Search Results (748)

Steel slag is a major solid waste generated by the steelmaking industry. Its characteristics, including high hardness and large specific surface area, offer the potential to replace traditional mineral fillers in asphalt mixtures. However, the high alkalinity of unmodified steel slag often leads to unbalanced rheological properties and insufficient moisture stability in asphalt mastic. In this study, a modified steel slag filler was prepared using a process involving crushing and screening, water washing for dealkalization, and surface modification with a silane coupling agent. Using limestone powder and hydrated lime as control groups, the modification effects on base asphalt mastic were systematically investigated. Rheological properties were characterized using a dynamic shear rheometer (DSR) and bending beam rheometer (BBR). Interfacial performance was evaluated through pull-off tests and water immersion dispersion tests. Furthermore, mechanisms were elucidated using X-ray Fluorescence (XRF), BET specific surface area analysis, and surface free energy (SFE) tests. The results indicate that the modified steel slag significantly enhances the high-temperature deformation resistance of the asphalt mastic. At 58 °C, the complex modulus reached 7.3 MPa, representing increases of 43.3% compared to limestone powder mastic. At −18 °C, the creep stiffness increased by only 3.0%, suggesting that low-temperature cracking resistance remained fundamentally stable. The water immersion dispersion loss rate was 2.12%, and the attenuation rate of pull-off strength after water immersion was 12.5%, indicating that its resistance to moisture damage is superior to that of limestone powder and comparable to that of hydrated lime. Mechanism analysis reveals that the large specific surface area of the modified steel slag strengthens physical adsorption, while the basic oxides undergo a weak acid–base reaction with the acidic components of the asphalt. Additionally, surface modification improves compatibility. The preparation process for modified steel slag is simple; it can be used as a standalone substitute for traditional mineral fillers, balancing both performance and environmental benefits. Full article

Stone Mastic Asphalt (SMA) mixtures are widely used in high-capacity road pavements due to their durability and resistance to permanent deformation. However, although electric arc furnace (EAF) steel slag and recycled crumb rubber have been individually investigated as alternative materials in asphalt mixtures, evidence regarding their simultaneous incorporation in SMA mixtures under full-scale construction and real traffic conditions remains limited. Moreover, quantitative environmental assessments are often restricted to simplified or qualitative approaches, with limited reporting of carbon footprint results. This study investigates the combined use of electric arc furnace (EAF) steel slag aggregates and recycled crumb rubber in SMA mixtures, integrating laboratory evaluation with full-scale field application on a high-traffic motorway. Two SMA 11 mixtures were designed and assessed: one incorporating steel slag aggregates as a replacement for natural coarse aggregates, and another combining steel slag aggregates with recycled crumb rubber added through the dry process (0.8% by mixture mass). Laboratory testing included volumetric characterization, moisture sensitivity and rutting resistance, while field validation covered surface macrotexture, skid resistance, executed thickness and interlayer bonding. Both mixtures fully complied with the applicable technical specifications, achieving indirect tensile strength ratios (ITSR) above 90% and wheel-tracking slopes below 0.07 mm/10³ cycles. A simplified comparative life-cycle assessment (LCA), limited to modules A1–A3, showed a reduction in CO₂-equivalent emissions of approximately 2% for the mixture containing steel slag and up to 27% for the mixture combining steel slag and recycled crumb rubber, mainly due to the valorization of industrial by-products and end-of-life tyres. Overall, the results demonstrate the technical feasibility and potential environmental benefits of these SMA mixtures within the defined scope of laboratory verification, short-term field performance and screening LCA. The contribution of this study lies in providing applied evidence from a full-scale motorway intervention, complementing predominantly laboratory-based studies and offering a quantified environmental comparison under consistent methodological assumptions. Full article

Moisture content varies continuously during aerobic composting, which changes material flowability and can limit the use of a single set of discrete element method (DEM) parameters. To address this issue for a multi-component corn straw–pig manure mixture, we developed a rapid calibration workflow covering a moisture content range of 29–80%. Angle of repose (AoR) images were obtained using a cylinder-lifting test. To improve robustness for irregular pile contours, we proposed an AoR extraction method that combines LOESS smoothing with least-squares line fitting. Key DEM contact parameters affecting AoR were screened using a Plackett–Burman design, and their effective ranges were refined using a steepest-ascent test. A Box–Behnken design was then used to establish a response surface linking AoR to the significant DEM parameters. In addition, a polynomial relationship between moisture content and AoR was fitted and coupled with the AoR-parameter response surface to predict key DEM parameters directly from moisture content. Validation results showed that the predicted AoR exhibited a relative error below 10% across the tested moisture contents. An independent baffle-lifting validation test yielded a relative error below 5%. Overall, this workflow provided a practical strategy for setting DEM simulations of composting feedstocks under variable moisture content and supports numerical analysis and structural optimization of composting-related machinery. Full article

Cenchrus fungigraminus is a high-yielding forage material, but due to its relatively high lignin content and low carbohydrate content, its current feed utilization primarily relies on silage methods. However, current research on C. fungigraminus silage faces challenges such as unclear fermentation strains and low fiber degradation efficiency of traditional commercial starters, which prevent them from meeting the requirements for C. fungigraminus silage production. So, this study aimed to evaluate the fiber degradation effects of Bacillus velezensis JC2 (isolated from C. fungigraminus), the commercial cellulose-degrading bacterium Bacillus velezensis (CBV), and Trichoderma longibrachiatum (CTL) on C. fungigraminus. The degradation performance of JC2 was assessed based on the lignocellulose content of silage samples, scanning electron microscopy observations, crystallinity, and changes in chemical bonds and functional groups. Furthermore, the three strains exhibiting the highest activities of CMCase, FPase, and β-glucosidase during the screening process were combined with enzyme preparations to develop a specialized silage additive suitable for C. fungigraminus. The results indicate that: (1) Compared to commercial cellulose-degrading strains, after 14 days of fermentation with JC2 treatment, the lignin in C. fungigraminus was effectively degraded. (2) The silage feed of C. fungigraminus treated with a mixture of JC2, JC3, and JC28 showed significant improvements in sensory evaluation, lactic acid content, and cellulose degradation rate. The pH value decreased rapidly (<4.2), while the LA content and the LA/AA ratio increased, and the NDF content decreased by 4.2% DM, effectively enhancing the quality of the silage feed. In summary, the Bacillus velezensis JC2 selected in this experiment effectively degraded the fiber structure of C. fungigraminus, improved the quality of the silage, and enhanced its nutritional value, demonstrating significant potential as a specialized silage additive for C. fungigraminus. Full article

Plastic pollution is a global challenge. Despite plastics being complex chemical mixtures, hazard research has focused on particulate forms and the risks of plastic additives, especially for environmental organisms, remain poorly understood. This is a significant knowledge gap considering ubiquitous organismal exposure to plastics and the associated 16,000+ additives. The aim of this study was to provide ecotoxicological characterization of aqueous eluates of foamed plastic consumer products and propose a test battery for toxicity screening. To achieve this, the hazard of eluates of six randomly selected foamed plastic products was evaluated using aquatic decomposers, autotrophs and heterotrophs (Vibrio fischeri, Raphidocelis subcapitata, Lemna minor, Thamnocephalus platyurus, Heterocypris incongruens, Daphnia magna). Alarmingly, all plastic eluates affected the organisms, though toxicity varied among materials and species. Results showed that short-term contact may underestimate plastic eluate toxicity. To increase the environmental relevance of hazard assessment of foamed plastic eluates, harmonizing leachate preparation, using natural water and avoiding (excessive) filtration of eluates should be considered. OECD/ISO assays with R. subcapitata, H. incongruens and D. magna (96 h) can be recommended as a minimal sensitive battery for effective screening of plastic eluate toxicity. Full article

This study aimed to develop sustainable supersulfated cement (SSC) comprising ferronickel slag (FNS), desulfurized gypsum, carbide slag, and a small amount of Portland cement (PC). A two-stage optimization approach considering mechanical strength, volume stability, durability, and sustainability was employed to screen the mixture proportions of low-clinker FNS-based SSC. Orthogonal experiments were firstly conducted to investigate the effects of PC, carbide slag, and desulfurized gypsum contents on the mechanical properties of SSC mortar. Range analysis revealed that carbide slag exerted the most significant impact on early-age mechanical strength, while desulfurized gypsum plays an increasingly important role in late-age strength development. Subsequently, a single-factor test was applied to determine the optimal carbide slag content in FNS-based SSC. The results demonstrated that with the incorporation of 4% carbide slag, the SSC mortar achieved the 3-day and 28-day compressive strengths of 15.88 and 42.5 MPa, with relatively low volumetric expansion. The screened mixture proportions also satisfied the requirements for strength class 42.5 SSC according to both Chinese and British standards. A life cycle assessment further indicated that its carbon emission was approximately 46.91% lower than that of conventional PC. This research provided key technical and data support for the synergistic utilization of multi-source solid wastes in producing low-carbon cementless binder. Full article

Characterizing full-scale pore-throat systems constitutes a critical challenge in the investigation of hydrocarbon-bearing spaces within tight unconventional reservoirs. Given the intricate nature of micro–nano-scale pore throats, individual characterization techniques are insufficient to achieve a comprehensive and precise description. In response, this study develops a Gaussian Mixture Model (GMM)-oriented methodology for full-scale pore-throat analysis integrating multi-source data, which encompasses five successive procedures: data optimization, optimal cluster number determination, model analysis, data fusion, and data reconstruction. Taking tight mixed-lithology samples from Block D of the Qaidam Basin as the research object, effective pore-throat thresholds were defined based on lithology-dependent breakdown pressures to facilitate cluster analysis of multi-source datasets. Following the screening of representative pore-throat clusters and data fusion via Gaussian Mixture functions, the full-scale pore-throat distribution was ultimately derived. Comparative analysis demonstrates that Nuclear Magnetic Resonance (NMR) and High-Pressure Mercury Intrusion (HPMI) data exhibit satisfactory fitting consistency at major cluster peaks, with NMR being more effective in resolving nanopores and HPMI excelling in characterizing medium to large pores. Comprehensive evaluation results validate that the proposed methodology enables efficient integration of multi-technical data, uncovers hidden pore-throat systems, and realizes innovative fractal dimension analysis of full-scale pore-throat structures by taking pore-throat clusters as the basic analytical unit. Consequently, this work offers a novel methodological framework for the quantitative characterization of full-scale pore-throats using multi-source data. Full article

Fly ash-based geopolymer concrete (GPC) is a sustainable alternative to conventional cementitious materials; however, its compressive strength is governed by complex and highly correlated mixture parameters, making experimental optimization expensive and data-driven modeling challenging. While machine learning (ML) techniques have been widely applied to predict GPC strength, most studies prioritize predictive accuracy without explicitly addressing multicollinearity among input variables, which can distort feature importance, reduce model stability, and limit engineering interpretability. This study proposes a multicollinearity-integrated and interpretable ML framework that systematically embeds correlation diagnostics and structured feature screening within the modeling pipeline rather than treating interpretability as a post-processing step. Multiple conventional and ensemble learning algorithms were comparatively evaluated using cross-validation to ensure generalization robustness. The proposed framework achieved a maximum coefficient of determination (R²) of 0.96 with low prediction error, outperforming baseline regression models while demonstrating improved stability under correlated input conditions. Unlike existing studies that rely solely on black-box optimization, the integrated interpretability analysis revealed physically consistent dominance of curing temperature, alkali content, and water-related parameters in governing strength development. By explicitly coupling predictive performance with multicollinearity mitigation and engineering-oriented interpretability, this work advances beyond accuracy-driven ML applications and provides a robust and transparent decision-support tool for sustainable geopolymer mix design. Full article

The increasing regulatory pressure on the maritime sector to decarbonize, driven in part by market-based mechanisms at the European level, is accelerating the development of onboard carbon management and energy-efficiency solutions. In this context, this study evaluates an integrated architecture that combines a CO₂ liquefaction system with organic Rankine cycles. The system captures 66% of the total CO₂ emitted by ship engines and is capable of recovering up to 2600.8 kW of energy from onboard hot and cold sources. To identify the most suitable working fluids, an extensive screening of 208 low-GWP zeotropic mixtures is conducted, assessing their thermophysical behavior and energy recovery performance. A detailed thermo-economic assessment is undertaken, including the calculation of CO₂-equivalent savings, GHG abatement cost, and payback periods. To account for fuel price variability, probabilistic modelling based on Monte Carlo sampling is applied to estimate the distribution of discounted payback outcomes. The results demonstrate that Novec 649-based zeotropic mixtures combined with the proposed architecture reduce fuel consumption and enhance onboard CO₂ management while remaining safe and economically viable across a wide range of operating scenarios. Full article

Background: Empty-nest older adults are considered a high-risk group for frailty due to constrained social support systems, yet the heterogeneity in their frailty progression remains poorly characterized. This study aimed to identify distinct frailty trajectory classes among Chinese empty-nest older adults and explore class-specific predictive factors. Methods: We analyzed eight years of data from the China Health and Retirement Longitudinal Study. The analysis included 1399 empty-nest older adults after eligibility screening. Frailty was assessed by the frailty index (FI). Growth Mixture Modeling was employed to identify FI trajectory classes, an linear, quadratic, and freely estimated forms were compared. Variable selection was performed via LASSO regression with bootstrap stability verification. Final predictors were analyzed using multinomial logistic regression. Results: A three-class quadratic model best represented the FI trajectories: “Low-increasing”, “High-fluctuating”, and “Elevated-stable”. Common risk factors included older age, rural residence, lower grip strength, death of children, and lower life satisfaction. The “High-fluctuating” trajectory was associated with poorer childhood health and smoking. The “Elevated-stable” trajectory was predicted by worklessness and by drinking. Physiological indicators showed no independent associations. Conclusions: Frailty among Chinese empty-nest older adults follows heterogeneous pathways shaped by life-course, socioeconomic, and psychophysiological factors. These results support the need for trajectory-specific screening, early risk detection, and tailored interventions for high-risk subgroups. Full article

Water contamination from diverse chemical pollutants has become a major environmental concern, demanding innovative and efficient remediation strategies. In this study, a Mg/Fe-layered double hydroxide (LDH) silica-magnetite hybrid composite was synthesized using a laser-cut microfluidic device to achieve controlled mixing and uniform particle formation. The obtained hybrid composite was further characterized by XRD, SEM, FT-IR, RAMAN, and DLS, confirming a structurally integrated LDH-silica-Fe₃O₄ hybrid, stabilized by ionic interactions, hydrogen bonds, and Si-O-Mg interactions. Moreover, biological assays confirmed that the developed material does not exhibit significant cytotoxicity and is potentially safe for environmental applications. Further, the adsorption performance was determined by treating surface water samples containing a mixture of pesticides with the composite material. After magnetic separation, the samples were analyzed by FT-ICR HR-MS, which enabled the detection and discrimination of ions with very close m/z values. The obtained results demonstrate a significant water decontamination capacity for multiple pesticides and facile water removal via magnetic separation, suggesting that these materials and the fast FT-ICR screening method are prospective, practical solutions for environmental protection of water bodies. Full article

Green cosmetics are primarily based on plant-derived ingredients and use sustainable biotechnological tools for their preparation. The present research aimed to investigate the Usnea barbata (U. barbata) extract in Jojoba oil (JO) enriched with 5% Peppermint oil (PEO) and 10% Vitamin E, as a potential natural product for skin applications. The U. barbata oil extract (UBPJO) was obtained through cold maceration. Phytochemical screening was performed using Gas Chromatography/Mass Spectrometry (GC-MS), Folin–Ciocalteu method, and Graphite-Furnace Atomic Absorption Spectrophotometry (GFAAS). Fourier Transform Infrared Spectroscopy (FTIR) and Atomic Force Microscopy (AFM) were used to evaluate the physicochemical properties. Then, rheological characteristics and oxidation stability (measured as the time to reach the oxidation starting point, induction period (IP)) of both oil samples (UBPJO and oil mixture alone (PJO) were investigated. Total phenolic content (TPC) in UBPJO was 2.5 times higher than in PJO (p < 0.05), while heavy metal levels (As and Pb) were slightly higher (p > 0.05). UBPJO has higher shear stress, viscosity, and spreadability than PJO, but the differences are not significant (p > 0.05). Finally, IP measurements indicated appreciable oxidative stability (UBPJO vs. PJO: 153.02 h vs. 137.35 h, p > 0.05). The phytochemical composition and physicochemical properties support the inclusion of UBPJO in various skincare formulations. Full article

Polyphenols are a diverse group of plant-derived bioactives that have been investigated as multi-target candidates for the potential prevention and management of neurodegenerative diseases (NDDs). We conducted an integrated bibliometric and mechanistic scoping review covering 12 polyphenol classes and seven major NDDs using records from PubMed, Embase, the Cochrane Library, and Web of Science (1940–2024). Research landscapes and emerging themes were mapped using keyword co-occurrence, clustering analyses, and BERTopic modeling. Mechanistic evidence was synthesized across core pathways, including oxidative stress, neuroinflammation, proteostasis (amyloid/tau and α-synuclein), mitochondrial dysfunction, and cholinergic modulation, to link preclinical findings with clinical outcomes. Publication output increased markedly after 2000, with China and the United States contributing the most records. Four persistent hotspots were identified: (1) antioxidant and neuroprotective effects (e.g., resveratrol, curcumin); (2) anti-inflammatory activity and intracellular signaling; (3) cognition, aging, and sex-specific responses in clinical research; and (4) animal models of memory impairment. Clinically investigated interventions include epigallocatechin gallate, Ginkgo biloba extracts, olive/cocoa polyphenols, and flavonoid-rich mixtures; however, limited bioavailability and heterogeneous trial designs constrain the strength of effect estimates. Advances in delivery systems, computational screening, and precision nutrition may improve translation. Overall, polyphenols show multi-target neuroprotective potential, but larger and more standardized clinical trials are needed to support evidence-based nutritional strategies for NDD prevention and management. Full article

This study explored, for the first time, the simultaneous dyeing and functionalization of textiles using enzymatically synthesized mixtures of phloridzin and esculin oligomers. Initial screening using multifiber fabric containing diacetate, cotton, polyamide, polyester, polyacrylonitrile, silk, viscose, and wool revealed that the oligomers successfully imparted color and high antioxidant activity to cotton, polyamide, and viscose. These three materials were therefore selected for determination of key process parameters’ influence, including temperature (35 °C and 75 °C), reaction time (6 h and 19 h), and oligomers’ concentration (1.5 and 3.0 mg/mL). Treated fabrics were evaluated for color strength (K/S), antioxidant activity, and prebiotic capacity (in vitro stratum corneum model), with all properties assessed before and after washing. The results showed that several functionalized fabrics retained coloration and functionality after washing, while fabrics functionalized with esculin oligomers’ mixture showed strong prebiotic capacity. Overall, the polyamide that functionalized with 3.0 mg/mL esculin oligomers for 19 h at 35 °C was identified as a promising candidate for reusable colored textiles, including dermatology-oriented garments for sensitive or atopic skin, sportswear, protective workwear, and daily use functional items such as hygienic pads or cloth liners. These findings demonstrate the feasibility of developing textiles with targeted prebiotic functionality. Full article

The cultivation of Physalis peruviana has emerged as a promising alternative for small- and medium-sized producers due to its high added value and low production cost. However, information on the cultivation of this vegetable crop under Brazilian edaphoclimatic conditions is still scarce. Seedling production is one of the most critical stages for crop development, as this species does not establish well from seeds under field conditions. Therefore, this study aimed to evaluate seed germination and seedling growth of P. peruviana under different container volumes and substrate compositions. The experiment was carried out from February to March 2020 in a screened greenhouse environment, using a completely randomized factorial design. The treatments consisted of different container volumes and substrate compositions, including commercial containers of varying sizes and soil-based substrates formulated with mineral components and organic manures. Four replications were used, each consisting of seven plants. Seed emergence was favored by substrates containing well-composted cattle manure, whereas smaller container volumes reduced the emergence of P. peruviana. The greatest seedling growth, including higher stem base diameter, number of leaves per plant, leaf area, and shoot and root dry mass, was obtained in larger-volume containers filled with soil-based substrates enriched with well-composted cattle manure. Therefore, for the production of high-quality P. peruviana seedlings, the use of 400 cm³ polyethylene containers filled with a mixture of soil, sand, commercial substrate, and well-composted cattle manure in a 1:1:1:2 ratio is recommended. Full article