Journal article
Statistical modelling coupled with LC-MS analysis to predict human upper intestinal absorption of phytochemical mixtures
SNB Selby-Pham, KS Howell, FR Dunshea, J Ludbey, A Lutz, L Bennett
Food Chemistry | ELSEVIER SCI LTD | Published : 2018
Abstract
A diet rich in phytochemicals confers benefits for health by reducing the risk of chronic diseases via regulation of oxidative stress and inflammation (OSI). For optimal protective bio-efficacy, the time required for phytochemicals and their metabolites to reach maximal plasma concentrations (Tmax) should be synchronised with the time of increased OSI. A statistical model has been reported to predict Tmax of individual phytochemicals based on molecular mass and lipophilicity. We report the application of the model for predicting the absorption profile of an uncharacterised phytochemical mixture, herein referred to as the ‘functional fingerprint’. First, chemical profiles of phytochemical ext..
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Funding Acknowledgements
This project has been funded by Horticulture Innovation Australia Limited using the Vegetable levy and funds from the Australian Government. Metabolite analysis was conducted at Metabolomics Australia (The University of Melbourne, Australia), a NCRIS initiative under Bioplatforms Australia Pty Ltd.