Search Results (630)

Organic–inorganic hybrid crystalline materials formed in multicomponent aqueous systems are of interest because their phase behavior and physicochemical properties can be controlled by composition and crystallization conditions. In this study, the phase equilibria and crystallization behavior of the ternary aqueous Ca(ClO₃)₂·2CO(NH₂)₂–CH₂ClCOOH·(C₂H₄OH)₃N–H₂O system were investigated over the temperature range of −24 to 60 °C using the visual-polythermal method. Experimental data obtained for the two boundary binary subsystems and eight internal sections were used to construct the polythermal phase diagram. The diagram revealed distinct crystallization fields corresponding to ice, Ca(ClO₃)₂·2CO(NH₂)₂·2H₂O, CH₂ClCOOH·(C₂H₄OH)₃N, and a separate crystallization region associated with a previously unreported crystalline phase with the proposed composition ClCH₂COOH·Ca(ClO₃)₂·(C₂H₄OH)₃N. The solid phase was isolated from its crystallization region, washed with cold distilled water, dried to constant mass, and characterized by complementary Fourier-transform infrared spectroscopy (FT-IR), scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy (SEM–EDS), thermogravimetric analysis, derivative thermogravimetry, and differential scanning calorimetry (TG–DTG–DSC), and powder X-ray diffraction (PXRD). The experimentally determined Ca²⁺ and ClO₃⁻ contents were reasonably consistent with the proposed composition, while FT-IR spectroscopy revealed characteristic chlorate vibrations and changes in the vibrational environment of the organic component. SEM showed predominantly prismatic and plate-like crystalline morphologies, and EDS confirmed the presence of Ca, Cl, O, C, and N. Thermal analysis demonstrated multistage decomposition, with comparatively good thermal stability below approximately 150 °C. PXRD revealed a diffraction fingerprint distinct from those of the starting components and the corresponding physical mixture. Preliminary indexing of 19 principal reflections was consistent with a tetragonal candidate lattice with a = b = 7.7411(5) Å, c = 24.7182(10) Å, V = 1481.2(5) ų, and M₂₀ ≈ 23.0. The crystallographic analysis is considered preliminary because the diffraction profile was reconstructed from the available pattern and was not subjected to complete structure refinement. Overall, the combined phase-equilibrium, compositional, spectroscopic, morphological, thermal, and diffraction data support the isolation of a distinct organic–inorganic crystalline phase with the proposed composition. Full article

Organic matter enrichment in marine–continental transitional shales is influenced by volcanism, continental weathering, and paleoceanographic evolution, but their interactions during the Late Paleozoic Ice Age (LPIA) remain unclear. Mineralogical, elemental, and organic geochemical data from the Upper Carboniferous Yanghugou Formation, western Ordos Basin, were used to reconstruct volcanic input, weathering intensity, productivity, redox conditions, and organic carbon accumulation. High Hg/TOC, Zr/Al₂O₃, and Zr/Cr ratios indicate strong volcanic input during early deposition, followed by an upward decline. Chemical Index of Alteration values of 76.5–91.5 increase upward, indicating intensified chemical weathering under warmer and more humid conditions. Increasing C_org/P, Mo_EF, and U_EF values record a shift from oxic–suboxic to predominantly anoxic bottom waters. The weak relationship between productivity proxies and TOC suggests that volcanic fertilization was not the main control on organic matter enrichment. Instead, negative δ¹³C_org values, high Al₂O₃ contents, organic matter–clay associations, and reducing conditions indicate that enhanced terrestrial organic matter input and improved preservation jointly promoted organic carbon accumulation. Volcanism likely intensified climatic warming and weathering, whereas subsequent organic carbon burial contributed to atmospheric CO₂ drawdown and climatic feedbacks during the LPIA. Full article

In cold and humid environments in high-latitude, high-altitude, and offshore regions, ice accretion sometimes occurs on airfoil blade surfaces, such as those of wind turbines. Therefore, a potential hazard exists for the equipment. For this reason, the aerodynamic characteristics of the airfoil blade degrade and power generation decreases. In the present study, the icing characteristics of airfoils in cold and foggy environments were investigated. A novel icing wind tunnel with a low LWC of 0.3 g/m³ and a small MVD of 10 μm was designed and built. An airfoil sample with the aerodynamic profile of NACA 0018 was selected, and the effects of the airfoil material and the temperature on the icing area, the thickness of ice, and the coverage scope of ice were tested and analyzed. The experimental results showed that the temperature had a more significant effect on the icing characteristics in comparison with the airfoil material. At the medium temperature, −7 °C in the present study, the icing area, the thickness of ice, and coverage scope all reached their maximum value. Specifically, the maximum cross-sectional icing areas (CIAs) on the aluminum airfoil at −4 °C, −7 °C, and −10 °C for 60 min were 35.088 mm², 66.357 mm^2, and 51.538 mm², respectively, and those on the FRP airfoil were 36.204 mm², 70.352 mm², and 47.814 mm², respectively. The FRP airfoil had a larger icing area and thickness of ice. In contrast, the aluminum airfoil had a larger coverage scope of ice, which was −0.10~0.15. In addition, the aerodynamic performance of the iced airfoil, including C_d and C_m, was also obtained through CFD. The research findings provided a foundation for further exploring the atmospheric icing of wind turbines and other structures with airfoil profiles. Full article

Frozen dough technology faces persistent quality deterioration due to ice crystal formation and gluten network disruption during storage. This study investigated the cryoprotective effects of soybean oligosaccharides (SBOS) on frozen dough quality. Wheat flour doughs supplemented with 0%, 0.2%, 0.5%, and 0.8% SBOS (w/w flour basis) were rapidly frozen at −40 °C, stored at −18 °C for 0, 2, and 4 weeks, and subsequently analyzed for fermentation performance, rheological properties, water distribution, protein secondary structure, microstructure, and bread quality. Results demonstrated that SBOS supplementation significantly attenuated freeze-induced quality deterioration. SBOS effectively inhibited bound-to-free water conversion, preserved gluten network integrity, and maintained higher α-helix content in gluten proteins. Dough with 0.5% SBOS exhibited superior fermentation volume, dynamic rheological properties, and microstructural stability throughout frozen storage. Corresponding bread showed increased specific volume, reduced hardness (15.27% decrease), and improved springiness, cohesiveness, and pore uniformity. Correlation analysis confirmed that SBOS concentration was not linearly associated with quality improvements, with 0.5% identified as the optimal dosage. These findings establish that SBOS is an effective, natural, clean-label cryoprotectant for frozen dough under the tested conditions, offering significant quality preservation benefits for the frozen bakery industry. Future studies are warranted to investigate potential additional functionalities. Full article

Phanera sirindhorniae (formerly known as Bauhinia sirindhorniae) is a Thai medicinal plant with reported traditional use for the treatment of inflammation; however, its comprehensive phytochemical, biological, and formulation potential remains underexplored. This study aimed to evaluate the phytochemical composition, antioxidant, anti-inflammatory, and antimicrobial activities of extracts from the flower (BSFE), stem (BSSE), and leaf (BSLE), and to develop a BSLE-loaded hydrogel sheet for topical application. Among the extracts, BSSE exhibited the highest total phenolic content (503.71 ± 7.56 mg GAE/g) and total flavonoid content (4778.67 ± 255.47 mg EGCG/g), along with strong antioxidant activity, as demonstrated by DPPH (IC₅₀ = 17.05 µg/mL) and FRAP assays. BSLE showed superior anti-inflammatory activity by significantly suppressing nitric oxide and pro-inflammatory cytokines (TNF-α, IL-1β, and IL-6) in LPS-stimulated RAW264.7 macrophages, whereas BSSE displayed moderate effects. In antimicrobial evaluation, BSSE exhibited the strongest activity among the extracts, particularly against Escherichia coli and Staphylococcus species, although its potency remained lower than that of standard antibiotics. HPLC analysis identified 3,4-dihydroxybenzoic acid and luteolin as characteristic anti-inflammatory markers in BSLE. Based on its promising anti-inflammatory activity, BSLE was incorporated into hydrogel sheets (BSLE-F1 and BSLE-F2) using HPMC/PVA matrices with varying PEG 600 content. Both formulations demonstrated suitable physicochemical properties and skin-compatible pH. BSLE-F2 showed improved water retention and dimensional stability, whereas BSLE-F1 exhibited superior peelability, swelling capacity, and tensile strength. In conclusion, BSLE-F1 demonstrated a more favorable balance of mechanical and functional properties, suggesting its suitability as a topical anti-inflammatory hydrogel sheet. This study highlights the potential of P. sirindhorniae extracts for developing multifunctional, natural-based topical delivery systems. Full article

Ice lenses in natural frozen soils commonly exhibit inclined and heterogeneous distributions, and their spatial morphology significantly influences the mechanical behavior of frozen soils. To investigate the coupled regulatory mechanism of ice lens inclination angle and thickness on the mechanical properties of frozen silty clay, specimens containing artificial single-layer ice lenses with varying inclination angles (0°, 10°, 20°, 30°) and thicknesses (5 mm, 15 mm) were prepared under constant temperature, water content, and loading rate conditions. Low-temperature uniaxial compression tests were conducted, and the results were systematically analyzed in conjunction with discrete element method (DEM) simulations and a modified Duncan–Chang model. The results indicate that increasing the ice lens inclination angle leads to a nonlinear reduction in the deviatoric stress at 15% axial strain, with the failure mode transitioning from compression-induced bulging to shear sliding dominance. When the ice lens thickness increased from 5 mm to 15 mm, the deviatoric stress at 15% axial strain further decreased across all inclination angles, accompanied by a reduction in the composite modulus. The response surface prediction formulas for parameters a and b, established based on experimental data, effectively describe the stress–strain relationships. DEM simulations reveal, at the mesoscale, the asymmetric displacement field and shear band evolution mechanisms governed by inclined ice layers, with bond breakage accelerating as the inclination angle increases. This study clarifies the coupled effects of ice lens spatial configuration and confining pressure on the mechanical response of frozen soils, providing a theoretical reference for bearing capacity assessment of frozen ground containing inclined ice lenses. Full article

Accurate regional lightning-occurrence prediction is important for operational weather-risk management, but its development is challenged by the severe class imbalance of grid-hour lightning samples. This study proposes a repeated random undersampling (RUS) stacking ensemble that combines heterogeneous machine-learning models and produces probabilistic lightning-occurrence forecasts using atmospheric variables from the European Centre for Medium-Range Weather Forecasts (ECMWF) fifth-generation reanalysis (ERA5), together with spatial and temporal predictors. The effects of the undersampling ratio, ensemble size, and positive-class weighting were systematically evaluated, and a configuration with a RUS ratio of 1:15, 20 ensemble members, and a positive-class weight of 2 was selected. Using an operational threshold of 0.591 selected exclusively on the 2024 validation set, the final model achieved an area under the receiver operating characteristic curve (ROC-AUC) of 0.945, an area under the precision–recall curve (PR-AUC) of 0.235, a probability of detection (POD) of 0.521, and an F1-score of 0.302 on the independent 2025 test set. Physical-variable-group ablation and aggregated TreeSHAP (tree-based Shapley additive explanations) analyses were further conducted to interpret the predictions. Removing the spatiotemporal predictors produced the largest reduction in performance, followed by removing cloud and microphysical variables. Both the Light Gradient Boosting Machine (LightGBM) and categorical boosting (CatBoost) models consistently identified longitude, latitude, total-column cloud ice water, and convective available potential energy as the leading predictors, while higher cloud-ice-water content and stronger convective-instability indices generally shifted model outputs towards lightning occurrence. Direct transfer of the ERA5-trained ensemble to corresponding ECMWF forecast fields without retraining retained useful predictive skill and substantially outperformed the operational ECMWF lightning product over the collocated evaluation samples, although performance degradation indicated a cross-dataset distribution shift. These results demonstrate the value of combining imbalance-aware ensemble learning with physically interpretable predictors for regional lightning-risk forecasting, while the strong influence of geographic variables indicates that external validation and local recalibration or retraining are required before application to other regions. Full article

Saline–alkali stress severely restricts cucumber (Cucumis sativus L.) growth by disrupting ion balance, water status, photosynthesis, and redox homeostasis. Here, we examined the effects of exogenous selenium (Se) on cucumber seedlings exposed to NaHCO₃ stress. Se supplementation improved plant growth and root activity and partly restored photosynthetic performance by maintaining chlorophyll content, gas exchange, and chlorophyll fluorescence. Se reduced oxidative injury through lower ROS and MDA levels and by enhancing antioxidant enzyme activities together with the AsA–GSH cycle. In parallel, Se moderated ion toxicity by limiting Na⁺ accumulation, increasing K⁺, Ca²⁺, and Mg²⁺ uptake, and stimulating H⁺-ATPase and H⁺-PPase activities. Enhanced TCA cycle activity and organic acid accumulation suggested improved energy metabolism and ionic regulation. Se also promoted osmotic adjustment via soluble sugars and proline, and upregulated aquaporin genes (PIP1;2 and PIP2;4) to sustain water transport. Moreover, Se increased salicylic acid levels by upregulating CsPAL and CsICS, pointing to a role of SA signaling in Se-induced tolerance. Full article

Background: Solar ultraviolet (UV) radiation is a major contributor to skin damage, driving the demand for safer and more sustainable photoprotective systems. Mycosporine-like amino acids (MAAs) have emerged as promising natural UV filters due to their strong absorption and photostability; however, their application is limited by poor chemical stability in aqueous environments. Objective: The present study aimed to develop and optimize a nanoemulsion-based lip balm incorporating a MAAs-rich extract from Catenella sp., addressing stability limitations while enhancing photoprotective performance. Methods: A MAAs-rich extract was obtained and characterized by UHPLC-DAD, followed by cytotoxicity evaluation in NIH-3T3 fibroblasts and stability assessment under stress conditions. A water-in-oil (w/o) nanoemulsion was rationally developed using pseudo-ternary phase diagrams and optimized through a Box–Behnken experimental design, considering aqueous phase, surfactant mixture, and sonication time as key variables. The optimized nanoemulsion was subsequently incorporated into a lip balm matrix, which was formulated and optimized using a mixture design approach to evaluate thermal, mechanical, and sensory properties. Results: The extract exhibited a high MAAs content (9.53 mg g⁻¹ DW) and low cytotoxicity (IC₅₀ > 100 µg/mL), but pronounced hydrolytic instability, particularly under alkaline conditions, while remaining photostable. The optimized nanoemulsion achieved a droplet size below 200 nm and low polydispersity (PDI < 0.3). Importantly, incorporation of MAAs into nanoemulsion significantly enhanced the in vitro sun protection factor (SPF), increasing from 16.1 (extract) to 35.4, while maintaining broad-spectrum UV coverage (λc = 380 nm). The blank nanoemulsion also contributed to UV attenuation, indicating a synergistic effect of the colloidal system. The optimized lip balm formulation (33% beeswax, 40% nanoemulsion, 22% shea butter, 1% candelilla wax, 4% carnauba wax) demonstrated suitable melting behavior, mechanical resistance, and high sensory acceptance. Conclusions: This study demonstrates that nanoemulsion-based structuring combined with statistical formulation design provides an effective strategy to stabilize MAAs and enhance their photoprotective efficacy, supporting the development of high-performance, natural sunscreen products. Full article

Accurate mapping of thermokarst lakes in the Qinghai–Tibet Engineering Corridor is important for understanding permafrost degradation and assessing environmental risks to major infrastructure. However, thermokarst lake extraction from medium-resolution satellite imagery remains challenging because these lakes are often small, fragmented, seasonally variable, and spectrally confused with wetlands, shadows, and other surface water bodies. In this study, Sentinel-2 imagery from the 2020 thaw season was used to map thermokarst lakes in the Qinghai–Tibet Engineering Corridor. A 16-feature dataset was constructed by integrating spectral bands, water indices, texture features, and topographic variables, and a convolutional neural network (CNN) was compared with five conventional machine learning classifiers. In the pixel-based validation, the CNN slightly outperformed the other evaluated models, achieving the overall accuracy of 98.04% and an F1-score of 97.18%. Independent polygon-based validation using the Jilin-1 visual interpretation reference showed that the final CNN-derived inventory achieved an IoU of 0.79, with omission and commission ratios of 0.15 and 0.09, respectively. The CNN more effectively suppressed salt-and-pepper noise, reduced fragmented and serrated lake boundaries, and improved the spatial continuity of mapped water bodies compared with traditional machine learning classifiers. SHAP-based attribution suggested that CNN predictions were more strongly associated with water indices and texture features, whereas Random Forest predictions were mainly associated with near-infrared and shortwave-infrared bands. Thermokarst lakes showed higher lake area proportions and densities in areas with relatively high ground ice content, gentle slopes, thicker active layers, warmer permafrost, and unstable permafrost conditions. These results demonstrate the potential of Sentinel-2 imagery and convolutional models for regional thermokarst lake mapping and permafrost degradation monitoring. Full article

Brassicaceae plants, among the most widely consumed vegetables worldwide, are recognized as rich sources of biologically active compounds. In this study, nine species belonging to the cruciferous genus Thlaspi were investigated, including T. alliaceum, T. arvense, T. violascens, T. aghricum, T. cataonicum, T. annuum, T. watsonii, T. cariense, and T. elegans. In the past, pennycress species were consumed to alleviate hunger and provide nutritional support during periods of food scarcity. To evaluate the antioxidant capacities of methanol and water extracts obtained from Thlaspi species, several complementary assays were employed, including 2,2′-azino-bis-3-ethylbenzthiazoline-6-sulphonic acid radical (ABTS^•+) scavenging, 1,1-diphenyl-2-picrylhydrazyl free radicals (DPPH^•) scavenging, N,N-dimethylphenylenediamine radicals (DMPD^•+) scavenging, Fe³⁺-2,4,6-tris(2-pyridyl)-s-triazine (TPTZ)-reducing, Fe³⁺ ion-reducing, and Cu²⁺ ion-reducing assays. The IC₅₀ values of both methanol and water extracts from the aerial parts of Thlaspi species for ABTS^•+, DPPH^•, and DMPD^•+ scavenging activities were studied compared with antioxidant standards, including α-tocopherol, Trolox, butylated hydroxytoluene (BHA), and butylated hydroxyanisole (BHT). The total phenolic and flavonoid contents of the extracts ranged from 8.29 to 49.14 mg gallic acid equivalent (GAE)/g extract and from 2.33 to 74.66 mg quercetin equivalent (QE)/g extract, respectively. Furthermore, the inhibitory effects of water and methanol extracts of Thlaspi species against α-amylase, acetylcholinesterase (AChE), and carbonic anhydrase (CA II) enzymes were evaluated. The IC₅₀ values were determined to range from 122.4 to 245.9 μg/mL for α-amylase, from 17.3 to 24.1 μg/mL for AChE, and from 41.9 to 256.5 μg/mL for CA II inhibition. In addition, the phenolic profiles of Thlaspi species were comprehensively characterized by LC-MS/MS analysis using 53 reference standards. The findings demonstrated that the aerial parts of Thlaspi species are rich in polyphenolic antioxidants and may serve as promising natural sources with potential applications in the management of diabetes, Alzheimer’s disease (AD), glaucoma, epilepsy, and cancer. Full article

This paper proposes a method for simulating freeze–thaw damage in water-rich sandstone using PFC3D (Particle Flow Code in three dimensions). Water-rich sandstone is idealized as a composite system consisting of rock particles, water particles, and three types of contact surface: rock–rock, rock–water, and water–water. The volume change in water particles is governed by temperature, unfrozen water content, and porosity. During thawing, the volume change in water particles is realized by increasing the porosity after each cycle because the expansion of water particles is reflected by pore enlargement and the accumulation of externally supplied water. The proposed approach is intended for saturated or highly water-rich sandstone under laboratory freeze–thaw conditions with external water replenishment. It represents freeze–thaw damage associated with pore water freezing expansion and porosity-controlled equivalent water replenishment, whereas ice segregation, cryogenic suction, moisture migration, and a moving freezing front are not explicitly considered. A comparison between simulation results and laboratory tests indicates that the proposed method can effectively reproduce the freeze–thaw cycling process in water-rich sandstone. The results show that the mechanical behavior of sandstone after freeze–thaw cycles, including uniaxial compressive strength and elastic modulus, deteriorates significantly. The failure mode changes from shear failure to splitting failure. Freeze–thaw cycling and subsequent uniaxial compression are dominated by tensile damage, with tensile cracks accounting for approximately 90% of the total cracks. The tensile damage rate, Rt, increases exponentially. Crack development induced by freeze–thaw cycling follows an S-shaped trend and can be divided into three stages: slow crack growth from 0 to 10 cycles, rapid crack growth from 10 to 32 cycles, and a reduced growth rate after 32 cycles. The results provide a reference for the freeze–thaw damage analysis of rocks in cold regions and numerical simulations of freeze–thaw cycling processes. Full article

The compressive strength of ultra-high-performance concrete (UHPC) is jointly influenced by multiple factors, including material composition, mixture proportion parameters, and curing regime. Conventional empirical methods are therefore insufficient to accurately characterize the highly nonlinear relationships involved. To improve the prediction accuracy of UHPC compressive strength and to achieve mixture proportion optimization that simultaneously considers mechanical performance, economic efficiency, and environmental impact, this study developed random forest (RF), artificial neural network (ANN), gradient boosting decision tree (GBDT), and extreme gradient boosting (XGBoost) models based on 810 publicly available UHPC experimental datasets. Model performance was evaluated using R², RMSE, MAE, and MAPE. To enhance the robustness of model validation, repeated K-fold cross-validation, sensitivity analysis with different random seed splits, and benchmark model comparisons were further introduced. The results indicate that the XGBoost model achieved superior predictive performance on both the test set and robustness validation, with test-set R², RMSE, MAE, and MAPE values of 0.9604, 7.77, 5.58, and 4.80, respectively. The model was further interpreted using SHAP, PDP, and ICE methods, and the results revealed that curing age, fiber content, silica fume content, and water-to-binder ratio were important variables affecting the compressive strength of UHPC. Furthermore, XGBoost was used as a surrogate model and coupled with NSGA-II and TOPSIS methods for multi-objective optimization. Under the constraints of compressive strength, water-to-binder ratio, superplasticizer-to-binder ratio, and absolute volume, a computationally recommended UHPC mixture proportion balancing strength, cost, and carbon emissions was obtained. This study provides a reproducible machine-learning-assisted approach for UHPC compressive strength prediction and low-carbon, cost-effective mixture proportion design. Full article

Conventional valorization of blast furnace slag commonly involves granulation, fine grinding, mechanical activation, or chemical activation, which increase energy demand and processing complexity. This study investigated a minimally processed blast furnace slag (MP-BFS), defined here as the fraction passing 64 µm obtained by sieving a 0–8 mm industrial material without grinding, additional granulation, thermal treatment, or chemical activation. MP-BFS replaced 10–50% of the cement by mass to reduce clinker in industrial mortars formulated at a constant flow spread of 23–24 cm and tested from 8 h to 90 d. Bulk density, water-accessible porosity, total and capillary water absorption, and compressive and flexural strengths were evaluated. Replacing 10% of the cement with slag improved compressive strength from the earliest test age and increased the 28-day compressive and flexural strengths by 5.1% and 9.5%, respectively, relative to the control mortar; this response coincided with a reduction in measured porosity from 8.95% to 8.01%. This improvement is consistent with a physical filling effect and improved particle packing, although these mechanisms were not directly verified by microstructural analyses. At higher replacement levels, water-accessible porosity increased, reaching 24.45% at 50% slag replacement, alongside greater water ingress and delayed strength development. Exploratory empirical regression analyses described associations among slag content, porosity, water transfer, and compressive strength within the investigated formulations. A simplified screening-level constituent-production-and-transport comparison per cubic meter, based on generic ICE factors and an assumed 50 km transport distance, estimated a maximum embodied carbon reduction of 44% at 50% replacement. Curing energy, use, carbonation, maintenance, and end-of-life stages were excluded. Overall, 10% MP-BFS replacement provided the most favorable performance–carbon content balance, whereas 30–50% achieved larger carbon reductions but showed early-age strength losses that limit their suitability for rapid-demolding applications under the investigated conditions. Full article

Medicinal plants are a rich source of biologically active compounds, including phenolic acids, flavonoids, ellagitannins and other secondary metabolites. However, the contribution of specific groups of phenolic compounds to antiproliferative activity remains insufficiently clarified. This study extends our previous crude-extract screening by evaluating whether C18 solid-phase extraction (SPE) fractions with different phenolic profiles are associated with different antiproliferative responses. In parallel, extraction strategies were compared to assess method-dependent changes in phenolic recovery and antioxidant capacity, and an additional single-species vegetation-stage analysis of Chamaenerion angustifolium L. Holub was performed to evaluate harvest-stage effects. Phytochemical characterisation was performed using spectrophotometric assays and high-performance liquid chromatography (HPLC) analyses. Among the tested extraction methods, 75% (v/v) methanol in water was the most effective conventional solvent, and ultrasound-assisted extraction yielded the highest overall TPC (total phenolic content), TFC (total flavonoid content), and RSA (radical scavenging activity) values. Vegetation stage analysis of C. angustifolium L. Holub revealed significant variation in phenolic content and antioxidant activity, with the highest levels observed at the beginning of the flowering. Antiproliferative activity was assessed against five cancer cell lines (4T1, A549, Caki-1, HCT116 and MCF7), while HEK-293 cells were used as an immortalised non-cancerous reference model for general cytotoxicity evaluation. Linear mixed-model analysis confirmed a significant incubation-time effect in all tested cancer cell lines, with IC₅₀ values generally decreasing after prolonged exposure. Statistically significant F2-F3 differences were plant-dependent. The 30% (v/v) methanol in water fraction (F2), enriched in oenothein B in C. angustifolium L., showed stronger antiproliferative activity, whereas the 60% (v/v) methanol in water fraction (F3) showed stronger activity in Quercus robur L., Juglans nigra L., Juglans regia L., and Solidago canadensis L. These findings indicate that antiproliferative activity was associated with the qualitative and quantitative composition of the selected phenolic-rich SPE fractions rather than with a single universal fraction effect. All tested fractions exhibited lower cytotoxicity toward HEK-293 cells under the applied conditions; however, claims of selectivity should be confirmed using additional normal or primary cell models. Overall, the findings clarify the role of extraction strategy, harvest stage and targeted fractionation in linking phenolic composition with biological activity. Full article