Search Results (225)

Escherichia coli (E. coli) remains a major concern in poultry production due to its ability to incite foodborne illness and public health crisis, zoonotic potential, and the increasing prevalence of antibiotic-resistant strains. The contamination of poultry products with pathogenic E. coli, including avian pathogenic E. coli (APEC) and Shiga toxin-producing E. coli (STEC), presents risks at multiple stages of the poultry production cycle. The stages affected by E. coli range from, but are not limited to, the hatcheries to grow-out operations, slaughterhouses, and retail markets. While traditional detection methods such as culture-based assays and polymerase chain reaction (PCR) are well-established for E. coli detection in the food supply chain, their time, cost, and high infrastructure demands limit their suitability for rapid and field-based surveillance—hindering the ability for effective cessation and handling of outbreaks. Biosensors have emerged as powerful diagnostic tools that offer rapid, sensitive, and cost-effective alternatives for E. coli detection across various stages of poultry development and processing where detection is needed. This review examines current biosensor technologies designed to detect bacterial biomarkers, toxins, antibiotic resistance genes, and host immune response indicators for E. coli. Emphasis is placed on field-deployable and point-of-care (POC) platforms capable of integrating into poultry production environments. In addition to enhancing early pathogen detection, biosensors support antimicrobial resistance monitoring, facilitate integration into Hazard Analysis Critical Control Points (HACCP) systems, and align with the One Health framework by improving both animal and public health outcomes. Their strategic implementation in slaughterhouse quality control and marketplace testing can significantly reduce contamination risk and strengthen traceability in the poultry value chain. As biosensor technology continues to evolve, its application in E. coli surveillance is poised to play a transformative role in sustainable poultry production and global food safety. Full article

With the improvement of living standards, consumer demand for fresh produce has witnessed a remarkable upsurge. Fresh products present significant preservation challenges, as their freshness directly correlates with sales performance and ultimately impacts the sustainable development of the fresh supply chain. Enhancing freshness preservation standards, boosting market demand, strengthening brand reputation, and promoting the development of a fresh supply chain are urgent problems that need to be solved. This paper delves into the dynamic optimal decision-making processes within a fresh food supply chain, which is composed of a supplier and a retailer, under different government subsidy scenarios: centralized decision-making, decentralized decision-making under supplier myopia, and decentralized decision-making under supplier’s foresight. Herein, a differential game model is constructed, and through the utilization of dynamic optimization and backward induction techniques, feedback strategies for various decision-making paradigms are derived. A comparative evaluation of decision-making models is conducted, grounded in theoretical frameworks and substantiated through numerical simulations, to assess critical parameter impacts. The results indicate the following: (1) the effect coefficients of consumer preference and preservation efforts show significant positive correlations with suppliers’ preservation strategies and retailers’ promotional tactics, respectively; (2) supply chain profitability reaches its Pareto-optimal state under centralized decision-making structures, while myopic supplier behavior leads to systematically lower profits than foresighted supplier strategies; (3) retailers demonstrate stronger collaboration preferences toward foresighted suppliers, as such partnerships ensure enhanced quality consistency and supply continuity; and (4) government agencies should implement dynamically adjusted subsidy schemes during preservation initiatives to facilitate sustainable operational frameworks in fresh produce supply chains. Full article

The adoption of sustainable food products by consumers is often hindered by both perceived and actual barriers within retail environments. This study investigates the interaction between the objective availability of sustainable food, its in-store visibility, and consumer perceptions of and discourses about these aspects, specifically examining how these factors contribute to socio-spatial disparities in access within an urban context (Turin, Italy). The research combined qualitative interviews with 50 consumers—to understand their perceptions and purchasing criteria—with quantitative observations of the presence and presentation of products in 56 supermarkets and 28 open-air markets across different socio-economic areas. The findings indicate that while sustainable products are more widely available than commonly perceived, their visibility (shelf positioning, signage) is significantly lower in socio-economically disadvantaged areas. This “invisibility” creates a crucial perceptual barrier, particularly for consumers who rely on immediate environmental cues and efficient shopping strategies, thus limiting purchases despite the actual presence of the products. The study concludes that in-store presentation strategies are critical mediators of perceived availability, disproportionately affecting consumers in lower socio-economic contexts and highlighting an innovative dimension of food access inequality that calls for targeted interventions at both the retail and policy levels. Full article

The intensification of agricultural practices, such as the extensive use of synthetic fertilizers, the expansion of irrigation systems, and land use conversion, has led to substantial biodiversity loss and the disruption of ecosystem functions. Traditional washing procedures for fresh produce involve substantial water usage and can generate wastewater, which requires proper management to prevent environmental contamination. By skipping the washing stage, these reduced water and energy inputs contribute to more sustainable agricultural practices. Although this approach may benefit sustainability and the environment, the market success of a product with a sustainable attribute ultimately depends on consumer acceptance and their willingness to pay (WTP) for it. This study investigates consumer preferences and WTP for a local potato variety called “Agria”, with a specific focus on the sustainability attribute concerning the sale of washed versus unwashed potatoes. We conducted an experimental study with consumers in northeastern Spain, where this potato variety is grown, and simulated market shares under varying price scenarios. The methodology involved a choice experiment that evaluated three characteristics: price, local origin, and presentation (washed versus unwashed). The methodology also incorporated attribute non-attendance (ANA) to capture all aspects of the decision-making process. The findings reveal that consumers preferred the locally grown variety over those from other origins and were willing to pay a premium. Although consumers preferred washed potatoes, they would purchase unwashed potatoes at a discount price of EUR 0.2/kg. The results provide marketing and pricing strategies for local producers and retailers and market share projections aligned with consumer preferences for local food. Empirically, the study contributes to the literature on consumer preferences and sustainable food systems by (i) integrating the “washed versus unwashed” attribute with local origin to inform more effective marketing strategies; and (ii) supporting local potato growers through the identification of viable lunch strategies for a differentiated, unwashed product that extends shelf life, reduces food waste, and promotes sustainability by lowering water and energy use in post-harvest processing. For methodologically, it applies ANA in the context of potato choice experiments—an approach rarely used in this domain—to enhance the understanding of consumer decision-making. Full article

Food waste poses a significant global challenge with profound economic, environmental, and social implications. Within the European Union, socioeconomic conditions, food affordability, and sustainability initiatives create a complex framework for understanding and mitigating food waste. This study examines how economic and sustainability factors shape food waste patterns across EU member states, employing advanced statistical techniques to uncover underlying dynamics. The analysis focuses on five key variables: the Harmonized Index of Consumer Prices for food, food waste, food retail sales, the Sustainable Development Goals Index, and GDP per capita. Factorial analysis and a general linear model were used to investigate linear relationships, and multilayer Perceptron (MLP) neural networks were employed to model the non-linear relationships driving food waste. At the same time, hierarchical cluster analysis identified four distinct country groups, each characterized by unique combinations of these variables. The results reveal that higher GDP per capita and stronger sustainability performance are associated with lower food waste, whereas higher food prices and increased retail activity present more nuanced influences. The findings underscore the importance of customized policies that address the EU’s diverse socioeconomic and sustainability contexts, offering a pathway toward more sustainable food systems and reduced waste. Full article

Greater engagement with alternative food supply chains is considered a key factor in reducing a range of environmental and social harms associated with the global agri-food system. However, consumer engagement with these supply chains is low, and little research has investigated this issue in the Australian context. This study aimed to identify Australian consumers’ drivers and barriers in procuring food grown locally from alternative grocery retailers. Self-reported primary or co-equal grocery shoppers (n = 325) completed measures of drivers and barriers to shopping for locally produced food (within 200 km) from alternative retailers, as well as current behavioural engagement with such. An exploratory factor analysis revealed four key drivers (Food Shopping as an Expression of Values, Food Shopping as a Socio-Emotional Experience, Avoiding “Unnatural” Food, Protesting the Duopoly) and two key barriers (It’s All Too Hard, Local Food Scepticism). Multiple regression analysis demonstrated that together, these drivers and barriers explained a significant 9% of the variance in the frequency of alternate shopping practices, of which only the barrier It’s All Too Hard accounted for a significant amount of unique variance. Findings point to ways to encourage engagement with sustainable food systems, as well as critical barriers to overcoming disengagement. Full article

This study explores how digital technologies and data analytics can transform urban waste management in smart cities by addressing systemic inefficiencies. Integrating perspectives from the Resource-Based View, Socio-Technical Systems Theory, Circular Economy Theory, and Institutional Theory, the research examines sustainability, operational efficiency, and resilience in extended supply chains. A case study of Company A and its demand-side supply chain with Retailer B highlights key drivers of waste, including overstocking, inventory mismanagement, and inefficiencies in transportation and promotional activities. Using a mixed-methods approach, the study combines quantitative analysis of operational data with advanced statistical techniques and machine learning models. Key data sources include inventory records, sales forecasts, promotional activities, waste logs, and IoT sensor data collected over a two-year period. Machine learning techniques were employed to uncover complex, non-linear relationships between waste drivers and waste generation. A waste-type-specific emissions framework was used to assess environmental impacts, while IoT-enabled optimization algorithms helped improve logistics efficiency and reduce waste collection costs. Our findings indicate that the adoption of IoT and AI technologies significantly reduced waste by enhancing inventory control, optimizing transportation, and improving supply chain coordination. These digital innovations also align with circular economy principles by minimizing resource consumption and emissions, contributing to broader sustainability and resilience goals in urban environments. The study underscores the importance of integrating digital solutions into waste management strategies to foster more sustainable and efficient urban supply chains. While the research is particularly relevant to the food production and retail sectors, it also provides valuable insights for policymakers, urban planners, and supply chain stakeholders. By bridging theoretical frameworks with practical applications, this study demonstrates the potential of digital technologies to drive sustainability and resilience in smart cities. Full article

Reduced energy use and increased energy efficiency are essential for decarbonization and sustainable development. The food cold chain is a crucial infrastructure with high energy consumption and rising demand. A careful selection of technology used in food retail systems could result in long-term energy savings, functionality, ease of maintenance, and high energy efficiency. In this work, a comparison between the energy performance of three low-GWP refrigerants, namely, R-454C, R-449A, and R-744, is carried out with reference to an existing refrigerating system that serves a real supermarket. Energy usage and seasonal efficiency have been examined for three locations in Europe, representing mild and hot ambient temperatures. Results show that systems based on R-454C and R-449A perform significantly better than R-744 architectures, improving sCOP of up to +12% and +17%, respectively, with a simpler equipment design. This suggests that careful assessment is required to select the most appropriate refrigerant for each store size and climatic condition. 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

Applying behavioral reasoning theory, this study examines the effect of social media food waste advertising on consumers’ intention not to waste food, with customer–brand communal engagement and awareness of food waste consequences acting as mediators, and fast-food customers’ altruism as a moderator. Structural equation modeling was applied to data from 422 customers of Malaysian retail fast-food chains. The findings reveal that social media food waste advertising positively affects customers’ intentions not to waste food directly and indirectly through two mediators: awareness of food waste consequences and customer–brand communal engagement. The stronger mediator was awareness, and it indicated that cognitive factors play a greater role in pro-environmental behaviors than emotional ones. Additionally, this study demonstrates that customer altruism moderates the cognitive pathway but not the emotional pathway. The results of these findings suggest that social media campaigns should focus on both cognitive and emotional dimensions as well as personal value to maximize effectiveness. The findings have implications for fast-food chains to design more effective social media campaigns that promote food waste reduction as part of broader sustainability goals in the food industry. Full article

This paper addresses the critical and urgent need to reduce food losses and waste (FLW) resulting from stringent marketing standards. It proposes a comprehensive and actionable framework grounded in the three pillars of sustainability—environmental, economic, and social—to effectively evaluate FLW across the entire food supply chain. The paper involves a thorough review of existing marketing standards, including research on FLW due to marketing standards, and proposes the implementation of targeted key actions within four key food sectors: fruits, vegetables, dairy, and cereals. The study provides a detailed analysis of the significant impact marketing standards have on FLW at various stages of the supply chain, including primary production, processing, retail, and consumption. By focusing on these critical points, the research underscores the necessity of addressing marketing standards to achieve meaningful reductions in FLW. The proposed framework aims to foster improved business practices and drive the development of innovative, sector-specific solutions that balance sustainability goals with economic viability. The holistic approach followed for this research lays the foundation for ensuring that the proposed framework is adaptable and practical, leading to measurable improvements in reducing FLW and promoting sustainability across the food industry. Full article

Produce prescription programs can benefit both individuals and health systems; however, best practices for integrating such programs into the Australian health system are yet unknown. This study explored stakeholders’ perspectives on the acceptability, potential design and integration of produce prescription programs for adults with type 2 diabetes in Australia. Purposive sampling was used to recruit 22 participants for an online workshop, representing six stakeholder groups (government, healthcare service, clinician, food retailer, consumer, non-government organisation). Participant responses were gathered through workshop discussions and a virtual collaboration tool (Mural). The workshop was video-recorded and transcribed verbatim, and thematic analysis was conducted using a deductive–inductive approach. Stakeholders recognised produce prescription as an acceptable intervention; however, they identified challenges to implementation related to contextuality, accessibility, and sustainability. Stakeholders were vocal about the approach (e.g., community-led) and infrastructure (e.g., screening tools) needed to support program design and implementation but expressed diverse views about potential funding models, indicating a need for further investigation. Aligning evaluation outcomes with existing measures in local, State and Federal initiatives was recommended, and entry points for integration were identified within and outside of the Australian health sector. Our findings provide clear considerations for future produce prescription interventions for people with type 2 diabetes. Full article

Background/Objectives: Nutrition incentive programs can increase access to fresh fruits and vegetables and improve food security among Supplemental Nutrition Assistance Program (SNAP) participants and others in the United States. This qualitative study explored SNAP participants’ and farmers’ market staff’s perceptions of and experiences with a pilot supplemental benefit program offered at seven farmers’ markets in 2023 as part of the California Fruit and Vegetable Electronic Benefit Transfer Pilot Project. The pilot introduced specific characteristics that differ from more traditional nutrition incentive program dollar-for-dollar match incentive models, particularly the traditional model operating in California. Specific differences included the following: (1) offering a monthly USD 60 supplemental benefit that could be redeemed in a single shopping trip; (2) providing the supplemental benefit as a match that could be spent on any SNAP-eligible item in any retail location (rather than solely on fruits and vegetables at the farmers’ market). Methods: We conducted a qualitative, cross-sectional study including seven focus groups with 40 SNAP shoppers and six focus groups with 14 farmers’ market staff at six pilot-participating farmers’ markets in California. All focus groups were conducted by trained research staff and were recorded, transcribed, and analyzed using the immersion crystallization method. Results: Our findings include that shoppers appreciated several features of the pilot, particularly the ability to obtain an entire month’s supplemental benefit during one shopping trip and the ability to spend the benefit earned on any SNAP-eligible item at any SNAP retailer. Farmers’ market staff appreciated that the pilot benefited shoppers but found it difficult to manage due to staff and shopper confusion about the program, increased program utilization, subsequent long lines, and the spending of the earned incentives at other SNAP retailers. Both shoppers and staff reported that the program was difficult to understand. Conclusions: These findings can inform future nutrition incentive program designs to benefit SNAP participants while offering sustainable models for farmers’ markets. Full article

One of the primary global objectives is to decrease building energy consumption to promote energy efficiency and environmental sustainability. The large-scale food retail trade sector accounts for over 15% of total primary energy consumption in Europe, posing a significant challenge to the transition towards green energy. This study proposes a simple method for energy efficiency, environmental sustainability, and cost-saving assessment and improvement in large-scale food retail trade buildings. It aims to analyze the energy and environmental performance of building–plant systems, establishing an interactive network to assess intervention potential for the energy transition. The investigation focuses on the proper selection and analysis of the benefits of retrofit solution implementation, emphasizing potential energy savings in current and future climate change scenarios. Dynamic simulation with the Building Energy Model (BEM) was used to evaluate the impacts of building–plant system retrofit solutions, such as high thermal insulation, photovoltaic (PV) panels, Light Emitting Diode (LED) installation, waste heat recovery, and improvement in refrigeration units. The results show a reduction in annual energy consumption for the PV panel installation by up to 29% and lighting systems with high-quality LED to 60%. Additionally, CO₂ emissions can be decreased by up to 41% by combining these two strategies. Full article