Literature DB >> 23575142

Economically motivated adulteration (EMA) of food: common characteristics of EMA incidents.

Karen Everstine1, John Spink, Shaun Kennedy.   

Abstract

Economically motivated adulteration (EMA) of food, also known as food fraud, is the intentional adulteration of food for financial advantage. A common form of EMA, undeclared substitution with alternative ingredients, is usually a health concern because of allergen labeling requirements. As demonstrated by the nearly 300,000 illnesses in China from melamine adulteration of infant formula, EMA also has the potential to result in serious public health consequences. Furthermore, EMA incidents reveal gaps in quality assurance testing methodologies that could be exploited for intentional harm. In contrast to foodborne disease outbreaks, EMA incidents present a particular challenge to the food industry and regulators because they are deliberate acts that are intended to evade detection. Large-scale EMA incidents have been described in the scientific literature, but smaller incidents have been documented only in media sources. We reviewed journal articles and media reports of EMA since 1980. We identified 137 unique incidents in 11 food categories: fish and seafood (24 incidents), dairy products (15), fruit juices (12), oils and fats (12), grain products (11), honey and other natural sweeteners (10), spices and extracts (8), wine and other alcoholic beverages (7), infant formula (5), plant-based proteins (5), and other food products (28). We identified common characteristics among the incidents that may help us better evaluate and reduce the risk of EMA. These characteristics reflect the ways in which existing regulatory systems or testing methodologies were inadequate for detecting EMA and how novel detection methods and other deterrence strategies can be deployed. Prevention and detection of EMA cannot depend on traditional food safety strategies. Comprehensive food protection, as outlined by the Food Safety Modernization Act, will require innovative methods for detecting EMA and for targeting crucial resources toward the riskiest food products.

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Year:  2013        PMID: 23575142     DOI: 10.4315/0362-028X.JFP-12-399

Source DB:  PubMed          Journal:  J Food Prot        ISSN: 0362-028X            Impact factor:   2.077


  21 in total

1.  Rapid visible-near infrared (Vis-NIR) spectroscopic detection and quantification of unripe banana flour adulteration with wheat flour.

Authors:  Phindile Faith Ndlovu; Lembe Samukelo Magwaza; Samson Zeray Tesfay; Rebogile Ramaesele Mphahlele
Journal:  J Food Sci Technol       Date:  2019-08-17       Impact factor: 2.701

2.  Assessment of lemon juice quality and adulteration by ultra-high performance liquid chromatography/triple quadrupole mass spectrometry with interactive and interpretable machine learning.

Authors:  Weiting Lyu; Bo Yuan; Siyu Liu; James E Simon; Qingli Wu
Journal:  J Food Drug Anal       Date:  2021-06-15       Impact factor: 6.157

3.  Assessment of some quality parameters and chemometric-assisted FTIR spectral analysis of commercial powdered ginger products on the Ghanaian market.

Authors:  Isaac Kingsley Amponsah; Abena Boakye; Emmanuel Orman; Francis Ackah Armah; Lawrence Sheringham Borquaye; Silas Adjei; Yaa Afrakoma Dwamena; Kennedy Ameyaw Baah; Benjamin Kingsley Harley
Journal:  Heliyon       Date:  2022-03-22

4.  Nitrogen factor of common carp Cyprinus carpio fillets with and without skin.

Authors:  Alena Honzlova; Helena Curdova; Lenka Schebestova; Pavel Bartak; Alzbeta Stara; Josef Priborsky; Anna Koubova; Zdenka Svobodova; Josef Velisek
Journal:  Sci Rep       Date:  2021-05-11       Impact factor: 4.379

5.  Determining the presence of undeclared animal species using Real-time PCR in canned and ready-to-eat meat products in South Africa.

Authors:  Sandhya Sreenivasan Tantuan; Christopher D Viljoen
Journal:  J Food Sci Technol       Date:  2020-09-10       Impact factor: 3.117

6.  Improved Protocols of ITS1-Based Metabarcoding and Their Application in the Analysis of Plant-Containing Products.

Authors:  Denis O Omelchenko; Anna S Speranskaya; Andrey A Ayginin; Kamil Khafizov; Anastasia A Krinitsina; Anna V Fedotova; Denis V Pozdyshev; Viktoria Y Shtratnikova; Evgenia V Kupriyanova; German A Shipulin; Maria D Logacheva
Journal:  Genes (Basel)       Date:  2019-02-07       Impact factor: 4.096

7.  Toward on-site food authentication using nanopore sequencing.

Authors:  Marleen M Voorhuijzen-Harink; Rico Hagelaar; Jeroen P van Dijk; Theo W Prins; Esther J Kok; Martijn Staats
Journal:  Food Chem X       Date:  2019-06-05

8.  Assessment of the labelling accuracy of spanish semipreserved anchovies products by FINS (forensically informative nucleotide sequencing).

Authors:  Amaya Velasco; Anxela Aldrey; Ricardo I Pérez-Martín; Carmen G Sotelo
Journal:  Heliyon       Date:  2016-06-28

9.  Tuna labels matter in Europe: Mislabelling rates in different tuna products.

Authors:  Carmen G Sotelo; Amaya Velasco; Ricardo I Perez-Martin; Kristina Kappel; Ute Schröder; Véronique Verrez-Bagnis; Marc Jérôme; Rogério Mendes; Helena Silva; Stefano Mariani; Andrew Griffiths
Journal:  PLoS One       Date:  2018-05-16       Impact factor: 3.240

10.  Multispecies Adulteration Detection of Camellia Oil by Chemical Markers.

Authors:  Xinjing Dou; Jin Mao; Liangxiao Zhang; Huali Xie; Lin Chen; Li Yu; Fei Ma; Xiupin Wang; Qi Zhang; Peiwu Li
Journal:  Molecules       Date:  2018-01-25       Impact factor: 4.411

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