Search Results (170)

Background/Objectives: Adequate adolescent nutrition is vital for lifelong health, yet traditional school meal programs often emphasize processed foods. Digital nudges, subtle digital changes, may help promote healthier food choices. This study aimed to evaluate the impact of a digital nudge intervention in a smart school canteen on students’ food choices and nutrient intake over three months. Methods: A pre-post single-arm (quasi-experimental) study was conducted among 502 high school students (aged 15–17) in Shenyang, China. In August 2023, the school implemented a smart canteen with a mobile mini-program for meal pre-ordering. Embedded digital nudges included improved visibility of healthy options, nutritional information, and default settings favoring nutritious choices. Dietary intake was assessed using a 3-day 24 h dietary record and a food frequency questionnaire. Paired t-tests, Wilcoxon signed-rank, and chi-square tests were used for analysis. Results: Post-intervention, the weekly consumption frequency of coarse grains (p = 0.017), fruits (p < 0.001), seafood (p < 0.001), and soy products (p < 0.001) significantly increased, while sweets (p = 0.033), sugary drinks (p = 0.015), fast food, and eating out (both p < 0.001) decreased. Daily calcium intake rose from 683.00 mg to 804.11 mg (p < 0.1), and the proportion meeting recommendations increased from 39.3% to 50.9%. No significant change was observed in vitamin C intake (p = 0.192). Conclusions: The digital nudge intervention in the smart school canteen effectively improved students’ dietary choices, particularly increasing the consumption frequency of healthy foods and dietary calcium intake. Full article

The growing demand for health-promoting food products has led to increased efforts to develop formulations enriched with probiotics and dietary fiber (DF). While traditional fermented foods remain widely recognized sources of probiotics, there is a pressing need to innovate novel, nutritious, and high-quality alternatives that also incorporate additional functional ingredients. In the context of sustainable consumption and health-conscious dietary trends, fruit and berry pomace has emerged as a promising source of DF with prebiotic potential, supporting the growth and activity of beneficial gut microorganisms. A growing body of research emphasizes the potential of pomace valorization, showcasing its relevance in the development of value-added food products. This review explores the key features and selection principles for probiotic strains, particularly those from the former group of Lactobacillus species, alongside opportunities for combining probiotics with fruit and berry pomace in functional food matrices. Special attention is given to the physiological and technological attributes of DF derived from pomace, which are critical for their successful application in food systems and their potential synergistic effects with probiotics. Although numerous probiotic-enriched products are currently available, DF remains an underutilized component in many of these formulations. Research has predominantly focused on dairy-based applications; however, the increasing demand for plant-based diets calls for a shift towards non-dairy alternatives. Looking forward, future innovations should prioritize the integration of probiotics and pomace-derived DF as symbiotic systems into plant-based food products, with an emphasis on their dual roles as nutritional enhancers and potential prebiotics. Full article

Objective: To explore the relationship between type of grocery store used (chain vs. independent), transportation access, food insecurity, and fruit and vegetable intake in Detroit, Michigan, USA, during the COVID-19 pandemic. Design: A cross-sectional online survey was conducted from December 2021 to May 2022. Setting: Detroit, Michigan. Participants: 656 Detroit residents aged 18 and older. Results: Bivariate analyses showed that chain grocery store shoppers reported significantly greater fruit and vegetable intake (2.42 vs. 2.14 times/day for independent grocery store shoppers, p < 0.001) and lower rates of food insecurity compared to independent store shoppers (45.9% vs. 65.3% for independent grocery store shoppers, p < 0.001). Fewer independent store shoppers used their own vehicle (52.9% vs. 76.2% for chain store shoppers, p < 0.001). After adjusting for socioeconomic and demographic variables transportation access was strongly associated with increased odds of shopping at chain stores (OR = 1.89, 95% CI [1.21,2.95], p = 0.005) but food insecurity was no longer associated with grocery store type. Shopping at chain grocery stores was associated with higher fruit and vegetable intake after adjusting for covariates (1.18 times more per day, p = 0.042). Qualitative responses highlighted systemic barriers, including poor food quality, high costs, and limited transportation options, exacerbating food access inequities. Conclusions: These disparities underscore the need for targeted interventions to improve transportation options and support food security in vulnerable populations, particularly in urban areas like Detroit. Addressing these structural challenges is essential for reducing food insecurity and promoting equitable access to nutritious foods. Full article

Greenhouse horticulture plays an important role globally by producing nutritious fruits and vegetables with high resource use efficiency. Modern greenhouses are large-scale high-tech production factories that are increasingly data-driven, and where climate and irrigation control are gradually becoming more autonomous. This is enabled by technological developments and driven by shortages in skilled labor and the demand for improved resource use efficiency. In the Autonomous Greenhouse Challenge, it has been shown that controlling greenhouse cultivation can be done efficiently with intelligent algorithms. For an optimal strategy, however, it is essential that control algorithms properly account for crop responses, which requires appropriate sensors, reliable data, and accurate models. This paper presents the results of the 4th Autonomous Greenhouse Challenge, in which international teams developed six intelligent algorithms that fully controlled a dwarf tomato cultivation, a crop that is well-suited for robotic harvesting, but for which little prior cultivation data exists. Nevertheless, the analysis of the experiment showed that all teams managed to obtain a profitable strategy, and the best algorithm resulted a production equivalent to 45 kg/m²/year, higher than in the commercial practice of high-wire cherry tomato growing. The predominant factor was found to be the much higher plant density that can be achieved in the applied growing system. More difficult challenges were found to be related to measuring crop status to determine the harvest moment. Finally, this experiment shows the potential for novel greenhouse cultivation systems that are inherently well-suited for autonomous control, and results in a unique and rich dataset to support future research. Full article

Grapes, highly nutritious and flavorful fruits, require adequate chlorophyll to ensure normal growth and development. Consequently, the rapid, accurate, and efficient detection of chlorophyll content is essential. This study develops a data-driven integrated framework that combines hyperspectral imaging (HSI) and convolutional neural networks (CNNs) to predict the chlorophyll content in grape leaves, employing hyperspectral images and chlorophyll a + b content data. Initially, the VGG16-U-Net model was employed to segment the hyperspectral images of grape leaves for leaf area extraction. Subsequently, the study discussed 15 different spectral preprocessing methods, selecting fast Fourier transform (FFT) as the optimal approach. Twelve one-dimensional CNN models were subsequently developed. Experimental results revealed that the VGG16-U-Net-FFT-CNN1-1 framework developed in this study exhibited outstanding performance, achieving an R² of 0.925 and an RMSE of 2.172, surpassing those of traditional regression models. The t-test and F-test results further confirm the statistical robustness of the VGG16-U-Net-FFT-CNN1-1 framework. This provides a basis for estimating chlorophyll content in grape leaves using HSI technology. Full article

Peach palm (Bactris gasipaes Kunth) is a long-lived tropical palm valued for its edible, nutritious fruits. The cultivation area of peach palm, which was introduced to Thailand for fruit production, has been steadily expanding. Small brown spots that expanded into irregular lesions with dark margins were first observed on B. gasipaes seedlings in commercial nurseries in Phetchaburi Province, southern Thailand. To identify the causal pathogens, ten fungal isolates were obtained from symptomatic leaves and subjected to pathogenicity tests, confirming their ability to cause the disease. Morphological and molecular analyses identified five isolates as Colletotrichum fructicola (BGC02.2, BGC03) and C. theobromicola (BGC01, BGC02.1, BGC04) and five isolates as Fusarium pernambucanum (BGF01, BGF02, BGF03, BGF04.1, BGF04.2). Phylogenetic analysis was based on act, cal, gapdh, ITS, and tub2 regions for Colletotrichum spp. and cal, rpb2, and tef1-α for Fusarium spp. In vitro fungicide assays revealed that C. fructicola and C. theobromicola were the most sensitive to carbendazim, mancozeb, and prochloraz, while F. pernambucanum was effectively inhibited by mancozeb and prochloraz. This study represents the first report of C. fructicola, C. theobromicola, and F. pernambucanum causing leaf spot disease on B. gasipaes in Thailand, providing essential insights for disease management strategies in the region. Full article

Background/Objectives: The transition to university life brings significant social, psychological, and environmental changes, making it a critical period for establishing long-term dietary habits. However, many Mexican university students fail to meet national dietary guidelines, increasing their risk of non-communicable diseases. This study examines the determinants of healthy eating among university students in Oaxaca using a holistic, multi-level approach grounded in the Social Ecological Model (SEM) and Social Cognitive Theory (SCT). Methods: A mixed-methods approach was employed, integrating ethnography with a validated self-report questionnaire completed by 411 students at the Universidad Autónoma Benito Juárez de Oaxaca (UABJO). The ethnographic data included observations, field notes, photographs, informal conversations, and 13 semi-structured interviews. Data triangulation provided a comprehensive understanding of dietary behaviors by capturing both self-reported patterns and real-world eating practices and the food environment, as captured through ethnographic methods. The analysis included descriptive statistics, normality tests, and parametric tests to assess significant differences. Results: The findings revealed a decline in diet quality, characterized by low fruit and vegetable intake, high snack consumption, and irregular meal patterns, particularly among students living independently. Key barriers included academic stress, time constraints, low cooking self-efficacy, limited nutritional knowledge, peer pressure, and negative social norms, which contributed to reliance on convenient, processed foods. The lack of healthy food options on campus and the high perceived cost of nutritious food further led students to prioritize cheap, calorie-dense foods over healthier choices. Conversely, enablers included structured university schedules; peer support; hands-on culinary interventions; and improved access to affordable, healthy food. Conclusions: Addressing these barriers requires multi-level interventions that enhance nutrition literacy, cooking self-efficacy, and peer-led strategies while improving the campus food environment. Future research should explore SCT-based initiatives leveraging social networks and culinary education to foster sustainable dietary behavior change in university settings and assess how these findings can be applied in other socioeconomic and cultural contexts. Full article

Introduction: Childhood obesity has reached critical levels in Chile, particularly among preschoolers from low-income families who face barriers to nutritious food and physical activity. Early interventions are essential to mitigate long-term health risks. This study evaluates the Chile Active Intervention, a community-based program promoting physical activity and healthy eating among preschoolers attending public daycare centers in Antofagasta, Santiago, and Temuco. Objective: To assess the effectiveness of a structured intervention in improving physical activity levels, dietary habits, and obesity-related risk factors in children aged 3 to 5 years old. Methods: A quasi-experimental design was implemented with intervention and control groups, including 1204 children from public daycare centers. The intervention-comprised educator training on healthy eating structured physical activity sessions tailored for young children and family engagement through “Healthy Days” events. Pre- and post-intervention assessments measured anthropometric variables, body composition, physical activity, and dietary intake. Results: The intervention led to positive changes in weight-for-height Z-scores, body fat percentage, and skinfold thickness, particularly among high-risk children. Physical activity assessments showed reduced sedentary time and increased active play. Dietary improvements included higher fruit and vegetable consumption and reduced ultra-processed food intake. Conclusions: This study demonstrates that early, community-based interventions can effectively improve health behaviors in preschoolers. The program’s scalability across Chile is promising, with parental involvement and institutional support being key to sustaining impact. Long-term evaluations are recommended to assess its lasting effects on childhood health outcomes. Full article

Background/Objectives: The Ministry of Health and Education in Saudi Arabia established school canteen guidelines that have been mandatory since 2014. Only one previous study has investigated the compliance of public high schools with these guidelines. The aim of this study is to explore public primary school compliance with the school canteen policy guidelines set by the Saudi Ministry of Health and Education. Methods: A cross-sectional study with a total of 80 public primary schools randomly selected from five regions in Riyadh, Saudi Arabia, was conducted. School canteens were explored using a school canteen checklist provided by the Ministry of Education. The checklist contains a list of items grouped into healthy and unhealthy foods. A final assessment for alignment with the checklist was classified as either poor, average, or good. Canteen staff were provided with a structured questionnaire on the day of the school visit to gather their opinions and feedback regarding the canteen. Results: A total of 70% of schools showed an average rating for alignment with the Ministry of Health and Education guidelines; however, most of the items available in canteens were unhealthy. The canteen staff recommended adding healthier options like milk, fruit, and vegetables to school canteens. Furthermore, canteen staff reported issues in regard to expensive foods and a lack of choice in healthy food options. Conclusions: This study has shown that public primary schools in Riyadh, Kingdom of Saudi Arabia (KSA), have an average rating alignment with the Ministry of Health and Education’s school food policy guidelines. This study highlights the need for improvement in the Saudi Ministry of Education’s checklist, particularly regarding the availability of healthy foods, including milk, fruits, vegetables, and other nutritious items. Full article

Red jujube is a nutritious food, known as the “king of all fruits”. The quality of Chinese red jujube is closely associated with its place of origin. To classify Chinese red jujube more correctly, based on the combination of adaptive boosting (Adaboost) and common vectors linear discriminant analysis (CLDA), Adaboost-CLDA was proposed to classify the near-infrared (NIR) spectra of red jujube samples. In the study, the NIR-M-R2 spectrometer was employed to scan red jujube from four different origins to acquire their NIR spectra. Savitzky–Golay filtering was used to preprocess the spectra. CLDA can effectively address the “small sample size” problem, and Adaboost-CLDA can achieve an extremely high classification accuracy rate; thus, Adaboost-CLDA was performed for feature extraction from the NIR spectra. Finally, K-nearest neighbor (KNN) and Bayes served as the classifiers for the identification of red jujube samples. Experiments indicated that Adaboost-CLDA achieved the highest identification accuracy in this identification system for red jujube compared with other feature extraction algorithms. This demonstrates that the combination of Adaboost-CLDA and NIR spectroscopy significantly enhances the classification accuracy, providing an effective method for identifying the geographical origin of Chinese red jujube. Full article

In recent years, the consumption of wild mushrooms in Central Europe has significantly increased. These mushrooms are increasingly recognized as a nutritious, low-calorie, and environmentally friendly food option. They are a valuable source of protein and are rich in vitamins and minerals; however, they can also accumulate toxic elements that may pose risks to human health. This study examined the mercury concentrations in the fruiting bodies of two edible forest mushroom species: Aureoboletus projectellus and Imleria badia. This study took into account the distribution of Hg in the two morphological parts of mushroom fruiting bodies—the caps and the stipes. The total mercury content of the mushroom samples was analyzed using an AMA-254 analyzer. Both mushroom species exhibited higher mercury concentrations in their caps than in their stipes, with levels measuring 0.048 mg·kg⁻¹ dry matter (DM) for Aureoboletus projectellus and 0.055 mg·kg⁻¹ DM for Imleria badia. The mercury content in the stipes was 0.032 mg·kg⁻¹ DM for Aureoboletus projectellus and 0.025 mg·kg⁻¹ DM for Imleria badia. The results obtained indicate that these species do not pose a health risk to consumers in terms of Hg content and can be a valuable addition to the human diet. They are also an indicator of the quality of the forest environment of the central coast of Poland, which should be considered free of mercury pollution. Full article

In order to obtain a highly nutritious extrudate, a combination of pseudocereals, vegetable protein, and banana flour, a fruit with high sensory acceptability, was used. The objective of the research was to produce a multi-component extrudate (ME) based on cañihua and quinoa with the addition of pea protein isolate and banana flour. The response variables evaluated were composition, expansion, hydration, colour, and hardness properties, as well as the microscopy and sensory characteristics of the flakes produced. These flakes were compared with three commercial extrudates, commercial quinoa-based extrudate (QE), commercial corn-based extrudate (CE), and commercial wheat-based extrudate (WE), which had similar characteristics. The ME showed a higher protein content compared to commercial extrudates (13.60%), and it had significant amounts of lipids, fibre, and ash. The expansion of the ME was like commercial quinoa but significantly lower than the CE and the WE in terms of expansion (p < 0.05). Regarding the absorption and solubility indices of the ME, these indicated that it had lower starch fragmentation compared to the commercial CE and WE. In addition, the instrumental hardness of the ME was higher than the commercial ones due to the complex nature of the product. Through scanning electron microscopy (SEM), it was observed that the ME showed some remaining extrusion-resistant starch granules from quinoa and cañihua with the presence of protein bodies. Finally, the flash profile described the ME as having a pronounced flavour, higher hardness, and lower sweetness, and the free sorting task allowed it to be differentiated from commercial extrudates based on its natural appearance and chocolate flavour. Full article

Papaya (Carica papaya L.) is a highly nutritious fruit crop cultivated commercially in the tropical and subtropical regions of the world. Being a shallow rooted fruit crop, it requires frequent application of nutrients. Papaya is highly remunerative due to its high productivity and responds positively to nutrient application. Papaya Ring Spot Virus (PRSV) is a major threat to papaya production, which causes severe yield loss and reduces fruit quality. To combat PRSV and enhance productivity, a nutrient formulation was developed by combining organic, inorganic nutrient sources with biocontrol agents to improve the health and vigor of the plants. Experiments were conducted to standardize the application time and evaluate the efficacy of nutrient formulation in enhancing yield, and to combat papaya ring spot virus (PRSV) incidence in papaya from January 2021 to December 2023 at Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India. The results revealed that foliar application of nutrient formulation at monthly intervals from the 3rd to the 7th month after planting (MAP) along with regular application of recommended dose of fertilizers (RDF) at bimonthly intervals from the 3rd MAP significantly increased the yield (37.79% and 30.57% in TNAU Papaya CO 8 and Red Lady, respectively) and reduced PRSV disease incidence (22.49% in TNAU Papaya CO 8 and 16.53% in Red Lady). Metabolomics study indicates that foliar spray of nutrient formulation enhanced the activators and precursors of defense enzymes, viz., peroxidase (PO), polyphenol oxidase (PPO), phenyl ammonia lyase (PAL), catalase (CAT) and nitrate reductase (NRase) in the sprayed plants over unsprayed control. Therefore, the sprayed plants exhibited tolerance to PRSV incidence by maintaining vigor and induced systemic resistance by the defense enzymes. Full article

Background: The average fibre consumption of 4–10-year-old children in the UK is 14.6 g per day, with only 14% of these children reaching the 20 g recommended by the SACN (UK Scientific Advisory Committee on Nutrition), and this ‘fibre gap’ may be most pronounced in communities with the lowest socioeconomic status. School breakfast clubs target children from disadvantaged communities, but their provision may favour lower-fibre foods, due to perceptions that children will reject higher-fibre foods. Our research programme aims to increase the fibre density, digestive-metabolic quality and acceptability of school breakfast provision. Methods: In Study 1, we examined the in vitro digestion of four novel bread products, to determine the relationship between fibre content and glucose release profile, and assess their suitability for sustaining school activity. In Study 2, we introduced the Prograins breads, alongside higher-fibre breakfast cereals and fresh fruit, to primary school breakfast clubs. Results: The Prograins bread products yielded lower peaks and more sustained glucose release curves than the ‘standard’ white bread control. Many children liked and chose the intervention foods, and the average fibre content of children’s breakfasts increased. Conclusions: We conclude from this study that nutritious, fibre-rich bread products can be acceptable to children and that higher-fibre breakfast provision is feasible, and we recommend larger-scale intervention and assessment to validate these real-world findings. Full article

The growing global population has led to increased food consumption and a significant amount of food waste, including the non-consumed parts of fruits (e.g., stems, rinds, peels, seeds). Despite their nutrient richness, these by-products are often discarded. With the rising interest in nutrient-dense foods for health benefits, fruit by-products have potential as nutritious ingredients. Upcycling, which repurposes waste materials, is one solution. White flour, which is common in food products like bread and pasta, has good functional properties but poor nutritional value. This can be enhanced by blending white flour with fruit by-product flours, creating functional, nutrient-rich mixtures. This review explores using flours from common Brazilian fruit by-products (e.g., jaboticaba, avocado, guava, mango, banana, jackfruit, orange, pineapple, and passion fruit) and their nutritional, physical–chemical properties, quality and safety, and applications. Partially replacing wheat flour with fruit flour improves its nutritional value, increasing the amount of fiber, protein, and carbohydrates present in it. However, higher substitution levels can alter color and flavor, impacting the sensory appeal and acceptability. While studies showed the potential of fruit by-product flours in food formulation, there is limited research on their long-term health impacts. Full article