Search Results (5,028)

Per- and polyfluoroalkyl substances (PFASs) are persistent emerging contaminants characterized by high environmental stability and biotoxicity. Ubiquitous detection of these contaminants across aquatic environments poses severe threats to ecosystem stability and human health, while constructed wetlands (CWs) serve as a sustainable low-carbon alternative for the remediation of PFAS-laden wastewater. However, traditional mechanisms such as matrix adsorption, phytoaccumulation, and microbial transformation often suffer from low efficiency, rapid saturation, and incomplete degradation. To overcome the above drawbacks, the arbuscular mycorrhizal fungi (AMF)–plant–microbe synergistic consortium has become a promising remediation candidate, which facilitates PFAS immobilization and biodegradation via symbiotic crosstalk among three components. This paper reviews recent advancements in PFAS remediation within AMF-facilitated systems, examining fundamental synergistic mechanisms, treatment efficiencies, and key influencing factors. We propose several optimization strategies, including substrate modification, operational parameter refinement, and the integration of advanced technologies. Furthermore, we emphasize the necessity of elucidating the molecular pathways governing long-chain PFAS degradation and addressing current bottlenecks in engineering applications. Future research should prioritize molecular interaction level interaction mechanisms, the development of anti-interference systems, and field-scale validation. This review provides a theoretical foundation and technical framework for leveraging AMF–plant–microbe synergism to enhance PFAS removal in CWs. Full article

Background: Uridine diphosphate glucose (UDP-Glc) is one of the key substrates for the biosynthesis of gallotannins in plants. UDP-glucose dehydrogenase (UGD) catalyzes the irreversible oxidation of UDP-Glc to UDP-glucuronic acid (UDP-GlcA), thus affecting the biosynthesis and accumulation of gallotannins in the Chinese gallnut. Methods and Results: In this study, we identified three members of the RcUGD family from the Rhus chinensis genome. Protein sequence alignment revealed that all three RcUGDs possess the conserved NAD⁺ coenzyme binding motif GAGYVGG and the catalytic motif GFGGSCFQKDIL. qRT-PCR analysis revealed that the expression levels of RcUGD3 in stem and root tissues were respectively 10-fold and 13-fold greater than that in the leaves, in which gallotannin accumulation was higher. RcUGD3 expression level declined by 63% during early (24 d) gallnut development, suggesting an inverse relationship between RcUGD3 expression level and gallotannin biosynthesis. In addition, subcellular localization analysis using the tobacco transient transformation system showed that RcUGD proteins are broadly distributed throughout the cell. Moreover, an in vitro enzyme activity assay indicated that the recombinant RcUGD3 protein catalyzed UDP-Glc to produce UDP-GlcA as shown by HPLC. Taken together, our results suggested that RcUGD3 protein is responsible for UDP-Glc degradation and probably plays a regulatory role in gallotannin biosynthesis in the Chinese gallnut. Conclusions: This study lays a foundation for further elucidating the function and expression regulation mechanism of the RcUGD gene family and provides new insights for the super-accumulation mechanisms of gallotannins in Chinese gallnuts. Full article

Large-scale drinking water treatment plants contribute to environmental burdens through energy consumption, chemical use, and sludge generation. However, Life Cycle Assessment applications to full-scale drinking water treatment plants remain limited in Morocco and other Global South contexts, where site-specific operational data are often scarce. This study assesses the environmental performance of an existing conventional drinking water treatment plant in Al-Hoceima, northern Morocco, using full-scale operational data and a Life Cycle Assessment (LCA) approach based on the ISO 14040/14044 framework. The assessment was performed using OpenLCA v1.11 and the ReCiPe 2016 Midpoint (H) method, with a functional unit of 1 m³ of treated drinking water. The results show that the operational phase dominates the environmental impacts, mainly due to sludge generation and electricity consumption. Two improvement scenarios were therefore evaluated: sludge recycling and the integration of a hydroelectric turbine as an on-site renewable energy option. Both scenarios showed potential to reduce environmental impacts while improving resource efficiency and long-term economic performance. By integrating environmental and techno-economic analyses, this study provides a practical decision-support framework for the sustainable transformation of conventional drinking water treatment plants in Morocco and comparable developing regions. Full article

Lupinus angustifolius is an important ornamental plant; however, its poor tolerance to alkaline soils limits its cultivation and production. Based on the alkaline-tolerance-related Gshdz4-GsNAC019-GsEXPA8 regulatory module previously screened and identified in soybean, we used Agrobacterium rhizogenes-mediated transformation to overexpress in lupine roots the combinations Gshdz4-GsNAC019-GsEXPA8 (HNE), Gshdz4-GsNAC019 (HN), and GsNAC019-GsEXPA8 (NE) to investigate their effects on root development and alkaline tolerance. RT-PCR confirmed the successful generation of all overexpression lines. Under 100 mM NaHCO₃ stress, all overexpression lines exhibited less wilting and longer survival than the wild type (WT), with the HNE line showing the best phenotype. Physiological measurements showed that the overexpression lines had significantly higher proline content, antioxidant enzyme (SOD, CAT, POD) activities, and root activity, as well as lower malondialdehyde content. DAB and NBT staining of leaves indicated reduced accumulation of O₂⁻ and H₂O₂, suggesting enhanced antioxidant capacity. Root architecture analysis revealed that root length, surface area, volume, tip number, and fork number were significantly increased in HNE, HN, and NE lines compared with WT, with the most pronounced effect observed in HNE. Bioinformatics analysis and qPCR confirmed that Gshdz4 binds to and activates the promoter of the endogenous LaNAC072 (the lupine homolog of GsNAC019), while GsNAC019 binds to and activates the promoter of the endogenous LaEXPA8 (the lupine homolog of GsEXPA8), thereby triggering the endogenous alkaline tolerance regulatory mechanism. Furthermore, the overexpression combinations significantly upregulated the expression of alkaline stress-responsive genes, including LaSOS1, LaNHX6, LaP5CS, LaMYB39, and LaDnaJ1. This study provides theoretical support for molecular breeding of alkaline-tolerant lupine. Full article

Potato starch (Solanum spp.) undergoes structural and functional modifications during traditional Andean chuño production; however, the integrated effects of processing history, cultivar-associated characteristics, and field-based environmental conditions remain insufficiently characterised. This study investigated the effects of chuño processing on the compositional, pasting, morphological, molecular, and crystalline properties of starches isolated from three potato cultivars (Condor Imilla, Luk’i Turno, and Dutch Désirée). Native and chuño starches were characterised by amylose quantification, viscoamylography, scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FT-IR), and X-ray diffraction (XRD), together with severe thermal treatment to evaluate structural stability. Chuño processing was associated with a reduction in amylose content across all cultivars (6.9–23.4%) and an increase in gelatinisation onset temperature of approximately 21.5% (from ~65 °C to ~79 °C). Peak viscosity decreased substantially after processing (457.5–1110 BU to 194.5–442.5 BU), while breakdown values remained close to zero, indicating increased resistance to viscosity loss during heating. SEM analysis revealed changes in granule morphology and size distribution associated with chuño processing and subsequent thermal treatment, with more pronounced reductions in granule size observed in Condor Imilla and Luk’i Turno than in Dutch Désirée. FT-IR analysis demonstrated modifications in short-range molecular organisation without the appearance of new functional groups, indicating structural reorganisation rather than chemical transformation. XRD analysis confirmed that all starches retained the native B-type crystalline polymorph after chuño processing, although reductions in diffraction intensity and peak definition indicated decreased long-range structural order. Severe thermal treatment eliminated detectable crystalline order in all samples, producing predominantly amorphous diffraction profiles. Overall, chuño processing was associated with reduced swelling capacity, lower paste viscosity, enhanced thermal stability, and multiscale structural reorganisation while preserving the fundamental B-type polymorph. Given that the plant material originated from distinct agroecological environments and that traditional chuño production involved a variable number of processing cycles, the observed differences should be interpreted as integrated responses of starch systems to processing history and material characteristics rather than strictly genotype-driven effects. These findings highlight the potential of chuño as a naturally modified starch system with distinctive technological properties. Full article

This study characterized 58 Phaseolus spp. accessions conserved in the INIA–Amazonas Germplasm Bank (Peru) using an integrated agromorphological, physicochemical, and microstructural approach. Significant variability was observed among vegetative, reproductive, and seed-related traits, reflecting the broad phenotypic diversity of Andean germplasm. Cluster analysis identified groups with contrasting agronomic characteristics, particularly regarding plant height, number of pods per plant, and seed weight. Physicochemical analyses revealed significant differences in colorimetric parameters, phenolic content, and antioxidant activity among accessions. Darker-seeded accessions generally exhibited higher phenolic contents and greater antioxidant capacity. In addition, Fourier-transform infrared (FTIR) spectroscopy, rheological analysis, and scanning electron microscopy (SEM) revealed differences in molecular composition, starch functionality, and granule morphology among accessions. Overall, the evaluated germplasm exhibited substantial phenotypic and biochemical diversity, underscoring its potential value for breeding programs and food-related applications. These findings contribute to the conservation, sustainable utilization, and valorization of native bean genetic resources. Full article

Phytoremediation is a sustainable approach for the remediation of heavy metal–contaminated soils; however, the management of contaminated biomass generated during this process remains an insufficiently addressed challenge. Such biomass constitutes a secondary waste stream that may release mobile pollutants and pose environmental risks. In this study, an integrated ecotoxicological assessment framework was applied to evaluate phytoremediation-derived biomass and its transformation products obtained via pyrolysis. Two types of woody biomass with different heavy metal contents and their corresponding biochars produced at 700 °C were investigated. A multitrophic battery of bioassays combining direct exposure assays using terrestrial organisms (higher plants, Eisenia fetida, and soil microbial activity) with leachate-based assays using aquatic organisms (Lemna minor, Daphnia magna, and Aliivibrio fischeri) was applied. Untreated biomass exhibited high to extreme toxicity in aquatic systems (toxic units, TU >100) and significant phytotoxic effects. Pyrolysis substantially reduced contaminant mobility and ecotoxicity of leachates, resulting in lower toxicity (TU typically <15) and no significant effects on plant growth, earthworm survival, or soil microbial functional diversity. Residual toxicity was linked to elevated pH and trace amounts of thermally generated organic substances. These results demonstrate that pyrolysis effectively reduces the environmental risk of contaminated biomass and supports the use of multitrophic ecotoxicological testing for safe waste valorization within circular economy strategies. Full article

Plant diseases result in the estimated loss of 20–40% of the world’s crop production annually, amounting to more than $220 billion in economic losses and threatening food security for a rapidly expanding world population. While the conventional methods for detecting plant diseases rely on visual inspection of the symptoms, they are resource-consuming. For effective plant disease detection at a pre-mature stage, hyperspectral imaging (HSI) represents a paradigm shift in technology. It can be used to obtain subtle spectral signatures outside the visible spectrum, which enables pre-symptomatic and highly specific plant disease diagnosis. Concurrently, deep learning (DL) has become the prevalent analytical paradigm for decoding the complex and high-dimensional data that HSI produces. This paper covers a comprehensive narrative review of the intersection of these two transformative technologies from 2008 to 2026. We first set out the biological and physical principles by which HSI is uniquely suited to detecting plant–pathogen interactions in the absence of visible symptoms. We then present a detailed taxonomy of deep learning architectures for Vision Imaging and HSI data, ranging from basic 1D and 3D convolutional neural networks (CNNs) to hybrid models with attention mechanisms and, most recently, vision transformers, which have achieved greater robustness to real-world conditions. There is currently a major and consistent “lab-to-field” performance gap. A critical analysis of various studies reveals a persistent and significant performance gap between models that perform well on controlled lab datasets (ranging from 95 to 99%) and field-collected data (typically 70–85%). This paper also addresses the practical gap of environmental variability, image noise, and the domain gap between the controlled environment and the real dataset. Finally, this review concludes by providing strategic research recommendations and a roadmap, highlighting that the future of the field is contingent upon not only architectural innovation but also a holistic approach, with robustness, scalability, affordability, and interpretability as the main focus to bring the proven potential of HSI-DL systems from the lab to the field, ultimately contributing to global food security. Full article

While rapid digital transformation has significantly optimized sectors such as finance and e-commerce, maintenance management in industrial environments has historically received lower levels of technological and capital investment. This lag creates critical gaps in operational efficiency and asset longevity, particularly within renewable energy infrastructures where sustainability and resilience are paramount. Addressing this technological disparity is essential for minimizing ecological footprints and maximizing the viability of net-zero systems. This paper introduces an advanced multi-platform digital solution designed to optimize the operation and maintenance of renewable energy systems and smart infrastructures. The platform addresses traditional management gaps by implementing standardized protocols that integrate real-time remote monitoring, sensor networks, and cloud-based data acquisition. By centralizing historical and real-time data from solar, wind, and hybrid grids, it facilitates advanced analytics, such as predictive modeling of component degradation. Real-world validation across photovoltaic plants and wind farms demonstrates significant impacts: a 30% reduction in unplanned outages and a 20% to 25% decrease in operational and maintenance costs. The results confirm that digitalizing maintenance processes is a strategic pillar for the energy transition, aligning industrial performance with global low-carbon pathways. Full article

Red raspberry fruit is highly perishable, and raspberry plants are sensitive to drought and low-temperature stress because of their shallow root system, which limits production and postharvest utilization in cold regions. In this study, RiACO1 was cloned from red raspberry (‘Polka’) and analyzed by bioinformatics, subcellular localization, tissue-specific expression, heterologous overexpression in Arabidopsis thaliana, and transient overexpression in white-stage raspberry fruit. The full-length RiACO1 coding sequence was 963 bp and encoded a 320-amino-acid protein that localized to the cytoplasm and nucleus. RiACO1-overexpressing Arabidopsis lines showed higher survival rates under drought and low-temperature stress, accompanied by increased proline content, chlorophyll retention, and antioxidant enzyme activities, as well as reduced Malondialdehyde (MDA) and Reactive Oxygen Species (ROS) accumulation. In raspberry fruit, transient RiACO1 overexpression increased RiACO1 transcript levels, ACO activity, and ethylene production and was associated with accelerated softening, anthocyanin accumulation, and chlorophyll degradation. These results indicate that RiACO1 is involved in ethylene-associated fruit ripening and may contribute to abiotic-stress responses; however, its direct breeding value in raspberry requires further validation through stable raspberry transformation or targeted loss-of-function approaches. Full article

Field-cultivated roots of Panax quinquefolium represent the natural source of biologically active compounds, e.g., ginsenosides, while transformed roots provide a controlled alternative for their production. Ginsenoside levels from both the sources were determined with the use of the HPLC method. The extracts were tested for antimicrobial activity using the MIC and MBC/MFC methods, as well as for cytotoxic activity on the AGS (gastric cancer) cell line, Hs68 (human fibroblasts), and L929 (mouse fibroblasts) lines using the MTT assay. Additionally, the lack of pro-inflammatory activity of the plant materials was assessed using a monocyte activation test. The tested P. quinquefolium roots differed quantitatively and qualitatively in their ginsenoside profiles, and the highest amount was recorded in the transformed roots (204.62 ± 5.56 mg/g extract ± SE). The extracts exhibited the strongest antimicrobial activity against the Escherichia coli strain. Low activity of the tested extracts was observed against Candida species. In the tested cell lines (AGS, Hs68, L929), a dose-dependent decrease in cell viability was observed, with the field root extract exhibiting the highest cytotoxic activity in the concentration range of 2.5–10 mg/mL. All tested extracts proved to be safe and did not stimulate a pro-inflammatory response. Full article

The role of mangrove root exudates in mediating the nitrogen cycle, particularly under high dissolved inorganic nitrogen (DIN) input, in coastal ecosystems remains unclear. This research investigated variation in the root exudates, and nitrogen transformation and output, in constructed mangrove wetlands planted with Kandelia obovata under high, moderate, and low nitrogen-input levels (PCWs-H, PCWs-M, and PCWs-L, respectively). PCWs-H promoted increased root density and biomass accumulation, enhancing soil nitrogen sequestration, whereas PCWs-L induced greater specific root length, specific root surface area, and number of root tips. These changes directly influenced denitrification efficiency. Hydroxymethoxyphenylcarboxylic acid-O-sulfate and Arg-Ser released in root exudates under PCWs-H might act as potential denitrification inhibitors, thereby suppressing denitrifiers and impairing dissolved nitrogen purification. Elevated nitrogen loading predominantly limited denitrification, resulting in relative NO₃⁻-N removal rates of PCWs-H < PCWs-M < PCWs-L (p < 0.05). Compared with PCWs-H and PCWs-L, the enhanced soil organic nitrogen storage under PCWs-M was associated with flavonoids in root exudates. Metagenomic analysis showed that denitrification was the dominant nitrogen removal pathway. Nitrogen loading influenced the effects of root exudates on the microbial community. Under PCWs-H, triterpenoids promoted norBC and nirK/S abundance but depressed amoABC abundance. Sterols and flavonoids in exudates under PCWs-L depressed nosZ abundance, instead activating dissimilatory nitrate reduction to ammonium. Compared with PCWs-H and PCWs-L, N₂O emissions were minimal under PCWs-M. This study revealed that mangrove root exudates mediate the nitrogen cycle in mangrove wetlands, providing a theoretical basis for local authorities to manage DIN inputs and mitigate N₂O emissions. Full article

The flooded rice rhizosphere is a continuous reactive interface composed of sediment, porewater, root-surface oxic microdomains, and iron plaque, where redox processes and Fe cycling regulate Cd/As speciation, bioavailability, and plant accumulation. Engineered nanomaterials (ENMs) have shown potential for reducing Cd/As uptake in rice, but the coupled roles of microbial community responses, iron-plaque gating, and cross-interface elemental migration remain insufficiently integrated. This review synthesizes the current evidence on ENM transformation and partitioning at flooded rhizosphere microinterfaces, focusing on front-end speciation changes, root-surface retention, microbial functional regulation, and plant sequestration or transport. Correlative evidence suggests that rhizosphere microorganisms are associated with altered redox conditions, Fe cycling, As methylation potential, and metabolite secretion, which may influence Cd/As partitioning and cross-interface migration. However, direct causal validation of the complete ENM transformation–microbial response–Fe cycling–Cd/As flux–grain accumulation sequence within a single integrated system remains lacking. We further discuss how elevated CO₂, micro-/nanoplastics, Fe/DOM dynamics, and water management regimes may modify this framework, and we identify Sb as a theoretical boundary case because direct ENM–rice evidence remains limited. Finally, we highlight the need to integrate spatial tracing and imaging methods, including persistent luminescence tracing, LA-ICP-MS, NanoSIMS, and µ-XRF/µ-XANES, with metaomics to connect particle localization, microbial function, and contaminant fate. Full article

Genetically modified (GM) plants have revolutionized agriculture for more than three decades. The production of a GM plants is a complex, multi-stage process. Several key methods are available for generating GM plants. The choice of transformation method depends on the type of plant (dicotyledonous or monocotyledonous), the objective (large-scale production versus studying a specific gene in particular cells or tissues), and whether stable or transient transformation is desired. Following successful transformation, the next step is the regeneration of a whole plant from a single cell in tissue culture, which is a labor-intensive and time-consuming process. Currently, numerous genes that confer desirable traits have been identified. These traits include stress tolerance, herbicide and pest resistance, and improved consumer qualities (such as flavor, appearance, shelf life, and nutritional value). In this review, we describe the main methods for producing GM plants and provide examples of trait genes utilized in agricultural biotechnology. Despite the fact that GM plants represent one of the most significant biotechnological advances, they also remain among the most contentious issues in contemporary food safety and agricultural policy. Here, we discuss the advantages and disadvantages of using GM plants for humans. Full article

Plant-derived bioactive compounds, such as polyphenols and saponins, possess significant pharmacological value. However, conventional extraction methods often suffer from low efficiency, poor bioavailability, and environmental burdens. Aspergillus-based biotransformation has emerged as a superior platform for overcoming these limitations due to their robust secretomes, versatile metabolic networks, and the GRAS (Generally Recognized as Safe) status of specific industrially relevant species (e.g., A. oryzae and A. niger). Existing literature frequently focuses on isolated compounds or general fungal processes. To fill this gap, this review systematically links specific Aspergillus enzymatic systems to an “enzymatic hydrolysis–transformation–synthesis” closed-loop framework, which is essential for industrial-scale valorization. In this review, we summarize recent advances in the biotransformation of phytochemicals by A. niger, A. oryzae, and A. nidulans. These fungi utilize specialized enzymes—including β-glucosidases, cellulases, and glycosidases—to enable precise hydrolysis, deglycosylation, and detoxification under mild conditions. We highlight representative transformations that demonstrate markedly enhanced bioactivity and solubility. Key examples include the conversion of polydatin to resveratrol (>90% yield) and ginsenoside Rb1 to ginsenoside compound K (94.4% conversion rate). Although industrial applications span the food, pharmaceutical, and cosmetic sectors, significant challenges persist in solid-state fermentation (SSF) scale-up, strain stability, target compound over-degradation, and downstream purification. Genetic engineering, process optimization and hybrid bioprocessing are highlighted as promising strategies to overcome these limitations and realize sustainable, high-value production of natural bioactive metabolites. Full article