Feeding fiction: Fraud vulnerability in the food service industry

Ruth, Saskia M. van; Veeken, Joris van der; Dekker, Pieter; Luning, Pieternel A.; Huisman, Wim

doi:10.1016/j.foodres.2020.109158

Cited by 12 publications

(8 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It is evident that discrepancies between product labels and actual test results, as well as product adulteration, are common in the tested samples. It is no coincidence that product quality issues were also found in commercially available herbal products [ 51 ], fish products [ 52 ], and in the food service industry [ 53 ]. To safeguard consumer rights and avoid the risk of violating certain religious and/or cultural strictures, AGE provides accurate identification of species and enables effective control of the production and distribution of goods.…”

Section: Discussionmentioning

confidence: 99%

Analysis of Whole-Genome as a Novel Strategy for Animal Species Identification

Gan,

Qi,

Hao

et al. 2024

IJMS

View full text Add to dashboard Cite

Survival crises stalk many animals, especially endangered and rare animals. Accurate species identification plays a pivotal role in animal resource conservation. In this study, we developed an animal species identification method called Analysis of whole-GEnome (AGE), which identifies species by finding species-specific sequences through bioinformatics analysis of the whole genome and subsequently recognizing these sequences using experimental technologies. To clearly demonstrate the AGE method, Cervus nippon, a well-known endangered species, and a closely related species, Cervus elaphus, were set as model species, without and with published genomes, respectively. By analyzing the whole genomes of C. nippon and C. elaphus, which were obtained through next-generation sequencing and online databases, we built specific sequence databases containing 7,670,140 and 570,981 sequences, respectively. Then, the species specificities of the sequences were confirmed experimentally using Sanger sequencing and the CRISPR-Cas12a system. Moreover, for 11 fresh animal samples and 35 commercially available products, our results were in complete agreement with those of other authoritative identification methods, demonstrating AGE’s precision and potential application. Notably, AGE found a mixture in the 35 commercially available products and successfully identified it. This study broadens the horizons of species identification using the whole genome and sheds light on the potential of AGE for conserving animal resources.

show abstract

Section: Discussionmentioning

confidence: 99%

Analysis of Whole-Genome as a Novel Strategy for Animal Species Identification

Gan,

Qi,

Hao

et al. 2024

IJMS

View full text Add to dashboard Cite

show abstract

“…Two-hundredand-one records on fraud incidents with organic produce were retrieved from the database and are listed in (19), processed food products (14: juice, oil, jam, infant food, tomato paste, wine, etc. ), seeds (13), coconut products (12), nuts (9), sweeteners (9), cocoa/coffee (6), meat (5), eggs (5), and fish (3). It is remarkable that the great majority of incidents concerns products of plant origin and only a few of animal origin.…”

Section: Incident Report Analysismentioning

confidence: 99%

“…in European supply chains for various sectors and provide insight into which fraud factors contribute to overall fraud vulnerability and how vulnerability might differ between actor groups, regional location, or product types [3][4][5][6][7][8][9]. Social network analysis has been used in predictive policing to understand how criminal relationships, behaviours, and processes influence fraud opportunity.…”

mentioning

confidence: 99%

Evaluation and deconstruction of fraud incidents, vulnerabilities, and social networks in organic ‘hotchpotch’ supply chains : report on fraud incident reports, vulnerability assessments, and social network analysis in the Dutch organic potatoes’, carrots’, and onions’ supply chains

Ruth¹,

Nielen²

2022

View full text Add to dashboard Cite

Annex 1 Bird's eye view food fraud vulnerability assessment: Questions and situations reflecting vulnerability levels Annex 2 Social network questionnaire (in Dutch) Annex 3 Fraud incidents of organic products in the Decernis food fraud database 1980-2021 Annex 4 Bird's eye view food fraud vulnerability assessment of the organic potatoes', carrots', and onions' supply chains: Questions, selected vulnerability levels, and justification

show abstract

“…This makes primary and secondary processing extremely vulnerable to fraudulent activities. Besides the processing area, other stages within the food supply chain such as farms [22] and food services [23] are also vulnerable to fraud. This is evident in van Ruth et al, 2020 [23] who reported casual dining food services as being most vulnerable to fraud.…”

Section: Introductionmentioning

confidence: 99%

“…Besides the processing area, other stages within the food supply chain such as farms [22] and food services [23] are also vulnerable to fraud. This is evident in van Ruth et al, 2020 [23] who reported casual dining food services as being most vulnerable to fraud. Organized crime such as theft in farms is also becoming prevalent [22].…”

Section: Introductionmentioning

confidence: 99%

A Bayesian Approach to Predict Food Fraud Type and Point of Adulteration

Soon

Wahab

2022

Foods

View full text Add to dashboard Cite

Primary and secondary food processing had been identified as areas vulnerable to fraud. Besides the food processing area, other stages within the food supply chain are also vulnerable to fraud. This study aims to develop a Bayesian network (BN) model to predict food fraud type and point of adulteration i.e., the occurrence of fraudulent activity. The BN model was developed using GeNie Modeler (BayesFusion, LLC) based on 715 notifications (1979–2018) from Food Adulteration Incidents Registry (FAIR) database. Types of food fraud were linked to six explanatory variables such as food categories, year, adulterants (chemicals, ingredients, non-food, microbiological, physical, and others), reporting country, point of adulteration, and point of detection. The BN model was validated using 80 notifications from 2019 to determine the predictive accuracy of food fraud type and point of adulteration. Mislabelling (20.7%), artificial enhancement (17.2%), and substitution (16.4%) were the most commonly reported types of fraud. Beverages (21.4%), dairy (14.3%), and meat (14.0%) received the highest fraud notifications. Adulterants such as chemicals (21.7%) (e.g., formaldehyde, methanol, bleaching agent) and cheaper, expired or rotten ingredients (13.7%) were often used to adulterate food. Manufacturing (63.9%) was identified as the main point of adulteration followed by the retailer (13.4%) and distribution (9.9%).

show abstract

Feeding fiction: Fraud vulnerability in the food service industry

Cited by 12 publications

References 20 publications

Analysis of Whole-Genome as a Novel Strategy for Animal Species Identification

Analysis of Whole-Genome as a Novel Strategy for Animal Species Identification

Evaluation and deconstruction of fraud incidents, vulnerabilities, and social networks in organic ‘hotchpotch’ supply chains : report on fraud incident reports, vulnerability assessments, and social network analysis in the Dutch organic potatoes’, carrots’, and onions’ supply chains

A Bayesian Approach to Predict Food Fraud Type and Point of Adulteration

Contact Info

Product

Resources

About