Search Results (3,057)

Marine bacteria represent a vast and largely untapped resource for biotechnological innovation, offering solutions to global challenges in health, sustainability, and environmental conservation. The ocean’s unique conditions have driven marine bacteria to evolve diverse metabolic capabilities, resulting in the production of bioactive compounds, enzymes, and other metabolites with wide-ranging applications. Recent advances in high-throughput sequencing, metagenomics, and analytical chemistry have unlocked new opportunities for leveraging these microorganisms in fields as varied as medicine, agriculture, and bioremediation. This review highlights the role of marine bacteria in the One Health framework, showcasing their contributions to antimicrobial discovery, nutraceutical development, pathogen biocontrol, and environmental cleanup, including microplastic degradation. This review also examines emerging methodologies such as microbiome mining and advanced culturing techniques, which hold the key to realizing the full potential of marine bacteria in a sustainable bioeconomy. By bridging fundamental research with applied sciences, marine biotechnology promises to deliver transformative impacts on human, animal, and environmental health. Full article

The global energy transition is driving power systems toward lower-carbon electricity generation, requiring sustainability assessments that consider environmental burdens beyond direct carbon emissions. This study evaluates Mexico’s electricity system using life cycle assessment, resource analysis, and energy sustainability indices. The main novelty of this study is the development of four energy sustainability indices derived from EI99H damage results: the Index of Environmental Change per Energy Unit, Relative Environmental Change Index, Per Capita Environmental Impact, and Environmental Intensity Metric. These indices capture temporal environmental change, generation-related variation, population-related burden, and environmental impact per unit of electricity. Results show improvements in fuel oil, water, and biomass performance between 2013 and 2023, whereas natural gas and coal impacts increased. Mexico exhibits a lower per capita environmental burden than Germany and Spain, while France shows the lowest value, largely due to its nuclear-based electricity mix. Human Health damage is 55% higher than Ecosystem Quality, mainly due to fossil fuel combustion. Hydroelectric generation shows substantial water demand, while solar and wind have negligible requirements. Rising natural gas costs constrain competitiveness, whereas renewables maintain low operating costs. Full article

Chlorpyrifos (CPF) is the most commonly used organophosphorus insecticide in agriculture globally. This has raised concerns due to its persistence, bioaccumulation, neurotoxicity, and environmental and human health effects. Until 2020, CPF was the most commonly used pesticide in European Union (EU) food production. CPF is also used in other parts of the world, though it has been discontinued in the EU, as national pesticide surveillance programs indicate it is found in soil, water, and food. This type of persistence is potentially harmful to farmers, consumers, and animals because CPF is toxic. Markedly, CPF has the potential to change the microbiota composition of soils, i.e., fungal, bacterial, and actinomycete communities, and inhibit the mineralization of nitrogen. The key CPF activity is associated with the inhibition of acetylcholinesterase (AChE), leading to reproductive, neurotoxic, and genotoxic effects. Microbial degradation, especially when applied by means of bacteria, has become one of the promising alternatives to the traditional physicochemical means since it is inexpensive, does not harm the environment and may possibly be fully detoxified. This review summarizes the latest developments in the study of CPF-degrading bacteria, enzyme pathways, microbial diversity, and the evaluation of the environmental impact of microbial remediation. Recent research findings, genomic research developments, and potential applications of CPF-degrading bacteria are addressed. In addition, this study reveals the current knowledge gaps, presents biotechnological challenges, and suggests future directions in the application of field-scale studies, focusing on the application of microbial solutions in sustainable agriculture. Full article

Contaminated soil remediation is of increasing importance due to the environmental and health risks associated with hazardous pollutants. Solidification/stabilization (S/S) is a widely adopted remediation technique; however, its environmental performance is often limited by the high demand for Portland cement. This study evaluates the environmental impacts of a conventional cement-based S/S system and an alternative formulation incorporating ground granulated blast furnace slag (GGBFS), washed fly ash (W-FA), and marble sludge (MS) using a comparative Life Cycle Assessment (LCA). The assessment was performed using SimaPro 9.3, the Ecoinvent v3.9 database, and the ReCiPe 2016 Midpoint (H) method, within a cradle-to-gate system boundary. Particular attention was given to developing a transparent and reproducible life cycle inventory, integrating primary operational data with background datasets for all material and energy flows associated with the remediation process. The results show that replacing a substantial portion of Portland cement with industrial by-products reduces Global Warming Potential by approximately 27%, while smaller reductions of approximately 20% are observed for ozone formation, human health and ozone formation, and terrestrial ecosystems, respectively. Conversely, the Green S/S formulation shows higher impacts across most of the remaining midpoint categories, including ionizing radiation; terrestrial, freshwater, and marine ecotoxicity; human toxicity; eutrophication; resource scarcity and water consumption. These increases reflect upstream elementary flows and processing requirements associated with the alternative binder constituents included within the adopted cradle-to-gate system boundary. Overall, the results demonstrate that the environmental performance of the alternative formulation is characterized by clear category-specific trade-offs rather than a uniform reduction across impact categories. The findings highlight the potential of industrial by-products to reduce cement-related climate impacts while emphasizing the need for a multi-impact life-cycle perspective when evaluating alternative S/S formulations for contaminated soil remediation. Full article

Pharmaceutical pollutants have emerged as a critical class of aquatic micropollutants due to their continuous release, persistence, and potential impacts on ecosystems and human health. Conventional wastewater treatment systems are often insufficient to achieve complete removal, necessitating the development of advanced oxidation processes (AOPs), such as Fenton and Fenton-like systems. These processes rely on the generation of reactive oxygen species (ROS), including hydroxyl radicals (•OH), superoxide species, singlet oxygen, and, in some heterogeneous systems, high-valent iron-oxo intermediates, which collectively enable the degradation of structurally diverse and recalcitrant pharmaceutical compounds. Recent advances have highlighted the pivotal role of nanomaterials as catalysts in enhancing Fenton-based processes. Nanostructured catalysts, including iron-based nanoparticles (NPs), metal oxides, carbon-based materials, and bimetallic composites, offer high surface area, tunable redox properties, and improved electron transfer, leading to enhanced catalytic efficiency and mineralization rates. Importantly, the integration of green synthesis approaches using plant extracts, microorganisms, and biopolymers provides environmentally benign routes for nanomaterial fabrication while introducing functional surface groups that improve catalytic performance. Mechanistically, pharmaceutical degradation in Fenton systems involves complex pathways driven by multiple ROS species, including •OH, superoxide radicals, and singlet oxygen, leading to the formation of intermediate products and eventual mineralization. However, challenges such as NP aggregation, metal leaching, incomplete mineralization, and potential toxicity of intermediates remain critical considerations. This review critically evaluates the occurrence of pharmaceutical pollutants, the fundamentals of Fenton and Fenton-like processes, and the design and application of green-synthesized nanomaterials as efficient catalysts. It further explores degradation mechanisms, operational parameters, and sustainability considerations, highlighting future directions for scalable, environmentally responsible water treatment technologies. Full article

Over the past decade, microplastic pollution has emerged as a subject of considerable interest and extensive research, with implications for human health and ecosystems. This paper briefly summarized the sources of microplastics and their distribution in the soil. It comprehensively addressed the effects of microplastics on the soil–plant system, including the impacts on soil physicochemical properties and plant rhizosphere microbial communities. The effects of microplastics on plant growth, along with their transformation and accumulation within plants, were evaluated. Microplastics can adhere to soil particles and root surfaces and, under certain conditions, may associate with outer root tissues or enter plants through damaged or vulnerable sites. Their presence in the soil–plant system may interfere with water and nutrient uptake, affect photosynthesis, and induce cytotoxic or genotoxic responses. Furthermore, the co-occurrence of microplastics with toxic substances or soil remediation materials may exacerbate the adverse effects on plants and ecosystems. Future research should focus on the development of methods for detecting microplastics in soils and plants and investigate the interactions between microplastics and other environmental factors within the soil–plant system. Further investigation is required regarding the role of microplastics in hyperaccumulating plants, particularly concerning plant-based methods for removing heavy metal pollutants. This study establishes a scientific basis for understanding the effects of microplastics on soil–plant systems. Full article

Astronauts encounter several challenges on spaceflight missions, including space radiation and microgravity. Over the past several decades, studies conducted in the field of space medicine have uncovered broad impacts on human physiology, including the integumentary system, which serves as a protective barrier to environmental factors. Dermatological alterations in astronauts are commonly observed during spaceflight missions. Advancing our understanding of the intracellular mechanisms impacted in skin within the context of microgravity may uncover potential therapies for maintaining and improving skin health. Towards this goal, we utilized PubMed to survey current findings relevant to microgravity effects on cytoskeletal components, intracellular protein trafficking, and signaling cascades in mammalian model systems, in addition to identifying gaps in current knowledge. Concurrently across these studies, we focused on the specific cell culture technologies that were utilized during spaceflight missions and in microgravity simulated conditions. Altogether, we envision that these mechanistic insights will contribute to a better understanding of skin disorders such as atopic dermatitis and psoriasis, for which current treatment regimens are associated with adverse responses. Furthermore, the identified knowledge gaps will unveil new avenues for future spaceflight research to further propel scientific advancements in the field of space medicine. Full article

Triazole fungicides (TFs) are widely used in cereal production due to their potent fungicidal activity and broad-spectrum efficacy. Nonetheless, residues of TFs in food products may pose risks to food safety and human health. Therefore, the development of efficient and environmentally friendly sample preparation methods is paramount for the reliable determination of TFs. Herein, a novel green solvent-based dispersive liquid–liquid microextraction method coupled with high-performance liquid chromatography (DLLME-HPLC) was developed for the determination of TFs in cereal samples. The prepared magnetic deep eutectic solvents (MDESs), composed of nonanoic acid and ferric hydroxide, served as green, magnetically responsive extraction solvents, enabling rapid magnetic separation without centrifugation. Four bio-based solvents (BBSs) were investigated as green dispersive solvents to facilitate the dispersion of MDESs and replace conventional toxic organic dispersants, thereby further enhancing the environmental sustainability of the extraction procedure. Owing to the combined effects of hydrophobic interactions, hydrogen-bonding networks, and magnetic responsiveness, the proposed method achieved efficient extraction and rapid phase separation while minimizing solvent consumption and operational complexity. The greenness of the method was evaluated using multiple green analytical chemistry metrics, confirming its low environmental impact, reduced waste generation, and improved operational safety compared with conventional DLLME procedures. Under optimized conditions, the method was successfully applied to determine TFs in rice, wheat, corn, buckwheat, and oat samples, achieving recoveries ranging from 75.0% to 101.9% and relative standard deviations of 1.6–4.8%. The developed DLLME method provides a rapid, sensitive, and environmentally friendly strategy for cereal pesticide residue analysis and expands the application of MDESs and BBSs in green sample preparation. Full article

Decisions about vector-borne zoonotic disease control often have to be made before the evidence is complete. Human surveillance, entomological observations, animal reservoir or sentinel data, environmental indicators, and modelling outputs may provide warning before human disease patterns are clear. In some settings, early action can prevent harm, yet it can also impose social, economic, ecological, animal-welfare, liberty-related, and trust-related burdens. Technical risk assessment remains necessary, although it may need to be complemented by ethical analysis. In this conceptual manuscript, we propose a seven-step One Health ethical decision-making framework that links integrated evidence and transmission plausibility to precaution, proportionality, equity, One Health trade-offs, legitimacy, feedback, impact evaluation, and adaptation. Its contribution lies not in introducing new ethical principles, but in integrating them into an iterative governance sequence and proposing medical bioethics mediation for persistent value conflict. Illustrative domains include West Nile virus, dengue, Zika, Crimean–Congo haemorrhagic fever, and other mosquito-, tick-, and sand fly-borne zoonotic threats. Full article

The growing problem of air pollution and its direct impact on human health have created an urgent need for reliable, intelligent, and machine learning (ML)-enabled gas-sensing technologies. Among various sensing platforms, metal oxide gas sensors (MO-GSs) have emerged as promising candidates owing to their low cost, high sensitivity, and scalability. However, their practical application is limited by poor selectivity, cross-sensitivity, sensor drift, and high operating temperatures. Recent advances in ML have provided effective strategies to overcome these limitations through data-driven optimization of sensing performance. This review summarizes recent progress in ML-assisted MO-GSs, covering sensor array design, feature engineering, and classification algorithms, including support vector machines (SVMs), random forests (RFs), and deep neural networks (DNNs). In addition, key data-processing techniques such as preprocessing, dimensionality reduction, and hybrid learning approaches are critically discussed. The application of ML-enabled MO-GSs in medical diagnostics, environmental monitoring, industrial safety, and food quality assessment is also reviewed. Despite significant progress, challenges including limited dataset availability, sensor drift, and poor model generalization remain. Future research should focus on developing adaptive, energy-efficient, and IoT-enabled smart sensing systems. The integration of machine learning with metal oxide gas sensors represents a significant step toward intelligent, next-generation, high-performance gas-sensing technologies. Full article

Future climate projections suggest an increase in heat-related mortality and a decrease in cold-related deaths under warming scenarios. Understanding the health impacts of extreme heat, and their implications for healthcare demand is essential for assessing the future burden of climate-related illnesses. In this study, we examined the relationship between extreme heat events and Emergency Department Visits (EDV) for heat-related illnesses (HRIs) across the United States from 2018 to 2025. Using data from the Centers for Disease Control and Prevention (CDC) Heat and Health Tracker and other relevant sources, we analyzed EDV rates standardized to 100,000 population. We aggregated daily into the 10 U.S. Health and Human Services (HHS) Regions. We used 0.5° × 0.5° gridded maximum daily temperature data (aggregated to HHS regions with proportional area weighting) and daily maximum heat index extracted from the CDC data portal (estimated using the US National Weather Service methodology and aggregated to HHS regions using total population weighting) to characterize seasonal patterns and regional variability. The association between peak heat events and EDV time series was explored using log-linear mixed-effects models, which accounted for seasonal trends, climate variables, and their regional variability. Random effects were used to capture regional heterogeneity in predictor-response relationships, accommodating variation in associations across regions. Model performance was evaluated using prediction error metrics and goodness-of-fit assessments. Maximum temperature and heat index were both significant predictors, with the heat index offering a slightly better fit. Associations were largely contemporaneous, with peak correlations at lag zero, underscoring the need for real-time response. EDV increased several days before peak environmental conditions, consistent with early exposure effects. While temperature-EDV relationships varied regionally, heat index associations were more stable. This work underscores the urgent need for regionally adaptive public health strategies in the face of intensifying climate extremes and outlines future directions for research and policy to strengthen health systems’ preparedness in a warming world. Full article

The resistome, defined as the complete set of antibiotic resistance genes (ARGs) present in the microbiota of a given environment, is a critical component for understanding the evolutionary dynamics of antimicrobial resistance (AMR) and its impact on human, animal, and environmental health. This review summarizes current methods and technological advances and offers a forward-looking perspective on resistome research. A systematic literature search was conducted. References on short-read and long-read sequencing, amplicon sequencing, shotgun metagenomics, and multi-omics integration were included, as were bioinformatics tools for the detection, quantification, and annotation of ARGs. The results indicate that next-generation sequencing (NGS) technologies have significantly improved the characterization of ARGs across ecosystems, enabling high-resolution microbial profiling and the discovery of new variants. Furthermore, integrating multi-omics approaches with computational tools improves data accuracy, reduces analysis and reporting times, and facilitates the development of predictive models. However, significant challenges remain, which will be key to strengthening epidemiological surveillance under the One Health approach. Full article

Most of the global population lives and/or works in urban areas with limited access to green spaces. Integrating nature-based solutions (NBS) into indoor environments has emerged as a promising intervention strategy for enhancing indoor environmental quality (IEQ) and promoting human health and well-being. This randomized controlled trial evaluated the impact of introducing indoor plants of Sansevieria trifasciata, Dracaena fragrans, and Chlorophytum comosum, into urban office spaces on workers’ well-being, health, and productivity. The results indicated that reductions in volatile organic compound concentrations were associated with a 20.6% improvement in self-perceived well-being in offices with indoor plants. Notably, a significant decrease in pupil diameter (mean reduction: 0.3 mm) and an increase in pupil constriction amplitude (from 30.8% to 32.1%) were observed in the intervention group, suggesting enhanced parasympathetic activity. Although productivity remained unchanged, satisfaction with IEQ was significantly higher among office workers of the intervention group than among those in the control group (mean scores: 3.4 vs. 3.1). Overall, the findings suggest that indoor plants may represent a practical and scalable NBS associated with greater IEQ satisfaction and physiological responses consistent with a more relaxed state in office environments. Full article

Environmental concerns regarding the ecotoxicological effects of antifouling biocides have led to the development of products targeting biofilm-forming bacteria. However, the potential for sublethal biocide exposure to promote bacterial adaptation and increase the risk of resistance development poses a potential threat to marine ecosystems and human health, yet it remains insufficiently understood. Although this study focuses on conventional antifouling biocides, the findings are intended to inform the future development and evaluation of both conventional and environmentally friendly antifouling technologies by highlighting the importance of assessing resistance induction at sublethal concentrations. In this study, the effects of three representative antifouling biocides on marine bacterial growth and bacterial adhesion were investigated. Sea-Nine 211 (DCOIT), copper sulphate (CuSO₄), and tributyltin oxide (TBTO; included as a historical reference compound due to its environmental persistence) were tested at four concentrations (0.01, 0.1, 1.0, and 10 µg/mL) against six marine biofilm-forming bacteria: Vibrio proteolyticus, V. aestuarianus, V. harveyi, V. natriegens, Shewanella putrefaciens and Pseudoalteromonas elyakovii. The results showed that Sea-Nine 211 exhibited a strong antibacterial effect at 10 µg/mL against all tested species except V. harveyi, whereas at the lowest concentration it promoted bacterial adhesion in V. proteolyticus. In contrast, TBTO and CuSO₄ showed limited antibacterial activity and increased microbial adhesion at the three lowest concentrations tested. These findings demonstrate that antifouling biocides can induce distinct responses depending on the concentration, ranging from growth inhibition to enhanced bacterial adhesion. Given that reducing biocide release has been proposed as a strategy to mitigate environmental impacts, our results highlight two potential challenges: (i) reduced antifouling efficacy at sublethal concentrations and (ii) an increased risk of bacterial adaptation associated with enhanced adhesion. To support future monitoring and resistance risk assessment, we propose a conceptual Resistance Risk Index (RRI) framework that could contribute to the sustainable management of antifouling agents while accounting for local environmental conditions. Full article

Food waste is a global issue with significant environmental, economic, and human health impacts. The largest share of household and retail food waste comes from fresh produce, much of which is still edible at the time of disposal. While previous work has investigated shelf-life extension technologies applied to freshly harvested produce, almost no studies have investigated the efficacy of these treatments when applied to post-retail produce. This study investigated the effect of low-dose UV-C exposure and chitosan coating on the quality, microbial load, and visual acceptance of post-retail strawberries. Strawberries were assigned to low-dose UV-C, chitosan dip, or one of three control conditions (no treatment, water dip, or vinegar dip). Strawberries were analyzed for texture, color, weight, decay percent, yeast and mold counts, and fungal presence via qPCR. Consumer acceptance was determined using an online survey with photographs. Chitosan, but not UV-C, delayed decay by approximately 1 day and lowered yeast and mold counts below limits of detection while having minimal impact on texture and color. Chitosan-treated strawberries were more visually accepted by consumers by Day 1 and Day 2, indicated by higher liking scores and greater association with safety and willingness to eat. UV-C exposure at the low fluence applied did not reduce decay or microbial load during storage. Prolonging the acceptability of post-retail produce provides a meaningful target for reducing household and retail food waste. Full article