Saved Queries

by Alex McBratney, Sandra Evangelista, Nicolas Francos, Anilkumar Hunakunti, Ho Jun Jang, Wartini Ng, Thomas O’Donoghue, Julio Cesar Pachón Maldonado, Minhyung Park, Amin Sharififar, Quentin Styc and Yijia Tang

Earth 2026, 7(2), 62; https://doi.org/10.3390/earth7020062 (registering DOI) - 10 Apr 2026

Abstract

The long-term sustainability of Australian agriculture is fundamentally constrained by the capacity, condition, availability, and governance of soil resources. Australian soils are among the oldest and most weathered globally, highly heterogeneous, and often slow or effectively irreversible to recover once degraded. Traditional approaches centred on soil health, while valuable at paddock scale, are insufficient to address national-scale challenges related to spatial variability, data continuity, economic valuation, and policy integration. This paper examines soil security as a policy-relevant framework for supporting more sustainable Australian agriculture. Building on the dimensions of soil security (capacity, condition, capital, connectivity, and codification), we synthesise recent Australian case studies to show how soil security extends beyond soil health to integrate biophysical properties, digital soil infrastructure, socio-economic value, and governance mechanisms. Drawing on recent Australian case studies, this review identifies advances in digital soil mapping, national soil assessments, economic valuation of soil capital, stakeholder connectivity, and emerging policy frameworks, while also identifying persistent gaps in regulation, data standardisation, and institutional coordination. The paper argues that soil security can help operationalise 3-N agriculture—Net-Zero, Nature-Positive, and Nutrient-Balanced systems—by translating sustainability goals into spatially explicit, place-based decisions grounded in soil realities. By explicitly accounting for soil capacity limits, condition trajectories, capital value, information flows, and codified rules, soil security can support more realistic climate mitigation strategies, targeted nature-positive interventions, and durable nutrient security outcomes. We conclude that embedding soil security more explicitly within Australian agricultural research, policy, and governance would strengthen efforts to deliver productive, resilient, and socially legitimate food and fibre systems. Without soil security, sustainability frameworks may remain difficult to operationalise consistently; with soil security, they can be translated more effectively into measurable, place-based, and durable decisions. Full article

(This article belongs to the Topic Global Farmland Protection, Food Security and Land Use Planning)

20 pages, 2708 KB

Open AccessArticle

Enhancing Handball Analytics with Computer Vision and Machine Learning: An Exploratory Experiment

by Mostafa Farahat, Hassan Soubra, Donatien Koulla Moulla and Alain Abran

Future Internet 2026, 18(4), 199; https://doi.org/10.3390/fi18040199 (registering DOI) - 10 Apr 2026

Abstract

Recent advancements in artificial intelligence (AI) have strengthened the interaction between sports and digital technologies. However, unlike widely studied sports such as football and basketball, handball has received limited attention from the scientific community, despite its fast-paced nature and strategic importance. This study focuses on object detection in handball and targets key entities, such as players, referees, goalkeepers, and the ball. A comprehensive dataset was created through a collaborative annotation process, consisting of annotated images extracted from real handball games. The YOLOv8 model was then trained and evaluated on this dataset to assess its effectiveness in entity recognition. The proposed approach achieved an object detection accuracy of 86.8% on a relatively small held-out test set, providing an indicative first benchmark for the application of state-of-the-art machine learning models to handball. To the best of our knowledge, the dataset generated in this study is the first comprehensive collection of annotated handball images, providing a valuable resource for further research. By bridging sports analytics and computer vision, this study contributes to the advancement of performance assessment in handball. These exploratory results suggest potential directions for future real-time systems and practical applications, such as improved understanding of player performance, team dynamics, and strategic decision-making. Full article

(This article belongs to the Special Issue Human-Centered Artificial Intelligence)

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32 pages, 19882 KB

Open AccessArticle

A Grammar-Based Criterion for Learning Sufficiency in Motion Modeling

by Herlindo Hernandez-Ramirez, Jorge-Luis Perez-Ramos, Daniel Canton-Enriquez, Ana Marcela Herrera-Navarro and Hugo Jimenez-Hernandez

Modelling 2026, 7(2), 72; https://doi.org/10.3390/modelling7020072 (registering DOI) - 10 Apr 2026

Abstract

The integration of automated learning and video analysis enables the development of intelligent systems that can operate effectively in uncertain scenarios. These systems can autonomously identify dominant motion dynamics, depending on the theoretical framework used for representation and the learning process used for pattern identification. Current literature offers a state-based approach to describe the key temporal and spatial relationships required to understand motion dynamics. An important aspect of this approach is determining when the number of positively learned rules from a given information source is sufficient to detect dominant motion in automatic surveillance scenarios. This is crucial, as it affects both the variability of movements that monitored subjects can exhibit within the camera’s field of view and the resources needed for effective implementation. This study addresses these gaps through a grammar-based sufficiency criterion, which posits that learning is complete when production rule growth stabilizes, under the assumption of system stationarity. The stability criterion evaluates whether the most probable rules are learned over time, and whenever a high-growth rule is added, it is used to update the criterion. We outline several benefits of having a formal criterion for determining when a symbolic surveillance system has a robust model that explains the observed motion dynamics. Our hypothesis is that a correct model can consistently account for the majority of motion dynamics over time in an automated learning process. The proposed approach is evaluated by modeling motion dynamics in several scenarios using the SEQUITUR algorithm as input and computing the probability of stability along the learning curve, which indicates when the model reaches a steady state of consistent learning. Experimental validation was conducted in real-world scenarios under varying acquisition conditions. The results show that the proposed method achieves robust modeling performance, with accuracy values ranging from 83.56% to 95.92% in dynamic environments. Full article

25 pages, 368 KB

Open AccessArticle

Climate Transition Risk, Bank Risk-Taking, and Financial Stability: Evidence from China’s Commercial Banks

by Yong Chen, Qian Hu and Haiming Song

Economies 2026, 14(4), 130; https://doi.org/10.3390/economies14040130 (registering DOI) - 10 Apr 2026

Abstract

Against the backdrop of an accelerated green transition and increasingly stringent climate policies, climate transition risk has emerged as a significant exogenous shock to the financial system. Using a panel of 57 listed commercial banks in China over the period 2010–2024, this study investigates whether and how climate transition risk shapes bank risk-taking behavior and identifies the mechanisms involved. Empirical evidence shows that rising climate transition risk significantly lowers bank risk-taking, a conclusion that holds consistently under various endogeneity and robustness checks. Second, the evidence suggests that climate transition risk may indirectly reduce bank risk-taking by impairing growth capacity and increasing operational costs per unit. Third, moderating effect analysis reveals that higher levels of digital transformation and the implementation of the Paris Agreement help alleviate the adverse effects of climate transition risk, whereas increased economic policy uncertainty amplifies this effect. Fourth, heterogeneity analysis shows that large banks exhibit greater resilience, while banks with higher carbon-intensive exposure are more sensitive to climate transition risk. Overall, these findings provide empirical evidence and policy implications for enhancing climate-related financial regulation and facilitating the green transformation of the financial system. Full article

20 pages, 11775 KB

Open AccessArticle

Electrochemical Performance of Pt-Modified Mn₃O₄ Electrodes for Chlorine Evolution

by Guan-Ting Pan and Aleksandar N. Nikoloski

Inorganics 2026, 14(4), 106; https://doi.org/10.3390/inorganics14040106 (registering DOI) - 10 Apr 2026

Abstract

Electrochemical chlorine production is of considerable industrial importance in areas such as water treatment, chemical manufacturing, and disinfection. However, conventional precious metal-based dimensionally stable anodes (DSAs), such as RuO₂- and IrO₂-based systems, are limited by high cost and resource constraints, motivating the development of low-cost alternative catalysts. In this study, Mn₃O₄ electrodes with controllable defect characteristics were fabricated by electrochemical deposition under various processing conditions. The effects of defect modulation and surface modification on the structural, electronic, and electrochemical properties of the electrodes were systematically evaluated. X-ray diffraction analysis confirmed that all deposited films retained a stable tetragonal Mn₃O₄ crystal structure, indicating that the deposition parameters primarily influenced defect states rather than the bulk phase. Mott–Schottky measurements revealed that the Mn₃O₄ electrodes exhibited p-type semiconducting behavior, with charge carrier densities on the order of 10¹⁴ cm⁻³, suggesting that oxygen vacancy-related defect states may contribute to the observed electronic properties of the electrodes. To further enhance anodic performance, Pt was introduced onto the Mn₃O₄ surface via sputtering, resulting in significantly improved charge transfer characteristics. Electrochemical measurements demonstrated that the best performing Pt/Mn₃O₄ electrodes delivered a current density exceeding 100 mA cm⁻² at an applied potential of 1.5 V versus Ag/AgCl. More importantly, defect-enriched Pt/Mn₃O₄ electrodes exhibited markedly enhanced chlorine evolution activity, with the chlorine production rate increasing from approximately 14 µmol cm⁻² to 29 µmol cm⁻², corresponding to an enhancement of about 2.07-fold. Faradaic efficiency analysis further showed that sample (g) and sample (n) achieved chlorine evolution efficiencies of 59.2% and 74.6%, respectively, indicating a higher tendency toward chlorine evolution for the Pt-modified electrodes under the tested conditions. These findings suggest that the synergistic combination of defect engineering and surface modification effectively modulates the electronic structure of Mn₃O₄, providing a viable strategy for improving chlorine evolution performance. Full article

(This article belongs to the Section Inorganic Materials)

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19 pages, 3249 KB

Open AccessArticle

Young Human-Derived Microbiota Ameliorates Cognitive Decline and Reproductive Senescence in Aged Mice

by Xiaoying Zhang, Fang Chen, Yinghua Luo, Daotong Li, Junfu Ji, Lingjun Ma, Chen Ma and Xiaosong Hu

Nutrients 2026, 18(8), 1193; https://doi.org/10.3390/nu18081193 (registering DOI) - 10 Apr 2026

Abstract

Background/Objectives: Age-related gut microbiota dysbiosis leads to systemic oxidative stress, chronic inflammation, and multi-organ functional decline. However, there is limited evidence supporting microbiota-based therapies for aging. This study aimed to examine the effect of gut microbiota from young donors, particularly those with increasing Bifidobacteria levels through dietary intervention, on age-related declines in fertility, cognition, and reproduction. Methods: We conducted experiments using gut microbiota from young human donors, with or without pre-conditioning with barley leaves (BL), to transplant into aged male mice. Hippocampal metabolome and behavioral assessments were used to identify differences in recognitive regulation during aging. Moreover, testis tissue, semen quality, and offspring studies were determined to investigate the beneficial effects on fertility and underlying mechanism. Conclusions: This preliminary dietary treatment promotes the growth of Bifidobacterium in aged recipient mice. Aged male mice received young fecal microbiota transplants (yFMTs), BL-conditioned yFMTs (BLyFMTs), and a combined treatment of BLyFMT plus recipient BL supplementation. The combined approach significantly increased intestinal Bifidobacterium levels and effectively restored hippocampal metabolomic profiles and cognitive behavior. Additionally, yFMT-based treatments mitigated structural damage to the seminiferous tubules and prevented the germ cell depletion. Consistently, those interventions improved sperm quality and mechanistically enhanced hypothalamic–pituitary–gonadal (HPG) axis activity in aged recipients. These findings highlight Bifidobacterium as a key factor in microbiome-driven rejuvenation, enhancing the effectiveness of yFMTs in addressing aging-related declines. Full article

(This article belongs to the Section Geriatric Nutrition)

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21 pages, 5352 KB

Open AccessArticle

Systematic Comparison of the TGF-β Isoforms in Normal Dermal and Lung Fibroblasts Identifies TGF-β2 and TGF-β3 as Priority Targets in Tissue Fibrosis

by Raveen Badyal, Brandon Kohlen, Kevin J. Keen, James V. Dunne and Tillie-Louise Hackett

Cells 2026, 15(8), 671; https://doi.org/10.3390/cells15080671 (registering DOI) - 10 Apr 2026

Abstract

Systemic sclerosis (SSc) is a multi-organ autoimmune disease characterized by fibrosis of the skin and internal organs. Interstitial lung disease (ILD) is a major complication and leading cause of mortality in SSc. Transforming growth factor-β (TGF-β) has been implicated as a central mediator of fibrosis; however, while TGF-β1 has been extensively studied, the roles of TGF-β2 and TGF-β3 remain incompletely defined. Here, we systematically compared the effects of TGF-β1, TGF-β2, and TGF-β3 in dermal and lung fibroblasts, evaluating extracellular matrix synthesis and contraction, cytokine secretion, proliferation, and myofibroblast differentiation. TGF-β2 and TGF-β3 induced greater profibrotic cytokine release of Interleukin (IL)-6 and IL-11 and increased collagen-I and fibronectin synthesis compared with TGF-β1 in dermal and lung fibroblasts (all p < 0.05). TGF-β2 and TGF-β3 stimulated greater collagen-I contraction in dermal fibroblasts (p < 0.05), but greater myofibroblast differentiation in lung fibroblasts (p < 0.05). The TGF-β isoforms did not affect proliferation. All TGF-β isoforms activated SMAD2/3 signalling; however, TGF-β2 and TGF-β3 reduced expression of TGF-β Receptor II and the inhibitory regulator, SMAD7. In summary, TGF-β2 and TGF-β3 have a more pronounced profibrotic effect than TGF-β1 on dermal and lung fibroblast functions, making them potential targets for treatment for skin and lung fibrosis in diseases such as SSc. Full article

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16 pages, 4359 KB

Open AccessArticle

Diversity and Pathogenicity of Neopestalotiopsis Species Associated with Strawberry Leaf Spot and Fruit Rot in Nova Scotia

by Sajid Rehman and Shawkat Ali

J. Fungi 2026, 12(4), 275; https://doi.org/10.3390/jof12040275 (registering DOI) - 10 Apr 2026

Abstract

We reported the first isolation and characterization of Neopestalotiopsis spp. from symptomatic strawberry plants in Nova Scotia, Canada. Morphological and multilocus sequence analyses confirmed that these isolates were closely related to previously identified aggressive Neopestalotiopsis spp. strains from strawberry and blueberry in the southeastern United States and other countries. Five representative isolates were evaluated for pathogenicity on detached leaves, whole plants, and fruits of multiple strawberry cultivars. The results revealed significant variation in virulence, with isolate NS-1 causing the most severe necrosis across all tissue types. Statistical analysis revealed significant effects of isolate, cultivar, and their interaction on disease severity, indicating differential cultivar responses to the tested isolates. Notably, tissue-specific differences were observed, with some isolates being aggressive on leaves but less virulent on fruit or whole plants, reinforcing the importance of multi-organ phenotyping in resistance screening. Phylogenetic analysis clustered the Nova Scotia isolates within the same clade as Neopestalotiopsis isolate 17–43 L from strawberry and isolates from blueberry, suggesting a potential epidemiological link. The shared nursery propagation system of strawberries and blueberries raises the risk of cross-infection, posing a substantial challenge to disease management strategies in both crops. Collectively, these findings underscore the urgent need for continued surveillance, population-level pathogen analysis, and the development of resistant cultivars to mitigate the spread of this emerging and rapidly evolving pathogen. Full article

(This article belongs to the Section Fungal Pathogenesis and Disease Control)

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24 pages, 2681 KB

Open AccessArticle

The Informational Economy Functional: A Variational Principle for Decoherence and Classical Emergence

by Wan Zheng

Quantum Rep. 2026, 8(2), 32; https://doi.org/10.3390/quantum8020032 (registering DOI) - 10 Apr 2026

Abstract

The emergence of classicality through quantum decoherence is commonly described from complementary perspectives emphasizing stability (environment-induced superselection), objectivity (Quantum Darwinism), or physical feasibility (information thermodynamics). In realistic open quantum systems, however, these aspects coexist and compete under finite physical resources. In this work we argue that classical structure selection is most naturally understood as a resource-constrained, multi-objective process. We introduce the Informational Economy Functional (IEF), an effective accounting framework that places loss of distinguishability, energetic dissipation, and the generation of redundantly accessible records on equal footing. The associated Principle of Informational Economy characterizes emergent classical structures as those achieving an optimal compromise among stability, objectivity, and energetic feasibility. Classicality is thus neither maximally stable, nor maximally redundant, nor maximally energy-efficient, but instead reflects a Pareto-optimal balance shaped by environmental constraints. The IEF yields falsifiable predictions concerning pointer-structure variability, redundancy deformation, and resource-sensitive trade-offs, and suggests concrete experimental tests in continuously monitored quantum platforms. Classical reality is thereby reinterpreted as the most economical configuration in which information can stably form, propagate, and persist. Full article

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10 pages, 820 KB

Open AccessArticle

The Effect of Environment on Ventral Abdominal Temperature in Five Tiger Beetle Species (Coleoptera: Cicindelidae)

by John L. Bowley, Leon G. Higley and Robert K. D. Peterson

Biology 2026, 15(8), 599; https://doi.org/10.3390/biology15080599 (registering DOI) - 10 Apr 2026

Abstract

Recent work demonstrated that Cicindelidia hemorrhagica (LeConte) inhabiting geothermal springs in Yellowstone National Park (YNP) possess morphological traits that reduce internal heat load when exposed to bottom-up thermal stress. To investigate whether this pattern extends to other tiger beetle species occupying diverse environments, we quantified the internal abdominal temperatures of six species differing in habitat preference and putative thermal adaptation. Using a water-bath system that simulated surface heating, we compared the temperature differential (ΔT) between beetle-loaded and bare thermocouples across multiple temperatures. Linear mixed-effects models were used to evaluate the influence of location and species on internal temperature. Across all experimental temperatures, C. hemorrhagica exhibited the greatest ΔT values, indicating the lowest internal temperatures relative to the thermal environment, regardless of whether individuals originated from YNP or non-thermal Idaho habitats. In contrast, the warm-resilient Cicindela repanda (Dejean) and non-warm-adapted C. longilabris (Say) showed the smallest ΔT values and therefore the highest internal temperatures. Ventral abdominal coloration—ranging from bright red (C. sedecimpunctata (Klug)) to dark blue-green (C. oregona (Dejean))—did not correlate with internal temperatures, suggesting that it is a poor predictor of heat absorbance or reflectance under bottom-up heat exposure. These results indicate that C. hemorrhagica is uniquely effective at limiting internal heat gain from surface heating, and that it may possess a preadaptive morphological mechanism facilitating thermal resistance in geothermal habitats. Full article

(This article belongs to the Special Issue Insect Habits, Habitats and Interactions)

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21 pages, 1833 KB

Open AccessArticle

Synergistic Effects of Subsurface Drainage and Root-Zone Oxygenation on Wheat Yield and Ion Homeostasis in Saline Soils with Shallow Groundwater

by Qi Xu, Wenda Du, Changkun Ma and Quanjiu Wang

Plants 2026, 15(8), 1170; https://doi.org/10.3390/plants15081170 (registering DOI) - 10 Apr 2026

Abstract

Shallow groundwater in saline soils creates a self-reinforcing cycle where waterlogging-induced root hypoxia impairs the ATP-dependent sodium exclusion mechanisms that plants rely on for salt tolerance. We conducted a two-year field experiment to test whether subsurface drainage must precede root-zone aeration for oxygen delivery to be effective. The experimental site was located in Heyang County, Weinan City, on the Guanzhong Plain of Shaanxi Province, north-central China—a major alluvial agricultural region representative of shallow-groundwater-induced salinization. The site had saturated paste electrical conductivity of 6.0 dS m⁻¹ and groundwater depth fluctuating between 0.5 and 1.4 m. A randomized complete block design with 2 × 2 factorial arrangement compared four treatments: control (CK), subsurface drainage only (SD), root-zone aeration only (RA), and both interventions combined (SD + RA). Drainage increased air-filled porosity from 5.8% to 13.5%, crossing the 10.2% threshold (95% CI: 9.1–11.3%) where gas-phase continuity emerges according to segmented regression analysis. Without drainage, aeration achieved only 4.2 mg L⁻¹ dissolved oxygen with high spatial variability (CV 12.5%), while the combined treatment reached 6.8 mg L⁻¹ (CV 6.8%). Root ATP content increased by 89% in SD + RA compared to control, accompanied by 56% lower root Na⁺ and 185% higher K⁺/Na⁺ ratio. These physiological changes correlated with 31% higher grain yield (7580 vs. 5798 kg ha⁻¹). The synergy index of 1.40 (95% CI: 1.28–1.52) indicated that combined effects exceeded the sum of individual treatments by 40%. Methane emissions declined by 62%, and the system achieved a 2.9-year payback period with a benefit–cost ratio of 4.08. These results establish drainage as a physical prerequisite for effective oxygenation, providing a mechanistic explanation for the variable performance of aeration systems reported in previous studies. Full article

(This article belongs to the Topic Abiotic Stress Responses in Wheat: Perspectives on Productivity and Sustainability)

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15 pages, 854 KB

Open AccessArticle

Sensor Placement for Contamination Detection in Urban Water Distribution System Based on Multidimensional Resilience

by Albira Acharya, Amrit Babu Ghimire, Binod Ale Magar and Sangmin Shin

Systems 2026, 14(4), 422; https://doi.org/10.3390/systems14040422 (registering DOI) - 10 Apr 2026

Abstract

Urban water distribution systems (WDSs) face increasing threats from accidental or intentional contaminant intrusion events. While contamination warning systems using water quality sensors enable early detection and rapid response to contamination events, traditional sensor placement approaches often rely on a single or limited performance metric, overlooking the multidimensional nature of system resilience. This study presents a multidimensional resilience-based framework for the optimal placement of water quality sensors in urban WDSs, integrating hydraulic and water quality simulations using the EPANET-MATLAB toolkit with a genetic algorithm (GA) optimization process. For Anytown Water Distribution Network, four distinct functionalities were formulated to capture different aspects of system performance during contamination events, and an integrated-multidimensional resilience metric was proposed as a collective measure. Results demonstrated that the optimal sensor configurations varied significantly depending on the selected functionality. However, the integrated multidimensional resilience-based approach yielded more balanced and effective sensor placements, simultaneously enhancing resilience levels for all individual functionalities. Furthermore, the findings indicated that adding more sensors beyond a certain number offers marginal improvements in system resilience, suggesting that sensor deployment should be guided by monitoring objectives (e.g., resilience) rather than simply increasing sensor numbers. The findings and discussion suggest practical insights for utilities to enhance water supply services with safe quality and system security against contamination threats in urban WDSs. Full article

(This article belongs to the Special Issue Management of Water Supply Systems Resilience and Reliability)

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19 pages, 38033 KB

Open AccessArticle

pH-Responsive Cinnamaldehyde–Arginine Nanoprodrug for Targeted Rheumatoid Arthritis Therapy via Antioxidant Activity and Macrophage Reprogramming

by Lihong Huang, Wenlong Zhang, Shuai Qiu, Dazhi Yang, Qingyun Tang, Jiajun Huang, Lei Liu, Yang Kang and Shuo Tang

Antioxidants 2026, 15(4), 469; https://doi.org/10.3390/antiox15040469 (registering DOI) - 10 Apr 2026

Abstract

Conventional therapies for rheumatoid arthritis (RA) are limited by poor selectivity, insufficient modulation of the oxidative inflammatory microenvironment, and systemic side effects. Oxidative stress and macrophage-driven immune dysregulation represent critical therapeutic targets. Cinnamaldehyde (CA) and arginine (Arg) possess antioxidant, anti-inflammatory, and anti-osteoclastogenic activities, but their poor solubility, instability, and lack of targeting restrict clinical application. Here, we report a pH-responsive cinnamaldehyde–arginine nanoprodrug (Arg-CA NPs), synthesized via Schiff base reaction, that spontaneously self-assembles into uniform nanoparticles capable of acid-triggered dual-drug release. Arg-CA NPs enhanced the solubility and stability of CA, exhibited excellent dispersibility and circulatory stability, and demonstrated intrinsic antioxidant and anti-inflammatory properties. Mechanistically, Arg-CA NPs attenuated intracellular ROS accumulation, preserved mitochondrial function, and reprogrammed macrophages toward an anti-inflammatory M2 phenotype by suppressing hypoxia-inducible factor-1α (HIF-1α), cyclooxygenase-2 (COX-2), and nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) signaling. In an adjuvant-induced arthritis (AIA) rat model, Arg-CA NPs selectively accumulated in inflamed joints and significantly alleviated joint swelling, synovial inflammation, cartilage erosion, and bone destruction. These findings identify Arg-CA NPs as a promising redox-active nanoplatform for RA therapy by targeting oxidative stress and immune dysregulation. Full article

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43 pages, 4300 KB

Open AccessReview

Natural Antimicrobials from Plants Used as Food Preservatives

by Antia G. Pereira, Ana Perez-Vazquez, Paula Barciela, Ana O. S. Jorge, Ezgi Nur Yuksek and Miguel A. Prieto

Foods 2026, 15(8), 1309; https://doi.org/10.3390/foods15081309 (registering DOI) - 10 Apr 2026

Abstract

Plant-derived antimicrobial compounds are emerging as promising alternatives to synthetic preservatives in the food industry due to their efficacy against a broad spectrum of pathogenic and spoilage microorganisms, as well as their consumer acceptance. This review critically examines the main classes of bioactive phytochemicals, including essential oils, polyphenols, alkaloids, terpenoids, and saponins, comparing their relative antimicrobial effectiveness and highlighting representative examples. Notably, essential oils rich in thymol or carvacrol have shown strong inhibitory activity against Listeria monocytogenes and Salmonella spp., while polyphenols and alkaloids exhibit moderate to strong activity depending on concentration and food matrix. Their mechanisms of action include cell membrane disruption, inhibition of key enzymes, and interference with DNA or protein synthesis. Applications in food systems (i.e., incorporation into coatings, emulsions, or controlled-release formulations) demonstrate potential for extending shelf life and enhancing safety. However, practical implementation is challenged by matrix-dependent efficacy, compound stability, sensory impact, and regulatory and toxicological considerations. By synthesizing current knowledge, identifying the most promising compound classes, and highlighting key limitations, this review provides a critical framework to guide future research and the development of effective, sustainable natural preservatives in the food industry. Full article

(This article belongs to the Special Issue Improving Food Quality and Safety: An Exploration of Natural Antimicrobials)

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