• Food Science of Animal Resources
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• v.43 no.6
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• pp.1055-1066
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• 2023

The cultured meat industry is continuously evolving due to the collective efforts of cultured meat companies and academics worldwide. Though still technologically limited, recent reports of regulatory approvals for cultured meat companies have initiated the standards-based approach towards cultured meat production. Incidents of deception in the meat industry call for fool-proof authentication methods to ensure consumer safety, product quality, and traceability. The cultured meat industry is not exempt from the threats of food fraud. Meat authentication techniques based on DNA, protein, and metabolite fingerprints of animal meat species needs to be evaluated for their applicability to cultured meat. Technique-based categorization of cultured meat products could ease the identification of appropriate authentication methods. The combination of methods with high sensitivity and specificity is key to increasing the accuracy and precision of meat authentication. The identification of markers (both physical and biochemical) to differentiate conventional meat from cultured meat needs to be established to ensure overall product traceability. The current review briefly discusses some areas in the cultured meat industry that are vulnerable to food fraud. Specifically, it targets the current meat and meat product authentication tests to emphasize the need for ensuring the traceability of cultured meat.

• Food Science and Industry
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• v.47 no.2
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• pp.3-12
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• 2014

• Journal of Food Hygiene and Safety
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• v.35 no.6
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• pp.574-580
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• 2020

In this study we sought to determine the food fraud by discriminating species of commercial seafood product such as Larimichthys polyactis, Larimichthys crocea, Pennahia argentatus, and Miichthys miiuy, which are difficult to morphologically discriminate. After amplifying the mitochondrial cytochrome c oxidase subunit I gene of the reference fish, the DNA sequences of the amplified PCR products were analyzed. As a result, a 655 bp sequence for species identification was selected for use as DNA barcodes. To confirm the DNA data and primer set, the DNA barcode sequence of each fish was compared to that in that in the NCBI. All of the DNA barcode data were matched with the gene sequence of each fish in the NCBI. A total of 32 processed seafood products (8 L. polyactis, 12 L. crocea, 3 Pennahia argentatus, and 9 Miichthys miiuy) were investigated. Homology of 97% or more in DNA sequences was judged as the same species. As a result of the monitoring, there were no discovered cases of forgery or alteration. However, the use of a raw material name having no matching standard name in the Korea Food Code may cause consumer confusion. Therefore, it is suggested that the standard name or scientific name be co-labeled with the raw material name on seafood products to prevent consumer confusion.

• Journal of Food Hygiene and Safety
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• v.36 no.4
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• pp.331-341
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• 2021

DNA barcode sequences of commercial seafood products, which are difficult to morphologically discriminate, were analyzed to determine cases of food fraud. The gene sequences were analyzed by amplifying the COX I (cytochrome C oxidase subunit I) gene region of mitochondrial DNA, which is mainly used for species identification. The DNA barcode sequences were compared with the gene sequence of each fish registered in the US National Center for Biotechnology. A total of 46 processed seafood products (12 Pagrus majo, 4 Oplegnathus fasciatus, 7 Dentex tumifrons, 2 Acanthopagrus schlegelii, 7 Oreochromis niloticus, 6 Branchiostegus japonicus, 8 Branchiostegus albus) were investigated. Having DNA sequence identity of more than 97% was judged as the same species. As a result of this study, no cases of forgery and alteration were detected. However, some disparities in the commercial names used in local markets and the standard names given in the Korea Food Code were found, which may cause confusion for consumers. It is therefore suggested that the standard name or scientific name be displayed on seafood product labels.

• Culinary science and hospitality research
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• v.24 no.2
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• pp.23-33
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• 2018

Food adulteration and food fraud should not be neglected. The present study aimed to investigate the awareness of adulterated food and its management beliefs and capabilities among teenagers' parents. Data were collected from 425 adolescents' parents having different levels of income and education. The results of factor analysis indicated that adulterated food management beliefs was classified into attitude, necessity, and anxiety. The adulterated food management capability was sub-grouped into hygiene and nutrition, knowledge, citizen action and environmental grasp. The adulterated food management capabilities were significantly different according child's school, education level and monthly income (p<0.05). The attitude factor of adulterated food management beliefs appeared to have a significant (p<0.05) impact on all factors of adulterated food management capabilities, however the necessity factor had a significant (p<0.001) impact only on factor of hygiene and nutrition. The results of the present study suggested that parents need to be aware themselves as well as to teach their children about right food selection and consumption. The findings of the study might be useful in government policy planning regarding the public health issues and dietary education of adolescents and parents.

• Journal of Distribution Science
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• v.19 no.9
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• pp.19-27
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• 2021

Purpose: Purchasing food via online shopping channels is booming during Covid-19 Pandemic in Vietnam. However, the perceived risks of food bought via online shopping channels may discourage consumers. Hence, this study assesses the effects of perceived risks on food purchase intention via online shopping channels in Vietnam. Research design, data and methodology: This study applied the multiple regression analysis with 253 samples collected from consumers who frequently purchase food via online shopping channels in Vietnam. The questionnaire is provided to respondents via Google Form. The sample collection method is convenience sampling. Three hundred samples were collected, but 253 samples are used after filtering the responses with missing data. The Exploratory Factor Analysis (EFA) and regression analysis are used for data analysis on SPSS software version 20. Results: The results show that product risk, security risk, time risk, and fraud risk of the seller negatively affect the intention to buy food via online shopping channels in Vietnam. Conclusions: The study provides several implications and recommendations for food companies and online food sellers. Reducing customers' perceived risks online food makes customers more willing to buy food online during Covid-19 Pandemic. Limitations and suggestions for further research are also discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.159-165
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• 2020

The demand for food safety has emerged as a major social issue due to changes in diet patterns and consumers' perceptions, along with the advancements in society and the development of the food industry. Consumers are demanding more information about the food they consume, and are sensitive to food scandals. With such interest in food safety, blockchain technology is attracting attention as a means of effectively responding to poor food management resulting in food fraud or unsafe distribution. By ensuring the accuracy of, and trust in, traceability in the food supply chain, it is possible to build trust between traders and to ensure safe food distribution. This paper proposes a next-generation agri-food distribution system that can provide and manage (for suppliers, consumers, and distribution officials) a variety of agri-food information, such as the history, distribution, safety, quality, and freshness of food. Information on product status and distribution status in all processes, including production, processing, distribution, sales, and consumption, can be monitored and controlled in real time (anytime, anywhere), and users can check the safety level of each type of food in real time through an app.

• Food Science of Animal Resources
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• v.37 no.4
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• pp.599-605
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• 2017

Korean native honey (KNH) is much more expensive than European honey (EH) in Korea, because KNH is a favored honey which is produced less than EH. Food fraud of KNH has drawn attention of the government office concerned, which is in need of a method to differentiate between KNH and EH which are produced by the Asiatic honeybee, Apis cerana and the European honeybee, Apis mellifera, respectively. A method to discriminate KNH and EH was established by using duplex polymerase chain reaction (PCR) in this study. Immunochromatographic assay (IC) was examined to analyze the duplex PCR product. The DNA sequences of primers for the duplex PCR were determined by comparing cytochrome C oxidase genes of the two honey bee species. Chelex resin method was more efficient in extracting genomic DNA from honey than the other two procedures of commercial kits. The duplex PCR amplifying DNA of 133 bp were more sensitive than that amplifying DNA of 206 bp in detecting EH in the honey mixture of KNH and EH. Agarose gel electrophoresis and IC detected the DNA of 133 bp at the ratios of down to 1% and 5% EH in the honey mixture, respectively and also revealed that several KNH products distributed by internet shopping sites were actually EH. In conclusion, the duplex PCR with subsequent IC could also discriminate between KNH and EH and save time and labor.

• Food Science of Animal Resources
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• v.34 no.3
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• pp.316-324
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• 2014

Milk fat is an important food component, and plays a significant role in the economics, functional nutrition, and chemical properties of dairy products. Dairy products also contain nutritional resources and essential fatty acids (FAs). Because of the increasing demand for dairy products, milk fat is a common target in economic fraud. Specifically, milk fat is often replaced with cheaper or readily available vegetable oils or animal fats. In this study, a method for the discrimination of milk fat was developed, using FAs profiles, and triacylglycerols (TGs) profiles. A total of 11 samples were evaluated: four milk fats (MK), four vegetable oils (VG), two pork lards (PL), and one beef tallow (BT). Gas chromathgraphy analysis were performed, to monitor the FAs content and TGs composition in MK, VG, PL, and BT. The result showed that qualitative determination of the MK of samples adulterated with different vegetable oils and animal fats was possible by a visual comparision of FAs, using C14:0, C16:0, C18:1n9c, C18:0, and C18:2n6c, and of TGs, using C36, C38, C40, C50, C52, and C54 profiles. Overall, the objective of this study was to evaluate the potential of the use of FAs and TGs in the detection of adulterated milk fat, and accordingly characterize the samples by the adulterant oil source, and level of adulteration. Also, based on this preliminary investigation, the usefulness of this approach could be tested for other oils in the future.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1245-1245
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• 2001

Food adulteration is a serious consumer fraud and a matter of concern to food processors and regulatory agencies. A range of analytical methods have been investigated to facilitate the detection of adulterated or mis-labelled foods & food ingredients but most of these require sophisticated equipment, highly-qualified staff and are time-consuming. Regulatory authorities and the food industry require a screening technique which will facilitate fast and relatively inexpensive monitoring of food products with a high level of accuracy. Near infrared spectroscopy has been investigated for its potential in a number of authenticity issues including meat speciation (McElhinney, Downey & Fearn (1999) JNIRS, 7(3), 145-154; Downey, McElhinney & Fearn (2000). Appl. Spectrosc. 54(6), 894-899). This report describes further analysis of these spectral sets using a hierarchical approach and binary decisions solved using logistic regression. The sample set comprised 230 homogenized meat samples i. e. chicken (55), turkey (54), pork (55), beef (32) and lamb (34) purchased locally as whole cuts of meat over a 10-12 week period. NIR reflectance spectra were recorded over the wavelength range 400-2498nm at 2nm intervals on a NIR Systems 6500 scanning monochromator. The problem was defined as a series of binary decisions i. e. is the meat red or white\ulcorner is the red meat beef or lamb\ulcorner, is the white meat pork or poultry\ulcorner etc. Each of these decisions was made using an individual binary logistic model based on scores derived from principal component or partial least squares (PLS1 and PLS2) analysis. The results obtained were equal to or better than previous reports using factorial discriminant analysis, K-nearest neighbours and PLS2 regression. This new approach using a combination of exploratory and logistic analyses also appears to have advantages of transparency and the use of inherent structure in the spectral data. Additionally, it allows for the use of different data transforms and multivariate regression techniques at each decision step.