1
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Aslam N, Fatima R, Altemimi AB, Ahmad T, Khalid S, Hassan SA, Aadil RM. Overview of industrial food fraud and authentication through chromatography technique and its impact on public health. Food Chem 2024; 460:140542. [PMID: 39079380 DOI: 10.1016/j.foodchem.2024.140542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 07/09/2024] [Accepted: 07/18/2024] [Indexed: 09/05/2024]
Abstract
Food fraud is widespread nowadays in the food products supply chain, from raw materials processing to the final product and during storage and transport. The most frequent fraud is practiced in staple food commodities like cereals. Their origin, variety, genotype, and bioactive compounds are altered to deceive consumers. Similarly, in various food sectors like beverage, baking, and confectionary, items like melamine, flour improver, and food colors are used in the market to temple consumers. To tackle food fraud and authentication, non-destructive techniques are being used. These techniques have limitations like lack of standardization, interference from multiple absorbing species, ambiguous results, and time-consuming to perform, depending on the type, size, and location of the system proved difficult to quantify the samples of adulteration. Chromatography has been introduced as an effective technique. It serves to safeguard public health due to its detection capabilities. Chromatography proved a crucial tool against fraudulent practices to preserve consumer trust.
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Affiliation(s)
- Nabila Aslam
- National Institute of Food Science and Technology, University of Agriculture, Faisalabad 38000, Pakistan
| | - Rida Fatima
- National Institute of Food Science and Technology, University of Agriculture, Faisalabad 38000, Pakistan
| | - Ammar B Altemimi
- Food Science Department, College of Agriculture, University of Basrah, Basrah 61004, Iraq
| | - Talha Ahmad
- National Institute of Food Science and Technology, University of Agriculture, Faisalabad 38000, Pakistan
| | - Samran Khalid
- National Institute of Food Science and Technology, University of Agriculture, Faisalabad 38000, Pakistan
| | - Syed Ali Hassan
- National Institute of Food Science and Technology, University of Agriculture, Faisalabad 38000, Pakistan
| | - Rana Muhammad Aadil
- National Institute of Food Science and Technology, University of Agriculture, Faisalabad 38000, Pakistan.
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2
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Fernando I, Fei J, Cahoon S, Close DC. A review of the emerging technologies and systems to mitigate food fraud in supply chains. Crit Rev Food Sci Nutr 2024:1-28. [PMID: 39356551 DOI: 10.1080/10408398.2024.2405840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/03/2024]
Abstract
Food fraud has serious consequences including reputational damage to businesses, health and safety risks and lack of consumer confidence. New technologies targeted at ensuring food authenticity has emerged and however, the penetration and diffusion of sophisticated analytical technologies are faced with challenges in the industry. This review is focused on investigating the emerging technologies and strategies for mitigating food fraud and exploring the key barriers to their application. The review discusses three key areas of focus for food fraud mitigation that include systematic approaches, analytical techniques and package-level anti-counterfeiting technologies. A notable gap exists in converting laboratory based sophisticated technologies and tools in high-paced, live industrial applications. New frontiers such as handheld laser-induced breakdown spectroscopy (LIBS) and smart-phone spectroscopy have emerged for rapid food authentication. Multifunctional devices with hyphenating sensing mechanisms together with deep learning strategies to compare food fingerprints can be a great leap forward in the industry. Combination of different technologies such as spectroscopy and separation techniques will also be superior where quantification of adulterants are preferred. With the advancement of automation these technologies will be able to be deployed as in-line scanning devices in industrial settings to detect food fraud across multiple points in food supply chains.
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Affiliation(s)
- Indika Fernando
- Australian Maritime College (AMC), University of Tasmania, Newnham, TAS, Australia
| | - Jiangang Fei
- Australian Maritime College (AMC), University of Tasmania, Newnham, TAS, Australia
| | - Stephen Cahoon
- Australian Maritime College (AMC), University of Tasmania, Newnham, TAS, Australia
| | - Dugald C Close
- Tasmanian Institute of Agriculture (TIA), University of Tasmania, Hobart, TAS, Australia
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3
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Oleo DDD, Manning L, McIntyre L, Randall N, Nayak R. The application of systematic accident analysis tools to investigate food safety incidents. Compr Rev Food Sci Food Saf 2024; 23:e13344. [PMID: 38634199 DOI: 10.1111/1541-4337.13344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 03/16/2024] [Accepted: 03/25/2024] [Indexed: 04/19/2024]
Abstract
Effective food safety (FS) management relies on the understanding of the factors that contribute to FS incidents (FSIs) and the means for their mitigation and control. This review aims to explore the application of systematic accident analysis tools to both design FS management systems (FSMSs) as well as to investigate FSI to identify contributive and causative factors associated with FSI and the means for their elimination or control. The study has compared and contrasted the diverse characteristics of linear, epidemiological, and systematic accident analysis tools and hazard analysis critical control point (HACCP) and the types and depth of qualitative and quantitative analysis they promote. Systematic accident analysis tools, such as the Accident Map Model, the Functional Resonance Accident Model, or the Systems Theoretical Accident Model and Processes, are flexible systematic approaches to analyzing FSI within a socio-technical food system which is complex and continually evolving. They can be applied at organizational, supply chain, or wider food system levels. As with the application of HACCP principles, the process is time-consuming and requires skilled users to achieve the level of systematic analysis required to ensure effective validation and verification of FSMS and revalidation and reverification following an FSI. Effective revalidation and reverification are essential to prevent recurrent FSI and to inform new practices and processes for emergent FS concerns and the means for their control.
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Affiliation(s)
- Dileyni Díaz De Oleo
- TADRUS Research Group, Department of Agricultural and Forestry Engineering, University of Valladolid, Valladolid, Spain
| | - Louise Manning
- The Lincoln Institute for Agri-Food Technology, University of Lincoln, Lincoln, UK
| | - Lynn McIntyre
- Department of Food, Land and Agribusiness Management, Harper Adams University, Newport, UK
| | - Nicola Randall
- Department of Agriculture and Environment, Harper Adams University, Newport, UK
| | - Rounaq Nayak
- Department of Life and Environmental Sciences, Bournemouth University, Poole, UK
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4
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Li Y, Logan N, Quinn B, Hong Y, Birse N, Zhu H, Haughey S, Elliott CT, Wu D. Fingerprinting black tea: When spectroscopy meets machine learning a novel workflow for geographical origin identification. Food Chem 2024; 438:138029. [PMID: 38006696 DOI: 10.1016/j.foodchem.2023.138029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 10/29/2023] [Accepted: 11/14/2023] [Indexed: 11/27/2023]
Abstract
Food fraud, along with many challenges to the integrity and sustainability, threatens the prosperity of businesses and society as a whole. Tea is the second most commonly consumed non-alcoholic beverage globally. Challenges to tea authenticity require the development of highly efficient and rapid solutions to improve supply chain transparency. This study has produced an innovative workflow for black tea geographical indications (GI) discrimination based on non-targeted spectroscopic fingerprinting techniques. A total of 360 samples originating from nine GI regions worldwide were analysed by Fourier Transform Infrared (FTIR) and Near Infrared spectroscopy. Machine learning algorithms (k-nearest neighbours and support vector machine models) applied to the test data greatly improved the GI identification achieving 100% accuracy using FTIR. This workflow will provide a low-cost and user-friendly solution for on-site and real-time determination of black tea geographical origin along supply chains.
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Affiliation(s)
- Yicong Li
- National Measurement Laboratory: Centre of Excellence in Agriculture and Food Integrity, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, 19 Chlorine Gardens, Belfast, Northern Ireland BT9 5DL, UK
| | - Natasha Logan
- National Measurement Laboratory: Centre of Excellence in Agriculture and Food Integrity, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, 19 Chlorine Gardens, Belfast, Northern Ireland BT9 5DL, UK
| | - Brian Quinn
- National Measurement Laboratory: Centre of Excellence in Agriculture and Food Integrity, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, 19 Chlorine Gardens, Belfast, Northern Ireland BT9 5DL, UK
| | - Yunhe Hong
- National Measurement Laboratory: Centre of Excellence in Agriculture and Food Integrity, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, 19 Chlorine Gardens, Belfast, Northern Ireland BT9 5DL, UK
| | - Nicholas Birse
- National Measurement Laboratory: Centre of Excellence in Agriculture and Food Integrity, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, 19 Chlorine Gardens, Belfast, Northern Ireland BT9 5DL, UK
| | - Hao Zhu
- National Measurement Laboratory: Centre of Excellence in Agriculture and Food Integrity, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, 19 Chlorine Gardens, Belfast, Northern Ireland BT9 5DL, UK
| | - Simon Haughey
- National Measurement Laboratory: Centre of Excellence in Agriculture and Food Integrity, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, 19 Chlorine Gardens, Belfast, Northern Ireland BT9 5DL, UK
| | - Christopher T Elliott
- National Measurement Laboratory: Centre of Excellence in Agriculture and Food Integrity, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, 19 Chlorine Gardens, Belfast, Northern Ireland BT9 5DL, UK; School of Food Science and Technology, Faculty of Science and Technology, Thammasat University (Rangsit Campus), Khlong Luang, Pathum Thani 12120, Thailand
| | - Di Wu
- National Measurement Laboratory: Centre of Excellence in Agriculture and Food Integrity, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, 19 Chlorine Gardens, Belfast, Northern Ireland BT9 5DL, UK.
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Maritano V, Barge P, Biglia A, Comba L, Ricauda Aimonino D, Tortia C, Gay P. Anticounterfeiting and Fraud Mitigation Solutions for High-value Food Products. J Food Prot 2024; 87:100251. [PMID: 38403269 DOI: 10.1016/j.jfp.2024.100251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 02/15/2024] [Accepted: 02/19/2024] [Indexed: 02/27/2024]
Abstract
Globalization and the increasing complexity of supply chains have allowed food fraud to expand to a great extent. Some of the most serious effects of these deceitful activities are damage to a brand's reputation and trust, economic losses, and public health risks. The usual victims of food fraud are dairy, meat, fish, and seafood products, as well as fats/oils and alcoholic drinks. The purpose of this review paper is to present an updated analysis of the currently available anticounterfeit technologies and their application to the four most fraud-affected food supply chains. An assessment that was conducted to determine when the adoption of a combination of technologies could enhance food safety and brand protection is also provided. The obtained results indicate that electronic and data-driven technologies (RFID devices and digital traceability systems) are still in their infancy in the food sectors that are subjected the most to fraudulent activities. Research is necessary to develop innovative digital and physical technologies to "outsmart" such fraudsters and to prevent their illicit actions in the food sector.
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Affiliation(s)
- V Maritano
- Department of Agricultural, Forest and Food Sciences (DiSAFA) - Università degli Studi di Torino, Largo Paolo Braccini 2, 10095 Grugliasco (TO), Italy.
| | - P Barge
- Department of Agricultural, Forest and Food Sciences (DiSAFA) - Università degli Studi di Torino, Largo Paolo Braccini 2, 10095 Grugliasco (TO), Italy
| | - A Biglia
- Department of Agricultural, Forest and Food Sciences (DiSAFA) - Università degli Studi di Torino, Largo Paolo Braccini 2, 10095 Grugliasco (TO), Italy
| | - L Comba
- Department of Agricultural, Forest and Food Sciences (DiSAFA) - Università degli Studi di Torino, Largo Paolo Braccini 2, 10095 Grugliasco (TO), Italy
| | - D Ricauda Aimonino
- Department of Agricultural, Forest and Food Sciences (DiSAFA) - Università degli Studi di Torino, Largo Paolo Braccini 2, 10095 Grugliasco (TO), Italy
| | - C Tortia
- Department of Agricultural, Forest and Food Sciences (DiSAFA) - Università degli Studi di Torino, Largo Paolo Braccini 2, 10095 Grugliasco (TO), Italy.
| | - P Gay
- Department of Agricultural, Forest and Food Sciences (DiSAFA) - Università degli Studi di Torino, Largo Paolo Braccini 2, 10095 Grugliasco (TO), Italy
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Abedini A, Salimi M, Mazaheri Y, Sadighara P, Alizadeh Sani M, Assadpour E, Jafari SM. Assessment of cheese frauds, and relevant detection methods: A systematic review. Food Chem X 2023; 19:100825. [PMID: 37780280 PMCID: PMC10534187 DOI: 10.1016/j.fochx.2023.100825] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 07/28/2023] [Accepted: 08/02/2023] [Indexed: 10/03/2023] Open
Abstract
Dairy products are widely consumed in the world due to their nutritional and functional characteristics. This group of food products are consumed by all age groups due to their health-giving properties. One of these products is cheese which has a high price compared to other dairy products. Because of this, it can be prone to fraud all over the world. Fraud in food products threatens the world's food safety and can cause serious damage to human health. There are many concerns among food authorities in the world about the fraud of food products. FDA, WHO, and the European Commission provide different legislations and definitions for fraud. The purpose of this review is to identify the most susceptible cheese type for fraud and effective methods for evaluating fraud in all types of cheeses. For this, we examined the Web of Science, Scopus, PubMed, and ScienceDirect databases. Mozzarella cheese had the largest share among all cheeses in terms of adulteration due to its many uses. Also, the methods used to evaluate different types of cheese frauds were PCR, Spectrometry, stable isotope, image analysis, electrophoretic, ELISA, sensors, sensory analysis, near-infrared and NMR. The methods that were most used in detecting fraud were PCR and spectrometry methods. Also, the least used method was sensory evaluation.
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Affiliation(s)
- Amirhossein Abedini
- Students Scientific Research Center (SSRC), Tehran University of Medical Sciences, Tehran, Iran
- Division of Food Safety and Hygiene, Department of Environmental Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahla Salimi
- Student Research Committee, Department of Food Science and Technology, National Nutrition and Food Technology Research Institute, Faculty of Nutrition Science and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Yeganeh Mazaheri
- Division of Food Safety and Hygiene, Department of Environmental Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Parisa Sadighara
- Division of Food Safety and Hygiene, Department of Environmental Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahmood Alizadeh Sani
- Division of Food Safety and Hygiene, Department of Environmental Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Elham Assadpour
- Food Industry Research Co., Gorgan, Iran
- Food and Bio-Nanotech International Research Center (Fabiano), Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran
| | - Seid Mahdi Jafari
- Department of Food Materials and Process Design Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran
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Gorini T, Mezzasalma V, Deligia M, De Mattia F, Campone L, Labra M, Frigerio J. Check Your Shopping Cart: DNA Barcoding and Mini-Barcoding for Food Authentication. Foods 2023; 12:2392. [PMID: 37372604 DOI: 10.3390/foods12122392] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 06/07/2023] [Accepted: 06/14/2023] [Indexed: 06/29/2023] Open
Abstract
The molecular approach of DNA barcoding for the characterization and traceability of food products has come into common use in many European countries. However, it is important to address and solve technical and scientific issues such as the efficiency of the barcode sequences and DNA extraction methods to be able to analyze all the products that the food sector offers. The goal of this study is to collect the most defrauded and common food products and identify better workflows for species identification. A total of 212 specimens were collected in collaboration with 38 companies belonging to 5 different fields: seafood, botanicals, agrifood, spices, and probiotics. For all the typologies of specimens, the most suitable workflow was defined, and three species-specific primer pairs for fish were also designed. Results showed that 21.2% of the analyzed products were defrauded. A total of 88.2% of specimens were correctly identified by DNA barcoding analysis. Botanicals (28.8%) have the highest number of non-conformances, followed by spices (28.5%), agrifood (23.5%), seafood (11.4%), and probiotics (7.7%). DNA barcoding and mini-barcoding are confirmed as fast and reliable methods for ensuring quality and safety in the food field.
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Affiliation(s)
- Tommaso Gorini
- FEM2-Ambiente, Piazza della Scienza 2, 20126 Milano, Italy
| | | | - Marta Deligia
- Department of Scienze Agrarie, Forestali e Alimentari, University of Turin, Via Verdi 8, 10124 Torino, Italy
| | | | - Luca Campone
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy
| | - Massimo Labra
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy
| | - Jessica Frigerio
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy
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Soon-Sinclair JM, Nyarugwe S, Jack L. Food fraud and mitigating strategies of UK food supply chain during COVID-19. Food Control 2023; 148:109670. [PMID: 36748095 PMCID: PMC9894533 DOI: 10.1016/j.foodcont.2023.109670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 01/06/2023] [Accepted: 01/31/2023] [Indexed: 02/05/2023]
Abstract
Covid-19 had shown the vulnerability of the food supply chain and fraudsters may take advantage of the pandemic whilst the population needed a continuous supply of safe and quality food. The lack of monitoring and policing in the food supply chain may encourage fraudsters to upscale their operations. Previous studies had warned of a surge in fraudulent products due to COVID-19. This raised the question on whether food fraud had increased during the pandemic? This study aims to investigate food fraud during COVID-19 and how the food supply chain develops mitigating strategies against fraudulent activities. A mixed-method approach including survey and semi-structured interviews were conducted among UK food businesses. Two hundred and two agri-food businesses responded to the survey and 15 semi-structured interviews were conducted. The majority of the food businesses did not experience an increase of food fraud activities during COVID-19. Two thematic domains and ten sub-themes were identified from the data set. There was a heightened sense of anticipation and preparation for increased fraudulent activities during the pandemic. The main risk mitigating strategies included horizon scanning; developing and maintaining supplier relationship and assurance; understanding product characteristics, testing capabilities, conducting vulnerability assessments and training. Practical and cost-effective strategies for small and medium food businesses were recommended. This is the first empirical study on food fraud and mitigating strategies of the UK food supply chain during the pandemic. Our findings provide evidence for informing the policies and practices of the food regulatory authorities as well as best practices to protect the UK food supply chain against food fraud during exogenous shocks like COVID-19.
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Affiliation(s)
- Jan Mei Soon-Sinclair
- Faculty of Allied-Health and Wellbeing, University of Central Lancashire, Preston, PR1 2HE, UK
| | - Shingai Nyarugwe
- Faculty of Allied-Health and Wellbeing, University of Central Lancashire, Preston, PR1 2HE, UK
| | - Lisa Jack
- School of Accounting, Economics and Finance, Faculty of Business and Law, University of Portsmouth, Portsmouth, PO1 3DE, UK
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Kępińska-Pacelik J, Biel W, Natonek-Wiśniewska M, Krzyścin P. Assessment of adulteration in the composition of dog food based on DNA identification by real-time PCR. Anim Feed Sci Technol 2023. [DOI: 10.1016/j.anifeedsci.2023.115609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
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