Literature DB >> 26050093

Novel, Rapid Identification, and Quantification of Adulterants in Extra Virgin Olive Oil Using Near-Infrared Spectroscopy and Chemometrics.

Hormoz Azizian1, Magdi M Mossoba, Ali Reza Fardin-Kia, Pierluigi Delmonte, Sanjeewa R Karunathilaka, John K G Kramer.   

Abstract

A new, rapid Fourier transform near infrared (FT-NIR) spectroscopic procedure is described to screen for the authenticity of extra virgin olive oils (EVOO) and to determine the kind and amount of an adulterant in EVOO. To screen EVOO, a partial least squares (PLS1) calibration model was developed to estimate a newly created FT-NIR index based mainly on the relative intensities of two unique carbonyl overtone absorptions in the FT-NIR spectra of EVOO and other mixtures attributed to volatile (5280 cm(-1)) and non-volatile (5180 cm(-1)) components. Spectra were also used to predict the fatty acid (FA) composition of EVOO or samples spiked with an adulterant using previously developed PLS1 calibration models. Some adulterated mixtures could be identified provided the FA profile was sufficiently different from those of EVOO. To identify the type and determine the quantity of an adulterant, gravimetric mixtures were prepared by spiking EVOO with different concentrations of each adulterant. Based on FT-NIR spectra, four PLS1 calibration models were developed for four specific groups of adulterants, each with a characteristic FA composition. Using these different PLS1 calibration models for prediction, plots of predicted vs. gravimetric concentrations of an adulterant in EVOO yielded linear regression functions with four unique sets of slopes, one for each group of adulterants. Four corresponding slope rules were defined that allowed for the determination of the nature and concentration of an adulterant in EVOO products by applying these four calibration models. The standard addition technique was used for confirmation.

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Year:  2015        PMID: 26050093     DOI: 10.1007/s11745-015-4038-4

Source DB:  PubMed          Journal:  Lipids        ISSN: 0024-4201            Impact factor:   1.880


  11 in total

Review 1.  Authentication of vegetable oils by chromatographic techniques.

Authors:  R Aparicio; R Aparicio-Ruíz
Journal:  J Chromatogr A       Date:  2000-06-09       Impact factor: 4.759

2.  Rapid determination of total trans fat content--an attenuated total reflection infrared spectroscopy international collaborative study.

Authors:  M M Mossoba; M Adam; T Lee; J Bastyr
Journal:  J AOAC Int       Date:  2001 Jul-Aug       Impact factor: 1.913

3.  Detecting and quantifying sunflower oil adulteration in extra virgin olive oils from the eastern mediterranean by visible and near-infrared spectroscopy.

Authors:  Gerard Downey; Peter McIntyre; Antony N Davies
Journal:  J Agric Food Chem       Date:  2002-09-25       Impact factor: 5.279

4.  The detection and quantification of adulteration in olive oil by near-infrared spectroscopy and chemometrics.

Authors:  Alfred A Christy; Sumaporn Kasemsumran; Yiping Du; Yukihiro Ozaki
Journal:  Anal Sci       Date:  2004-06       Impact factor: 2.081

5.  Analysis of olive oil and seed oil triglycerides by capillary gas chromatography as a tool for the detection of the adulteration of olive oil.

Authors:  N K Andrikopoulos; I G Giannakis; V Tzamtzis
Journal:  J Chromatogr Sci       Date:  2001-04       Impact factor: 1.618

6.  Detection of Chemlali extra-virgin olive oil adulteration mixed with soybean oil, corn oil, and sunflower oil by using GC and HPLC.

Authors:  Hazem Jabeur; Akram Zribi; Jamel Makni; Ahmed Rebai; Ridha Abdelhedi; Mohamed Bouaziz
Journal:  J Agric Food Chem       Date:  2014-05-15       Impact factor: 5.279

7.  Detection of the presence of hazelnut oil in olive oil by FT-raman and FT-MIR spectroscopy.

Authors:  Vincent Baeten; Juan Antonio Fernández Pierna; Pierre Dardenne; Marc Meurens; Diego L García-González; Ramón Aparicio-Ruiz
Journal:  J Agric Food Chem       Date:  2005-08-10       Impact factor: 5.279

8.  Ambient mass spectrometry employing direct analysis in real time (DART) ion source for olive oil quality and authenticity assessment.

Authors:  Lukas Vaclavik; Tomas Cajka; Vojtech Hrbek; Jana Hajslova
Journal:  Anal Chim Acta       Date:  2009-05-05       Impact factor: 6.558

9.  Absorption of water by room-temperature ionic liquids: effect of anions on concentration and state of water.

Authors:  Chieu D Tran; Silvia H De Paoli Lacerda; Daniel Oliveira
Journal:  Appl Spectrosc       Date:  2003-02       Impact factor: 2.388

Review 10.  60 MHz 1H NMR spectroscopy for the analysis of edible oils.

Authors:  T Parker; E Limer; A D Watson; M Defernez; D Williamson; E Kate Kemsley
Journal:  Trends Analyt Chem       Date:  2014-05       Impact factor: 12.296

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  3 in total

1.  First Application of Newly Developed FT-NIR Spectroscopic Methodology to Predict Authenticity of Extra Virgin Olive Oil Retail Products in the USA.

Authors:  Magdi M Mossoba; Hormoz Azizian; Ali Reza Fardin-Kia; Sanjeewa R Karunathilaka; John K G Kramer
Journal:  Lipids       Date:  2017-04-11       Impact factor: 1.880

2.  Characterising variances of milk powder and instrumentation for the development of a non-targeted, Raman spectroscopy and chemometrics detection method for the evaluation of authenticity.

Authors:  Sanjeewa R Karunathilaka; Samantha Farris; Magdi M Mossoba; Jeffrey C Moore; Betsy Jean Yakes
Journal:  Food Addit Contam Part A Chem Anal Control Expo Risk Assess       Date:  2016-06-01

3.  Developing FT-NIR and PLS1 Methodology for Predicting Adulteration in Representative Varieties/Blends of Extra Virgin Olive Oils.

Authors:  Hormoz Azizian; Magdi M Mossoba; Ali Reza Fardin-Kia; Sanjeewa R Karunathilaka; John K G Kramer
Journal:  Lipids       Date:  2016-09-27       Impact factor: 1.880

  3 in total

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