Search Results (67)

Background/Objectives: Military Service Members (SMs) require optimal nutrition to support health, readiness, and job performance. However, they often fall short of meeting nutrition guidelines. This study aimed to determine the impact and feasibility of implementing the U.S. Marine Corps (USMC) “Fueled to Fight^®” (F2F) nutrition program in non-appropriated fund (NAF) food venues. Objectives included evaluating changes in Military Nutrition Environment Assessment Tool (mNEAT) scores, feasibility of implementing and maintaining F2F strategies, and influence on customer purchasing patterns. Methods: Researchers conducted a pre-post interventional study from January to December 2024 at three NAF food venues across two USMC bases. F2F strategies, including identifying items using a stoplight color coding system (Green = healthy, Yellow = less healthy, Red = least healthy), menu revisions, food placement, promotion, and marketing, were implemented. Data included mNEAT assessments, sales reports, and stakeholder focus groups. Generalized Estimating Equations models were used to analyze sales data. Results: mNEAT scores increased across all venues post-intervention. Availability and sales of Green items increased, while sales of Red items decreased in some venues. Profit increased at all three food venues. Focus groups revealed feasibility and provided insights for future interventions. Conclusions: F2F interventions in NAF food venues are feasible and can positively impact the food environment and customer purchasing patterns without negatively affecting profit. This study highlights the importance of integrating nutrition programs into all military food venues, not just government-funded dining facilities, to support the nutritional fitness and readiness of SMs. Full article

Increasing temperatures associated with climate change will lead to (periodic) temperature-induced reductions in food intake in human and other mammal populations. Human adults, however, are both tolerant and resilient to periodic nutritional deficits, and the associated health effects should be limited. Intermittent nutritional deficits may also cause growth restriction in developing foetuses and young children, which potentially affects their food intake in later life. Therefore, temperature-induced hypophagia can be hypothesised to manifest as later compensatory responses with multiple concomitant (or extended) lags of varying temporal dimensions. We examined the relationship between calorie intake and ambient outdoor temperatures for a time series covering past decades (FAO data for 1961–2013) in 80 countries to determine if humans alter their food intake in response to elevated temperatures. We included eleven different temporal “windows of exposure” of varying lag. These windows considered current and recent exposure, just as lagged effects allowed for a consideration of past effects on mothers, their children, and childhood exposure. It was hypothesised that one of these could provide a basis for predicting future changes in human calorie intake in response to climate change. Our analyses showed no apparent association with temperatures in ten of the eleven hypotheses/models. The remaining hypothesis suggests that current calorie intake is linked to decadal mean temperatures with a lag of approximately three decades, pointing to an impact on mothers and their (developing) children. The impact of an increase in mean temperature varies with temperature amplitudes, and negative impacts are only found in countries with low temperature amplitudes (warmer countries), albeit the impact on calorie intake caused by a 2–3 °C change in temperatures or temperature amplitudes is generally modest. However, in considering calorie intake, we only address quantities of food (with unspecified quality), which insufficiently reflect the full range of nutritional challenges associated with increasing temperatures. Understanding climate-driven changes in human food intake requires global interdisciplinary collaboration across public health, environmental science, and policy. Full article

Lignin, the most abundant renewable aromatic biopolymer on Earth, is rapidly emerging as a powerful enabler of next-generation sustainable technologies. This review shifts the focus to the latest industrial breakthroughs that exploit lignin’s multifunctional properties across energy, agriculture, healthcare, and environmental sectors. Lignin-derived carbon materials are offering scalable, low-cost alternatives to critical raw materials in batteries and supercapacitors. In agriculture, lignin-based biostimulants and controlled-release fertilizers support resilient, low-impact food systems. Cosmetic and pharmaceutical industries are leveraging lignin’s antioxidant, UV-protective, and antimicrobial properties to create bio-based, clean-label products. In water purification, lignin-based adsorbents are enabling efficient and biodegradable solutions for persistent pollutants. These technological leaps are not merely incremental, they represent a paradigm shift toward a materials economy powered by renewable carbon. Backed by global sustainability roadmaps like the European Green Deal and China’s 14th Five-Year Plan, lignin is moving from industrial residue to strategic asset, driven by unprecedented investment and cross-sector collaboration. Breakthroughs in lignin upgrading, smart formulation, and application-driven design are dismantling long-standing barriers to scale, performance, and standardization. As showcased in this review, lignin is no longer just a promising biopolymer, it is a catalytic force accelerating the global transition toward circularity, climate resilience, and green industrial transformation. The future of sustainable innovation is lignin-enabled. Full article

Previous work used machine learning (ML) to estimate past and current alfalfa yields and showed that domain adaptation (DA) with data synthesis shows promise in classifying yields as high, medium, or low. The current work uses similar techniques to forecast future alfalfa yields. A novel technique is proposed for forecasting alfalfa time series data that exploits stationarity and predicts differences in yields rather than the yields themselves. This forecasting technique generally provides more accurate forecasts than the established ARIMA family of forecasters for both univariate and multivariate time series. Furthermore, this ML-based technique is potentially easier to use than the ARIMA family of models. Also, previous work is extended by showing that DA with data synthesis also works well for predicting continuous values, not just for classification. The novel scale-invariant tabular synthesizer (SITS) is proposed, and it is competitive with or superior to other established synthesizers in producing data that trains strong models. This synthesis algorithm leads to R scores over 100% higher than an established synthesizer in this domain, while ML-based forecasters beat the ARIMA family with symmetric mean absolute percent error (sMAPE) scores as low as 12.81%. Finally, ML-based forecasting is combined with DA (ForDA) to create a novel pipeline that improves forecast accuracy with sMAPE scores as low as 9.81%. As alfalfa is crucial to the global food supply, and as climate change creates challenges with managing alfalfa, this work hopes to help address those challenges and contribute to the field of ML. Full article

Table olive pitting machines (DRRs) are essential in the agri-food industry but face significant limitations that constrain their performance and compromise process reliability. The main defect, known as the “boat error”, results from improper olive orientation during pitting, leading to bone fragmentation, pulp damage, and potential risks to consumer safety. Traditional quality control methods, such as the use of flotation tanks and expert sensory evaluation, rely on destructive sampling, are time-consuming, and reduce overall productivity. To address these challenges, this study presents a novel computer vision (CV) system integrated into a commercial DRR machine. The system captures high-speed images of Gordal olives (Olea europaea regalis) just before pitting; these are later analyzed offline using a custom MATLAB application that applies HSV-based segmentation and morphological analysis to quantify the olive size and orientation. The method accurately identifies boat error cases based on angular thresholds, without interrupting the production flow or damaging the product. The results show that 97% of olives were correctly aligned, with only 1.1% presenting critical misorientation. Additionally, for the first time, the system allowed a detailed evaluation of the olive size distribution at the machine inlet, revealing an unexpected proportion of off-caliber olives. This contamination in sizing suggests a possible link between calibration deviations and the occurrence of boat errors, introducing a new hypothesis for future investigation. While the current implementation is limited to offline analysis, it represents a non-destructive, low-cost, and highly precise diagnostic tool. This work lays the foundation for a deeper understanding of DRR machine behavior and provides a framework for future developments aimed at optimizing their performance through targeted correction strategies. Full article

The Amazon region’s rich biodiversity supports a bioindustry model that utilizes various biological assets from different plant species, and where it will add value to existing production chains, starting to supply bio industrialized products and not just primary products. Guarana (Paullinia cupana) is rich in bioactive compounds that interest the food and pharmaceutical industries. Thus, the main objective of this review is to present ways to add value to the guarana production chain by developing bioproducts using the residues generated in its processing. During processing, various residues are generated, as follows: peel (corresponding to 30% of the total mass of the fruit), and pulp (aryl), shell, and spent seeds, which have potential for application according to their characteristics. These residues were used to obtain bioactive compounds (catechins, theobromine, and caffeine) through different types of extraction (conventional, enzymatic, and pressurized liquid), and, subsequently, encapsulation. They were also applied in biodegradable and active packaging. Due to the high hemicellulose concentration, residual guarana seeds’ characteristics could potentially produce xylooligosaccharides (XOS). Therefore, the concept of biorefinery applied within the guarana production chain provides products that can be studied in the future to determine which processes are viable for expanding and valuing the productive chain of this fruit, in addition to strengthening sustainable development in the Amazon. Full article

The current changing climate requires the development of water–energy–food (WEF) nexus-oriented systems capable of mainstreaming climate-smart innovations into resource management. This study demonstrates the cross-sectoral impacts of climate change on interlinked sectors of water, energy, and food in Narok County, Kenya, and Vhembe District, South Africa. This study used projected hydroclimatic extremes across past, present, and future scenarios to examine potential effects on the availability and accessibility of these essential resources. The projected temperature and rainfall are based on nine dynamically downscaled Coupled Model Intercomparison Project Phase 5 (CMIP 5) of the Global Climate Models (GCMs). The model outputs were derived from two IPCC “Representative Concentration Pathways (RCPs)’’, the RCP 4.5 “moderate scenario”, and RCP 8.5 “business as usual scenario”, also defined as the addition of 4.5 W/m² and 8.5 W/m² radiative forcing in the atmosphere, respectively, by the year 2100. For the climate change projections, outputs from the historical period (1976–2005) and projected time intervals spanning the near future, defined as the period starting from 2036 to 2065, and the far future, spanning from 2066 to 2095, were considered. An ensemble model to increase the skill, reliability, and consistency of output was formulated from the nine models. The statistical bias correction based on quantile mapping using seven ground-based observation data from the South African Weather Services (SAWS) for Limpopo province and nine ground-based observation data acquired from the Trans-African Hydro-Meteorological Observatory (TAHMO) for Narok were used to correct the systematic biases. Results indicate downscaled climate change scenarios and integrate a modelling framework designed to depict the perceptions of future climate change impacts on communities based on questionnaires and first-hand accounts. Furthermore, the analysis points to concerted efforts of multi-stakeholder engagement, the access and use of technology, understanding the changing business environment, integrated government and private sector partnerships, and the co-development of community resilience options, including climate change adaptation and mitigation in the changing climate. The conceptual climate and WEF resource modelling framework confirmed that future climate change will have noticeable interlinked impacts on WEF resources that will impact the livelihoods of vulnerable communities. Building the resilience of communities can be achieved through transformative WEF nexus solutions that are inclusive, sustainable, equitable, and balance adaptation and mitigation goals to ensure a just and sustainable future for all. Full article

Food systems are difficult to model, given the challenge of defining socially desirable food system outcomes. Research that aims to advance agri-food systems must reveal opportunities for integrated food systems planning and assess its outcomes. The climate, biodiversity, health, and justice (CBHJ) nexus provides such a lens, and it is a potentially useful tool for understanding how (or whether) food systems planning and policy studies employ a systems-based, integrated perspective. Further, it may be used to identify how agri-food systems planning and policy engage with local objectives and co-benefits related to climate change adaptation and mitigation, biodiversity conservation, community health, and social justice. This research proposes an indicator framework to operationalize the CBHJ nexus, by undertaking a scoping review of over one hundred local agri-food planning and policy studies. Outcomes from this work reveal the nature and degree to which agri-food systems research adopts a systems lens that comprehensively models resilience, sustainability, and justice. Outcomes related to biodiversity, procedural justice, and mental wellbeing were not common in the dataset. Recommendations from the work include guidance on how the nexus can broaden the quantitative and qualitative data-driven measurements of food system outcomes. Future work is required to define appropriate CBHJ outcomes and their possible measurements across scales beyond just local levels. Full article

Food security continues to be an issue in the United States, especially in urban healthy food priority areas. Most interventions prioritize physical and economic access, just one of the four pillars of food security. We present the beginnings of a framework to help qualitatively assess an intervention’s contributions to various dimensions and sub-dimensions of food security and summarize the contributions of dominant interventions observed in the literature. We have followed Food Forward, a meal box social enterprise, since its conception in 2021. As a case study, we apply the framework and find that meal boxes have the potential to comprehensively address all dimensions of food security at the household level. Community involvement in strategic planning and operations can improve food utilization, and a financially sustainable social enterprise model can facilitate access, availability, and utilization stability. Future research is needed to develop the framework further by adding indicators to assess individual and collective contributions of community-based interventions to household food security. Longitudinal studies for innovative social business models for meal boxes are necessary to assess their contribution to the stability dimension of household food security. Full article

Dietary patterns, such as the Mediterranean diet (MD) and the Western diet (WD), influence gut microbiota composition and functionality, which play important roles in energy metabolism and nutrient absorption. Objectives: A descriptive cross-sectional study was designed to evaluate the gut microbiota of 19 Spanish adolescents and to investigate the association of MD and ultra-processed food (UPF) intake with microbial diversity and community structure. Methods: Functional diversity of gut microbiota was evaluated using Biolog EcoPlates, taxonomic composition was assessed with 16S rRNA sequencing via MinION, and phenotypic responses to antibiotics were analyzed using the cenoantibiogram technique under aerobic and anaerobic conditions. Results: Adolescents with higher adherence to the MD exhibited greater functional diversity, as per the Shannon–Weaver index. In addition, this group showed higher abundance of bacterial genera previously described as beneficial, such as Paraclostridium, Anaerobutyricum, Romboutsia, and Butyricicoccus. In contrast, adolescents reporting greater UPF intakes had a microbiota composition similar to those with low adherence to the MD, characterized by decreased abundance of beneficial genera. Regarding antibiotic resistance, significant differences were only observed under anaerobic conditions, with individuals with low adherence to the MD showing more sensitivity for most antibiotics tested. Conclusions: These results suggest that the MD promotes a healthier and more balanced gut environment, potentially improving metabolic functions in adolescents. Despite the lack of differences in α-diversity, comparisons of microbial community structure between adolescents following the MD and those with high UPF (characteristic of the WD) showed clear differences in terms of β-diversity. These findings suggest that dietary patterns influence the composition of the gut microbiota in a more complex manner, beyond just taxonomic richness. The outcomes of this exploratory study highlight opportunities for future research to deepen understanding of the long-term health implications of these dietary patterns, as well as the mechanisms regulating the composition, functionality, and phenotypic responses to antibiotics of gut microbial communities. Full article

Background & Objectives: Correct nutrition during pregnancy is key to guaranteeing success at this stage of a woman’s life, and nutritional education is the fundamental tool for achieving this. Studies carried out in different countries indicate that pregnant women do not comply with dietary and nutritional recommendations. Given the lack of evidence available in Spain and the importance of this knowledge to be able to assess the need for nutritional intervention in this group, the aim of this study focused on the current status of the issue in Spain: the quality of the diet of Spanish pregnant women and its conditioning factors. Methods: Two representative regions of the country were selected, one located in the north of Spain (Burgos) and the other in the south (Granada), and a descriptive, cross-sectional observational study (sample size: 771) was carried out using a questionnaire administered at the University Hospital of Burgos and the Hospital Clínico San Cecilio in Granada, which had previously been subjected to a process of evaluation by expert judgement. Results: Pregnant women presented an adequate diet quality (8.0 ± 2.0), according to the questionnaire used, despite their poor knowledge of food and nutrition (4.9 ± 1.6 out of 10). However, deficiencies were detected in the consumption of very interesting food groups from a nutritional point of view, such as legumes, nuts and fish (just 29.4%, 37.6% and 24.8% of the pregnant women met the recommendations, respectively) and insufficient physical exercise. The eating habits of pregnant women depend on their age, their country of origin, their level of education, their pre-pregnancy BMI, the knowledge acquired during pregnancy and the degree to which they put into practice the advice received from their midwife. Most pregnant women do not change their habits during pregnancy, although there are positive trends in this respect. Conclusion: The quality of the diet of the Spanish pregnant women surveyed, and their level of physical activity, could be improved by enhancing the nutritional education they receive during this stage of life. The role of the dietician in this respect, as part of multidisciplinary teams, should be the basis for future research. Full article

Food systems are linked to multiple critical sustainability issues such as climate change, environmental degradation, and growing socioeconomic inequalities, and there is a clear need for transformative changes in how food systems are imagined and enacted. For transformations to occur, local governments and stakeholders must be able to consider achievable and desirable futures that involve radically different reconfigurations of space and land use. Based in Revelstoke, Canada, this study uses interactive visualization methods to engage local government and food systems stakeholders in an exploration of three future food systems scenarios that center on changes in food supply, food affordability, and food governance. An interactive visualization tool was developed using the Unity3D game engine, which visualizes how transformations of an underutilized railway site in Revelstoke may appear in 2100. The visualizations were presented to the study participants (n = 10) through an online, Zoom-based workshop, where ‘walkthroughs’ of the scenarios were performed by the researchers and the participants subsequently provided feedback. The results of this study indicate that visualization tools can elicit emotional responses, convey human relationships with food and nature, communicate power dynamics, and incorporate social justice considerations. The results also show that the visualization’s representation of local infrastructure and services, the completeness of a virtual environment, and the plausibility of a depicted future affect the user assessment of the visualized scenarios. Full article

Biopolymers exhibit a large variety of attractive properties including biocompatibility, flexibility, gelation ability, and low cost. Therefore, especially in more recent years, they have become highly suitable for a wider and wider range of applications stretching across several key sectors such as those related to food packaging, pharmaceutic, and medical industries, just to name a few. Moreover, biopolymers’ properties are known to be strongly dependent on the molecular arrangements adopted by such chains at the nanoscale and microscale. Fortunately, these arrangements can be altered and eventually optimized through a plethora of more or less efficient polymer processing methods. Here, we used a space-confined solvent vapor annealing (C-SVA) method to subject various biopolymers to rich swelling in solvent vapors in order to favor their further crystallization or self-assembly, with the final aim of obtaining thin biopolymer films exhibiting more ordered chain conformations. The results obtained by atomic force microscopy revealed that while the gelatin biopolymer nucleated and then crystallized into granular compact structures, other biopolymers preferred to self-assemble into (curved) lamellar rows composed of spherical nanoparticles (glycogen and chitosan) or into more complex helix-resembling morphologies (phytagel). The capability of the C-SVA processing method to favor crystallization and to induce self-assembly in various biopolymeric species or even monomeric units further emphasizes its great potential in the future structuring of a variety of biological (macro)molecules. Full article

Supply chain disruptions, a pandemic, and war in Ukraine have exposed faultlines in a globalised food system that depends on a few staple crops grown in a few exporting regions and transported to consumers around the world. In the UK, just three crops, (wheat, barley, and oilseed rape), account for 75 per cent of the UK’s 4.5 million hectares of arable land whilst the country imports around half its food—nearly 40 per cent—from just four EU countries (The Netherlands, Ireland, Germany, and France). Poor diets contribute to one in seven deaths in the UK, 63 per cent of the population is overweight or obese and health inequality is increasing between the poorest and most affluent regions. The food security and health of the UK population is therefore dependent on a small number of locally grown crops, vulnerable supply chains, and an unhealthy, obesogenic diet. The UK food system must diversify if it is to become food and nutritionally secure, meet its climate and biodiversity goals and have a healthy and active population. Climate-resilient and nutritious underutilised crops can help diversify the UK agrifood system, but research and investment in them is sporadic, piecemeal, and unfocused. In this paper, we compare two approaches to identifying potentially suitable underutilised crops for the UK. The first, based on UK Department for Environment, Food and Rural Affairs (Defra) Project CH0224, was delivered through literature and database searches and the expertise of growers, advisers, breeders, seed suppliers, processors, traders, and researchers. The second used the CropBASE digital knowledge base for underutilised crops. The two approaches produced no single crop that was common to both shortlists. We propose that the analytical and predictive tools derived from CropBASE could be combined with local knowledge and expertise from the Defra project to provide a common framework for the identification of underutilised crops that are best suited to local UK circumstances now and in climates of the future. Full article

(1) Background: Food insecurity (FI) among university students has received less attention in Europe than in other regions before and during the COVID-19 pandemic. (2) Methods: A cross-sectional study was conducted between January and March 2022 using an online questionnaire (n = 924). The questionnaire addressed food security status; demographic, socioeconomic, and educational variables; academic performance; food consumption; and social support networks. The validated Food Insecurity Experience Scale was used to measure food security. Binary logistic regressions adjusted by age and gender were applied to identify FI-related factors. (3) Results: Just over 17% of the students were living with some level of FI, nearly one in three students reported having consumed few kinds of food, and 3.9% spent an entire day without eating due to a lack of resources. Food insecurity was associated with a higher likelihood of negative academic performance, decreased food consumption, and a lower likelihood of having a large support network, when compared to food-secure respondents. (4) Conclusions: The findings suggest that FI negatively impacts students’ academic performance and food consumption. Future public health programs should be prioritized to prevent students from experiencing hunger due to financial or resource constraints. Full article