Literature DB >> 22708655

Mathematical model to predict the formation of pyropheophytin a in virgin olive oil during storage.

Ramón Aparicio-Ruiz1, María Roca, Beatriz Gandul-Rojas.   

Abstract

A mathematical model has been developed that describes the changes of pyropheophytin a (pyphya) in virgin olive oil (VOO). The model has been created using multivariate statistical procedures and is used in the prediction of the stability and loss of freshness of VOO. An earlier thermokinetic study (Aparicio-Ruiz, R.; Mı́nguez-Mosquera, M. I.; Gandul-Rojas, B. Thermal degradation kinetics of chlorophyll pigments in virgin olive oils. 1. Compounds of series a. J. Agric. Food Chem.2010, 58, 6200-6208) that looked at the characterization of the degradation of pheophytin a (phya), the main chlorophyll compound in VOO and a precursor of pyphya, allowed the authors to obtain the kinetic parameters necessary for mathematically expressing the percentage of pyphya, according to the time and temperature of storage using the Arrhenius model. Data regarding the percentage of pyphya obtained during the actual degradation of VOO in darkness, at room temperature and with a limited supply of oxygen, has allowed the mathematical prediction model to be validated. Using average monthly temperatures in the calculation of kinetic constants, theoretical data are obtained that are generally found to be within 95% confidence levels of experimental data.

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Year:  2012        PMID: 22708655     DOI: 10.1021/jf3010965

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  2 in total

1.  Monitoring Virgin Olive Oil Shelf-Life by Fluorescence Spectroscopy and Sensory Characteristics: A Multidimensional Study Carried Out under Simulated Market Conditions.

Authors:  Ana Lobo-Prieto; Noelia Tena; Ramón Aparicio-Ruiz; Diego L García-González; Ewa Sikorska
Journal:  Foods       Date:  2020-12-11

2.  Temperature Dependence of Oxidation Kinetics of Extra Virgin Olive Oil (EVOO) and Shelf-Life Prediction.

Authors:  Lanfranco Conte; Andrea Milani; Sonia Calligaris; Pierangela Rovellini; Paolo Lucci; Maria Cristina Nicoli
Journal:  Foods       Date:  2020-03-05
  2 in total

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