Search Results (933)

Campylobacter is one of the leading bacterial causes of gastroenteritis worldwide. It frequently contaminates poultry and other raw meat products, which are the primary sources of Campylobacter infections in humans. Plasmids, known as important mobile genetic elements, often carry genes for antibiotic resistance, virulence, and self-mobilization. They serve as the main vectors for transferring genetic material and spreading resistance and virulence among bacteria. In this study, we identified 34 new plasmids from 43 C. jejuni and C. coli strains isolated from retail meat using long-read and short-read genome sequencing. Pangenomic analysis of the plasmid assemblies and reference plasmids from GenBank revealed five distinct groups, namely, pTet, pVir, mega plasmids (>80 kb), mid plasmids (~30 kb), and small plasmids (<6 kb). Pangenomic analysis identified the core and accessory genes in each group, indicating a high degree of genetic similarity within groups and substantial diversity between the groups. The pTet plasmids were linked to tetracycline resistance phenotypes in host strains. The mega plasmids carry multiple genes (e.g., aph(3’)-III, type IV and VI secretion systems, and type II toxin–antitoxin systems) important for plasmid mobilization, virulence, antibiotic resistance, and the persistence of Campylobacter. Together, the identification and comprehensive genetic characterization of new plasmids from Campylobacter food isolates contributes to understanding the mechanisms of gene transfer, particularly the spread of genetic determinants of virulence and antibiotic resistance in this important pathogen. Full article

In the digital economy era, information symmetry, transparency, and traceability in food supply chains have increasingly garnered consumer attention. To motivate supply chain members to engage in product traceability, this paper examines the competitive and cooperative dynamics among participants in the food supply chain over continuous time. By developing a differential game model involving manufacturers and retailers with three decision-making modes, we solve the model using the Hamilton–Jacobi–Bellman (HJB) equation and perform a simulation analysis to assess the impact of different modes on overall supply chain profits. Additionally, we analyze how various parameters affect the profits of manufacturers and retailers. The key findings of this study indicate that centralized decision-making enhances the overall benefits of the food supply chain. Among the three decision-making models, the cost-sharing model proves to be the optimal approach, as it leads to a Pareto improvement in the profits of both manufacturers and retailers. These conclusions provide valuable insights for supply chain members seeking to optimize product traceability and enhance supply chain efficiency, as well as for government authorities involved in traceable supply chain governance. Full article

The global incidence of Salmonella enterica serovar Schwarzengrund has risen in recent years. This serotype has been isolated from poultry, retail meat, and other food products, leading to multiple outbreaks. Alongside the increase in infections, there are growing concerns about the increasing levels of antimicrobial resistance (AMR) among S. Schwarzengrund strains. This study aims to better understand the genetic factors possibly contributing to the rising prevalence of S. Schwarzengrund by analyzing the sequences of 2058 isolates from both human patients (N = 313) and food- and animal-associated sources, including chicken (N = 1145), turkey (N = 300), pork (N = 132), and other sources (N = 168). Data were obtained from GenBank and analyzed for AMR genes using AMRFinder. Additionally, putative virulence genes and plasmid transfer genes were assessed using the Virulence and AMR Plasmid Transfer Factor Database. AMR genes were found in 1269 (61.7%) of the isolates, with a total of 2478 AMR genes among the isolates, the most common being aph(3″)-Ib (N = 969, 47.1%), tet(A) (N = 190, 9.2%), and sul2 (N = 150, 7.3%), which are responsible for resistance to aminoglycoside, tetracycline, and sulfonamide, respectively. Additionally, 1060 (51.5%) isolates carried multiple plasmid transfer genes associated with IncFIB-FIC(FII) plasmids. Other plasmid types found in at least 1% of the strains included IncI1 (N = 101, 4.9%), IncHI2 (N = 62, 3.0%), or IncHI1 (N = 24, 1.2%). The virulence gene profiles of human isolates showed diversity but largely overlapped with those from different food sources. Notably, the aerobactin iron acquisition genes, associated with Salmonella’s virulence and colonization, were highly prevalent among chicken isolates (N = 1019, 89.0%) but less frequent in isolates from other sources (N = 65, 7.2%). IncFIB-FIC(FII) plasmids, commonly harboring the aerobactin operon, were highly prevalent among chicken-related isolates and present in about 10% of human isolates. The diverse plasmid, AMR, and virulence gene profiles in human-associated isolates suggest that multiple factors may contribute to the increased virulence in S. Schwarzengrund. Full article

Occupational safety, reflecting the likelihood of work-related accidents, is crucial in work systems. A risk management model identifies, analyzes, and prioritizes risks, followed by the strategic application of resources to mitigate, monitor, and control the probability and impact of future events. Models integrating safety, ergonomics, and operational efficiency in risk management are non-existent, especially in the food retail sector. The proposed risk management model assigns the risk level to Safety using the Hazard Identification and Risk Assessment index (HIRA), an integral part of the Global Safety Index (GSI), both indices with five risk levels: 1 to 5 (acceptable to very critical). The organizational hierarchy of the evaluated company includes levels from microtask to insignia. The research aims to apply the HIRA index from the microtask to the area level. The HIRA application was conducted in a food retail company, starting with the identification and characterization of tasks in the “food” section and “fresh products” area (butchery, fishmonger, bakery, charcuterie/takeaway, and fruits and vegetables sections). The risk level of each microtask was assessed, then aggregated to higher organizational levels. Results showed that two new solutions reduced the safety risk in the mentioned sections proving the HIRA value as decision-making tool. Full article

The aim of the present study is to identify obesogenic environment profiles to find the obesogenic environment pattern for Belo Horizonte City. The current research followed the ecological approach and was substantiated by data from food shops, public sports venues, crime rates (homicides and robberies) and the rate of accidents with pedestrians. Descriptive analyses and principal component analysis (PCA) were conducted in Stata software, version 14.0. Georeferencing and map plotting were carried out in Qgis software, version 2.10. All neighborhoods in Belo Horizonte City (n = 486) were included in the study. The obesogenic pattern comprised the highest mean number of shops selling ultra-processed food, crime rates, and accidents with pedestrians. The generated latent variable was divided into tertiles, and the second and third tertiles represented the most obesogenic environments. Neighborhoods accounting for the highest obesogenic profile also recorded the largest number of shops selling all food types. Furthermore, neighborhoods in the third tertile recorded the highest mean income (BRL 2352.00) (p = 0.001) and the lowest Health Vulnerability Index (HVI = 54.2; p = 0.001). These findings point towards the need for developing actions, policies and programs to improve these environments, such as tax incentives to open healthy food retailers and public sports venues to promote healthier lifestyles and to prevent diseases in the middle and long term. Full article

Consumers perceive the level of organic food prices as the major obstacle to increasing purchases. The main objective of the presented study is to recognize the differences between the prices of organic and non-organic food (so-called price premiums) in the Polish organic food market. Consequently, in order to determine these differences, prices of organic and non-organic food were noted in 45 retail outlets providing both types of food products. The investigation was performed within the Poznań agglomeration for nine months, from October 2022 to June 2023. The research showed that organic food price premiums ranged between 35% and over 270%. The lowest premiums were observed in tomato passata, cereal and dairy products, and eggs and olive oil. The highest occurred in chocolate, tea, juices, rapeseed oil, and chicken. Compared to previous studies, premiums observed in the conducted research, although high, have decreased for most investigated products. Moreover, the differences in price premiums were noted depending on the outlet type—they were lower in supermarket and hypermarket chains than in small retail shops. It should be highlighted that measures to maintain organic market development should be carried out with particular emphasis on the continued participation of retail chains in the distribution of organic food and the increased participation of large companies in processing organic food. Full article

The occurrence of the fourth industrial revolution (Industry 4.0) has led many industries to the path of adopting new technologies. Such technologies include blockchain, artificial intelligence (AI), and the Internet of Things (IoT). Blockchain creates the opportunity to access data and information in a decentralized manner, resulting in increased customer satisfaction. This study develops a smart newsvendor model of the food industry with consignment contracts and blockchain technology. Under a consignment policy, the central division (manufacturer) can utilize the retailer’s warehouse for storage. The producer may also have the opportunity to share the holding cost with retailers without losing the ownership of products. The main contribution of this study is to analyze the profitability of the retailing and supply chain when the blockchain technology is implemented by the food industry. Moreover, a thorough investigation of profit and loss is conducted under a consignment contract when uncertain demand is encountered. This study mainly concerns perishable food items, and increasing volatility in market demand. Two cases of probabilistic uncertainty are considered, including uniform and normal distribution. The key investigations of this study are presented in terms of (a) the effect of adopting blockchain on market demand for the food industry, (b) analysis of company profitability for perishable food items and demand uncertainty, and (c) the effect of the consignment contract under blockchain technology in the food industry. Finally, this research develops an optimization tool to numerically analyze the effect of several factors of the blockchain technology on demand. Moreover, the optimal values of the design variables and the resulting maximum profitability provide valuable insights that support industry in formulating effective policies and making informed strategic decisions. Full article

Background/Objectives: During the pandemic, client-facing workers were perceived to be at greater risk of SARS-CoV-2 infection. This study investigated the risk factors for SARS-CoV-2 infection among a cohort of 304 retail workers in the Quebec City metropolitan area. Methods: After providing consent, participants were interviewed to gather information on demographic, socioeconomic, behavioural, and occupational variables. They were subsequently followed for up to five visits, scheduled every 12 ± 4 weeks. The study covered critical periods before and during the emergence of the Omicron variants and included retrospective reporting of COVID-19 symptoms and virus detection tests to capture the pandemic’s early stages. Results: During the observation period, 173 (57%) participants experienced a first episode of COVID-19. Serological evidence of recent infection was detected in 160 participants (53%), while 117 (38%) reported a positive virus detection test. In adjusted analyses, risk factors for infection included younger age, a diagnosis of lung disease, longer weekly working hours, more frequent social gatherings, and having received fewer than three doses of vaccine. Notably, the increased risk associated with younger age and longer working hours was observed only after the relaxation of public health measures in the spring of 2022. Conclusions: These data suggest that during the early years of the pandemic when strict public health measures were in place, retail work was not a significant risk factor for SARS-CoV-2 infection in Quebec City metropolitan area. These findings highlight the complex dynamics of COVID-19 transmission and the effectiveness of workplace protective measures. Full article

This study examined the vertical transmission of wheat price among the main value chain, looking at the pricing behaviour of certain role players in the wheat production/supply and the distribution of bread, which is a major staple food consumed in South Africa. A nonlinear autoregressive distributed lag (NARDL) model was used to analyse the yearly time series data for the period of 2000 to 2022. The results of the stationarity test showed that all variables were of order one, I (1). The study used two pairs, namely farmgate price and retail price, and farmgate price and wholesale price, to examine the existence of asymmetry between these prices, with rainfall and temperature as control variables. The results indicate the existence of a positive long-run asymmetry of 35.9% between the farmgate price of wheat and retail price of bread, and 3.49% asymmetry between the farmgate price and wholesale price of wheat. To develop informed policies on food security, this study suggests that the government should enhance regular access to data and sustain its monitoring and communication of food price information across the whole country. For farmers, a policy on price transparency can help them to establish a public platform to share market prices, ensuring that they receive fair prices. This paper also recommends the provision of subsidies for wheat farmers to help the wheat industry, reduce the cost of bread production, and make bread more affordable and accessible for consumers. Full article

The food system has been in focus as one of the major drivers behind the environmental and climate crisis. In this context, there is a growing need for more transparent and reliable information on the environmental impacts of food production and consumption as part of the transition process towards more sustainable food systems. Stakeholders along the food supply chain are confronted with multiple requirements and systems as the demand for environmental reporting at the product, company, and country level increases all at the same time. Simultaneously, consumers are often more interested in the sustainability of the food products they consume. While there is currently a lack of coherent supranational or even national legislation regulating methodological procedures, private initiatives for the environmental and carbon labelling of food products have developed rapidly. This article finds that most labels are characterised by a lack of transparency, clarity, and comprehensibility. Examining 14 labels, mainly from the German food retail market, we found a puzzling variety of data sources and methodologies used to calculate the values and claims displayed. We highlight this variety in data sources and footprint values by looking at milk and beef as case studies. Full article

Veterinary drugs are extensively utilized in poultry farming for purposes such as disease prevention, disease treatment, and feed efficiency enhancement. However, the application of these drugs can lead to unacceptable residues in edible products. This study aimed to investigate the residue profiles of veterinary drugs in silkie chickens. A total of 130 chicken samples were collected from two major retail markets in Taiwan between 2022 and 2024. The analysis of drug residues was conducted using liquid chromatography coupled with tandem mass spectrometry (LC–MS/MS). The overall detection rate of drug residues was 57.7%, and most of these residues were found to be below the maximum residue limits. Among the detected drugs, trimethoprim was the most prevalent, followed by nicarbazin, robenidine, decoquinate, diclazuril, and sulfamonomethoxine. Notably, there was a 31.4% chance that different samples from the same flock would yield varying results. Furthermore, a positive correlation was observed between drug residues and sample weight. In conclusion, this study provides valuable epidemiological data on drug residue profiles in silkie chickens in Taiwan. In the future, it is highly recommended that veterinary drug residues be continuously monitored, and food product sampling protocols be adjusted annually to ensure ongoing compliance with safety standards and protect consumer health. Full article

Background: To improve consumers’ diet, policy measures such as food reformulation strategies and front-of-pack nutritional labels (FOPNLs) are implemented, aiming to guide consumers’ food choice and to stimulate an improvement in food composition by manufacturers. The FOPNL Nutri-Score has been implemented in several European countries. Changes in food compositions in relation to the Nutri-Score over time have been limitedly studied. This study evaluates food compositions in Europe over time, and if changes in compositions of the food supply could have potentially resulted in changes in Nutri-Score classifications of foods. Materials and Methods: Food composition data were available from EUREMO, from which bread products, breakfast cereals, hot sauces, and processed potato products from Austria, Belgium, Finland, Italy, and the United Kingdom from 2019 to 2021 were selected (n = 2260). Of these countries, only Belgium had implemented the Nutri-Score in 2019. Distributions of food compositions and Nutri-Score classifications were calculated and changes in median salt, sugar, and saturated fatty acids content were plotted by food group, country and year. Distribution of the final sum of Nutri-Score points was plotted by nutrient, food group, country and year. Results: Overall, more favourable Nutri-Score classifications (i.e., towards Nutri-Score classification A) were observed in most of the selected food groups and countries over the years, due to the influence of specific nutrients such as salt in breakfast cereals (lower median of 0.1–0.4 g/100 g) and processed potato products (lower median of 0.1–1.2 g/100 g); and sugar in processed potato products (lower median of 0.1–1.9 g/100 g) and bread products (lower median of 0.7–2.2 g/100 g). For nutrient contents in other food groups, no consistent changes were observed. Conclusions: Changes in the compositions of the food supply resulted in favourable changes in Nutri-Score classifications, suggesting a potential for food reformulation. Monitoring after the actual implementation of Nutri-Score is recommended. Full article

Background/Objectives: Unhealthy dietary habits are associated with chronic non-communicable diseases and may contribute to increased mortality in all countries of the world. Food environments determine the accessibility, availability, and promotion of food, thus playing an important role in people’s diets, but they are context-dependent. The aim of this study was to evaluate the availability and accessibility of food in food outlets in different neighborhoods of the city of Alicante. Methods: Cross-sectional study. Trained researchers conducted food store audits using the validated Nutrition Environment Measures Survey in Stores for Mediterranean contexts (NEMS-S-MED) tool. Data were collected from food stores within a socioeconomically diverse sample in Alicante (n = 63). We compared the availability and affordability of “healthier–less healthy” food pairs, scores between food store types (supermarkets, specialized, convenience stores, and others), and socioeconomic levels in Alicante in 2022. Results: The present study highlights that the food stores with the greatest availability and accessibility to healthy foods are supermarkets, as opposed to specialized stores and convenience stores. In addition, differences were found in the accessibility and availability of healthy foods by neighborhoods with different income levels, being more accessible in the residential neighborhood with the highest income level. Tourism could explain the differences in the food retail environment, with a high-income neighborhood showing similar results to low-income neighborhoods. Conclusions: The results obtained invite reflection on the development and adoption of policy strategies that promote the availability and accessibility of healthy food in the most disadvantaged areas. Full article

Plant-based meat alternatives (PBMAs) such as the Impossible Burger^® imitate animal meat appearance, taste, feel, and texture. Part of their consumer appeal are the views that PBMAs are more environmentally friendly, reduce inhumane treatment of animals, and/or have preferred nutritional attributes. College-educated adults are one of the larger markets for these products. This cross-sectional online survey utilized the Theory of Planned Behavior to predict self-reported intakes of PBMAs among 536 undergraduates aged 18–25 at a Midwest university. Sixty-one percent had eaten PBMAs, and 17% wanted to try them. Twenty-two percent were uninterested non-consumers. Their top reason for not eating PBMAs was that they had no reason to decrease their meat intake. Multinomial logistic regression analysis showed subjective norms and positive attitudes about PBMAs increased the odds of more frequent intake, whereas non-consumers had less support from social contacts, but greater perceived behavioral control over general food access. Thus, those with supportive social influences, concerns about the environment, and animal welfare are more likely to consume PBMAs. More frequent PBMA consumption was observed among U.S.-born multicultural students, food insecure students, and those with less perceived behavioral control over food access. Future research should investigate the nuances between these associations further by examining the types of PBMAs consumed, their costs, and retail sources across student demographics. Full article

In this paper, we study the decision-making and coordination problem of a two-tier fresh food supply chain consisting of a supplier and a retailer. Considering the influencing factors of consumers’ information preference, freshness, and misrepresentation, we construct a centralized decision-making model and a decentralized decision-making Stackelberg game model. We also analyze the changes in the equilibrium solution of the supply chain before and after the input of blockchain technology, identify the conditions for the investment in blockchain technology, and design a “cost-sharing + benefit-sharing” combination contract for the coordination of the blockchain. The results are as follows: Firstly, under decentralized decision-making, if the fresh supplier misreports the freshness of the product, it will mislead the retailer to increase the order quantity, and its own profit will rise. Therefore, the fresh supplier has the motivation to misreport freshness. However, the backlog of fresh products will eventually damage the retailer’s profit, and the overall profit of the supply chain will also be damaged. Therefore, the increase in the profit of the fresh supplier is at the expense of the overall interests and stability of the supply chain. Second, when the investment cost of blockchain technology is within a certain threshold, it is feasible to invest in blockchain technology. Consumers’ preference for traceable fresh products will encourage the fresh supply chain to improve the level of information traceability and increase investment in blockchain technology. Finally, there are double marginal effects in the fresh supply chain under decentralized decision-making. The combined contract of “cost-sharing + revenue-sharing” can coordinate the overall revenue of the supply chain to the level of centralized decision-making. When the contract parameters meet certain conditions, Pareto improvement in revenue can be achieved for all parties involved in the fresh supply chain. The willingness of retailers to invest in blockchain technology will change with the change in contract parameters. When the proportion of retailers’ costs and the proportion of shared income are higher, the level of retailers’ investment in blockchain technology will decrease. Therefore, the interests of supply chain members need to be balanced in the process of contract coordination. Full article