Literature DB >> 28873575

Development of a comprehensive analytical platform for the detection and quantitation of food fraud using a biomarker approach. The oregano adulteration case study.

Ewa Wielogorska1, Olivier Chevallier2, Connor Black3, Pamela Galvin-King4, Marc Delêtre5, Colin T Kelleher6, Simon A Haughey7, Christopher T Elliott8.   

Abstract

Due to increasing number of food fraud incidents, there is an inherent need for the development and implementation of analytical platforms enabling detection and quantitation of adulteration. In this study a set of unique biomarkers of commonly found oregano adulterants became the targets in the development of a LC-MS/MS method which underwent a rigorous in-house validation. The method presented very high selectivity and specificity, excellent linearity (R2>0.988) low decision limits and detection capabilities (<2%), acceptable accuracy (intra-assay 92-113%, inter-assay 69-138%) and precision (CV<20%). The method was compared with an established FTIR screening assay and revealed a good correlation of quali- and quantitative results (R2>0.81). An assessment of 54 suspected adulterated oregano samples revealed that almost 90% of them contained at least one bulking agent, with a median level of adulteration of 50%. Such innovative methodologies need to be established as routine testing procedures to detect and ultimately deter food fraud.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adulteration; Food; Fraud; Mass spectrometry; Oregano

Mesh:

Substances:

Year:  2017        PMID: 28873575     DOI: 10.1016/j.foodchem.2017.06.083

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  7 in total

1.  Detection, Purity Analysis, and Quality Assurance of Adulterated Peanut (Arachis Hypogaea) Oils.

Authors:  Shayla C Smithson; Boluwatife D Fakayode; Siera Henderson; John Nguyen; Sayo O Fakayode
Journal:  Foods       Date:  2018-07-31

2.  Rapid detection and specific identification of offals within minced beef samples utilising ambient mass spectrometry.

Authors:  Connor Black; Olivier P Chevallier; Kevin M Cooper; Simon A Haughey; Julia Balog; Zoltan Takats; Christopher T Elliott; Christophe Cavin
Journal:  Sci Rep       Date:  2019-04-18       Impact factor: 4.379

3.  High-resolution melting of multiple barcode amplicons for plant species authentication.

Authors:  Nicolai Zederkopff Ballin; Jone Omar Onaindia; Hadeel Jawad; Rafael Fernandez-Carazo; Alain Maquet
Journal:  Food Control       Date:  2019-11       Impact factor: 5.548

4.  A rapid food chain approach for authenticity screening: The development, validation and transferability of a chemometric model using two handheld near infrared spectroscopy (NIRS) devices.

Authors:  Claire McVey; Terry F McGrath; Simon A Haughey; Christopher T Elliott
Journal:  Talanta       Date:  2020-08-17       Impact factor: 6.057

5.  Handheld SERS coupled with QuEChERs for the sensitive analysis of multiple pesticides in basmati rice.

Authors:  Natasha Logan; Simon A Haughey; Lin Liu; D Thorburn Burns; Brian Quinn; Cuong Cao; Christopher T Elliott
Journal:  NPJ Sci Food       Date:  2022-01-13

6.  Rapid Identification between Two Fish Species Using UV-Vis Spectroscopy for Substitution Detection.

Authors:  Zhaoliang Chai; Chengyu Wang; Hongyan Bi
Journal:  Molecules       Date:  2021-10-28       Impact factor: 4.411

Review 7.  Uses of FT-MIR Spectroscopy and Multivariate Analysis in Quality Control of Coffee, Cocoa, and Commercially Important Spices.

Authors:  Lucero Azusena Castillejos-Mijangos; Aracely Acosta-Caudillo; Tzayhrí Gallardo-Velázquez; Guillermo Osorio-Revilla; Cristian Jiménez-Martínez
Journal:  Foods       Date:  2022-02-17
  7 in total

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