Search Results (2,200)

Micronutrient deficiencies, particularly of vitamins A, D₃, and folic acid, remain a significant global health challenge despite established dietary recommendations. This study proposes a novel fortification strategy using advanced emulsion technology to enrich extra-virgin olive oil (EVOO) with these essential micronutrients. Water-in-oil (W/O) and double oil-in-water-in-oil (O/W/O) emulsions were designed to enable the simultaneous encapsulation of lipophilic (A and D₃) and hydrophilic (folic acid) vitamins within a single functional food matrix. Vitamin concentrations were quantified using high-performance liquid chromatography (HPLC) coupled with a photodiode detector (PDA) to evaluate retention during processing. Bioaccessibility was assessed by subjecting vitamin-enriched emulsions to a standardized in vitro digestion model simulating gastrointestinal conditions. Results showed significantly higher incorporation efficiency in the O/W/O system compared to conventional W/O emulsions, regardless of the physicochemical properties of the vitamins. Both lipophilic (A and D₃) and hydrophilic (folic acid) compounds exhibited a satisfactory retention, highlighting the versatility of the double-emulsion approach. This study represents the first report of simple and multiple oil-continuous emulsions that simultaneously incorporate vitamins A, D₃, and folic acid, providing preliminary evidence of their stability and gastrointestinal release under simulated digestion conditions. Full article

Energy thriftiness and metabolic adaptations have had a crucial role in the emergence and spreading of the Homo lineage in the world. A higher-energy demand was required not only for the growing body mass, encephalization and human proliferation, but also for the survival adaptations to the environmental stresses. Because lean body mass lacks the energy-storage capacity required to supply the body’s demands, dedicated fat-storing cells originated. To feed such fat stores, the hominid evolution developed “meat-adaptive” genes to detect, digest and metabolize higher fat diets, and body-fat stores can be affected by lifestyle through hormonal-controlled daily energy balance. In energy surplus conditions, hypertrophy and hyperplasia of adipocytes can occur, with hypertrophic adipocyte signaling both a neo-adipocyte differentiation (leading to hyperplasia) and a local macrophage density (resident + infiltrated macrophages) for fat surplus scavenging. Adiposity-induced inflammation is caused by fat-overstored (hypertrophied) adipocytes that may operate as an overactive endocrine organ secreting an array of pro-inflammatory adipokines that, in combination with resident-macrophage activity and infiltrated blood-recruited, monocyte-derived macrophages, amplify the inflammatory process by spurting pro-inflammatory cytokines into the bloodstream. From an evolutionary perspective, obese humans represent a natural selection overexpressing the “thrifty” genes evolved for efficient food collection and fat deposition intended to help in survival in prolonged periods of famine. However, genetically speaking, obesity is a polygenic multifactorial disorder. Considering the rapidity of obesity-epidemic growth worldwide, epigenetic sets forth the key assumption of the mismatch between our human genome molded over thousands of generations, coping with the unprecedented dietary and physical conditions. Consequently, obesity would be due to our evolutionary-adapted polygenic-charge expressed by a deteriorated lifestyle characterized by high energy-dense food intake coupled with a reduction in caloric expenditure stemming from new mobility-reducing technologies. As a model of lifestyle change (LiSM), our 28-year on-going longitudinal study (“Moving for Health”) has shown effectiveness in the reduction not only of obesity but especially of its comorbidities, in a (10 week to 3 year) length-dependent LiSM. However, a disappointing progressive decrease in compliance with the study has been observed and attributed to the resistance of people to change their actual “obesogenic” lifestyle, basically represented by the individuals’ demand for labor-saving technologies and convenient, affordable, palatable foods. Full article

Background and Objectives: Current research approaches focusing on the human gut microbiota require complex in vitro systems that could provide sufficient viability and similarity with the conditions provided by the human intestine. As critical physiological functions, such as metabolic and inflammatory modulation, are associated with gut microbiota activity, complex host–microbiota interactions represent a pivotal new direction for therapeutic and nutritional interventions. However, there are several limitations to the current development of advanced in vitro models. Materials and Methods: A systematic review was performed according to the PRISMA guidelines for data collection and interpretation. Results: This manuscript summarizes the most advanced in vitro approaches for studying the gut microbiota, including batch fermentation models, dynamic fermentation models, and state-of-the-art technologies, such as organoids and gut-on-a-chip platforms. Each model offers beneficial study backgrounds, advantages, limitations, and the capacity to replicate the physiological complexity of the intestinal environment. However, due to the increased heterogeneity of the reported models, there is an urgent need for standardization. In this way, coherent regulatory frameworks are needed to guide the development and application of in vitro models. Conclusions: By consolidating knowledge and critically addressing current challenges, this study contributes to gut microbiota research by providing a direction for ethical, precise, and high-impact scientific studies. Full article

This review examines the implementation dimensions of integrated lemon biorefinery systems, including cascade valorisation design, circular-economy integration, life-cycle assessment, techno-economic feasibility, and regulatory frameworks. Bibliometric analysis of Web of Science data (2015–2025) reveals exponential growth in citrus-biorefinery research, with lemon representing a burgeoning subset. Techno-economic assessments indicate that cascade biorefineries recovering essential oils, pectin, polyphenols, nanocellulose, and bioenergy can achieve cumulative revenues of USD 400–650 per tonne of dry peel. Whilst small-scale units (<500 tonnes per year) struggle to achieve viability, industrial simulations demonstrate Internal Rates of Return exceeding 18% at processing scales above 100,000 tonnes annually (2025 basis). Life-cycle assessments confirm environmental benefits, with greenhouse gas reductions of 60–85% relative to conventional disposal. Critical success factors include adopting green extraction technologies to preserve bioactive integrity and mitigating D-limonene inhibition in downstream anaerobic digestion. These findings establish essential oil extraction and pectin recovery as commercially mature technologies, whilst integrated multi-product lemon biorefineries remain economically promising based on techno-economic modelling and pilot-scale demonstrations, provided regulatory hurdles are effectively navigated. Full article

Accurate and physiologically relevant in vitro models are needed to predict nutrient digestibility and hindgut fermentation in pigs, as conventional in vivo trials are resource-intensive and raise animal welfare concerns. This study evaluated and compared the predictive performance of three in vitro digestion approaches—shaking (S), dialysis (D), and a combined shaking plus dialysis (SD) method—for estimating in vivo apparent total tract digestibility (ATTD) and fermentation characteristics across weaning, growing, and finishing pigs. Commercial diets were subjected to simulated gastric and small-intestinal digestion using S, D, or SD, followed by fecal inoculation to model hindgut fermentation for 12 and 48 h. During the gastrointestinal phase, crude protein digestibility was highest with D (>75%), intermediate with SD, and lowest with S (50–60%), indicating that product removal by dialysis mitigated enzyme inhibition from metabolite accumulation. After 48 h of fermentation, all methods showed strong linear correlations with in vivo ATTD (r > 0.93), but only D achieved high absolute agreement (Lin’s CCC > 0.95 for dry matter and crude protein). Moreover, D and SD at 48 h closely reflected in vivo fecal profiles of skatole, indole, and microbial enzyme activities, with D at 12 h showing an especially strong correlation for protease (r = 0.98). While D provided the most precise predictions of absolute values, the SD method offered an optimal balance between physiological relevance and operational efficiency, supporting its use as a robust, high-throughput platform for porcine feed evaluation and fecal nitrogenous odorant prediction. Full article

Urban areas require context-specific bioenergy solutions to advance toward circular and sustainable energy systems. In Bogotá, urban pruning and grass-cutting residues constitute a relatively stable biomass stream; however, the absence of district-scale valorization infrastructure leads to their direct disposal in landfill. This study develops and applies a GIS-based planning methodology to support the territorial design of a small-scale anaerobic digestion plant using urban green waste. In this study, “small-scale” is understood as an early-stage urban facility concept compatible with the available pruning stream of approximately 1200–1300 t/month of valorizable biomass, corresponding only to an order-of-magnitude energy range of a few hundred kW_e/kW_t, rather than to a final engineering design. The approach integrates official geospatial data with logistical, environmental, and institutional criteria to characterize biomass availability and evaluate location alternatives under real urban constraints. A continuous location model based on the Weber problem is first applied to estimate a theoretical lower bound of spatial effort, using public schools weighted by enrollment as a proxy for sensitive urban demand. Subsequently, a GIS-assisted Analytic Hierarchy Process (AHP) is implemented to incorporate environmental exclusions, territorial compatibility, and the operational structure of exclusive waste service areas. Results show that the optimal geometric location diverges from the territorially feasible alternative once environmental restrictions and biomass supply coherence are explicitly considered. The findings highlight that urban bioenergy infrastructure planning is governed less by pure spatial efficiency than by the integration of supply, demand, and institutional constraints. The proposed methodology provides a reproducible decision-support tool for urban bioenergy planning and contributes to sustainable waste management, circular economy strategies, and local energy resilience in cities of the Global South. Full article

This study presents a comprehensive analysis of the bromatological profile of fruits from rowanberry (Sorbus aucuparia L.) and hawthorn (Crataegus monogyna Jacq.), as well as the polyphenol bioaccessibility under in vitro simulated gastrointestinal conditions, antioxidant activity and the inhibition of lipid peroxidation in a biological model (egg yolk). The fruits were demonstrated to be rich in bioactive compounds, containing comparable total vitamin E levels (~65 mg/kg), with α-tocopherol as the predominant isomer, and measurable amounts of xanthophylls, mainly lutein (20.19–21.69 μg/g), astaxanthin, and canthaxanthin. HPLC-DAD analysis identified 19 polyphenolic compounds, with catechin being the dominant compound in rowanberry fruits (4.36 mg/g), while epigallocatechin and catechin were the most abundant in hawthorn fruits. In vitro gastrointestinal digestion showed elevated intestinal bioaccessibility of hydroxybenzoic acids, with ellagic acid reaching ~96% in the intestinal phase of rowanberry fruits and ~109% in hawthorn fruits, indicating increased availability. In hawthorn fruits, flavanols exhibited greater stability and higher bioaccessibility, with catechin reaching 101% in the gastric phase, epicatechin remaining highly bioaccessible (98–97%), and epigallocatechin showing moderate bioaccessibility (24–50%). Both fruit extracts exhibited antioxidant activity, with hawthorn fruits showing significantly higher ABTS and DPPH scavenging capacities. Rowanberry and hawthorn fruits exhibited an inhibitory effect on lipid peroxidation in yolk homogenates, reducing malondialdehyde formation to 37.19 mg/kg and 20.58 mg/kg from 50.79 mg/kg, respectively, although their efficacy remained lower than that of synthetic antioxidants. The findings of this study indicate that rowanberry and hawthorn fruits are promising sources of bioactive compounds, exhibiting significant antioxidant activity in biological models and supporting the potential valorization of these underutilized fruits for functional food and nutraceutical applications. Full article

Ribosome profiling, or Ribo-Seq, is a powerful tool for studying translation. It maps the positions of translating ribosomes on mRNAs, providing insights into actively expressed genes. Unlike mass spectrometry, Ribo-Seq is not affected by the same biases that limit mass spectrometry, such as protein size, concentration, trypsin digestibility, or hydrophobicity. Thus, the translatome has previously been used to discover unannotated genes, including small and overlapping ones that were missed by mass spectrometry or gene prediction models. However, a major limitation of classical ribosome profiling is its complexity, involving multiple steps such as sucrose density gradient centrifugation and gel electrophoresis. These make the method costly, time-consuming, and limit its throughput. Here, we compared the classical method using gradient centrifugation and size exclusion by gel electrophoresis with shortened versions to evaluate experimental performance and achieved reductions. Our results show that the sucrose density gradient centrifugation is essential for obtaining accurate Ribo-Seq data, whereas gel electrophoresis for size selection can be omitted (although this requires increased sequencing depth). Thus, future experiments can be conducted with reduced sample input and hands-on time while still achieving a reliable quantification of translation. Full article

A nonlinear dynamical model for anaerobic digestion (AD) of the soluble organic fraction of municipal solid waste (OFMSW) is analyzed under inhibition conditions. The model incorporates both the acidogenic and methanogenic stages, accounting for substrate and product inhibition in both microbial consortia. Based on the dynamical properties, three stable equilibria are identified and linked to realistic operating scenarios: washout, acidification, and normal (stable) operation. Control schemes are proposed to regulate the organic substrate concentration and achieve the desired operating conditions. These strategies enhance operational stability under both normal and acidification conditions. A linear proportional-integral (PI) control scheme is designed, along with two tuning approaches to ensure closed-loop stability in the presence of external load disturbances, measurement noise, and substrate and product inhibition. The control schemes achieve, under normal operating conditions, 96% removal of soluble organic substrate and 60% removal of volatile fatty acids; under acidification conditions, 72% substrate removal is attained, with a 152% increase in volatile fatty acids relative to the inlet levels. Accordingly, the proposed model and control scheme offer a promising contribution toward improving the operational stability of AD processes treating OFMSW. Full article

Small pelagic fish are nutrient-dense foods, but whether domestic cooking alters their capacity to modulate probiotic adhesion is unclear. We prepared sardines and sprats using five household techniques (raw, cooked, steamed, baked, and fried) and generated in vitro digestates using the INFOGEST method. We tested two concentrations in two intestinal co-cultures—Caco-2/HT29 and mucin-producing Caco-2/HT29-MTX. Adhesion of Lacticaseibacillus rhamnosus, Lactobacillus gasseri, and Lactobacillus brevis were quantified. Digestates altered adhesion in a probiotic strain species in a process-dependent manner. Sprat digestates from fried or baked preparations produced the strongest stimulation, exceeding 150% in Caco-2/HT29; responses in HT29-MTX were directionally similar but attenuated. In contrast, cooked or steamed sardine digestates frequently inhibited adhesion, particularly at 0.5% (e.g., L. gasseri < 50%). Raw preparations yielded divergent outcomes across models. A two-way ANOVA confirmed significant effects of processing, concentration, and their interaction, with the interaction explaining up to 21% of the observed variance. Across conditions, L. rhamnosus adhered most consistently, whereas L. brevis and L. gasseri were more environmentally sensitive. These findings suggest that standard cooking practices alter the bioactivity of fish-derived digestates and, consequently, the adhesion of beneficial lactobacilli in intestinal cell models, selecting sprats and employing dry-heat methods may favor probiotic–host interactions under in vitro conditions. Full article

Hyperlipidemia is a metabolic disease of significant current concern. Research has demonstrated that hyperlipidemia is a primary risk factor for cardiovascular disease (CVD). Furthermore, hyperlipidemia significantly increases the risk of intracellular lipid peroxidation, which further contributes to the development of CVD. Dietary bioactive interventions, including polysaccharides, polyphenols, and organic acids, have demonstrated significant potential in regulating lipid metabolism and preventing chronic diseases. This study investigated the hypoglycemic effects of Yongchun aged vinegar powder (YAVP) using an in vitro model. Considering that the bioactivity of dietary components is influenced by gastrointestinal transit, YAVP was first underwent simulated gastric and intestinal digestion in vitro. The resulting digests were applied to a sodium oleate-induced high-fat HepG2 cell model. The results demonstrated that digested YAVP significantly inhibited intracellular lipid accumulation in a dose-dependent manner. Specifically, YAVP intervention substantially lowered concentrations of total cholesterol (TC), triglycerides (TG), and low-density lipoprotein cholesterol (LDL-C), while simultaneously elevating high-density lipoprotein cholesterol (HDL-C) levels relative to the model group. These findings suggest that YAVP retains its bioactivity after simulated digestion and exerts potent hypoglycemic effects by regulating lipid profiles in HepG2 cells, supporting its potential as a functional dietary supplement for lipid management. Full article

The oxidative stability of meat products is a crucial factor determining quality, shelf life, and consumer acceptance, as lipid and protein oxidation promote undesirable changes in sensory attributes and nutritional content. Antioxidant capacity (AOC) assays such as total phenolic content (TPC), ferric reducing antioxidant power (FRAP), 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS^•+), and 2,2-diphenyl-1-picrylhydrazyl (DPPH^•) are commonly applied in meat systems to assess the AOC associated with both intrinsic muscle components (endogenous) and the protective effects of natural ingredients (exogenous added compounds), i.e., antioxidants. Although differences in analytical methodologies limit direct comparisons among studies, it has been demonstrated that meat products inherently contain compounds that modulate oxidative reactions, with their effectiveness influenced by meat type, processing, and storage conditions. Within this framework, natural ingredients, including plant- and fungal-derived ingredients and their by-products, have gained attention as sources of natural antioxidants, whose capacity depends on the extraction method, the solvent used, and their behavior during gastrointestinal digestion, as evaluated using simulated gastrointestinal digestion (sGD) models. Numerous studies have shown that incorporating natural extracts or powders into meat products enhances AOC during refrigerated storage, with the effect generally depending on the concentration used. Moreover, several natural antioxidant treatments maintain or even enhance their AOC when assessed under sGD conditions. Full article

Rural households in cold regions still rely heavily on coal for cooking and domestic hot water, while single renewable energy sources suffer from intermittency and limited system-level assessment. This study proposes a solar–biogas complementary energy supply system integrating evacuated-tube solar collectors, an above-ground anaerobic digester, thermal storage, and biogas utilization for rural residential applications in Minqin, Northwest China. A dynamic system-wide model was developed by coupling TRNSYS with nonlinear representations of anaerobic fermentation and biogas boilers, enabling hour-by-hour simulation of energy production, conversion, storage, and consumption. Field measurements were used for validation, and the root mean square deviation between simulated and measured temperatures and gas production remained below 10%. During the heating season, the solar subsystem supplied 10% of the digester heating demand and 90% of the domestic hot-water load, while the biogas subsystem contributed 9.29% and 90.71%, respectively. The system delivered 4728.96 MJ of heat against a seasonal demand of 4636.22 MJ, fully meeting user requirements. A comprehensive 3E (energy–environment–economic) assessment shows that, compared with traditional rural energy supply modes, the proposed system reduces CO₂ and NOx emissions by 65.85% and 98.13%, respectively, and demonstrates favorable economics with a benefit–cost ratio of 2.41 and a discounted payback period of 3.27 years. The proposed modeling and evaluation framework provides a replicable solution for clean energy substitution and circular waste utilization in rural areas. Full article

Establishing plasma biomarkers in the veterinary field has always been a challenge, due to a lack of significant understanding of pathophysiological attributes of disease. Advances in mass spectrometry-based proteomic techniques have improved plasma biomarker discovery in veterinary medicine. Feline hypertrophic cardiomyopathy is the most common cardiac disease in cats and has a complex and not fully elucidated pathophysiology. This study aimed to use SWATH-MS proteomics to identify novel plasma biomarkers for fHCM and to further elucidate disease pathogenesis. Plasma was collected from 20 cats, consisting of healthy controls (n = 10) and a HCM group (n = 10). Cats with fHCM, were diagnosed by echocardiography and disease statuses were determined by a veterinary cardiologist. Undepleted cat plasma samples were digested using FASP and quantitative analysis was performed using DIA-NN. A total of 40 plasma proteins were found to be dysregulated, primarily associated with innate and humoral responses, including complement C7 and C9 and properdin proteins. Other dysregulated proteins were involved in blood coagulation (fibrinogen, fibulin-1), lipid metabolism (apolipoproteins), and inflammation pathways (transthyretin and plasminogen). These findings provide possible biomarkers for fHCM, with the potential to detect disease before clinical signs become evident, which is a significant outcome for fHCM. These proteomic changes suggest critical pathways for earlier intervention and could potentially lead to more effective treatment outcomes. Furthermore, having significant similarity to human disease strengthens the case for using cats as a potential translational model for hHCM. Full article

Sustainable energy systems such as anaerobic digestion (AD) bioreactors exhibit complex nonlinear dynamics that complicate the monitoring of key stability indicators using conventional laboratory-based methods. As a preliminary investigation, this pilot study explores the feasibility of using machine learning-based soft sensing to estimate Total Volatile Fatty Acids (TVFA(M)) from routinely measured physicochemical parameters. Using a short-term laboratory dataset obtained from controlled CO₂ biomethanisation experiments, several regression models were benchmarked, including an attention-based deep learning architecture (TabNet), multi-architecture artificial neural networks (ANNs), gradient-boosting ensembles (CatBoost, XGBoost, LightGBM), and classical kernel-based approaches. Model performance was evaluated under a cross-validated framework to assess predictive capability and consistency across folds within the limited experimental scope. Among the tested models, TabNet achieved highly competitive performance, yielding an R² of 0.8551, an RMSE of 0.0090, and an MAE of 0.0067. To support model transparency and interpretability, Explainable Artificial Intelligence (XAI) techniques based on SHapley Additive exPlanations (SHAP) were applied, identifying pCO₂ as the dominant contributor to TVFA(M) predictions within the studied operational range. The results demonstrate the potential of explainable machine learning models as soft sensors for TVFA(M) estimation under controlled laboratory conditions. Although restricted to controlled laboratory conditions and a short observation period, this pilot study demonstrates the potential of explainable machine learning models for TVFA(M) estimation and provides a methodological benchmark for future validation using larger and more diverse datasets. Full article