A new mathematical model to quantify and characterize the response to pro- and anti-oxidants of the copper-induced oxidation of LDL assay. A tool for examination of potential preventive compounds and clinical risk prediction
- Author
- PRIETO, M. A1 ; VAZQUEZ, J. A1 ; MURADO, M. A1
[1] Research Marine Institute (IIM-CSIC), Group of Recycling and Valorization of Waste Materials (REVAL), Vigo, Galicia, Spain - Source
Food research international. 2014, Vol 66, pp 501-513, 13 p ; ref : 3/4 p
- ISSN
- 0963-9969
- Scientific domain
- Food science technology
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Coefficients to measure compound activity Copper-induced LDL oxidation assay Mathematical model Pro- and anti-oxidant effects Risk prediction
- Keyword (fr)
- Analyse quantitative Antioxydant Coefficient Cuivre Modèle mathématique Oxydation Prédiction Risque Elément minéral Métal lourd
- Keyword (en)
- Quantitative analysis Antioxidant Coefficient Copper Mathematical model Oxidation Prediction Risk Inorganic element Heavy metal
- Keyword (es)
- Análisis cuantitativo Antioxidante Coeficiente Cobre Modelo matemático Oxidación Predicción Riesgo Elemento inorgánico Metal pesado
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A35 Food industries
- Discipline
- Agrifood industries
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 29037258
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.foodres.2014.07.046 
https://dx.doi.org/10.1016/j.foodres.2014.07.046
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