Search Results (1,294)

Aflatoxins are widespread hepatotoxic food contaminants, yet age-specific cumulative exposure to multiple aflatoxins and associated health risks remain poorly characterized. This study assessed cumulative dietary exposure to aflatoxin B₁ (AFB₁), B₂, G₁, and G₂, and hepatocellular carcinoma (HCC) risk across five age groups, evaluating the influence of packaging and retail sources on contamination. Contamination data of 1179 food samples and consumption data were integrated to calculate the margin of exposure (MoE) and annual HCC incidence. AFB₁ was most frequently detected and often co-occurred with other aflatoxins; bulk vegetable oils showed the highest total aflatoxin detection rate. Roasted peanuts contributed most to aflatoxin exposure, particularly among children aged 3–6 (MoE 900–1206). Rice, rice products, and coarse grains were primary contributors to aflatoxin-attributable HCC risk (0.008 cases per 100,000 person-years). Overall contamination was significantly higher in bulk products than in pre-packaged foods (p < 0.05) and in samples from farmers’ markets and grocery stores than in other sites (p < 0.05). These findings reveal non-negligible aflatoxin-related health risks for Guangzhou residents, especially young children and frequent consumers of staple grains and nuts. Targeted monitoring of high-risk foods and retail environments and age-specific dietary guidance are recommended to reduce population-level aflatoxin exposure and HCC risk. Full article

Maize (Zea mays L.) is a significant staple food crop in the developing world. Despite its significance, diseases and pests are limiting its supply. Farmers have primarily relied on synthetic chemicals as control measures; however, these chemicals are harmful to humans, animals, and the environment and exacerbate pest recurrence. Medicinal plants have shown promising potential as alternative pest- and disease-controlling agents, offering an economical, sustainable, biodegradable, and cost-effective approach. This review article synthesises phytochemical, ethnobotanical, and experimental data from relevant peer-reviewed papers published across various years to identify medicinal plants. Thirty-one unique plant families have been identified and have been used to control pests and diseases of maize. Some families represented both antifungal and insecticidal applications. Medicinal plants such as Senna obtusifolia, Euphorbia balsamifera, Aristolochia ringens, Allium sativum, Azadirachta indica, Carica papaya, Moringa oleifera, and Ficus exasperata have shown antifungal and insecticidal properties, primarily under laboratory conditions. Most of the evidence is derived from laboratory studies, with only limited validation in real field conditions and with limited evaluation of safety for non-target organisms. Furthermore, this review highlighted the extraction methods, solvents used, plant parts, major active ingredients, and mode of action. Future prospects for integrating ethnobotanical knowledge with contemporary scientific methods to optimise biopesticide production are also discussed, along with the challenges of standardisation, formulation, and commercialisation. Full article

In this study, we systematically investigated the concentration-dependent effects of peptides derived from sour jujube kernel peptide (SJKP) on the multiscale structure, physicochemical properties, in vitro digestibility, and antioxidant activity of a complex formed between pea starch (PS) and SJKP. At an optimal SJKP content of 7.5% (w/w, based on starch dry basis), the slowly digestible starch (SDS) and resistant starch (RS) increased by 23.00% and 49.80%, respectively. X-ray diffraction (XRD) and Fourier-transform infrared spectroscopy (FT–IR) verified the formation of complexes and enhanced the short-range structural order of starch. Thermal analysis showed that the gelatinization enthalpy increased to 11.73 J/g, accompanied by an elevated gelatinization temperature and improved thermal stability. Conversely, at 15% SJKP content, RDS rebounded to 58.3% due to phase separation and structural collapse of the starch matrix. Intermolecular force analysis revealed that hydrogen bonding dominated at SJKP concentrations ≤ 7.5%, while hydrophobic interactions prevailed at concentrations ≥ 10%. SJKP incorporation also endowed the complexes with antioxidant capacity. These findings illustrate that SJKP interacts with pea starch via non-covalent bonds, forming a mixed gel network. Moderate SJKP levels can effectively modulate starch digestibility and functionality via regulating intermolecular interactions and multi-scale structure, offering promising potential for developing low-glycemic index (LGI) functional foods, including baked snacks, nutritional beverages, and diabetic-specific staple foods. Full article

Chilacayote (Cucurbita ficifolia Bouché) is recognized as a rich source of nutrients and bioactive compounds, making it a promising ingredient for fortifying staple foods such as corn tortillas. While fortification can improve nutritional properties, it may also alter sensory characteristics that determine consumer acceptance. Therefore, a rigorous and structurally grounded assessment of these sensory modifications is required. In this study, sensory evaluations were conducted with regular tortilla consumers using Check-All-That-Apply (CATA) questionnaires to examine six attributes (color, smell, texture, taste, mouthfeel, and aftertaste) in tortillas made with nixtamalized dough and commercial flour, both with and without chilacayote powder. Then, a structured framework for dimensionality reduction and sensory profile identification of tortillas is proposed. In this framework, three classical feature extraction methods (Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), and a combination of both (PCA+LDA)) were compared with an evolutionary discriminant approach (Differential Evolutionary Linear Discriminant Analysis for Feature Extraction and Visualization (DE-${\mathrm{LDA}}_{FE}$)). The projection quality of these methods was evaluated using a multi-scale separability index that integrates global, semi-global, and local metrics, and the experiments were conducted considering global and attribute-based analyses. Beyond quantitative discrimination, the optimized projections enabled a geometric interpretation that allows the identification of sensory profiles for the tortilla variants. The proposed methodology bridges evolutionary optimization, structural separability assessment, and interpretable sensory characterization, offering a robust and adaptable strategy for multivariate food analysis and other complex discrimination problems and insights into the sensory impact of chilacayote fortification for the development of nutritionally enhanced tortillas that preserve consumer appeal. Full article

This study investigated the reformulation of traditional Anatolian flatbread (bazlama), a staple food of the Mediterranean diet, into a functional product with enhanced nutritional quality. High-amylose refined (white) flour obtained from high-amylose Svevo (Svevo-HA) wheat and resistant starch produced via repeated autoclaving–cooling cycles were incorporated to increase resistant starch content and antioxidant capacity, reduce the predicted glycemic response, and evaluate the resulting changes in textural attributes. Six bazlama formulations were produced using white flours of normal Svevo, Svevo-HA, and recombined Svevo-HA flour containing resistant starch and gluten, with and without vital gluten supplementation. Color, texture profile, phenolic content, antioxidant capacity (DPPH, ABTS, FRAP), resistant starch content, and in vitro glycemic index (GI) were evaluated. Bazlama samples enriched with resistant starch exhibited significantly higher total antioxidant activity (113.7–174.7 mg Trolox equivalent/100 g dw) and resistant starch (9.1–10.3%) levels, along with reduced GI values (53.8–54 < 55), classifying them as low-GI foods. The results demonstrate that incorporating high-amylose wheat–derived resistant starch can successfully convert bazlama into a functional flatbread with improved health-promoting properties. Full article

Understanding how staple-crop geography aligns with climate resources is important for food-security planning under climate change. Focusing on rice, winter wheat and maize in China from 2001 to 2020, this study constructed 1 km crop-abundance grids from annual 30 m crop-distribution data and integrated weighted centres of gravity (COGs), Standard Deviational Ellipses (SDEs), effective accumulated temperature and a Climate Resource Matching Index (CRMI) to evaluate crop migration, spatial-form change and matching with thermal, pluvial and radiant resource centres. Results show that rice exhibited the strongest northeastward migration, with a cumulative COG path of 448.9 km, but its CRMI declined markedly, indicating that thermal relaxation did not translate into coordinated multi-resource improvement. Winter wheat remained anchored in the Huang-Huai-Hai Plain, with adjustment mainly occurring through internal concentration and persistent moisture constraints. Maize showed expansion before 2015 followed by partial correction, and its CRMI trough in 2015 was robust under alternative weighting schemes. Overall, China’s staple-crop change represents a differentiated spatial reconfiguration rather than a uniform northward shift. Because these metrics are national-scale, the findings should inform crop zoning as broad spatial signals rather than direct local yield responses. Full article

Gene-editing technology provides innovative strategies for coping with crop stress, enhancing resistance to biotic stresses (fungal, bacterial, viral infections) and abiotic stresses (salinity, drought, heavy metals, temperature extremes). The CRISPR/Cas9 system is widely used to knock out susceptibility genes, activate resistance genes, or modulate stress-response genes, yielding many stress-resistant crop varieties. However, off-target effects, chimeric effects, and the complexity of multi-gene synergistic editing limit its application. By optimizing and integrating with other cutting-edge technologies, gene editing is expected to yield highly stress-resistant and high-yielding crop varieties, contributing significantly to sustainable agricultural development and ensuring global food security. Rice, a key staple and model plant, has been extensively studied in gene-editing-based research on stress resistance. The practical potential of gene editing for agricultural improvement has been demonstrated by the effective modification of many genes linked to drought, salinity, temperature extremes, and disease resistance using CRISPR/Cas9 and related technologies. This review discusses gene-editing applications in crop stress research, examining the effects of various stresses on crops and the use of gene editing to develop stress-tolerant varieties. It offers substantial guidance for improving crop stress tolerance through gene editing, creating highly resilient cultivars with greater adaptation to complex, variable environments. Full article

Cadmium (Cd) is a heavy metal pollutant to which most people are exposed daily through their diet because of its presence in nearly all food types, including potatoes, vegetables, cereals, grains, legumes, shellfish, and organ meat. Cd has no physiological role or nutritional value in the body and causes toxicity to multiple tissues and organs via oxidative stress and chronic inflammation; as such, at high prevalence, it is frequently associated with diseases, notably cancer, heart disease, diabetes, osteoporosis, and chronic kidney disease. Using kidneys and bones as critical toxicity targets, current dietary Cd exposure guidelines vary from 0.21 to 0.83 μg/kg b.w./d. There is a widespread concern about these guidelines because they were based on the excretion of β₂-microglobulin (β₂M) at a rate of 300 µg/g of creatinine as an endpoint. Concerningly, rice is a staple food for over 50% of the world’s population; however, the permissible Cd level in this commodity has not been adequately addressed. This narrative review focuses on critiquing existing food standards and exposure guidelines for Cd. It discusses the threshold-based risk assessment that was used to define the no-observed-adverse-effect level (NOAEL) for Cd, when β₂M excretion was used with Cd excretion at a rate of 5.24 µg/g of creatinine being a threshold. The estimated glomerular filtration rate (eGFR) is recommended as an appropriate kidney disease endpoint. The current view around how Cd uses various transport proteins to enter and induce toxicity to its target cells are summarized. The strategies to minimize Cd accumulation and mitigate its nephrotoxicity are highlighted. Full article

Refined wheat staple foods are widely criticized for low dietary fiber and high postprandial glycemic response, making soluble dietary fiber fortification a promising strategy for cereal improvement. This study investigated how resistant dextrin (RD) modulates wheat starch, gluten, dough, and bread quality through multiscale interactions. In wheat starch, 6% RD gave the best overall balance, reducing 14-day retrogradation from 57.2% to 48.6%, delaying gelatinization, and restricting amylose diffusion, with hydrogen bonding identified as a major contributing interaction. In gluten, RD increased water-holding capacity but weakened network integrity, as evidenced by reduced moduli, a shift in thiol–disulfide balance, secondary-structure redistribution (increased β-sheet, decreased α-helix/β-turn), and suppressed glutenin polymerization, yielding a looser microstructure. In dough, SEM and rheological results suggested that moderate RD (4–6%) may form a hydrated, polysaccharide-rich phase that fills structural voids and improves matrix continuity, partially offsetting gluten weakening and enhancing viscoelasticity. Overall, this study establishes a quantitative relationship between RD addition level, multiscale macromolecular interactions in wheat matrices, and the processing performance and quality of bakery products. Full article

Agricultural carbon sequestration is increasingly threatened by heatwaves, yet accurately simulating crop-explicit net ecosystem exchange (NEE) under heat stress remains challenging. In this study, we used a WRF–VPRM–CROP model to simulate the spatiotemporal dynamics of NEE for rice, wheat, and maize in China, quantifying the impacts of the record-breaking 2022 heatwave. Model validation against multi-source observations confirmed its reliability, with correlation coefficients (r) reaching 0.49–0.85 (p < 0.001). Results show that the cumulative summer NEE of the study region reaches 620.32 Tg C, with contributions of 274.94 Tg C from rice and 345.09 Tg C from maize, while wheat contributes 157.83 Tg C during spring. The 2022 heatwave led to substantial reductions in crop NEE, with decreases of 79.70 Tg C for rice, 33.13 Tg C for wheat, and 100.74 Tg C for maize. Total summer NEE decreased by 171.46 Tg C, with an annual reduction of 213.57 Tg C. Spatially, the most pronounced declines in NEE are concentrated in East China and North China, whereas slight increases are observed in western Heilongjiang (maize-growing areas) and parts of eastern coastal wheat-growing regions. At the provincial scale, the most severe yield losses occur in Henan (29.65 Mt) and Shandong (14.50 Mt). This study quantifies the impacts of extreme heatwaves on carbon exchange in China’s major staple crop systems, providing a scientific basis for regional agricultural climate adaptation and disaster risk mitigation. Full article

Agricultural performance is often interpreted through agronomic inputs and technological progress; however, the translation of knowledge into production depends on the structural environments in which food systems operate. This study examined the association between food-security-related publication activity and crop production across global income settings from 2000 to 2025, while testing whether governance, health-system, and financial indicators modify that association. A longitudinal ecological panel was constructed, integrating 61,158 Scopus-indexed peer-reviewed articles on food security and related dimensions of healthy food access and availability with 23 crop production indicators grouped into staple, horticultural, and commodity domains. Income-stratified regression models were followed by hierarchical mixed-effects models and moderator screening. In exploratory stratified models, 67 of 92 income-specific associations reached nominal significance; however, only 5 of those 67 associations (7.5%) remained statistically significant after multilevel modelling and false discovery rate correction. Robust associations were concentrated in selected staple and horticultural outcomes, whereas most commodity indicators lost significance after hierarchical adjustment. Structural moderators related to territorial control, corruption, healthy life expectancy, health researcher density, healthcare access and quality, and official development assistance shifted the conditional slopes linking publication activity to crop output. These findings do not support a uniform linear relationship between publication growth and production volume. Instead, they suggest that the alignment between research ecosystems and agricultural output is structurally conditioned and likely mediated by institutional capacity, health-system resilience, and implementation environments. The ecological design, the use of publication counts as an indirect proxy, and the reliance on production volume rather than yield or efficiency should be considered when interpreting these results. Full article

Plants in agricultural systems rarely face single stressors; instead, they encounter concurrent biotic (pathogen, pests) and abiotic (drought, salinity, heavy metals) stresses that causes severely reduce crop yields and endanger food security. The traditional methods of breeding, genetic engineering, and agrochemicals tend to target individual stresses and still do not suffice in the complex field conditions. Compared to these approaches, nanotechnology offers distinct advantages: nanoparticles (NPs) can be applied as foliar sprays or seed treatments without lengthy breeding cycles or regulatory hurdles associated with genetically modified organisms. However, nanotechnology is not inherently “better” but rather complementary to crop engineering; each approach has specific strengths. Breeding and genetic engineering provide heritable, long-term solutions, while nanotechnology offers immediate, season-specific, and reversible interventions. Cross-tolerance, the phenomenon whereby exposure to one stress enhances tolerance to another, offers a promising alternative. This review critically examines how NPs act as stress-priming agents that induce cross-tolerance by activating overlapping defense networks, including antioxidant systems (SOD, CAT, APX), phytohormonal crosstalk (ABA, SA, JA), osmolyte homeostasis, and stress-responsive gene expression. We synthesize current evidence on NP uptake, translocation, and cellular interactions, and evaluate their dual role in directly suppressing pathogens while simultaneously enhancing plant immune responses and physiological resilience. However, efficacy is highly dose-dependent: low, subtoxic doses prime defense through hermetic ROS signaling, whereas supraoptimal doses cause phytotoxicity. The current challenges in nano-mediated stress alleviation include: (i) a persistent laboratory-to-field translation gap, with field outcomes averaging only 60–70% of greenhouse efficacy; (ii) dose-dependent phytotoxicity; (iii) poor reproducibility across studies; (iv) scalability and formulation stability issues; and (v) insufficient understanding of long-term environmental fate, including soil accumulation, non-target organism effects, and food chain safety. Future research should consider field-validated formulations (e.g., SiNPs, ZnONPs, Fe₃O₄NPs) across major staple crops); integrating nanotechnology with precision agriculture through nanosensors, remote sensing, and artificial intelligence for site-specific, dose-optimized applications;developing smart, biodegradable nanoparticles with stimuli-responsive release; and establishing harmonized regulatory frameworks for nano-agrochemical approval. When deployed responsibly, nanoparticle-induced cross-tolerance represents a sustainable approach to improve crop resistance against multifactorial stress, with significant implications for climate-resilient agriculture and global food security. Full article

Heavy metal contamination of foods remains a persistent global challenge for food safety and public health, driven by industrialization, mining activities, intensive agriculture, and ongoing environmental degradation. This scoping review synthesizes peer-reviewed literature on the occurrence of priority toxic metals—arsenic, cadmium, lead, mercury, and nickel—in food matrices, with emphasis on contamination pathways, analytical detection strategies, and documented human health effects. The reviewed studies reveal widespread accumulation of heavy metals in staple foods, including cereals, vegetables, seafood, and processed products, with concentrations frequently approaching or exceeding international regulatory limits, particularly in regions exposed to strong anthropogenic pressure. Conventional laboratory-based techniques, such as atomic absorption spectrometry and inductively coupled plasma methods, remain the reference standards for quantitative determination and regulatory compliance; however, their application to large-scale or continuous monitoring is often constrained by cost, infrastructure, and operational complexity. Consequently, increasing attention has been directed toward emerging detection approaches, including portable X-Ray fluorescence, Raman/SERS spectroscopy, electrochemical biosensors, electronic tongues, and in situ magnetic measurements, as complementary tools for rapid screening and field-based surveillance. Among these, environmental magnetism and in situ magnetic techniques stand out as non-destructive, low-cost proxies capable of identifying metal-associated particulate contamination linked to food production systems. Chronic dietary exposure to heavy metals is consistently associated with neurotoxicity, nephrotoxicity, carcinogenicity, and oxidative stress, underscoring the need for integrated, multi-tiered monitoring frameworks to support early detection, risk assessment, and prevention. Full article

Background/Objectives: This regional case study evaluated the affordability and serving accuracy of a publicly available one-week DASH meal plan for single-woman households using Supplemental Nutrition Assistance Program (SNAP) benefits in central Kentucky. Methods: For each food item in the one-week plan, total grocery costs and per-serving costs were calculated using January 2025 prices from two national grocery chains commonly patronized in an urban area in central Kentucky. Calculated costs were compared to the average weekly food cost for women aged 20–50 years in a single household based on the Thrifty Food Plan (TFP). Servings for food groups and categories were calculated using MyPlate and American Heart Association guidelines to compare with those reported in the one-week plan. Results: The total grocery cost was $262.17, including staple foods expected to last more than a week. The adjusted per-serving cost of $82.90 was 21.19% higher than the average weekly food cost based on the January 2025 TFP. All food groups and categories except dairy showed differences of at least one serving between our calculations and the one-week plan. Conclusions: Findings from this case study on grocery costs suggest that the one-week plan may pose affordability challenges in this regional context and continued evaluation of whether SNAP benefit allotments based on TFP adequately reflect regional food cost variations may be warranted. Discrepancies in total servings highlight the need to improve the accuracy of publicly available DASH resources and to review these materials for consistency and accuracy. Full article

Africa’s rainfed agricultural systems are highly exposed to climate change, making shifts in temperature and rainfall a major concern for staple-food crop production. Using a MaxENT ecological niche modelling approach with crop occurrence, elevation, soil and climatic predictors, this study assessed current and future suitability for rainfed maize, millet and sorghum under RCP 4.5 and RCP 8.5. The projections show a notable expansion of 11.1–22.0% in areas suitable for maize cultivation, and a decline of 1.6–7.3% in areas suitable for production of millet and sorghum, indicating likelihood for increased food-security risks in regions dependent on drought-tolerant cereals. These differing shifts highlight the need for targeted adaptation measures, including crop diversification and region-specific planning to help sustain crop production under a changing climate. Full article