Literature DB >> 20070088

A novel method to quantify the adulteration of extra virgin olive oil with low-grade olive oils by UV-vis.

José S Torrecilla1, Ester Rojo, Juan C Domínguez, Francisco Rodríguez.   

Abstract

A simple and novel method to quantify adulterations of extra virgin olive oil (EVOO) with refined olive oil (ROO) and refined olive-pomace oil (ROPO) is described here. This method consists of calculating chaotic parameters (Lyapunov exponent, autocorrelation coefficients, and two fractal dimensions, CPs) from UV-vis scans of adulterated EVOO samples. These parameters have been successfully linearly correlated with the ROO or ROPO concentrations in 396 EVOO adulterated samples. By an external validation process, when the adulterating agent concentration is less than 10%, the integrated CPs/UV-vis model estimates the adulterant agent concentration with a mean correlation coefficient (estimated versus real concentration of low grade olive oil) greater than 0.97 and a mean square error of less than 1%. In light of these results, this detector is suitable not only to detect adulterations but also to measure impurities when, for instance, a higher grade olive oil is transferred to another storage tank in which lower grade olive oil was stored that had not been adequately cleaned.

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Year:  2010        PMID: 20070088     DOI: 10.1021/jf903308u

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


  4 in total

Review 1.  Applications of ultrasound techniques in tandem with non-destructive approaches for the quality evaluation of edible oils.

Authors:  Mohammad Reza Zarezadeh; Mohammad Aboonajmi; Mahdi Ghasemi-Varnamkhasti
Journal:  J Food Sci Technol       Date:  2022-01-20       Impact factor: 3.117

2.  Near UV-Vis and NMR Spectroscopic Methods for Rapid Screening of Antioxidant Molecules in Extra-Virgin Olive Oil.

Authors:  Giulia Vicario; Alessandra Francini; Mario Cifelli; Valentina Domenici; Luca Sebastiani
Journal:  Antioxidants (Basel)       Date:  2020-12-08

3.  Variational Mode Decomposition Weighted Multiscale Support Vector Regression for Spectral Determination of Rapeseed Oil and Rhizoma Alpiniae Offcinarum Adulterants.

Authors:  Xihui Bian; Deyun Wu; Kui Zhang; Peng Liu; Huibing Shi; Xiaoyao Tan; Zhigang Wang
Journal:  Biosensors (Basel)       Date:  2022-08-01

4.  Rapid Identification of Adulteration in Edible Vegetable Oils Based on Low-Field Nuclear Magnetic Resonance Relaxation Fingerprints.

Authors:  Zhi-Ming Huang; Jia-Xiang Xin; Shan-Shan Sun; Yi Li; Da-Xiu Wei; Jing Zhu; Xue-Lu Wang; Jiachen Wang; Ye-Feng Yao
Journal:  Foods       Date:  2021-12-09
  4 in total

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