Search Results (44,062)

Microbial biosurfactants have emerged as natural and sustainable alternatives to synthetic surfactants used in the food industry, due to the growing demand for biodegradable and safe ingredients. Produced by bacteria, fungi, and yeasts, these compounds exhibit important physicochemical properties, such as emulsifying capacity, surface tension reduction, foam stabilization, and favorable interaction with different food matrices. In addition to their technological function, they exhibit relevant biological activities, including antioxidant and antimicrobial action, which contribute to the control of lipid oxidation and microbiological deterioration. These characteristics make biosurfactants attractive for applications in emulsions, fermented beverages, aerated products, probiotic systems, and bioactive packaging. The objective of this work is to provide a narrative literature review that integrates recent advances in the production, functionality, safety, sustainability, and application perspectives of biosurfactants in the food sector. In the field of production, biotechnological advances have made it possible to overcome historical limitations such as high cost and low yield. Strategies such as the use of agro-industrial waste, metabolic engineering, microbial co-cultures, continuous fermentations, and in situ removal techniques have increased efficiency and reduced environmental impacts. Despite the advances, significant challenges remain. Future prospects and advances tend to facilitate industrial adoption and consolidate biosurfactants as strategic ingredients for the development of more sustainable, functional, and technologically advanced foods. Full article

4D printing, as an advanced evolution of 3D bioprinting, introduces time as an active design dimension, enabling printed constructs to undergo programmed morphological or functional transformations in response to external or endogenous stimuli. By integrating stimuli-responsive smart materials with precise additive manufacturing, 4D printing provides a bio-inspired strategy to overcome the inherent limitations of static scaffolds and to achieve spatiotemporal dynamic matching with the evolving biological microenvironment during tissue regeneration. Over the past decade, significant progress has been made in applying 4D printing to structurally and functionally complex tissues, including bone, muscle, vasculature, nerve repair, wound closure, and other emerging biomedical scenarios. Rather than emphasizing shape change alone, recent advances demonstrate that 4D-printed constructs can emulate key biological processes such as morphogenesis, contraction, directional guidance, electrophysiological signaling, and microenvironment-responsive regulation, thereby enhancing tissue integration and functional recovery. This review systematically summarizes materials, stimulus–response mechanisms, and representative applications of 4D printing from a bio-inspired perspective, while critically discussing current challenges related to material performance, mechanistic understanding, manufacturing precision, and clinical translation. Finally, future perspectives are outlined, highlighting the importance of interdisciplinary integration, intelligent manufacturing, and clinically oriented evaluation frameworks to advance 4D printing toward personalized and precision regenerative medicine. Full article

Conventional alkaline extraction of plant proteins typically requires highly alkaline conditions (pH ≥ 11) and extended extraction times (~1 h). Although protease addition can lower extraction pH and improve functionality, it often requires prolonged hydrolysis. In this study, enzymatic reactive extrusion (eREX) using Alcalase, followed by a short duration alkaline extraction (5 min, pH 9), was evaluated as an alternative approach for producing protein-rich extracts from canola meal. The eREX process increased protein recovery by 48% and 42% compared with alkaline extraction conducted without and with Alcalase, respectively. The resulting powdered extracts reached a protein content of up to 49% and consisted primarily of partially hydrolyzed proteins (10–23 kDa) with increased surface hydrophobicity. Amino acid analysis showed substantial enrichment of essential amino acids, particularly histidine and sulfur-containing amino acids. Functional properties were improved, including enhanced solubility across pH 2–10, high foaming stability (88%), and increased oil-binding capacity (~5.5 g g⁻¹), while in vitro digestibility remained comparable (~85%). Techno-economic analysis indicated reductions in water use (~11%), energy consumption (~48%), and production cost (16–25%). Overall, eREX provides a rapid, higher-throughput, and cost-effective strategy for producing premium canola protein ingredients. Full article

Significant volumes of wastewater and solid by-products are produced by olive oil industries worldwide, posing serious environmental challenges. This study presents an innovative circular economy and environmental sustainability approach that simultaneously valorizes liquid (olive mill wastewater, OMW) and solid by-products (crushed olive pits) rom olive oil production through hydroponic lettuce cultivation. The OMW was pretreated and supplemented with nutrients (OMW-N) to create a hydroponic solution for lettuce (Lactuca sativa) cultivation using crushed olive pits as growing substrate. A hydroponic system fed with a nutritive solution was used as a control. Lettuces grown in the OMW-N system achieved a 100% survival rate with no signs of phytotoxicity, although they exhibited a significant reduction in fresh mass (approx. 66%) and size, compared to the control. The sensory analysis revealed no significant differences in consumer acceptance, except for slightly lower color intensity, with 40% of participants explicitly indicating a purchase preference for the OMW-N lettuce, validating its commercial feasibility. Results demonstrated that OMW-N system functioned as a tertiary treatment, achieving additional removal of nutrients. Overall, integrating treated OMW and olive pits into hydroponics is a feasible strategy to convert agro-industrial waste into value-added food products, reducing the environmental footprint of the olive sector. Full article

Climate change is intensifying the simultaneous occurrence of biotic and abiotic stresses in fruit crops, but yet the molecular mechanisms underlying plant responses remain poorly understood. The physiological and transcriptomic responses of two sweet cherry (Prunus avium L.) cultivars, Santina and Bing, grafted onto Gisela 12, were investigated under single and combined stresses imposed by Pseudomonas syringae pv. syringae and water deficit. Although biomass, gas exchange, and hormone accumulation showed only minor changes, combined stress triggered distinct cultivar-dependent transcriptional reprogramming. The cultivar Bing exhibited a pronounced response with 4261 differentially expressed genes (DEGs), characterized by strong repression of photosynthetic processes and activation of defense- and hormone-related pathways. In contrast, the cultivar Santina showed a moderate response with 674 DEGs, primarily reinforcing structural and secondary metabolism. Cultivar-specific modulation of abscisic acid sensitivity was associated with the contrasting regulation of WRKY40 and Sin3-like repressors, despite comparable ABA levels. Strikingly, both cultivars upregulated the GIGANTEA gene, underscoring its role as a central regulatory hub linking circadian rhythm, stomatal function, and hormonal crosstalk under dual stress. Collectively, these results reveal non-additive, genotype-specific transcriptional strategies in sweet cherry trees, providing insights into stress integration in fruit trees and identifying regulatory genes that may inform breeding and management strategies for resilience under climate change. Full article

Sepsis is a life-threatening condition caused by a dysregulated host immune response to infection, leading to systemic inflammation, organ dysfunction, and potentially death. Despite significant advances in understanding the pathophysiology of sepsis, effective therapeutic options remain limited, and mortality rates remain unacceptably high. Therefore, a deeper understanding of sepsis pathogenesis and the identification of novel therapeutic targets are urgently needed to improve patient outcomes. Recent studies have revealed that RNAs can undergo glycosylation, generating a previously unrecognized class of molecules known as glycosylated RNAs (glycoRNAs), which are localized on the outer surface of cells. GlycoRNAs are highly expressed in immune cells, and accumulating evidence indicates that they play important roles in regulating immune responses, including immune cell adhesion and infiltration, immune cell activation, and immune evasion. In addition, glycoRNAs are abundantly expressed on the epithelial cell surfaces of the respiratory, digestive, urinary, and reproductive systems, suggesting that glycoRNAs may function as a component of epithelial barriers that protect against pathogenic invasion. Collectively, these findings suggest that glycoRNAs may play a critical role in the pathogenesis of sepsis. This review summarizes the expression and functions of glycoRNAs in immune and barrier systems and highlights their potential roles during distinct immunological phases of sepsis. Full article

CO₂ injection success hinges on the injectivity index, a major determinant of storage feasibility. This study develops a machine learning (ML)-driven framework optimized for CO₂ injectivity prediction, benchmarking its robustness and real-world applicability against an empirical correlation developed in the literature. The framework is applied to the Entrada Formation in the San Juan Basin, a laterally extensive sandstone unit with limited structural complexity across most of the basin, except for localized uplift in the Hogback region. A numerical model was calibrated to perform sensitivity analysis to identify the dominant parameters influencing injectivity. A dataset of these parameters generated through experimental design informs the development of several ML-based proxies and the best model is selected based on error metrics. These metrics include coefficient of determination (R²), mean absolute error (MAE), and mean squared error (MSE). The effective permeability-thickness product was obtained by the Peaceman’s well model, fractional flow slope, and Dykstra–Parsons coefficient were identified as the most influential parameters impacting the objective function. Train–test and blind test validation identified the Ridge model as the best, achieving an R² ≈ 0.994. The Ridge model which was used to map the Entrada Formation closely matches field-based correlations in the literature, confirming both its physical validity and the Entrada Formation’s strong injectivity potential, with slight deviations explained by the inclusion of additional parameters. This study reduces dependence on computationally intensive simulations while improving prediction accuracy. By benchmarking against established correlations, it enhances model reliability across diverse reservoir conditions. The proposed framework enables rapid, data-driven well placement and feasibility evaluations, streamlining decision-making for CO₂ storage projects. Full article

A two-parameter environmental (measured in CO2eq—CO₂ is used in this paper to represent the carbon dioxide molecule as opposed to the chemical formula CO₂ as is common practice in LCA studies; CO2eq is an abbreviation for CO₂ equivalent and may be written as CO2e in the literature) and economic (measured in USD) analysis using life cycle analysis (LCA) and techno-economic analysis (TEA) of repurposed wind turbine blades for structural use in recreational trail bridges (e.g., on hiking trails and golf courses) is described in this paper. The US Department of Energy’s TECHTEST TEA/LCA software (v1.0) platform was used to compare three commercially available trail bridges (a steel truss bridge, an FRP pultruded truss bridge, and a glulam stringer bridge) with a bridge made from retired wind turbine blades (known as a BladeBridge). All bridges had a 50 ft (15.24 m) long by 6 ft (1.83 m) wide deck and were designed for a 90 psf (4.3 kN/m²) live load. The LCA functional unit was the assembled bridge, which was made ready to be shipped from the fabricator. Cradle-to-gate (A1–A3, i.e., raw material extraction, transportation, and manufacturing) system boundaries were used. For the BladeBridge, no embodied carbon was attributed to the blade itself (cut-off system allocation). For the TEA, a USD 660/tonne credit was attributed to the blade. The raw materials for each bridge were determined from detailed construction documents. Manufacturing and transportation energy were determined based on the equipment used for fabrication and geographical location. Direct labor for fabrication was calculated based on a weighted average of salaries taken from the US Bureau of Labor Statistics. The results indicate that raw materials had the biggest effect on embodied CO2eq and that labor had the largest impact on cost for all bridges. The results indicate that the BladeBridge is significantly less expensive to produce and releases less CO2eq into the environment (less Global Warming Potential (GWP)) than the three commercially available bridges. Additional TEA metrics for the BladeBridge, including Technology Readiness Level (TRL) and future market potential, were also evaluated and found to be positive for the BladeBridge technology. Full article

Microalgae and cyanobacteria represent promising, sustainable resources for agricultural applications, particularly as biofertilisers, biostimulants, and biological plant protection agents. Their biomass can improve nutrient use efficiency, support plant growth and yield, and enhance soil structure and microbial activity, while cyanobacteria additionally contribute through biological nitrogen fixation, reducing reliance on synthetic fertilisers. The integration of microalgal cultivation with closed-loop systems, such as wastewater treatment plants or biogas facilities, enables nutrient recovery, production of value-added biomass, and mitigation of greenhouse gas emissions. This review synthesises current knowledge on the biochemical composition, functional properties, and mechanisms of action of microalgal and cyanobacterial biomass in relation to these established agricultural applications. In addition, prevailing research trends, selected technological and organisational constraints, and implementation challenges are discussed. Particular attention is given to emerging application contexts, including bioregenerative life support systems (BLSS) for space agriculture, where microalgae and cyanobacteria can contribute to oxygen production, nutrient recycling, and edible biomass generation. Species such as Chlorella vulgaris, Arthrospira platensis, and Scenedesmus obliquus demonstrate tolerance to microgravity, radiation, and limited light conditions, supporting their potential use in closed, self-sufficient cultivation systems. Although numerous reviews have addressed individual agricultural applications of microalgae and cyanobacteria, a more integrative perspective that connects biological functionality with broader technological, regulatory, and implementation contexts remains valuable. The present review contributes to this perspective by consolidating established agronomic uses and extending the discussion toward selected emerging applications, thereby providing a structured framework for future research and development in sustainable terrestrial and extraterrestrial agriculture. Full article

This study investigated the efficacy of two value-added products derived from silkworm excrement—a concentrated extract (SCE, 20:1) and sodium copper chlorophyllin (SCC)—as functional feed additives for common carp. Diets supplemented with 0.5% SCE, 1.0% SCE, or 0.1% SCC were compared to a basal control. The results revealed a distinct dose-dependent effect for SCE: 0.5% SCE was safe, while 1.0% SCE impaired growth, feed efficiency, and digestive enzyme activity. Both SCE and SCC significantly enhanced lipid metabolism, reducing hepatic lipid deposition and improving serum lipid profiles, albeit through distinct molecular pathways—SCC primarily stimulated catabolism, whereas SCE comprehensively regulated both synthesis and breakdown. Furthermore, SCE demonstrated superior, multi-targeted immunomodulatory capacity by favorably regulating inflammatory cytokine expression, an effect not observed with SCC. Although both additives boosted systemic antioxidant capacity, their specific patterns of enzyme activity and gene expression differed. In conclusion, SCE offers broad-spectrum, synergistic benefits for health modulation, while SCC provides specific, stable bioactivity, highlighting the importance of selecting the appropriate additive form based on desired functional outcomes in aquaculture. Full article

Lung cancer is considered to be a significant cause of death in the world, and the timely identification of nodules in the lungs in CT scans is very important to enhance the prognosis of patients. Although the state of the art of nodule delineation using deep learning-based segmentation models was achieved, major problems, including high feature diversity, low spatial discrimination, and overfitting of the models, require stronger feature-processing approaches. This research explores an enhanced symmetric encoder–decoder segmentation network known as the Improved Group–Shuffle Module (IGSM) to overcome these shortcomings. The most important feature of the proposed method is the IGSM, which hierarchically divides feature maps into a few groups, then transforms them independently, and then randomly switches channels between groups to increase inter-group interaction of features and diversity. This IGSM method is inspired by human brain functions, which are processed in specialized cortex areas, which are mimicked in this work through small-group feature processing. Channel shuffling is designed based on inter-modular communication in the human brain through coherent information sharing among the small groups of cortices. Through this mechanism, the model is much better at capturing discriminative spatial and contextual patterns, especially on complex and subtle nodule structures. The IGSM configurations have been optimized, specifically, the placement of the modules, grouping size, and shuffle permutation strategies. The proposed model’s performance is then compared with the benchmarked models, like U-Net and DeepLab, with various performance indicators such as mean Intersection over Union (mIoU), Dice Score, Accuracy, Sensitivity, and Specificity. The simulation results proved the superiority of the IGSM-enhanced model with the mIoU of 0.7735, the Dice Score of 0.9665, and the Accuracy of 0.9873. The addition of the group and shuffle module not only enhances the discrimination between the nodules and their background, but it also improves the ability to generalize over a variety of nodules’ morphology, thus producing a reliable tool for automated detection of lung cancer. Full article

Beef and yam are valued as functional foods, yet their synergistic effects on gastrointestinal health and immunity remain underexplored. This study investigated the effects of beef and yam on the spleen and stomach. In the present study, a rat model of spleen deficiency was established by poor diet and exhaustive swimming. The weight, food intake, gastrointestinal and immune indexes, and the intestinal flora of the rats were examined. The results showed that the levels of gastrin, motilin, and four cytokines improved. Specifically, the beef group exhibited marked recovery in gastrointestinal hormones, with serum gastrin and motilin levels increasing to approximately 60 pg/mL and 70 pg/mL, respectively, close to the normal control levels, and significantly higher than the model group. The beef and yam effectively restored the balance of intestinal flora, which significantly increased the diversity of intestinal microorganisms. In addition, the tissue structure of the spleen, stomach, small intestine, and colon was also effectively improved. Additionally, yam increased gut microbial diversity and optimized the microbial community structure, consequently enhancing the overall health status. This study elucidates the multi-pathway mechanisms by which beef and yam ameliorate spleen deficiency, providing a scientific basis for their application in functional foods. Full article

Transcranial magnetic stimulation (TMS) is a non-invasive brain stimulation tool for investigating the neurophysiology of different neurological and neuropsychiatric disorders, including Parkinson’s disease (PD) and other parkinsonian syndromes and movement disorders. Briefly, TMS enables targeted stimulation of specific cortical regions through externally applied magnetic pulses, avoiding surgical intervention (as it occurs in deep brain stimulation) and making it a safe, repeatable, and well-tolerated approach. Over the past two decades, extensive research has explored the clinical utility of TMS in PD, with particular emphasis on motor cortex excitability, synaptic plasticity, and functional connectivity, which are central contributors to both motor and non-motor symptoms in PD patients. In addition, repetitive TMS and related stimulation paradigms have been shown to positively modulate cortical plasticity, i.e., the brain’s capacity to reorganize neural circuits, suggesting potential benefits for longer-term non-pharmacological management and rehabilitation protocols. More recently, studies have also investigated the role of TMS in atypical and secondary parkinsonisms, indicating that it may help characterize distinct neurophysiological abnormalities and provide symptomatic improvement in selected patients. This narrative expert review provides a comprehensive summary of TMS applications across the wide spectrum of parkinsonian syndromes, highlighting not only clinical potential, but also methodological limitations and future research directions. Full article

Background: Chronic inflammatory enteropathies (CIEs) in dogs are multifactorial disorders characterized by mucosal immune dysregulation, compromised epithelial barrier function, and increased exposure to microbial components such as lipopolysaccharide (LPS). The resulting oxidative stress and inflammation contribute to local and systemic pathology. Objective: This study aimed to evaluate the immunomodulatory and antioxidant effects of three naturally occurring flavonoids—quercetin, luteolin, and grape seed extract oligomeric proanthocyanidins (GSOPs)—in LPS-stimulated canine duodenal explants. Methods: Duodenal tissue samples were cultured in vitro and challenged with LPS derived from Escherichia coli and Salmonella enterica. Explants were co-incubated with flavonoid compounds, and endpoints included evaluation of histological architecture, inflammatory cytokine production, and reactive oxygen species (ROS) and reactive nitrogen species (RNS) generation. Results: All three flavonoids attenuated LPS-induced mucosal inflammation and ROS production to varying degrees. In addition, GSOPs significantly reduced RNS levels under both basal and LPS-stimulated conditions. Quercetin and luteolin demonstrated pronounced downregulation of TNF-α, while both compounds also reduced IL-6 concentrations under non-stimulated conditions. These effects support the hypothesis that flavonoids can mitigate both inflammatory and oxidative responses under conditions relevant to CIE. Conclusion: Quercetin, luteolin, and GSOPs show promising in vitro efficacy in modulating key mechanisms implicated in canine CIE. Their multimodal actions highlight their potential as adjunctive nutraceuticals for the management of CIE in dogs. However, further in vivo validation is warranted. Full article

Stem-cell differentiation technologies have traditionally relied on recombinant growth factors, cytokines, and morphogens to initiate and guide lineage specification toward clinically relevant cell types. These approaches have enabled substantial progress in regenerative medicine, as exemplified by recent advances in cell-replacement therapies for Parkinson’s disease, type 1 diabetes, and retinal degeneration. However, protein-based ligands and soluble factors are often limited by short half-lives, pleiotropic signaling, condition-dependent effects, and challenges in achieving precise spatial and temporal control in scalable systems. In this review, we survey differentiation strategies driven by administered substances, organizing the field into five material-centric modules: recombinant growth factors, cytokines, morphogens, exogenous ligands, and agonist antibodies. For each module, we summarize mechanistic principles, representative studies, controllable variables, and translational considerations. While growth factors, cytokines, morphogens, and exogenous ligands remain central tools for directing lineage commitment and maturation, recent studies indicate that agonist antibodies offer an additional and distinct means of controlling differentiation outcomes. These antibodies can function as receptor agonists while also imparting tissue-selective effects, enabling lineage specification with coordinated spatial targeting. By focusing on differentiation methods driven by administered molecules and excluding direct physical stimulation or complex 3D constructs, this review provides a framework that is particularly relevant to immunology and translational practice. We highlight agonist antibody-based induction as an emerging strategy that complements established ligand-based approaches and may broaden the design space for clinically applicable stem-cell differentiation. Full article