Literature DB >> 30771920

Use of whole electrophoretic profile and chemometric tools for the differentiation of three olive oil qualities.

Natalia Arroyo-Manzanares1, Franziska Gabriel2, Azahara Carpio2, Lourdes Arce3.   

Abstract

Olive oil is a liquid fat obtained from olives (the fruit of Olea europea). It is one of the most important ingredients of the Mediterranean diet, due to its health benefits. Depending on its quality, olive oil can be classified as extra virgin (EVOO), virgin (VOO) and lampante (LOO). Currently, an official method defines the quality parameters of the different categories of olive oil using different analytical techniques and a sensory analysis through a Panel Test. However, the evaluation of olive oil quality by tasting panels has some drawbacks, such as the subjectivity of the analysis and the lack of panels accredited outside Spain. For this reason, fast, simple and reliable analytical methods, which can differentiate the categories of olive oil are needed. In this work, the potential of a method using capillary electrophoresis (CE) with ultraviolet (UV) detection as an additional method to the ones already included in the official method has been investigated. The separations were performed using a 45 mM sodium tetraborate buffer (pH 9), and the analytes were measured at 200 nm. For chemometric model construction, the whole electrophoretic profile was processed. It required a correction of migration time shift, which was solved using two internal standards (naphthol and benzoic acid), and a correction of the drift baseline. The results obtained after applying the method to 130 olive oil samples are very promising, achieving success rates above 91%. Finally, the use of all information found in the electropherogram was compared with that based on the selection and integration of only some peaks.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Capillary electrophoresis; Chemometric models; Migration time shift correction; Olive oil classification

Mesh:

Substances:

Year:  2019        PMID: 30771920     DOI: 10.1016/j.talanta.2019.01.031

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  1 in total

1.  Optimisation of the HS-SPME/GC-MS Approach by Design of Experiments Combined with Chemometrics for the Classification of Cretan Virgin Olive Oils.

Authors:  Artemis Lioupi; Ioannis Sampsonidis; Christina Virgiliou; Vassiliki T Papoti; Kyriaki G Zinoviadou; Apostolos Spyros; Georgios Theodoridis
Journal:  Metabolites       Date:  2022-01-25
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.