Literature DB >> 28401382

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

Magdi M Mossoba1, Hormoz Azizian2, Ali Reza Fardin-Kia3, Sanjeewa R Karunathilaka3, John K G Kramer4.   

Abstract

Economically motivated adulteration (EMA) of extra virgin olive oils (EVOO) has been a worldwide problem and a concern for government regulators for a long time. The US Food and Drug Administration (FDA) is mandated to protect the US public against intentional adulteration of foods and has jurisdiction over deceptive label declarations. To detect EMA of olive oil and address food safety vulnerabilities, we used a previously developed rapid screening methodology to authenticate EVOO. For the first time, a recently developed FT-NIR spectroscopic methodology in conjunction with partial least squares analysis was applied to commercial products labeled EVOO purchased in College Park, MD, USA to rapidly predict whether they are authentic, potentially mixed with refined olive oil (RO) or other vegetable oil(s), or are of lower quality. Of the 88 commercial products labeled EVOO that were assessed according to published specified ranges, 33 (37.5%) satisfied the three published FT-NIR requirements identified for authentic EVOO products which included the purity test. This test was based on limits established for the contents of three potential adulterants, oils high in linoleic acid (OH-LNA), oils high in oleic acid (OH-OLA), palm olein (PO), and/or RO. The remaining 55 samples (62.5%) did not meet one or more of the criteria established for authentic EVOO. The breakdown of the 55 products was EVOO potentially mixed with OH-LNA (25.5%), OH-OLA (10.9%), PO (5.4%), RO (25.5%), or a combination of any of these four (32.7%). If assessments had been based strictly on whether the fatty acid composition was within the established ranges set by the International Olive Council (IOC), less than 10% would have been identified as non-EVOO. These findings are significant not only because they were consistent with previously published data based on the results of two sensory panels that were accredited by IOC but more importantly each measurement/analysis was accomplished in less than 5 min.

Entities:  

Keywords:  Extra virgin olive oil; FA markers; FT-NIR; PLS; Volatile compounds

Mesh:

Substances:

Year:  2017        PMID: 28401382     DOI: 10.1007/s11745-017-4250-5

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


  4 in total

1.  A rapid method for the quantification of fatty acids in fats and oils with emphasis on trans fatty acids using Fourier Transform near infrared spectroscopy (FT-NIR).

Authors:  Hormoz Azizian; John K G Kramer
Journal:  Lipids       Date:  2005-08       Impact factor: 1.880

2.  Slippery business: the trade in adulterated olive oil.

Authors:  Tom Mueller
Journal:  New Yorker       Date:  2007-08-13

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

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

Authors:  Hormoz Azizian; Magdi M Mossoba; Ali Reza Fardin-Kia; Pierluigi Delmonte; Sanjeewa R Karunathilaka; John K G Kramer
Journal:  Lipids       Date:  2015-06-07       Impact factor: 1.880

  4 in total
  3 in total

1.  Determination of Adulteration Content in Extra Virgin Olive Oil Using FT-NIR Spectroscopy Combined with the BOSS-PLS Algorithm.

Authors:  Hui Jiang; Quansheng Chen
Journal:  Molecules       Date:  2019-06-06       Impact factor: 4.411

2.  FT-NIR: a tool for rapid intracellular lipid quantification in oleaginous yeasts.

Authors:  Mikołaj Chmielarz; Sabine Sampels; Johanna Blomqvist; Jule Brandenburg; Frida Wende; Mats Sandgren; Volkmar Passoth
Journal:  Biotechnol Biofuels       Date:  2019-06-29       Impact factor: 6.040

3.  Non-Targeted Authentication Approach for Extra Virgin Olive Oil.

Authors:  Didem Peren Aykas; Ayse Demet Karaman; Burcu Keser; Luis Rodriguez-Saona
Journal:  Foods       Date:  2020-02-20
  3 in total

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