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Food Safety, Food Fraud, and Food Defense: A Fast Evolving Literature
Open accessAbstract
Intentional food crime is plural in nature in terms of the types of crime and the differing levels of financial gain. Successful models of food crime are dependent on how well the crime has been executed and at what point, or even if, detection actually occurs. The aim of this paper is to undertake a literature review and critique the often contradictory definitions that can be found in the literature in order to compare and contrast existing food crime risk assessment tools and their application. Food safety, food defense, and food fraud risk assessments consider different criteria in order to determine the degree of situational risk for each criteria and the measures that need to be implemented to mitigate that risk. Further research is required to support the development of global countermeasures, that are of value in reducing overall risk even when the potential hazards may be largely unknown, and specific countermeasures that can act against unique risks.
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“Activities in this respect are generally summarized under the term food defence, which must be carefully distinguished from other common terms like food fraud or food safety, where food safety covers all aspects of unintentional contamination and food fraud any adulteration for economic gain but without harm [2, 3].”
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Lindley, J., Bongiovanni, H., & Eastwood, D. (2023) · International Journal of Rural Criminology · doi:10.18061/ijrc.v7i3.8733 · Cited by 6
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Problem fałszowania żywności w Polsce
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Recent trends in the electroanalytical detection of food fraud
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Quick Roadmap for Exposure Assessment of Contaminants in Food
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“In parallel, from a food safety point of view, the presence of different contaminants intentionally added (whilst not needed) strives towards food fraud and/or food defense, resulting in intentional food crime [10].”
AI-powered computer vision for detecting gluten in gluten-free beer
Pérez-Calabuig, A. M., Pradana‐López, S., Cancilla, J. C., López-Ortega, S., & Torrecilla, J. S. (2025) · Food Control · doi:10.1016/j.foodcont.2025.111557 · Cited by 5
SNP Array for Small-Shrimp (Genus Acetes) Origin Determination Using Machine Learning
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Vatin, G., Théolier, J., Domínguez, S., & Godefroy, S. B. (2023) · Food Control · doi:10.1016/j.foodcont.2023.109763 · Cited by 5
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Prevalence of Anxiety and Depression among postgraduate trainees in Qassim, Saudi Arabia
Alrasheedi, J., & Rabbani, U. (2022) · World Family Medicine Journal/Middle East Journal of Family Medicine · doi:10.5742/mewfm.2022.9525020 · Cited by 5
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Hyperspectral imaging for non-destructive origin authentication of peeled garlic products
Yang, R., Wei, W., & Feng, Y. (2025) · Food Bioscience · doi:10.1016/j.fbio.2025.107298 · Cited by 4
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Robust discrimination between closely related species of salmon based on DNA fragments
Ellisor, D. L., Gregg, M. E., Folz, A., & Possolo, A. M. (2025) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-024-05724-9 · Cited by 4
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“This has been possible by the integration and utilization of omic technologies (Luykx and van Ruth 2008; Lohumi et al. 2015; Manning and Soon 2016; Gallo and Ferranti 2016; Chapman et al. 2019; Cozzolino 2015).”
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Alewijn, M., Goemans, P., Gussow, K. E., Turner, K. J., & Pustjens, A. M. (2025) · Foods · doi:10.3390/foods14244328 · Cited by 3
“Manning & Soon highlighted persistent inconsistencies in terminology and argued that intentional, economically driven adulteration requires distinct risk-assessment and prevention approaches [11].”
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Classification of Starch Adulteration in Milk Using Spectroscopic Data and Machine Learning
Durgun, Y. (2023) · Uluslararası mühendislik araştırma ve geliştirme dergisi · doi:10.29137/umagd.1379171 · Cited by 3
An issue of food fraud in regulatory activities and industry standards
Kowalska, A. (2017) · Kwartalnik Nauk o Przedsiębiorstwie · doi:10.5604/01.3001.0010.7451 · Cited by 3
Food Adulteration Episodes. The Impact of Frauds in the American Market of Dairy Raw Materials
Sharma, S. D., Bhagat, A. R., & Parisi, S. (2019) · Springer briefs in molecular science · doi:10.1007/978-3-030-14651-1_4 · Cited by 3
Nutrition and dietetic students’ knowledge and attitudes regarding food science and technology
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“One of the fundamental requirements of the BRC Food Safety standard is the development of a food safety plan covering activities related to programs commonly regarded as elementary nowadays, these are Food Safety, Food Defense and Food Fraud, relations between them are presented in [5, 6].”
BackgroundFraude alimentario: Pasado, presente y futuro
Escobar, N., Beas, S., Gras, N. T., & Ronco, A. M. (2023) · Revista chilena de nutrición · doi:10.4067/s0717-75182023000100106 · Cited by 3
Cereals, Pseudocereals, Flour, and Bakery Products
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Suryani, D., Rustiawan, A., & Jannah, A. A. (2023) · Public Health of Indonesia · doi:10.36685/phi.v9i3.707 · Cited by 3
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Matsumoto, S., Kanagawa, Y., Nagoshi, K., Akahane, T., Imamura, T., & Akahane, M. (2023) · Interactive Journal of Medical Research · doi:10.2196/43936 · Cited by 3
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Navigating blockchain complexity in food supply chains: Frameworks for effective adoption
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“These days, the rise of economic needs among industries has led to the internationalization of food production, distribution and retailing (Ballin et al ., 2009; Manning & Soon, 2016; Stadler et al ., 2016).”
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“Recent incidents of foodborne diseases and fatalities linked to contaminated foods have underscored the urgent need for more effective detection methods of illicit food factories [41, 58].”
BackgroundPolicies and Social Issues of Food Safety
Das, S. K., Biswas, O., & Biswas, B. K. (2024) · CABI climate change series. · doi:10.1079/9781800625037.0011 · Cited by 2
Foreign substances in food in forensic analyses
Lech, T., & Lechowicz, W. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822360-4.00001-7 · Cited by 2
Security Standards Applied to Drinking Water
Popa, M., & Glevitzky, I. (2021) · Advanced sciences and technologies for security applications · doi:10.1007/978-3-030-76008-3_16 · Cited by 2
Previti, A., Vicari, D., Conte, F. L., Pugliese, M., Gargano, V., Alibrandi, A., Zirilli, A., & Passantino, A. (2022) · Foods · doi:10.3390/foods11091244 · Cited by 2
Study on the effect of income perception on cleaner-production fraud
Liu, M., & Li, Y. (2022) · Environmental Science and Pollution Research · doi:10.1007/s11356-022-18776-0 · Cited by 2
“To explore the inherent causes of its generation is a prerequisite for combating production fraud (Donaldson 2014; Mu et al. 2014; Manning and Soon 2016; Michael and Georgios 2016).”
BackgroundAldekhail, N. D., & Sulaiman, A. A. (2022) · World Family Medicine Journal/Middle East Journal of Family Medicine · doi:10.5742/mewfm.2022.9525022 · Cited by 3
Developing the Approaches to Interpretation of the Concept of «Food Security»
Pavlovska, I. G. (2022) · THE PROBLEMS OF ECONOMY · doi:10.32983/2222-0712-2022-3-52-61 · Cited by 2
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Shafi, A., Ahmad, F., Mohammad, Z. H., & Zaidi, S. (2024) · Springer eBooks · doi:10.1007/978-3-031-51417-3_6 · Cited by 2
Overview of Food Fraud Prevention, Control, and Countermeasures
Manning, R. W., & Spink, J. (2020) · Elsevier eBooks · doi:10.1016/b978-0-08-100596-5.22857-6 · Cited by 2
Defesa e Fraude Alimentar na Integridade da Cadeia de Fornecimento de Alimentos – Breve Revisão
Costa, M. J., Teixeira, P. C. M., & Moreira, R. (2020) · Acta Portuguesa de Nutrição · doi:10.21011/apn.2020.2007 · Cited by 2
Rizzuti, A. (2021) · Open Access at Essex (University of Essex) · Cited by 2
Eating habits and antifat attitudes among adolescent: West Serbian experience
Savić, N., Mladenović, M., Ralić, V., Jokić, Z., Mirković, A., Lazarević, H., Bogdanović-Vasić, S., & Petrović, J. (2021) · Sestrinska vizija · doi:10.5937/sestrviz2108026s · Cited by 1
“On the other hand, restricting access to tasteful foods, whether self-imposed or by parental control, may have potentially negative consequences [16].”
BackgroundFamily physicians and patients’ compliance
Ismail, M., Nur, M. A., & Joudeh, A. I. (2022) · World Family Medicine Journal/Middle East Journal of Family Medicine · doi:10.5742/mewfm.2022.9525041 · Cited by 1
Niu, L., Sha, D., Qin, K., & Wu, L. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e35335 · Cited by 1
Seçer, A., Aydan, G., & Şahin, A. (2025) · British Food Journal · doi:10.1108/bfj-10-2024-1070 · Cited by 1
Chapman, J., Hoffman, L. C., & Cozzolino, D. (2025) · Royal Society of Chemistry eBooks · doi:10.1039/9781837679119-00070 · Cited by 1
Evaluation of a Method for Assessing Food Contamination Based on a Shopping Mall Model
Niemcewicz, M., Szelenberger, R., Grabowska, W. A., Cichoń, N., Podogrocki, M., & Bijak, M. (2025) · Foods · doi:10.3390/foods14173110 · Cited by 1
“These findings align with previous food defense analyses that have highlighted infrastructural design, centralized catering arrangements, and human factors as recurring areas of concern in mass catering environments [11,19].”
Building an intelligent food assurance system based on DevOps: A review
Zhou, J., Brereton, P. A., & Campbell, K. (2025) · Future Foods · doi:10.1016/j.fufo.2025.100847 · Cited by 5
Wang, E., Nian, Y., & Gao, Z. (2025) · Agribusiness · doi:10.1002/agr.70058 · Cited by 1
Metadata
- Authors
- Manning, L., & Soon, J. M.
- Affiliations
- Royal Agricultural University (GB)
- University of Lancashire (GB)
- Corresponding author
- Manning, Louise
- Venue
- Journal of Food Science
- Publisher
- Wiley
- Published
- 2016-03-02
- Volume
- 81
- Issue
- 4
- Pages
- R823-34
- ISSN
- 0022-1147 (ISSN-L)
- 1750-3841
- OpenAlex
- W2341811507
- Cited by
- 268
- References
- 32
- Citations by year
- 2026: 20 · 2025: 24 · 2024: 35 · 2023: 36 · 2022: 40 · 2021: 38 · 2020: 25 · 2019: 23 · 2018: 9 · 2017: 12 · 2016: 6
- FWCI
- 1.93
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Food Science (publishedVersion)
- PubMed (publishedVersion)
- Harper Adams University Repository (GuildHE Research) (acceptedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Food Science › Food Safety and Hygiene
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Identification and Quantification in Food
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Pharmaceutical Quality and Counterfeiting
- Keywords
- food safety, food fraud, food defense, risk assessment tools, risk mitigation, countermeasures
- MeSH terms
- Crime, Food, Fraud, Humans, Risk Assessment, Food Safety
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