Search Results (16)

Diabetes develops through a mix of clinical, metabolic, lifestyle, demographic, and environmental factors. Most current classification models focus on traditional biomedical indicators and do not include environmental exposure biomarkers. In this study, we develop and evaluate a supervised machine learning classification framework that integrates heterogeneous demographic, anthropometric, clinical, behavioral, and environmental exposure features to classify physician-diagnosed diabetes using data from the National Health and Nutrition Examination Survey (NHANES). We analyzed NHANES 2017–2018 data for adults aged ≥18 years, addressed missingness using Multiple Imputation by Chained Equations, and corrected class imbalance via the Synthetic Minority Oversampling Technique. Model performance was evaluated using stratified ten-fold cross-validation across eight supervised classifiers: logistic regression, random forest, XGBoost, support vector machine, multilayer perceptron neural network (artificial neural network), k-nearest neighbors, naïve Bayes, and classification tree. Random Forest and XGBoost performed best on the balanced dataset, with ROC AUC values of 0.891 and 0.885, respectively, after imputation and oversampling. Feature importance analysis indicated that age, household income, and waist circumference contributed most strongly to diabetes classification. To assess out-of-sample generalization, we conducted an independent 80/20 hold-out evaluation. XGBoost achieved the highest overall accuracy and F1-score, whereas random forest attained the greatest sensitivity, demonstrating stable performance beyond cross-validation. These results indicate that incorporating environmental exposure biomarkers alongside clinical and metabolic features yields improved classification performance for physician-diagnosed diabetes. The findings support the inclusion of chemical exposure variables in population-level diabetes classification and underscore the value of integrating heterogeneous feature sets in machine learning-based risk stratification. Full article

Oxidative stability plays an important role in determining the quality of oxidation-sensitive foods and beverages such as beer, wine, and edible oils. Oxidation occurs through radical chain reactions producing off-flavors and leading to deterioration and decrease in the quality and nutritional value of food and beverages. In this context, electron paramagnetic resonance (EPR) spectroscopy has emerged as a powerful and selective technique for investigating reactions involving paramagnetic species, particularly free radicals and transition metal ions. This review provides a critical overview of the applications of EPR spectroscopy in the study of the oxidative stability and antioxidant activity of the above-mentioned matrices. It highlights the main methodological approaches that this technique can offer to gain insight into oxidative processes. Furthermore, current advances in low-cost and portable EPR instrumentation are discussed, along with their implications for broader adoption in both research and industry settings. The aim is to provide an up-to-date literature survey on the application of EPR spectroscopy for studying the oxidative stability and antioxidant activity of beer, wine, and edible oils, providing a methodological tool for academic and food industry researchers interested in monitoring, improving, and extending food shelf life through reliable analytical tools. Full article

Healthy nutrition is of great importance to maintain the physical and mental health of individuals. In recent years, products such as snack bars have become widely used to encourage healthy eating habits. This study compared the environmental footprints of four snack bar prototypes that adhere to the Mediterranean diet (MD) through a life cycle assessment (LCA). LCA is used to calculate an environmental footprint, encompassing six impact categories: Global Warming Potential (GWP), Abiotic Depletion (AD), Human Toxicity (Cancer (HTC) and Non-Cancer Effects (HTNC)), land use (LU), and water use (WU). The total impacts were as follows (prototypes 1–4, respectively): GWP 0.221/0.224/0.234/0.194 kg CO₂-eq; AD 2.35/2.87/2.63/2.01 MJ; HTC 9.13 × 10⁻¹⁰/7.69 × 10⁻¹⁰/9.82 × 10⁻¹⁰/9.88 × 10⁻¹⁰ CTUh; HTNC 1.03 × 10⁻⁸/1.51 × 10⁻⁹/4.16 × 10⁻⁹/3.03 × 10⁻⁹ CTUh; LU 14.8/21.6/21.8/10.8; WU 0.132/0.287/0.198/0.068 m³. Prototype 4, which yielded the lowest value across four indicators (GWP, AD, LU, and WU), is the most environmentally favorable. A range of 89–91% of the GWP originates from raw material production, while the share attributed to transportation is 3–4%. Nuts and dried fruit contents are decisive for WU and LU. The findings suggest that environmental impacts are highly sensitive to ingredient composition and agricultural inputs, and that selecting raw materials and optimizing the supply chain is critical for mitigation. Full article

The transition towards sustainable agri-food systems requires understanding factors influencing innovation adoption across agri-food companies. This systematic literature review, following PRISMA methodology, examines innovation types, their intended purposes, and adoption determinants among worldwide stakeholders. Data were extracted from Scopus and Web of Science databases using rigorous selection criteria, covering publications from January 2014 to January 2025. From 775 initial records, 80 publications were selected for quantitative analysis, of these 74 empirical studies included in qualitative analysis. Innovations were categorized based on ecological, economic, social, and institutional purposes, revealing ecological purpose innovations predominated. Subsequently, adoption factors were classified using the tripartite framework based on extrinsic, intrinsic, and intervening variables. Findings reveal developing regions (Sub-Saharan Africa and Asia) representing 65% of studies. Agriculture sector dominated research attention, with cereals as the most investigated value chain, reflecting their fundamental role in global food security and nutrition. Analysis demonstrates that adoption decisions result from complex interactions between external structural conditions, individual psychological factors, and support mechanisms. Results underscore the context-dependent nature of innovation adoption and the need for context-sensitive, multi-stakeholder approaches facilitating sustainable and digital food system transformations. Full article

West Africa’s agri-food systems face a triple burden of malnutrition, climate vulnerability, and structural inefficiencies that compromise nutrition and public health. Despite increased attention to food security, agricultural strategies often prioritize yield over dietary quality. This paper explores the critical role of food processing in advancing Nutrition-Sensitive Agriculture (NSA) and Nutrition-Smart Agriculture (NSmartAg) across West Africa. Drawing on a systems lens, it positions food processing not as a peripheral activity, but as a catalytic mechanism that connects nutrient-dense production with improved consumption outcomes. Food processing can reduce post-harvest losses, preserve micronutrients, extend food availability, and foster inclusive value chains particularly for women and youth. Yet, persistent challenges remain, including institutional fragmentation, infrastructure gaps, and limited financial and technical capacity. This paper proposes a conceptual framework linking food processing to NSA and NSmartAg objectives and outlines operational entry points for implementation. By integrating processing into agricultural policies, investment, education, and monitoring systems, stakeholders and policymakers can reimagine agriculture as a platform for resilience and nutritional equity. Strategic recommendations emphasize multisectoral collaboration, localized solutions, and evidence-informed interventions to drive the transformation toward sustainable, nutrition-oriented food systems. Full article

The food industry mostly utilises thermal processing technologies to enhance the food safety and shelf life by inactivating enzymes, pathogens, and spores. However, there is a shift towards consumer preference for minimally processed foods due to health concerns and the limitations of the conventional thermal processing methods. Thus, the food industry has recently increased the utilisation of non-thermal technologies for food processing and preservation in the production of foods while maintaining the nutritional and sensory qualities of the food. Non-thermal approaches including a Pulsed Electric Field (PEF), High-Pressure Processing (HPP), Ionising Radiation (IOR), Ultraviolet (UV) light, Pulsed Light (PL), and Cold plasma (CP) are increasingly being employed for food preservation, especially for heat-sensitive foods, as they enable microbial inactivation with minimal or no thermal application and less degradation of bioactive constituents of foods. As opposed to conventional thermal technologies that may compromise the food quality, non-thermal preservation processes retain the texture, taste, and rheological properties, therefore presenting an invaluable option in the food chain system. Moreover, non-thermal food processing approaches are becoming well-established within the food sector as they can be utilised for a wide range of food items. This paper provides a critical review of the industrial applications, mechanisms of action, and efficiency of major non-thermal food processing technologies. In addition, it also addresses their impact on the food quality, microstructure, and rheology, while exploring their limitations. Although these technologies are of great value in preserving the shelf life and food integrity, high upfront investment costs continue to discourage large-scale adoption. However, with the growing demand for fresh and minimally processed foods, the operational costs for these technologies are expected to become more accessible, promoting their widespread adoption in the industry. Full article

Shrimp are highly favored by consumers for their delicious taste and rich nutritional value. However, reports of allergic reactions caused by shrimp and its derivatives have been increasing, significantly impacting consumer health and posing a growing global food safety concern. This article introduces the structure and biochemical characteristics of major allergenic proteins in shrimp, including tropomyosin (TM), arginine kinase, sarcoplasmic calcium-binding protein, myosin light chain, troponin C, and hemocyanin. Currently, there is no effective treatment for shrimp allergies, and prevention is mainly achieved by avoiding consumption. The study of shrimp allergen sensitization reduction technology is of great significance to the development of hypoallergenic or desensitized products. The article provides a detailed overview of the effects of common processing techniques, including physical, chemical, biological, and combined methods, on the allergenicity of shrimp allergens; for instance, the binding rate to immunoglobulin E (IgE) was reduced by 73.59% after treating TM with high pressure (500 MPa) at 55 °C for 10 min and the recognition rate of TM to IgE decreased by 89.4% on average after treating TM with pepsin (30 μg/mL, pH 2) for 2 h. These techniques provide references for the development of hypoallergenic aquatic products or desensitized foods. Full article

Contracting COPD reduces a patient’s physical activity and restricts everyday activities (physical activity disorder). However, the fundamental cause of physical activity disorder has not been found. In addition, costly and specialized equipment is required to accurately examine the disorder; hence, it is not regularly assessed in normal clinical practice. In this study, we constructed a machine learning model to predict physical activity using test items collected during the normal care of COPD patients. In detail, we first applied three types of data preprocessing methods (zero-padding, multiple imputation by chained equations (MICE), and k-nearest neighbor (kNN)) to complement missing values in the dataset. Then, we constructed several types of neural networks to predict physical activity. Finally, permutation importance was calculated to identify the importance of the test items for prediction. Multifactorial analysis using machine learning, including blood, lung function, walking, and chest imaging tests, was the unique point of this research. From the experimental results, it was found that the missing value processing using MICE contributed to the best prediction accuracy (73.00%) compared to that using zero-padding (68.44%) or kNN (71.52%), and showed better accuracy than XGBoost (66.12%) with a significant difference (p < 0.05). For patients with severe physical activity reduction (total exercise < 1.5), a high sensitivity (89.36%) was obtained. The permutation importance showed that “sex, the number of cigarettes, age, and the whole body phase angle (nutritional status)” were the most important items for this prediction. Furthermore, we found that a smaller number of test items could be used in ordinary clinical practice for the screening of physical activity disorder. Full article

Rice is an important source of nutrition and energy consumed around the world. Thus, quality inspection is crucial for protecting consumers and increasing the rice’s value in the productive chain. Currently, methods for rice labeling depending on grain quality features are based on image and/or visual inspection. These methods have shown subjectivity and inefficiency for large-scale analyses. Laser-induced breakdown spectroscopy (LIBS) is an analytical technique showing attractive features due to how quick the analysis can be carried out and its capability of providing spectra that are true fingerprints of the sample’s elemental composition. In this work, LIBS performance was evaluated for labeling rice according to grain quality features. The LIBS spectra of samples with their grain quality numerically described as Type 1, 2, and 3 were measured. Several spectral processing methods were evaluated when modeling a k-nearest neighbors (k-NN) classifier. Variable selection was also carried out by principal component analysis (PCA), and then the optimal k-value was selected. The best result was obtained by applying spectrum smoothing followed by normalization by using the first fifteen principal components (PCs) as input variables and k = 9. Under these conditions, the method showed excellent performance, achieving sample classification with 94% overall prediction accuracy. The sensitivities ranged from 90 to 100%, and specificities were in the range of 92–100%. The proposed method has remarkable characteristics, e.g., analytical speed and analysis guided by chemical responses; therefore, the method is not susceptible to subjectivity errors. Full article

To study the impacts of implementing a gender-sensitive value chain development (VCD) initiative in the agri-food sector, we conducted a mixed-methods study of a woman-owned food processing business and its associated value chain in Touba, Senegal. As a result of partnering with a USAID-funded project, the business began producing instant fortified flours, an innovative, higher-value product compared to traditional porridge, using extrusion and fortification techniques. Drawing on Senegalese women’s association networks, the business connected with local women who could work as processors and retailers. Our study’s goal was to explore how the project’s support of this food processing value chain has affected the lives of women processors and retailers, farmers, and medical personnel along the value chain. Particularly relevant to our study is the general lack of opportunities for women to earn their own incomes in the study region, especially outside of the home, and provide for their families. Through surveys, interviews, observations, and novel participatory focus group activities, our study provides qualitative and quantitative evidence of the perceived impacts of value chain development on women’s empowerment, income, and nutrition by key stakeholders in the value chain. We find an often cited barrier to women’s empowerment is the husband’s lack of understanding and limitations placed on women’s mobility, yet we also find perceptions of women’s empowerment in this conservative religious context. Our findings and discussion highlight the need for more research into VCD projects on the complex and, at times, contradictory processes of women’s empowerment. The women in our study expressed a desire for freedom to work outside of the home, and they expressed a need for childcare and contraception. Notably, the women discussed positive community changes, such as infrastructure and the creation of a childcare center, that implicate women’s collective empowerment. We also highlight a promising research opportunity in Senegal to explore the subnational variation in women’s empowerment through VCD. Full article

The exponential increase of the human population demands the overuse of fertilizers and pesticides in agriculture practices to suppress food production needs. The excessive use of these chemicals (fertilizers and pesticides) can comport deleterious effects to the ecosystems, including aquatic systems and communities. Oxyfluorfen is a fluorine-based herbicide, and its application has increased, since it is seen as an alternative to control glyphosate-resistant weeds. Copper sulfate is an inorganic pesticide based on copper which is being used in several chemical formulations, and it is the second main constituent of fungicides. Besides the known effects of such products in organisms, climatic changes pose an additional issue, being a main concern among scientists and politicians worldwide, since these alterations may worsen ecosystems’ and organisms’ sensitivity to stress conditions, such as the exposure to pollutants. Thalassiosira weissflogii (Grunow) G. A. Fryxell & Hasle, 1977 plays an important role in aquatic food webs as a primary producer and an essential food source to zooplankton. Thus, alterations on the diatom’s abundance and nutritional value may lead to consequences along the trophic chain. However, few studies have evaluated the biochemical impacts of oxyfluorfen and copper sulfate exposure on diatoms. This study intends to (1) evaluate the effects on the growth rate of both contaminants on T. weissfloggi at three temperatures, considering the actual scenario of climatic changes, and (2) assess biochemical changes on the diatom when exposed to the chemicals at different temperatures. To achieve these aims, the marine diatom was exposed to the two chemicals individually at different temperatures. The results showed an increase in the growth rate with increasing temperatures. Oxyfluorfen exhibited higher toxicity than copper sulfate. At the biochemical level, the microalgae were greatly affected when exposed to oxyfluorfen at 20 °C and 25 °C and when exposed to copper sulfate at 15 °C. Moreover, a general increase was observed for the polysaccharide content along the copper sulfate and oxyfluorfen concentrations. Therefore, the contaminants show the ability to interfere with the diatom growth and the nutritive value, with their effects dependent on the temperature. Full article

Meat cultivation via cellular agriculture holds great promise as a method for future food production. In theory, it is an ideal way of meat production, humane to the animals and sustainable for the environment, while keeping the same taste and nutritional values as traditional meat and having additional benefits such as controlled fat content and absence of antibiotics and hormones used in the traditional meat industry. However, in practice, there is still a number of challenges, such as those associated with the upscale of cultured meat (CM). CM food safety monitoring is a necessary factor when envisioning both the regulatory compliance and consumer acceptance. To achieve this, a multidisciplinary approach is necessary. This includes extensive development of the sensitive and specific analytical devices i.e., sensors to enable reliable food safety monitoring throughout the whole future food supply chain. In addition, advanced monitoring options can help in the further optimization of the meat cultivation which may reduce the currently still high costs of production. This review presents an overview of the sensor monitoring options for the most relevant parameters of importance for meat cultivation. Examples of the various types of sensors that can potentially be used in CM production are provided and the options for their integration into bioreactors, as well as suggestions on further improvements and more advanced integration approaches. In favor of the multidisciplinary approach, we also include an overview of the bioreactor types, scaffolding options as well as imaging techniques relevant for CM research. Furthermore, we briefly present the current status of the CM research and related regulation, societal aspects and challenges to its upscaling and commercialization. Full article

The metabolism of α-tocopherol (α-TOH, vitamin E) shows marked interindividual variability, which may influence the response to nutritional and therapeutic interventions with this vitamin. Recently, new metabolomics protocols have fostered the possibility to explore such variability for the different metabolites of α-TOH so far identified in human blood, i.e., the “vitamin E metabolome”, some of which have been reported to promote important biological functions. Such advances prompt the definition of reference values and degree of interindividual variability for these metabolites at different levels of α-TOH intake. To this end, a one-week oral administration protocol with 800 U RRR-α-TOH/day was performed in 17 healthy volunteers, and α-TOH metabolites were measured in plasma before and at the end of the intervention utilizing a recently validated LC-MS/MS procedure; the expression of two target genes of α-TOH with possible a role in the metabolism and function of this vitamin, namely pregnane X receptor (PXR) and the isoform 4F2 of cytochrome P450 (CYP4F2) was assessed by immunoblot in peripheral blood leukocytes. The levels of enzymatic metabolites showed marked interindividual variability that characteristically increased upon supplementation. With the exception of α-CEHC (carboxy-ethyl-hydroxychroman) and the long-chain metabolites M1 and α-13′OH, such variability was found to interfere with the possibility to utilize them as sensitive indicators of α-TOH intake. On the contrary, the free radical-derived metabolite α-tocopheryl quinone significantly correlated with the post-supplementation levels of α-TOH. The supplementation stimulated PXR, but not CYP4F2, expression of leucocytes, and significant correlations were observed between the baseline levels of α-TOH and both the baseline and post-supplementation levels of PXR. These findings provide original analytical and molecular information regarding the human metabolism of α-TOH and its intrinsic variability, which is worth considering in future nutrigenomics and interventions studies. Full article

The Kingdom of Tonga has one of the highest rates of diet-related non-communicable diseases (NCDs) in the world. Initiatives to promote pro-health dietary behaviour are possibly being compromised by poor or inconsistent consumer accessibility to affordable and safe fresh fruits and vegetables, referred to as the agriculture–nutrition–income nexus. While donors increasingly focus on nutrition-sensitive agriculture across the Pacific, there is little contemporary information concerning Tonga’s domestic horticultural distribution and market system, particularly in regards to food loss. This study surveyed 292 municipal and road-side vendors on Tongatapu and ‘Utu Vava’u Islands, with the aim of mapping and analyzing horticultural markets and farm supply, transport logistics, and quantifying postharvest practice and market loss. Tonga’s domestic horticultural market structure consists of a central municipal market and on Tongatapu Island, a supplementary network of urban and rural based road-side vendors. There is limited inter-island trade, with most farms located within 25 km of the central municipal market. Mean postharvest horticultural loss was very low, at 1.4% to 5.3%, with road-side vendors more vulnerable to loss. This level of loss was thought to reflect short intra-island transport distance, the type of crops being traded, and rapid market throughput, rather than a level of value chain efficiency. Vendors regulated market supply volume and price discounting and were the principal strategies to mitigate postharvest loss. While low levels of postharvest loss, short transport logistics, and fast market throughput are consistent with a relatively efficient horticulture market system, vendor practice may be impeding fresh fruit and vegetable accessibility. Full article

The IFAD-NUS project, implemented over the course of a decade in two phases, represents the first UN-supported global effort on neglected and underutilized species (NUS). This initiative, deployed and tested a holistic and innovative value chain framework using multi-stakeholder, participatory, inter-disciplinary, pro-poor gender- and nutrition-sensitive approaches. The project has been linking aspects often dealt with separately by R&D, such as genetic diversity, selection, cultivation, harvest, value addition, marketing, and final use, with the goal to contribute to conservation, better incomes, and improved nutrition and strengthened livelihood resilience. The project contributed to the greater conservation of Andean grains and their associated indigenous knowledge, through promoting wider use of their diversity by value chain actors, adoption of best cultivation practices, development of improved varieties, dissemination of high quality seed, and capacity development. Reduced drudgery in harvest and postharvest operations, and increased food safety were achieved through technological innovations. Development of innovative food products and inclusion of Andean grains in school meal programs is projected to have had a positive nutrition outcome for targeted communities. Increased income was recorded for all value chain actors, along with strengthened networking skills and self-reliance in marketing. The holistic approach taken in this study is advocated as an effective strategy to enhance the use of other neglected and underutilized species for conservation and livelihood benefits. Full article