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Application of artificial neural networks to the prediction of the antioxidant activity of essential oils in two experimental in vitro models

Cabrera, AC; Prieto, JM; (2010) Application of artificial neural networks to the prediction of the antioxidant activity of essential oils in two experimental in vitro models. FOOD CHEMISTRY , 118 (1) pp. 141-146. 10.1016/j.foodchem.2009.04.070.

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Type: Article
Title: Application of artificial neural networks to the prediction of the antioxidant activity of essential oils in two experimental in vitro models
DOI: 10.1016/j.foodchem.2009.04.070
Keywords: Science & Technology, Physical Sciences, Life Sciences & Biomedicine, Chemistry, Applied, Food Science & Technology, Nutrition & Dietetics, Chemistry, Artificial neural networks, Essential oils, Antioxidant activity, DPPH, Linoleic acid, Chemometrics, CHEMICAL-COMPOSITION, METHANOL EXTRACTS, OFFICINALIS L., LAMIACEAE, TURKEY, PARTS
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > UCL School of Pharmacy
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > UCL School of Pharmacy > SoP Pharmaceutical and Bio Chemistry
URI: http://discovery.ucl.ac.uk/id/eprint/1350668
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