Search Results (2,172)

The agri-food sector generates significant quantities of by-products and waste biomass, representing both an environmental challenge and an opportunity for resource recovery within a circular bioeconomy. This study developed a decision-support framework for the sustainable valorization of major residues from the Italian agri-food sector. Following a Material Flow Analysis (MFA) of multiple Italian agri-food supply chains, tomato and grape supply chains were selected as representative case studies because they generated the largest quantities of valorizable by-products among the agri-food sectors evaluated, namely tomato pomace and grape marc. MFA based on FAOSTAT and PRODCOM data (2019–2023) was combined with a literature review to assess biomass availability and physicochemical characteristics. The analysis identified tomato pomace and grape marc as the predominant residues. Tomato pomace showed high moisture content (63.34%), balanced organic composition, and a favorable C/N ratio, supporting its suitability for anaerobic digestion with an average biomethane potential (BMP) of 0.143 m³ CH₄/kg TVS. Conversely, grape marc exhibited a carbon-rich lignocellulosic structure, with a carbon content of 47.67%, C/N ratio of 24.73, and BMP of 0.195 m³ CH₄/kg TVS, favoring thermochemical conversion pathways, particularly pyrolysis. The framework also highlights the importance of cascading strategies, prioritizing the recovery of high-value compounds, and pretreatment approaches to improve biomass conversion efficiency. Overall, this approach supports optimized resource recovery and sustainable agri-food waste management. Full article

Agricultural outward foreign direct investment (OFDI) is an important mechanism for strengthening food security, enhancing agricultural capacity, and advancing sustainable development through greater supply-chain resilience and resource-use efficiency. This study applies social network analysis to characterize the global agricultural OFDI network and uses a temporal exponential random graph model (TERGM) to examine its drivers. The results show that the network remains sparse but has become more efficiently connected, reciprocal, and clustered, while retaining a pronounced core–periphery structure. Developed economies, led by the United States, occupy the network core, whereas the positions of emerging Asian economies, including China, have strengthened over time. Both endogenous network dependencies and exogenous attributes jointly shape tie formation. The post-2018 estimates indicate weaker network persistence, stronger resource-endowment effects, and greater investment attraction in host economies with less restrictive institutional environments. Across development groups, agricultural capital from high-income economies follows a predominantly unidirectional core–periphery pattern, whereas developing economies exhibit more frequent reciprocal and cyclical investment ties. Full article

Soil erosion on sloping farmland impairs cultivated land quality, food security, and watershed ecological sustainability across China. Vegetation serves as a core erosion buffer, yet how nitrogen–phosphorus (N-P) stoichiometry shapes coordinated maize growth to regulate multi-stage runoff–sediment coupling remains underexplored. This study reveals the complete mechanistic chain linking N-P ratios, crop growth synchrony, and hillslope erosion dynamics via 60 mm·h⁻¹ simulated rainfall experiments at three key summer maize stages, with six N/P gradients (0–3.75) in an eastern China brown soil zone. An N/P ratio of 2 optimized maize biomass, canopy cover, and root soil-binding capacity, yielding the lowest sediment concentrations. Excess nitrogen (N/P = 3.75) triggered spindly, mechanically weak maize growth, elevating runoff volume and sustaining high-variability sediment transport. High-frequency runoff–sediment signals maintained a consistent positive correlation, while mid/low-frequency components decoupled under imbalanced N-P supply. Moderate balanced N-P fertilization (N/P = 1–2) stabilized hillslope hydrological-erosion processes throughout the growing cycle, whereas surplus nitrogen induced asynchronous erosion responses. This research delivers quantitative evidence for coordinated high-yield and erosion-control nutrient management. Full article

Energy efficiency interventions are typically evaluated and implemented at the single-firm level, yet energy use and savings are shaped by interdependent decisions distributed across the supply chain, spanning sourcing, production, inventory, logistics, and financing. A foundational observation motivating this paper is that some energy efficiency actions are only possible through inter-firm cooperation: they require changes to partners’ processes or technologies, create benefits that accrue to different actors than those bearing the investment costs, and demand governance mechanisms (e.g., cost-sharing contract, buyer-financed supplier development, supply chain finance instruments) to be financially viable. This paper proposes CHAIN-EE (Collaborative Holistic Approach for Integrated Network Energy Efficiency), an action-oriented framework that operationalizes systems thinking into a practical roadmap for supply chain decision-makers. CHAIN-EE integrates three interconnected phases: (A) supply-chain energy diagnosis, covering boundary definition, baseline construction, and hotspot identification across nodes and flows; (B) action portfolio design, structured around a six-lever intervention taxonomy and multi-criteria evaluation embedding a cost–benefit alignment map that makes governance feasibility an explicit selection criterion; and (C) governance and continuous improvement, including incentive alignment, investment architecture and ISO 50001-compatible performance management. Evidence from four European research projects spanning the food cold chain, dairy, food-and-beverage/transport value chains, and HORECA illustrates how each phase operates in practice across different sectors and governance contexts. The paper contributes an integrative, sector-adaptable structure for supply chain energy efficiency programmes, grounded in both analytical research and applied project experience, and a targeted research agenda on cross-node rebound effects, data-enabled energy flow mapping, and multi-tier coordination mechanisms. Full article

This systematic review summarises advances in artificial intelligence (AI) and machine learning (ML) for foodborne pathogen detection, covering applications in various technologies (AI-assisted microscopy, spectroscopy, biosensors and sensor-based systems), food supply chains, analytical performance, operational metrics and regulatory developments, addressing gaps in previous reviews limited to individual technologies or lacking regulatory analysis. Following PRISMA 2020 guidelines, Scopus, PubMed, and Web of Science were searched from 1 January 2010 to 25 June 2026 using a validated string. Inclusion criteria were explicit detection of a pathogen, clearly described AI/ML algorithm, study evaluation on food or supply chains, and quantitative validation metrics. Exclusion criteria were chemical-only studies, human-diagnostic studies, or purely theoretical studies. Given heterogeneity in the evidence, qualitative quality indicators were favoured over formal quantitative risk-of-bias tools, in distinction to internal cross-validation versus independent external validation. Key data were extracted using a standardised matrix, and after screening and snowballing, the final corpus consisted of 152 studies. CNN (Convolutional Neural Network)-based microscopy provides >99% accuracy in bacterial identification, SERS (Surface-Enhanced Raman Spectroscopy) and CNN 98.68% for pathogens and 99.85% for resistant strains. ML-driven biosensors show 80–100% prediction accuracy in the presence of environmental noise. Yet, performance drops dramatically on external validation, with models falling from 95% internal to 78–82% on independent test sets. Supply chain applications cover meat, dairy, seafood and produce, but most are still at pilot scale. The main constraints are data heterogeneity, lack of public benchmarks, matrix interference, non-standard validation protocols, and regulatory dissonance. However, the integration of AI with Internet of Things (IoT), blockchain and edge computing improves sensitivity, reduces false results and enables real-time monitoring despite the challenges. AI is a powerful decision-support tool that complements existing food safety controls rather than replacing them. To translate these technologies reliably into routine practice, effective implementation requires rigorous external validation and regulatory harmonisation. Full article

Food safety culture (FSC) is a structured, measurable and enforceable element of the food industry, which is essential for building consumer trust and safeguarding consumer wellness. Regardless of the size of the organisation, FSC plays a pivotal role in safety and quality assurance and should be embedded in the company’s values and beliefs, ultimately manifesting in employee behaviours. FSC’s principal denominators encompass the fundamental principles of leadership, knowledge, engagement, environment, performance, and outcome. These principles collectively form a holistic framework that is pivotal for enhancing the efficacy and efficiency of safety initiatives in the food supply chain. FSC should be integrated into existing food safety standards, aligning with management systems and enjoying support and ownership at all levels and portfolios. Attaining a strong FSC requires commitment and active participation, not only from departments and sections directly involved with food handling, but also from administrative departments and branches. A non-conducive or weak culture, on the other hand, creates barriers to the achievement of safety goals and creates environments that may lead to product safety failures and non-conformances, with potential detrimental impacts on both consumer and business well-being. The absence of a specific culture constitutes a culture in itself, and, therefore, regular, valid, and reliable assessment is crucial for understanding the current state of FSC, without drawing generalised, superficial, or biased conclusions. In this study, the history and context of FSC are discussed, as well as narratives on assessment protocols and improvement initiatives. A trustworthy and ethical assessment is the first step in a three-phase process, involving assessment, alignment, and intervention to improve FSC, constituting various subcategories. The ultimate intent of this study is to provide turn-key solutions through presenting ideas, debating concepts and proposing interventions to guide and inform FSC improvement, culminating in safe and wholesome products. Full article

Food safety systems are increasingly challenged by globalized supply chains, emerging contaminants, and the need for rapid decision-making before contaminated products reach consumers. Although conventional methods remain essential for confirmatory analysis, their dependence on centralized facilities, specialized personnel, and time-intensive workflows limits their suitability for real-time monitoring. Sustainable nanotechnology offers a promising approach to address these limitations by enabling rapid, sensitive, portable, and resource-efficient contaminant detection. This review critically examines recent advances in nano-enabled platforms for detecting foodborne pathogens, toxins, pesticide residues, heavy metals, allergens, and other food-related contaminants. Emphasis is placed on colorimetric, fluorescent, electrochemical, surface-enhanced Raman scattering, and biosensor-based systems employing sustainable nanomaterials, including biopolymer nanoparticles, carbon-based nanostructures, metal and metal oxide nanoparticles, quantum dots, and hybrid nanocomposites. The roles of green synthesis, low-toxicity materials, reduced solvent use, and safe-by-design strategies are evaluated in relation to environmental sustainability and practical implementation. The integration of nanosensors with smart packaging, portable devices, Internet of Things platforms, artificial intelligence, and data-driven risk assessment is also discussed. Key challenges include matrix interference, reproducibility, sensor stability, scalability, regulatory approval, environmental fate, and consumer acceptance. Continued progress will require validated, scalable, and environmentally responsible technologies capable of reliable operation under real-world food system conditions. Full article

Background: Climate change is increasingly recognised not only as an environmental emergency but also as a structural determinant of health and health-system performance. Its clinical consequences will not be distributed evenly: high-income countries face rising heat mortality, infrastructure fragility, ageing-related vulnerability, and the need to decarbonise technologically intensive care; middle- and low-income countries face heterogeneous but often more compressed combinations of heat, infectious disease, food insecurity, water stress, displacement, conflict-related fragility, and limited fiscal capacity. Objective: This structured narrative review proposes a comparative framework for understanding how climate change will transform health care across high-, middle-, and low-income settings and identifies adaptation priorities that are resilient, equitable, and low-carbon. Methods: We synthesised major climate-health assessments, peer-reviewed epidemiological studies, modelling papers, systematic and scoping reviews, and health-system decarbonisation literature identified through targeted searches and reference chaining. Five climate-health pathways, specified a priori from established direct, indirect, and socially mediated pathway frameworks, were used to organise the review. Findings: Climate change will reshape health care through five interacting pathways: direct thermal injury and extreme-weather mortality; altered infectious disease ecology; food, water, and nutritional insecurity; mental, maternal-child, and occupational impacts; and damage to the infrastructure, workforce, supply chains, finances, and emissions profile of health systems. In high-income countries, climate stress exposes the limits of hospital-centred, carbon-intensive, just-in-time care. In middle-income countries, expanding coverage and technology coexist with uneven insurance, large informal workforces, and rapidly growing emissions. In low-income and fragile settings, the same hazards interact with undernutrition, weak surveillance, under-resourced primary care, and constrained finance to produce larger marginal health losses. Conclusions: The central contribution is the concept of the climate-health divide: the unequal conversion of shared climate hazards into clinical demand, service disruption, financial stress, and emissions-intensive responses. Climate resilience and healthcare decarbonisation should therefore be designed together rather than treated as separate agendas. Full article

Background: Within the fresh food e-commerce supply chain, government effort-contingent subsidies and logistics partnerships critically impact order pricing, preservation, and profitability. This study aims to investigate how different logistics cooperation modes interact with effort-contingent subsidies to optimize supply chain performance under preservation effort and random demand. Methods: We developed three Stackelberg game models: an independent logistics model, a logistics-supplier cooperation model without subsidies and a logistics-supplier cooperative model with government effort-contingent subsidies. Equilibrium strategies were derived theoretically and analyzed through numerical simulations to examine preservation efforts and pricing. Results: The findings show that logistics cooperation combined with effort-contingent subsidies not only optimizes the decision-making behaviors, but also effectively shares preservation costs and mitigates double marginalization. This synergy incentivizes higher preservation efforts and lowers wholesale prices, ultimately reducing retail prices and expanding market demand. Furthermore, the analysis reveals that excessively optimistic demand forecasts (over-ordering) sharply increase systemic costs, causing a reverse drop in actual demand. Conclusions: Government subsidies are an effective macro-policy tool for alleviating cold-chain costs when integrated with logistics cooperation. To build a sustainable supply chain, e-commerce platforms must adopt prudent ordering strategies, while policymakers should structurally design subsidies to incentivize preservation investments rather than purely subsidizing profits. Full article

Background: Perishable agri-food supply chains require logistics networks that remain economically viable despite fluctuations in demand, transportation costs, and market prices. This study develops and evaluates a two-echelon logistics network for the banana supply chain in Magdalena, Colombia. Methods: A mixed-integer linear programming model was formulated to maximise daily profit by jointly determining collection-centre activation and product flows among 14 producers, five candidate collection centres, and two commercial buyers. The deterministic solution was complemented by sensitivity analysis and 1000 Monte Carlo optimisation scenarios incorporating variability in demand, transportation costs, and selling prices. Results: Under nominal conditions, all five collection centres were activated, the full demand of 42,000 kg/day was served, and the optimal profit was USD 3093/day. Centres C1–C4 operated at full capacity, whereas C5 reached 42.9% utilization. Under uncertainty, the mean profit decreased to USD 1955.70/day, the mean unmet demand was 954.03 kg/day, and shortages occurred in 72.3% of scenarios. C1–C4 remained the network core, while C5 acted as a flexible contingency facility. Conclusions: The proposed framework reveals an efficiency–resilience trade-off overlooked by deterministic optimisation. Demand growth and capacity reductions are the principal operational risks, supporting investment in collection capacity and proactive demand management. Full article

Consumer perception and sensory satisfaction play a critical role in shaping sustainable food consumption patterns, purchase intention, and repeat purchasing behavior within modern food systems. This study evaluated the physicochemical and sensory attributes of five imported mango cultivars (Tommy Atkins, Kent, Palmer, Osteen, and Sindhri) sold in Florence, Italy, to examine how quality characteristics influence consumer acceptance and sustainable food choice behavior. Physical and chemical analyses included fruit weight, peel color, firmness, total soluble solids, titratable acidity, and pulp characteristics. Sensory evaluation was conducted using a trained panel to assess visual appearance, sweetness, sourness, aroma, juiciness, texture, pleasantness, naturalness perception, overall judgment, and purchase intention before and after consumption. Significant differences were observed among cultivars for several quality and sensory parameters. Sindhri exhibited the highest sweetness and strong consumer acceptance, while Palmer achieved the highest overall judgment and purchase intention after tasting. Kent demonstrated superior visual color and firmness attributes, whereas Tommy Atkins showed higher fibrousness and lower overall consumer acceptance. The findings demonstrate that sensory characteristics are strongly associated with consumer perceptions and purchase intentions, underscoring the importance of cultivar-specific quality profiling in sustainable food marketing strategies. Understanding consumer-oriented quality preferences may support more sustainable imported fruit supply chains by improving consumer satisfaction, reducing dissatisfaction-related food waste, and enhancing sustainable consumption patterns in the growing Italian tropical fruit market. Full article

Background: Digital Supply Chain Adoption (DSCA) has emerged as a critical strategic imperative associated with Operational Performance (OP); however, empirical evidence within Thailand’s food and beverage manufacturing industry remains limited. Methods: A structured survey of 200 supply chain professionals was analysed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS 4. To ensure analytical rigor and mitigate potential method bias, a retrospective comparison design was employed. Furthermore, DSCA was operationalized as a Type II reflective-formative higher-order construct, and Digital Dynamic Capabilities (DDC) as a Type I higher-order construct. Results: DSCA was positively associated with all perceived performance dimensions, with cost reduction exhibiting the strongest direct association (β = 0.510, p < 0.001). DDC significantly moderated the statistical relationships for quality and productivity performance. However, the moderating role of DDC on cost reduction was not statistically significant. Conclusions: Within the investigated sample, DSCA was more closely associated with perceived cost efficiencies, whereas DDC showed a supplementary moderating role specific to quality and productivity outcomes. The findings are also consistent with the integrated Dynamic Capabilities View and Technology, Organization, and Environment (DCV-TOE) perspective, suggesting that statistical associations between digital transformation and operational outcomes may vary across performance dimensions rather than follow a uniform pattern. Full article

Plant-based protein (PBP) foods are increasingly promoted as sustainable alternatives to animal-derived proteins, yet their environmental and nutritional performance depends on complex interactions among crop selection, agricultural practices, processing technologies, formulation strategies, food safety controls, and climate variability. This review synthesizes evidence across the entire plant-based protein value chain, examining how crop physiology, protein extraction and structuring, ingredient functionality, safety risks, and nutritional outcomes are shaped by both technological choices and environmental changes. Particular attention is given to climate-induced alterations in protein concentration, amino acid composition, mineral bioavailability, and contaminant risk, and how these upstream changes propagate through processing and food formulation to affect consumer health outcomes. We argue that sustainability is an emergent system-level outcome determined by interactions among biological, technological, nutritional, and socio-economic factors rather than an intrinsic property of any given crop or protein source. The review concludes by identifying research, processing, and policy priorities needed to enable scalable, climate-resilient, safe, and nutritionally robust plant-based protein systems. Full article

Sustainable agri-food value chains depend on the capacity of smallholders to participate in markets in stable, remunerative and upgrade-oriented ways, yet in conflict-affected and politically constrained settings this capacity is weakened by mobility restrictions, insecure logistics, payment disruption, volatile inputs, thin market information and uncertain enforcement. This study aims to explain how such constraints reshape smallholder market integration and under what conditions governance and institutional arrangements stabilize, rather than reproduce, market exclusion. An integrative review was conducted following established methodological guidance. A structured search of Scopus, Web of Science and Google Scholar, extended by citation tracing, returned 821 records; after de-duplication and two-stage screening against explicit eligibility criteria, 44 studies were retained, of which 35 empirical studies form the evidence corpus. Each study was coded with a five-field extraction matrix across seven diagnostic dimensions—inputs and supplies, production capacity and technology, end-markets and trade, value-chain governance, sustainable production and energy use, value-chain finance, and the business and socio-political environment—and appraised for methodological quality with the Mixed Methods Appraisal Tool, so that heterogeneous designs were weighted rather than treated as equivalent. The synthesis shows that the most binding constraints are transactional and institutional rather than purely technical, and that governance operates as a conditional bridge: cooperatives, contracting, trader coordination, market-support institutions and public enabling arrangements lower transaction costs and stabilize exchange only where transparency, credible enforcement, fair risk-sharing and protection against opportunism are present; where these are absent, the same arrangements shift risk onto farmers. The review derives a measurement-focused, equity-sensitive research agenda for resilient and sustainable value-chain integration under constraints. Full article

Accurately detecting viable foodborne pathogenic bacteria is essential for food safety risk assessments and public health interventions. Traditional plate counting is time-consuming and operationally cumbersome. Immunological assays are unable to distinguish viable from dead cells, whereas conventional nucleic acid amplification is often affected by residual DNA originating from dead bacteria. These limitations render conventional approaches inadequate for rapid and precise field detection. Functional nucleic acids (FNAs) offer a promising alternative for viability detection because of their high sensitivity, specificity, target diversity, and programmable integrability. This review provides a systematic overview of molecular recognition strategies and FNA-based detection technologies for identifying viable foodborne microorganisms. We categorize the biomarkers targeted by FNAs into nucleic acids, surface structures, and metabolic activities. Building on this categorization, we examine the core principles and technological evolution of primers, aptamers, DNAzymes, guide nucleic acids, and oligonucleotide probes in viability discrimination. We then outline the practical applications of these technologies across the food supply chain and discuss the remaining challenges and future directions in the field. Ultimately, this work provides a theoretical reference and practical guidance for ensuring food safety and advancing precise microbial risk management. Full article