Food Fraud and Food Authenticity across the Food Supply Chain

A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Quality and Safety".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 52465

Special Issue Editors


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Guest Editor
Dipartimento di Scienze del Farmaco, Università del Piemonte Orientale Amedeo Avogadro, 28100 Novara, Italy
Interests: food chemistry; analytical methods for authenticity/traceability; bioactive ingredients for food and nutraceuticals; polyphenols
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Dipartimento di Scienze del Farmaco, Università degli Studi del Piemonte Orientale “A. Avogadro”, Largo Donegani 2, 28100 Novara, Italy
Interests: food chemistry; gas chromatography; liquid chromatography; mass spectrometry; polyphenols; volatile compounds; wine chemistry; extraction; fermentation; prebiotic compounds
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Food fraud can be defined as any suspected intentional action—by businesses or individuals—for the purpose of deceiving purchasers and gaining undue advantage therefrom, in violation of the agri-food chain legislation. These intentional infringements of the agri-food chain legislation may hinder the proper functioning of the internal market and may also constitute a risk to human, animal, or plant health; animal welfare; or the environment as regards GMOs and plant protection products/residues of veterinary drugs. Dilution, substitution, concealment, unapproved enhancement, counterfeit, and mislabeling represent different forms of common food frauds. Many recent scandals reported a significant risk for consumers. The overall analytical control of the food supply chain (starting from the field/producers and reaching the tables of the consumers) is, therefore, a critical requirement.

The concept of the “integrity” of foods is of primary interest for worldwide consumers, and is strictly correlated with food fraud and food safety issues. The awareness of food origin and authenticity from the consumer’s perspective (but also from that of the food producer, distributor and retailer) has become increasingly strategic during the last 10 years. Moreover, when the idea of the “circular economy” took hold (particularly regarding the re-use and valorization of by- and co-products), the ability to trace food ingredients/complex foods and their origin has become a strict necessity. The capacity to track and authenticate ingredients/foods across the food supply chain using analytical and molecular tools (often coupled today with the use of the advanced statistical post-analysis processing, as well as with the use of the artificial intelligence-based approaches) is currently considered the right process to trace quality and safety along food chains. In addition to the process based on the blockchain idea, the application of analytical and biotechnological solutions protects the rights of consumers, in terms of the availability of food characterized by high quality and safety, combatting food fraud.

In light of the above, we invite researchers to submit unpublished original manuscripts on food authenticity and traceability across the food supply chain, to be included in this Special Issue. The subjects covered by this issue include, but are not limited to, the following:

  • Food authenticity and traceability;
  • Ingredients/food fingerprinting;
  • Development of methods for food quality, safety and traceability;
  • Detection of undeclared novel ingredients in foods;
  • Analytical solutions (targeted and untargeted methods) for food authenticity and traceability;
  • Multi-methods approaches and data fusion;
  • Molecular analysis and biotechnological solutions (immunochemistry; PCR-related techniques; nucleic acids probes; micro- and nanosensors, MEMS);
  • Advanced statistical methods, post-analytical processing, Artificial Intelligence-based methods, and machine learning;
  • Blockchain, coupled with analytical approaches.

Prof. Dr. Marco Arlorio
Dr. Matteo Bordiga
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Foods is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • food authenticity and traceability
  • ingredients/food fingerprinting
  • development of methods for food quality, safety and traceability
  • detection of undeclared novel ingredients in foods
  • analytical solutions (targeted and untargeted methods)
  • multi-methods approaches and data fusion
  • molecular analysis and biotechnological solutions (immunochemistry
  • PCR-related techniques
  • nucleic acids probes
  • micro- and nanosensors, MEMS)
  • advanced statistical methods, post-analytical processing, Artificial Intelligence-based methods, and machine learning
  • blockchain, coupled with analytical approaches

Published Papers (15 papers)

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Research

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18 pages, 2862 KiB  
Article
1H NMR Metabolomics on Pigs’ Liver Exposed to Antibiotics Administration: An Explorative Study
by Maria Pia Fabrile, Sergio Ghidini, Augusta Caligiani, Federico Scali, Maria Olga Varrà, Veronica Lolli, Giovanni Loris Alborali, Adriana Ianieri and Emanuela Zanardi
Foods 2023, 12(23), 4259; https://doi.org/10.3390/foods12234259 - 25 Nov 2023
Viewed by 1127
Abstract
An untargeted Nuclear Magnetic Resonance (NMR) spectroscopy-based metabolomics approach was applied as a first attempt to explore the metabolome of pigs treated with antibiotics. The final goal was to investigate the possibility of discriminating between antibiotic-treated (TX group) and untreated pigs (CTRL group), [...] Read more.
An untargeted Nuclear Magnetic Resonance (NMR) spectroscopy-based metabolomics approach was applied as a first attempt to explore the metabolome of pigs treated with antibiotics. The final goal was to investigate the possibility of discriminating between antibiotic-treated (TX group) and untreated pigs (CTRL group), with the further perspective of identifying the authentication tools for antibiotic-free pork supply chains. In particular, 41 samples of pig liver were subjected to a biphasic extraction to recover both the polar and the non-polar metabolites, and the 1H NMR spectroscopy analysis was performed on the two separate extracts. Unsupervised (principal component analysis) and supervised (orthogonal partial least squares discriminant analysis) multivariate statistical analysis of 1H NMR spectra data in the range 0–9 ppm provided metabolomic fingerprinting useful for the discrimination of pig livers based on the antibiotic treatment to which they were exposed. Moreover, within the signature patterns, significant discriminating metabolites were identified among carbohydrates, choline and derivatives, amino acids and some lipid-class molecules. The encouraging findings of this exploratory study showed the feasibility of the untargeted metabolomic approach as a novel strategy in the authentication framework of pork supply chains and open a new horizon for a more in-depth investigation. Full article
(This article belongs to the Special Issue Food Fraud and Food Authenticity across the Food Supply Chain)
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27 pages, 1720 KiB  
Article
Agri-Food Value Chain Traceability Using Blockchain Technology: Portuguese Hams’ Production Scenario
by Miguel Arvana, Andre Dionisio Rocha and Jose Barata
Foods 2023, 12(23), 4246; https://doi.org/10.3390/foods12234246 - 24 Nov 2023
Viewed by 1142
Abstract
The globalization of food markets has led companies to buy products not only locally, but also from other corners of the world. This has introduced complexity into supply chains, as products have to move longer distances and pass through more companies before reaching [...] Read more.
The globalization of food markets has led companies to buy products not only locally, but also from other corners of the world. This has introduced complexity into supply chains, as products have to move longer distances and pass through more companies before reaching the end consumer. The meat industry has been no different. Events such as animal disease outbreaks have diminished consumer confidence in the industry and the supply chain. Coupled with this, consumers started demanding “more transparent” meat products. This has led companies to think about new traceability systems, which continue to enforce food safety and health rules, but at the same time enhance and make transparent to the consumer the origin and constitution of their products. This article proposes a traceability system in the agri-food (meat industry) with a multi-chain architecture, among them, blockchain. The use of blockchain in the traceability system helped to mitigate the omission of relevant data for the traceability process, allowing us to guarantee the immutability, reliability, and transparency of the data along the value chain. At the same time, the system was able to reduce the time of the traceability process by giving the user the possibility to access the traced information via a unique product identifier. Full article
(This article belongs to the Special Issue Food Fraud and Food Authenticity across the Food Supply Chain)
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15 pages, 2561 KiB  
Article
Mitochondrial Analysis of Sparidae Species to Detect a New DNA Barcoding Marker for Dentex gibbosus to Utilize against Fraud
by Iolanda Venuti, Marina Ceruso, Tiziana Muscariello, Rosa Luisa Ambrosio, Angela Di Pinto and Tiziana Pepe
Foods 2023, 12(18), 3441; https://doi.org/10.3390/foods12183441 - 15 Sep 2023
Cited by 1 | Viewed by 690
Abstract
Dentex gibbosus (Pink dentex) is a fish species of increasing economic interest in the Mediterranean Sea that is consumed both whole and processed. The growing value of this sparid in European markets is responsible for its substitution with fraudulent species. The distinctive morphologic [...] Read more.
Dentex gibbosus (Pink dentex) is a fish species of increasing economic interest in the Mediterranean Sea that is consumed both whole and processed. The growing value of this sparid in European markets is responsible for its substitution with fraudulent species. The distinctive morphologic feature of D. gibbosus is the conspicuous hump on the forehead in the older and larger specimens. However, the head is regularly convex in young individuals, requiring high skills and competencies for correct identification. Authentication becomes even more challenging in the case of prepared and processed products. Therefore, the molecular characterization of Pink dentex plays a crucial role in preventing commercial fraud with species substitution. This paper proposes a comparative mitogenome analysis between 19 sparid species of commercial interest as a tool to accurately design species-specific primers targeting a fragment of the NAD2 gene for the identification of D. gibbosus. We successfully detected Pink dentex DNA both using endpoint and real-time PCR. The findings showed the high specificity of the designed primers, demonstrating this a suitable, fast, and cost-effective method that could be used for the unambiguous identification of Pink dentex. This innovative approach for sparid authentication is expected to contribute to seafood traceability, public health assurance, integrity, and the credibility of the seafood industry. Full article
(This article belongs to the Special Issue Food Fraud and Food Authenticity across the Food Supply Chain)
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13 pages, 2025 KiB  
Article
Novel Method Based on Ion Mobility Spectrometry Combined with Machine Learning for the Discrimination of Fruit Juices
by José Luis P. Calle, Mercedes Vázquez-Espinosa, Marta Barea-Sepúlveda, Ana Ruiz-Rodríguez, Marta Ferreiro-González and Miguel Palma
Foods 2023, 12(13), 2536; https://doi.org/10.3390/foods12132536 - 29 Jun 2023
Cited by 5 | Viewed by 1137
Abstract
Fruit juices are one of the most widely consumed beverages worldwide, and their production is subject to strict regulations. Therefore, this study presents a methodology based on the use of headspace–gas chromatography–ion mobility spectrometry (HS-GC-IMS) in combination with machine-learning algorithms for the characterization [...] Read more.
Fruit juices are one of the most widely consumed beverages worldwide, and their production is subject to strict regulations. Therefore, this study presents a methodology based on the use of headspace–gas chromatography–ion mobility spectrometry (HS-GC-IMS) in combination with machine-learning algorithms for the characterization juices of different raw material (orange, pineapple, or apple and grape). For this purpose, the ion mobility sum spectrum (IMSS) was used. First, an optimization of the most important conditions in generating the HS was carried out using a Box–Behnken design coupled with a response surface methodology. The following factors were studied: temperature, time, and sample volume. The optimum values were 46.3 °C, 5 min, and 750 µL, respectively. Once the conditions were optimized, 76 samples of the different types of juices were analyzed and the IMSS was combined with different machine-learning algorithms for its characterization. The exploratory analysis by hierarchical cluster analysis (HCA) and principal component analysis (PCA) revealed a clear tendency to group the samples according to the type of fruit juice and, to a lesser extent, the commercial brand. The combination of IMSS with supervised classification techniques reported an excellent result with 100% accuracy on the test set for support vector machines (SVM) and random forest (RF) models regarding the specific fruit used. Nevertheless, all the models have proven to be an effective alternative for characterizing and classifying the different types of juices. Full article
(This article belongs to the Special Issue Food Fraud and Food Authenticity across the Food Supply Chain)
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12 pages, 1259 KiB  
Article
Application of Stable Isotope Analysis for Detecting the Geographical Origin of the Greek Currants “Vostizza”: A Preliminary Study
by Anna-Akrivi Thomatou, Eleni C. Mazarakioti, Anastasios Zotos, Achilleas Kontogeorgos, Angelos Patakas and Athanasios Ladavos
Foods 2023, 12(8), 1672; https://doi.org/10.3390/foods12081672 - 17 Apr 2023
Cited by 1 | Viewed by 1137
Abstract
There is a plethora of food products with geographical indications registered in the European Union without any study about their discrimination from other similar products. This is also the case for Greek currants. This paper aims to analyze if stable isotope analysis of [...] Read more.
There is a plethora of food products with geographical indications registered in the European Union without any study about their discrimination from other similar products. This is also the case for Greek currants. This paper aims to analyze if stable isotope analysis of C, N, and S could discriminate the Greek currants “Vositzza”, registered as a product of Protected Designation of Origin, from two other currants registered as products of Protected Geographical Indication coming from neighboring areas. The first results show that the stable isotope ratio of sulfur is not detectable due to the very low sulfur content in the samples, and the analysis should be based on the stable isotope ratios of carbon and nitrogen to discriminate these products. The mean value of δ15N (1.38‰) of PDO “Vostizza” currants is lower than that of currants grown outside the PDO zone (2.01‰), while the mean value of δ13C of PDO “Vostizza” currants is higher (−23.93‰) in comparison to that of currants grown outside the PDO zone (−24.83‰). Nevertheless, the results indicate that with only two isotopic ratios, discrimination could not be achieved, and further analysis is required. Full article
(This article belongs to the Special Issue Food Fraud and Food Authenticity across the Food Supply Chain)
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19 pages, 1051 KiB  
Article
An Authentication Survey on Retail Seafood Products Sold on the Bulgarian Market Underlines the Need for Upgrading the Traceability System
by Lara Tinacci, Deyan Stratev, Mariyana Strateva, Georgi Zhelyazkov, Ralica Kyuchukova and Andrea Armani
Foods 2023, 12(5), 1070; https://doi.org/10.3390/foods12051070 - 2 Mar 2023
Cited by 3 | Viewed by 1746
Abstract
Economically motivated or accidental species substitutions lead to economic and potential health damage to consumers with a loss of confidence in the fishery supply chain. In the present study, a three–year survey on 199 retail seafood products sold on the Bulgarian market was [...] Read more.
Economically motivated or accidental species substitutions lead to economic and potential health damage to consumers with a loss of confidence in the fishery supply chain. In the present study, a three–year survey on 199 retail seafood products sold on the Bulgarian market was addressed to assess: (1) product authenticity by molecular identification; (2) trade name compliance to the list of official trade names accepted in the territory; (3) adherence of the list in force to the market supply. DNA barcoding on mitochondrial and nuclear genes was applied for the identification of whitefish (WF), crustaceans (C) and mollusks (cephalopods—MC; gastropods—MG; bivalves—MB) except for Mytilus sp. products for which the analysis was conducted with a previously validated RFLP PCR protocol. Identification at the species level was obtained for 94.5% of the products. Failures in species allocation were reconducted due to low resolution and reliability or the absence of reference sequences. The study highlighted an overall mislabeling rate of 11%. WF showed the highest mislabeling rate (14%), followed by MB (12.5%), MC (10%) and C (7.9%). This evidence emphasized the use of DNA–based methods as tools for seafood authentication. The presence of non–compliant trade names and the ineffectiveness of the list to describe the market species varieties attested to the need to improve seafood labeling and traceability at the national level. Full article
(This article belongs to the Special Issue Food Fraud and Food Authenticity across the Food Supply Chain)
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14 pages, 5122 KiB  
Article
Hyperspectral Microscopy Technology to Detect Syrups Adulteration of Endemic Guindo Santo and Quillay Honey Using Machine-Learning Tools
by Guillermo Machuca, Juan Staforelli, Mauricio Rondanelli-Reyes, Rene Garces, Braulio Contreras-Trigo, Jorge Tapia, Ignacio Sanhueza, Anselmo Jara, Iván Lamas, Jose Max Troncoso and Pablo Coelho
Foods 2022, 11(23), 3868; https://doi.org/10.3390/foods11233868 - 30 Nov 2022
Cited by 3 | Viewed by 1732
Abstract
Honey adulteration is a common practice that affects food quality and sale prices, and certifying the origin of the honey using non-destructive methods is critical. Guindo Santo and Quillay are fundamental for the honey production of Biobío and the Ñuble region in Chile. [...] Read more.
Honey adulteration is a common practice that affects food quality and sale prices, and certifying the origin of the honey using non-destructive methods is critical. Guindo Santo and Quillay are fundamental for the honey production of Biobío and the Ñuble region in Chile. Furthermore, Guindo Santo only exists in this area of the world. Therefore, certifying honey of this species is crucial for beekeeper communities—mostly natives—to give them advantages and competitiveness in the global market. To solve this necessity, we present a system for detecting adulterated endemic honey that combines different artificial intelligence networks with a confocal optical microscope and a tunable optical filter for hyperspectral data acquisition. Honey samples artificially adulterated with syrups at concentrations undetectable to the naked eye were used for validating different artificial intelligence models. Comparing Linear discriminant analysis (LDA), Support vector machine (SVM), and Neural Network (NN), we reach the best average accuracy value with SVM of 93% for all classes in both kinds of honey. We hope these results will be the starting point of a method for honey certification in Chile in an automated way and with high precision. Full article
(This article belongs to the Special Issue Food Fraud and Food Authenticity across the Food Supply Chain)
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12 pages, 249 KiB  
Article
Knowledge, Attitudes and Practices of the Lebanese Community toward Food Adulteration
by May Khanafer, Marwa Diab El Harake, Imad Toufeili and Samer A. Kharroubi
Foods 2022, 11(20), 3178; https://doi.org/10.3390/foods11203178 - 12 Oct 2022
Cited by 2 | Viewed by 2438
Abstract
Food adulteration is the purposeful act of decreasing the quality of food goods offered for sale, whether by adding or replacing inferior substances or by the removal of some valuable ingredient. A limited number of studies have explored the knowledge, attitudes and practices [...] Read more.
Food adulteration is the purposeful act of decreasing the quality of food goods offered for sale, whether by adding or replacing inferior substances or by the removal of some valuable ingredient. A limited number of studies have explored the knowledge, attitudes and practices (KAPs) concerning food adulteration in Lebanon. The objectives of the present study were to determine the knowledge, attitudes and practices of identifying adulteration in the process of food purchase by Lebanese adult consumers, and to identify factors associated with food adulteration. An online survey (n = 499) was administered among Lebanese adults aged 18 years and above. Results showed that the majority had a low food adulteration knowledge score (73.1%). During shopping, fewer than half of the participants checked the ingredients (42%) and nutrition facts label (33.9%). Regression analyses showed that six predictors were significantly associated with participants’ knowledge scores including gender, age, marital status, education (undergraduate and master degree) and employment status (student). The results of this study show that knowledge and practices of identifying adulteration in the process of food purchase by consumers are lacking among most respondents. Increasing knowledge, awareness and motivation to identify food adulteration products during food shopping will empower consumers to improve buying practices, especially for the public with a lower level of education. Full article
(This article belongs to the Special Issue Food Fraud and Food Authenticity across the Food Supply Chain)
29 pages, 2749 KiB  
Article
Blockchain-Enabled Supply Chain platform for Indian Dairy Industry: Safety and Traceability
by Abhirup Khanna, Sapna Jain, Alessandro Burgio, Vadim Bolshev and Vladimir Panchenko
Foods 2022, 11(17), 2716; https://doi.org/10.3390/foods11172716 - 5 Sep 2022
Cited by 26 | Viewed by 7895
Abstract
Conventional food supply chains are centralized in nature and possess challenges pertaining to a single point of failure, product irregularities, quality compromises, and loss of data. Numerous cases of food fraud, contamination, and adulteration are daily reported from multiple parts of India, suggesting [...] Read more.
Conventional food supply chains are centralized in nature and possess challenges pertaining to a single point of failure, product irregularities, quality compromises, and loss of data. Numerous cases of food fraud, contamination, and adulteration are daily reported from multiple parts of India, suggesting the absolute need for an upgraded decentralized supply chain model. A country such as India, where its biggest strength is its demographic dividend, cannot afford to malnutrition a large population of its children by allowing them to consume contaminated and adulterated dairy products. In view of the gravity of the situation, we propose a blockchain-enabled supply chain platform for the dairy industry. With respect to the supply chain platform, the dairy products of choice include milk, cheese, and butter. Blockchain is one of the fastest growing technologies having widespread acceptance across multiple industry verticals. Blockchain possesses the power to transform traditional supply chains into decentralized, robust, transparent, tamper proof, and sustainable supply chains. The proposed supply chain platform goes beyond the aspect of food traceability and focuses on maintaining the nutritional values of dairy products, identification of adulteration and contamination in dairy products, the increasing economic viability of running a dairy farm, preventing counterfeit dairy products, and enhancing the revenue of the dairy company. The paper collates the mentioned functionalities into four distinct impact dimensions: social, economic, operations, and sustainability. The proposed blockchain-enabled dairy supply chain platform combines the use of smart contracts, quick response code (QR code) technology, and IoT and has the potential to redefine the dairy supply chains on socio-economic, operational, and sustainability parameters. Full article
(This article belongs to the Special Issue Food Fraud and Food Authenticity across the Food Supply Chain)
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12 pages, 3075 KiB  
Article
Detection and Quantitation of Adulterated Paprika Samples Using Second-Order HPLC-FLD Fingerprints and Chemometrics
by Xiaodong Sun, Min Zhang, Pengjiao Wang, Junhua Chen, Shengjun Yang, Peng Luo and Xiuli Gao
Foods 2022, 11(15), 2376; https://doi.org/10.3390/foods11152376 - 8 Aug 2022
Cited by 6 | Viewed by 2206
Abstract
Paprika is a widely consumed spice in the world and its authentication has gained interest considering the increase in adulteration cases in recent years. In this study, second-order fingerprints acquired by liquid chromatography with fluorescence detection (HPLC-FLD) were first used to detect and [...] Read more.
Paprika is a widely consumed spice in the world and its authentication has gained interest considering the increase in adulteration cases in recent years. In this study, second-order fingerprints acquired by liquid chromatography with fluorescence detection (HPLC-FLD) were first used to detect and quantify adulteration levels of Chinese paprika samples. Six different adulteration cases, involving paprika production region, cultivar, or both, were investigated by pairs. Two strategies were employed to reduce the data matrices: (1) chromatographic fingerprints collected at specific wavelengths and (2) fusion of the mean data profiles in both spectral and time dimensions. Afterward, the fingerprint data with different data orders were analyzed using partial least squares (PLS) and n-way partial least squares (N-PLS) regression models, respectively. For most adulteration cases, N-PLS based on second-order fingerprints provided the overall best quantitation results with cross-validation and prediction errors lower than 2.27% and 20.28%, respectively, for external validation sets with 15–85% adulteration levels. To conclude, second-order HPLC-FLD fingerprints coupled with chemometrics can be a promising screening technique to assess paprika quality and authenticity in the control and prevention of food frauds. Full article
(This article belongs to the Special Issue Food Fraud and Food Authenticity across the Food Supply Chain)
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Review

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12 pages, 283 KiB  
Review
Incidents and Potential Adverse Health Effects of Serious Food Fraud Cases Originated in Asia
by Varongsiri Kemsawasd, Vijay Jayasena and Weeraya Karnpanit
Foods 2023, 12(19), 3522; https://doi.org/10.3390/foods12193522 - 22 Sep 2023
Cited by 2 | Viewed by 3536
Abstract
Food fraud has long been regarded as a major issue within the food industry and is associated with serious economic and public health concerns. Economically motivated adulteration, the most common form of food fraud, has consequences for human health, ranging from mild to [...] Read more.
Food fraud has long been regarded as a major issue within the food industry and is associated with serious economic and public health concerns. Economically motivated adulteration, the most common form of food fraud, has consequences for human health, ranging from mild to life-threatening conditions. Despite the potential harm and public health threats posed by food fraud, limited information on incidents causing illness has been reported. Enhancing the food control system on the Asian continent has become crucial for global health and trade considerations. Food fraud databases serve as valuable tools, assisting both the food industry and regulatory bodies in mitigating the vulnerabilities associated with fraudulent practices. However, the availability of accessible food fraud databases for Asian countries has been restricted. This review highlights detrimental food fraud cases originating in Asian countries, including sibutramine in dietary supplements, plasticizer contamination, gutter oil, and the adulteration of milk. This comprehensive analysis encompasses various facets, such as incident occurrences, adverse health effects, regulatory frameworks, and mitigation strategies. Full article
(This article belongs to the Special Issue Food Fraud and Food Authenticity across the Food Supply Chain)
38 pages, 1697 KiB  
Review
Spice and Herb Frauds: Types, Incidence, and Detection: The State of the Art
by Rocío Velázquez, Alicia Rodríguez, Alejandro Hernández, Rocío Casquete, María J. Benito and Alberto Martín
Foods 2023, 12(18), 3373; https://doi.org/10.3390/foods12183373 - 8 Sep 2023
Cited by 3 | Viewed by 5985
Abstract
There is a necessity to protect the quality and authenticity of herbs and spices because of the increase in the fraud and adulteration incidence during the last 30 years. There are several aspects that make herbs and spices quite vulnerable to fraud and [...] Read more.
There is a necessity to protect the quality and authenticity of herbs and spices because of the increase in the fraud and adulteration incidence during the last 30 years. There are several aspects that make herbs and spices quite vulnerable to fraud and adulteration, including their positive and desirable sensorial and health-related properties, the form in which they are sold, which is mostly powdered, and their economic relevance around the world, even in developing countries. For these reasons, sensitive, rapid, and reliable techniques are needed to verify the authenticity of these agri-food products and implement effective adulteration prevention measures. This review highlights why spices and herbs are highly valued ingredients, their economic importance, and the official quality schemes to protect their quality and authenticity. In addition to this, the type of frauds that can take place with spices and herbs have been disclosed, and the fraud incidence and an overview of scientific articles related to fraud and adulteration based on the Rapid Alert System Feed and Food (RASFF) and the Web of Science databases, respectively, during the last 30 years, is carried out here. Next, the methods used to detect adulterants in spices and herbs are reviewed, with DNA-based techniques and mainly spectroscopy and image analysis methods being the most recommended. Finally, the available adulteration prevention measurements for spices and herbs are presented, and future perspectives are also discussed. Full article
(This article belongs to the Special Issue Food Fraud and Food Authenticity across the Food Supply Chain)
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23 pages, 979 KiB  
Review
Authentication of Cocoa Products Based on Profiling and Fingerprinting Approaches: Assessment of Geographical, Varietal, Agricultural and Processing Features
by Sonia Sentellas and Javier Saurina
Foods 2023, 12(16), 3120; https://doi.org/10.3390/foods12163120 - 20 Aug 2023
Cited by 2 | Viewed by 1823
Abstract
Cocoa and its derivative products, especially chocolate, are highly appreciated by consumers for their exceptional organoleptic qualities, thus being often considered delicacies. They are also regarded as superfoods due to their nutritional and health properties. Cocoa is susceptible to adulteration to obtain illicit [...] Read more.
Cocoa and its derivative products, especially chocolate, are highly appreciated by consumers for their exceptional organoleptic qualities, thus being often considered delicacies. They are also regarded as superfoods due to their nutritional and health properties. Cocoa is susceptible to adulteration to obtain illicit economic benefits, so strategies capable of authenticating its attributes are needed. Features such as cocoa variety, origin, fair trade, and organic production are increasingly important in our society, so they need to be guaranteed. Most of the methods dealing with food authentication rely on profiling and fingerprinting approaches. The compositional profiles of natural components –such as polyphenols, biogenic amines, amino acids, volatile organic compounds, and fatty acids– are the source of information to address these issues. As for fingerprinting, analytical techniques, such as chromatography, infrared, Raman, and mass spectrometry, generate rich fingerprints containing dozens of features to be used for discrimination purposes. In the two cases, the data generated are complex, so chemometric methods are usually applied to extract the underlying information. In this review, we present the state of the art of cocoa and chocolate authentication, highlighting the pros and cons of the different approaches. Besides, the relevance of the proposed methods in quality control and the novel trends for sample analysis are also discussed. Full article
(This article belongs to the Special Issue Food Fraud and Food Authenticity across the Food Supply Chain)
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28 pages, 3457 KiB  
Review
Blockchain-Based Frameworks for Food Traceability: A Systematic Review
by Rizwan Matloob Ellahi, Lincoln C. Wood and Alaa El-Din Ahmed Bekhit
Foods 2023, 12(16), 3026; https://doi.org/10.3390/foods12163026 - 11 Aug 2023
Cited by 10 | Viewed by 7173
Abstract
With the rise of globalization and technological competition, the food supply chain has grown more complex due to the multiple players and factors involved in the chain. Traditional systems fail to offer effective and reliable traceability solutions considering the increasing requirement for accountability [...] Read more.
With the rise of globalization and technological competition, the food supply chain has grown more complex due to the multiple players and factors involved in the chain. Traditional systems fail to offer effective and reliable traceability solutions considering the increasing requirement for accountability and transparency in the food supply chain. Blockchain technology has been claimed to offer the food industry a transformative future. The inherent features of blockchain, including immutability and transparency, create a dependable and secure system for tracking food products across the whole supply chain, ensuring total control over their traceability from the origin to the final consumer. This research offers a comprehensive overview of multiple models to understand how the integration of blockchain and other digital technologies has transformed the food supply chain. This comprehensive systematic review of blockchain-based food-supply-chain frameworks aimed to uncover the capability of blockchain technology to revolutionize the industry and examined the current landscape of blockchain-based food traceability solutions to identify areas for improvement. Furthermore, the research investigates recent advancements and investigates how blockchain aligns with other emerging technologies of Industry 4.0 and Web 3.0. Blockchain technology plays an important role in improving food traceability and supply-chain operations. Potential synergies between blockchain and other emerging technologies of Industry 4.0 and Web 3.0 are digitizing food supply chains, which results in better management, automation, efficiencies, sustainability, verifiability, auditability, accountability, traceability, transparency, tracking, monitoring, response times and provenance across food supply chains. Full article
(This article belongs to the Special Issue Food Fraud and Food Authenticity across the Food Supply Chain)
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45 pages, 1757 KiB  
Review
Identification of Fish Species and Targeted Genetic Modifications Based on DNA Analysis: State of the Art
by Eliska Cermakova, Simona Lencova, Subham Mukherjee, Petra Horka, Simon Vobruba, Katerina Demnerova and Kamila Zdenkova
Foods 2023, 12(1), 228; https://doi.org/10.3390/foods12010228 - 3 Jan 2023
Cited by 20 | Viewed by 9740
Abstract
Food adulteration is one of the most serious problems regarding food safety and quality worldwide. Besides misleading consumers, it poses a considerable health risk associated with the potential non-labeled allergen content. Fish and fish products are one of the most expensive and widely [...] Read more.
Food adulteration is one of the most serious problems regarding food safety and quality worldwide. Besides misleading consumers, it poses a considerable health risk associated with the potential non-labeled allergen content. Fish and fish products are one of the most expensive and widely traded commodities, which predisposes them to being adulterated. Among all fraud types, replacing high-quality or rare fish with a less valuable species predominates. Because fish differ in their allergen content, specifically the main one, parvalbumin, their replacement can endanger consumers. This underlines the need for reliable, robust control systems for fish species identification. Various methods may be used for the aforementioned purpose. DNA-based methods are favored due to the characteristics of the target molecule, DNA, which is heat resistant, and the fact that through its sequencing, several other traits, including the recognition of genetic modifications, can be determined. Thus, they are considered to be powerful tools for identifying cases of food fraud. In this review, the major DNA-based methods applicable for fish meat and product authentication and their commercial applications are discussed, the possibilities of detecting genetic modifications in fish are evaluated, and future trends are highlighted, emphasizing the need for comprehensive and regularly updated online database resources. Full article
(This article belongs to the Special Issue Food Fraud and Food Authenticity across the Food Supply Chain)
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