@misc{10481/82420,
year = {2023},
month = {4},
url = {https://hdl.handle.net/10481/82420},
abstract = {Modelling quality depletion of oils and establishing their shelf life (or ageing rate) remains a challenge for food
industry. A persistent issue in the control of lipid oxidation is deciding which oxidation products are the most
suitable to be monitored. Several attempts have been done in this regard, however, the number of parameters
that can be considered to assess oil shelf life is excessively wide and the proposed univariate models have proven
to be extremely dependent on experimental conditions. For this reason, the methodology for carrying out a
multivariate kinetic model is presented, combining physico-chemical and sensory parameters from experimental
analytical determinations, and chemometric data processing tools. The main objective is to develop a multivariate
shelf life model that allow predicting the number of months in which an extra virgin olive oil complies
with the requirements of its commercial category when ageing takes place under standard trading conditions},
organization = {The European Regional
Development Fund (ERDF)},
organization = {Ministry of Science and Technology within the framework of the funding corresponding to ’Retos-
Colaboraci´on’ (Challenges-Collaboration Program) call of the State
Program for Research, Development and Innovation Focussed to Challenges
of Society [RTC-2017-6170-2].},
organization = {Ministry of Universities for
the Training of University Teachers (FPU 19/02078).},
organization = {University of Granada / CBUA.},
publisher = {Elsevier},
keywords = {Multivariate deterioration monitoring},
keywords = {Multiparametric-kinetic studies},
keywords = {Chemometrics},
keywords = {Shelf life},
keywords = {Quality and stability indices},
keywords = {Extra virgin olive oil},
title = {Multivariate stability monitoring and shelf life models of deterioration of vegetable oils under real time ageing conditions – Extra virgin olive oil as a main case of study},
doi = {10.1016/j.fpsl.2023.101070},
author = {Martín Torres, Sandra and González Casado, Antonio and Cuadros Rodríguez, Luis},
}