Vegetable Oils for Cosmetic O/W Nanoemulsions: In Vivo Evaluation
Previous Article in Special Issue
Multicomponent Analysis of the Differential Induction of Secondary Metabolite Profiles in Fungal Endophytes
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Molecules 2016, 21(3), 259; doi:10.3390/molecules21030259

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

1
School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, Quai Ernest-Ansermet 30, CH-1211 Geneva 4, Switzerland
2
Groupe Mer, Molécules, Santé-EA 2160, UFR des Sciences Pharmaceutiques et Biologiques, Université de Nantes, 9 Rue Bias, BP 53508, F-44035 Nantes, France
*
Author to whom correspondence should be addressed.
Academic Editors: Derek J. McPhee and Maria Halabalaki
Received: 25 November 2015 / Revised: 18 January 2016 / Accepted: 25 January 2016 / Published: 24 February 2016
(This article belongs to the Special Issue Applications of Metabolomics within Natural Products Chemistry)
View Full-Text   |   Download PDF [1540 KB, uploaded 24 February 2016]   |  

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. View Full-Text
Keywords: microfractionation; biological profiling; correlation analysis; quinone reductase induction; metabolomics microfractionation; biological profiling; correlation analysis; quinone reductase induction; metabolomics
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary material

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Bertrand, S.; Azzollini, A.; Nievergelt, A.; Boccard, J.; Rudaz, S.; Cuendet, M.; Wolfender, J.-L. Statistical Correlations between HPLC Activity-Based Profiling Results and NMR/MS Microfraction Data to Deconvolute Bioactive Compounds in Mixtures. Molecules 2016, 21, 259.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]

Molecules EISSN 1420-3049 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top