Search Results (196)

Burdock (Arctium lappa L., Asteraceae) seeds, a rich source of dietary fibre, proteins, essential and fatty acids, also contain high levels of polyphenols and lignans, especially arctigenin and arctiin. This study investigated the incorporation of native and supercritical CO₂-defatted burdock seed flour into gingerbread cookies formulated with sweetener xylitol compared to burdock seeds’ free sugar-based and xylitol-based cookies as a control. Arctiin was the dominant lignan in both native and defatted seed flours (68.30 and 75.16 mg/g, respectively), while isochlorogenic acid was the most abundant phenolic acid (7.01 and 7.86 mg/g, respectively). Among enriched formulations, xylitol cookies with defatted burdock seed flour exhibited the highest soluble dietary fibre content (0.29 g/100 g) and reduced hardness, comparable to the xylitol control. All samples achieved “good” sensory quality (18.33–19.65 points), with no significant differences among formulations (p > 0.05). Storage studies (60 days) under varying temperature and light conditions revealed a significant decline in sensory quality only for sucrose-based control cookies stored at 40 °C. The concentrations of major phenolic compounds remained stable under all storage conditions. These results demonstrate the technological and nutritional potential of defatted burdock seed flour as a functional ingredient in bakery products. Full article

Sensitive and on-site detection of pesticide residues remains a critical challenge for food safety, particularly in developing regions where rapid screening tools are urgently needed. Herein, we report a flexible surface-enhanced Raman scattering (SERS) platform based on triangular silver nanoplates (TSNPs) integrated onto a polydimethylsiloxane (PDMS) substrate, enabling sensitive and conformal detection of paraquat residues on agricultural surfaces. TSNPs were synthesized via a seed-mediated photochemical growth method and formulated into a TSNP ink, which was directly deposited onto oxygen-plasma-treated and thiol-functionalized PDMS substrates. Owing to the highly anisotropic geometry and sharp edges of TSNPs, the flexible SERS substrate exhibits strong localized surface plasmon resonance (LSPR) enhancement and mechanically stable electromagnetic hot spots. Systematic optimization of TSNP optical absorbance revealed that uniform nanoplate distribution and optimal hotspot density were achieved at an absorbance of 2.0. The SERS performance was evaluated using rhodamine 6G under front-side and back-side illumination configurations, demonstrating good signal reproducibility and a detection limit of approximately 10⁻⁵ M. Notably, back-side illumination through the PDMS layer provided superior SERS responses due to improved optical transmission and light–matter interaction. The practical applicability was further demonstrated through back-side SERS detection of paraquat on aluminum foil as a model surface, achieving a lowest detectable concentration of 5 × 10⁻⁶ M, followed by damage-free detection on Chinese pear peels. This work highlights a reliable and nondestructive flexible SERS platform for on-site pesticide residue monitoring. Full article

This study investigated the effects of black chokeberry (Aronia melanocarpa) (Michx.) Elliott powder addition (0.1–0.4%) on the quality attributes of cheese snacks produced from a blended camel–goat–cow milk base (60:20:20) using microwave vacuum drying. The snacks were evaluated for chemical composition, colour parameters, texture profile and water activity in order to assess how black chokeberry incorporation influences their physicochemical and sensory-related properties. Chemical analysis showed that the high protein content of the dried cheese matrix was maintained across all formulations, while fat, carbohydrate and energy values varied within a relatively narrow range, without a clear dose-dependent trend attributable solely to black chokeberry addition. Black chokeberry powder induced concentration-dependent colour changes, with decreased lightness and increased redness and overall colour difference, indicating visually noticeable shifts that may enhance product differentiation. Texture profile analysis revealed a significant reduction in fracturability at intermediate inclusion levels, suggesting a less brittle structure, whereas other texture parameters showed non-linear but statistically non-significant variations due to limited replication. All snacks exhibited very low water activity, consistent with shelf-stable, low-moisture products. A preliminary sensory test with untrained assessors indicated that black chokeberry-enriched snacks, particularly at around 0.3%, were generally well accepted, although the small panel size limits the strength of these conclusions. Overall, the findings suggest that small additions of black chokeberry powder can be used to develop visually attractive, high-protein cheese snacks with promising textural and sensory characteristics, while more comprehensive studies are needed to characterise their antioxidant properties, detailed nutritional profile and long-term stability. Full article

Background: Increasing antimicrobial resistance has directed studies toward investigating the antimicrobial activity of thymol, as well as the antibiofilm and antioxidant potential of its emulsions (with Tween 80) against multidrug-resistant (MDR) K. pneumoniae isolates. Methods: A microdilution assay was used to estimate thymol’s antibacterial potential against 10 clinical isolates (labeled 1–10). The dynamic light scattering technique was used to measure the particle size diameter (Zavg) of formulated emulsions. The antibiofilm potential of emulsions was assessed in vitro using a crystal violet assay and ex vivo on a surgical drain through a colony-forming unit assay. Antioxidant activity was screened by using the DPPH assay. Results: The MIC values were ≤1.5 mg/mL for strains 1 and 7 and <0.5 mg/mL for the other strains. Emulsions E_250:500, E_250:750, E_300:750, and E_500:750 were stable and homogeneous, with a Zavg of approx. 200 nm (128.4 ± 0.8 nm for E_250:750). These emulsions significantly reduced the biofilm biomass of strains 3 and 7 (50.6–74.32% and 34.60–59.8% of inhibition, respectively), with the strongest activity observed for E_250:500 and E_500:750. Antibiofilm potential was confirmed ex vivo, with E_500:750 showing the highest efficacy (ΔLogCFU 2.60 and 2.68 for strains 3 and 7). E_250:750 demonstrated the highest capacity to neutralize the DPPH• radical. Conclusions: Thymol and its emulsions exhibited antibacterial and antibiofilm activity against MDR K. pneumoniae isolates, along with the proven antioxidant properties of the emulsions. Full article

Excessive sodium intake is a public health concern, although sodium chloride is technologically essential in comminuted meat systems due to its role in protein solubilization, water binding, and gel formation. This study evaluated the extent to which progressive sodium reduction combined with nutritional yeast supplementation preserves physicochemical stability, structural integrity, and sensory quality in cooked sausages. Four formulations were produced: a referent and three reduced-salt (NaCl) treatments (−15%, −25%, −35%) containing 2% nutritional yeast (1% in the referent). Water activity increased significantly with salt reduction (0.969–0.977; p < 0.05), accompanied by higher lightness (CIE L*) and yellowness (CIE b*), whereas instrumental redness (CIE a*) remained stable. Proximate composition was unaffected except for the expected decrease in ash and salt content (p < 0.05), while free glutamic acid increased significantly in reduced-salt treatments (0.67 vs. 0.87–0.91 g/kg; p < 0.05). Instrumental texture parameters indicated preserved cutting resistance, although repeated compression revealed reduced structural resilience at the 35% reduction level. Sensory evaluation showed that reductions up to 25% maintained overall typicality and balance, whereas 35% reduction decreased saltiness, slice coherence, aroma harmony, and texture typicality (p < 0.05). Principal component analysis confirmed a multivariate shift from a salt-stabilized structural domain to a softer, yeast-associated sensory domain at the highest reduction level. Moderate sodium reduction combined with nutritional yeast is therefore technologically and sensorially feasible in this product category. Full article

Object pose estimation is fundamental for robotic manipulation, autonomous driving, and augmented reality, yet recovering the full 9-DoF state (rotation, translation, and anisotropic 3D scale) from RGB-D observations remains challenging for previously unseen objects. Existing methods either rely on instance-specific CAD models, predefined category boundaries, or suffer from scale ambiguity under sparse observations. We propose ProM-Pose, a unified cross-modal temporal perception framework for zero-shot 9-DoF object pose estimation. By integrating language-conditioned generative 3D shape priors as canonical geometric references, an asymmetric cross-modal attention mechanism for spatially aware fusion, and a decoupled pose decoding strategy with temporal refinement, ProM-Pose constructs metrically consistent and semantically grounded representations without relying on category-specific pose priors or instance-level CAD supervision. Extensive experiments on CAMERA25 and REAL275 benchmarks demonstrate that ProM-Pose achieves competitive or superior performance compared to category-level methods, with mAP of $75.0\%$ at $5^{°},2\mathrm{cm}$ and $90.5\%$ at ${10}^{°},5\mathrm{cm}$ on CAMERA25, and $42.2\%$ at $5^{°},2\mathrm{cm}$ and $76.0\%$ at ${10}^{°},5\mathrm{cm}$ on REAL275 under zero-shot cross-domain evaluation. Qualitative results on real-world logistics scenarios further validate temporal stability and robustness under occlusion and lighting variations. ProM-Pose effectively bridges semantic grounding and metric geometric reasoning within a unified formulation, enabling stable and scale-aware 9-DoF pose estimation for previously unseen objects under open-vocabulary conditions. Full article

Background/Objectives: The formulation development of Isotretinoin (ISN) is limited by its solubility and stability issues. This study aimed to characterise the BCS class II drug ISN, particularly the possible different solid state and formulate amorphous solid dispersion aiming for a supersaturation state. Methods: ISN’s physical states are investigated in its raw form, quench-cooled form, physical mixture with the polymer and corresponding solid dispersion form. Quench-cooled ISN was prepared in situ using DSC. Carrier stabilisation of ISN was attempted using the solid dispersion technique. Hereby, the solid dispersion of drug-polymer PVPVA at a ratio of 1:3 was prepared using the solvent evaporation method. Solid dispersion, physical mixture and raw ISN were characterised for the saturated solubility. Physical characterisation of the samples was performed using DSC, ATR-FTIR and a light microscope. Results: Two polymorphs of ISN (forms I and II) were found in the raw ISN, with form II being thermodynamically more stable. ISN possesses strong crystallinity and resistance to amorphisation under the applied quench-cooling condition without the presence of a carrier system. The conjugated polyene structure in ISN contributes to the polymorphic transformation and isomerisation. The incorporation of PVPVA in the solid dispersion system successfully improved the water solubility (sixfold) of ISN despite a combination of crystalline and amorphous components being present in the system. Conclusions: ISN is a class II drug crystal molecule. Taking advantage of solubility and possibility in the polymorphic transformation of ISN in a binary system, we concluded that ISN could potentially be formulated into its corresponding crystalline solid dispersion form. Full article

Access to the sky is a key element of residential environmental quality. In densely built-up urban areas, exposure to the sky is often limited not only quantitatively but, above all, directionally. Traditional illuminance metrics, such as the Sky View Factor (SVF) or Daylight Factor (DF), describe the proportion of visible sky or the amount of light in an averaged manner, without considering its relationship to the functional organisation of the human field of view.This article introduces the Relative Retinal Image (RRI) metric, which evaluates directional access to the sky through geometric analysis of viewing directions in relation to functional zones of the visual field, without reconstructing perceived images or simulating physiological processes. Within this geometric framework, human vision is interpreted as operating simultaneously in two visual cones: a narrow central cone responsible for acute, conscious vision (RRI-A), and a wider peripheral cone enabling the reception of low-resolution but spatially stable stimuli (RRI-B). For clarity, three concentric central ranges are distinguished: foveal (0–2.5°), sharp central (0–5°), and extended interpretative central vision (up to 10°). The proposed approach provides a geometry-based analytical tool that complements existing daylight metrics in the assessment of sustainable residential environments, without formulating normative or biological design prescriptions. Based on geometric and graphical analyses and a case study of the Józefowiec housing estate in Katowice, the results indicate that the directional structure of the sky view may be lost despite compliance with conventional planning criteria. Full article

Background/Objectives: Surfactants are commonly used to protect proteins from denaturation and particle formation, thereby ensuring the long-term stability of biopharmaceuticals. Polysorbates (PS) 20 and 80 are the most widely used surfactants in the pharmaceutical industry. However, alternative excipients such as poloxamers are currently under investigation. In this study, mixed micelles (MMs) composed of phospholipids (PL) and polysorbate 20 (PS20) were explored as a novel stabilisation strategy, aiming to reduce the PS content in protein formulations by partial substitution with PL. Despite their favourable properties, including thermodynamic stability and small particle size, MMs have seen limited application, and no reports exist on their use for stabilising antibody solutions. Results: In a first step, PS20/PL ratios were identified, which are advantageous to form stable MM solutions, followed by an optimization of the formulation process by introducing a second heating step using the direct dispersion method. Successful MM formation was confirmed via transmission and dynamic light scattering analyses at total surfactant concentrations of up to 20 mg·mL⁻¹ and 50 mg·mL⁻¹, with PL contents of 50% and up to 40%, respectively. These surfactant concentrations of up to 20 mg·mL⁻¹ and 50 mg·mL⁻¹ are substantially higher than the surfactant concentrations that are typically used in final biopharmaceutical formulations (0.01–2 mg·mL⁻¹). Consequently, the mixed micellar system enables operation even at concentrations substantially above practical formulation limits. In the ensuing study, the stabilizing potential of the PL/PS20 micellar system was appraised through agitation studies. Methods: In these studies, bovine serum albumin was employed as a model protein, while a monoclonal antibody was used as a candidate therapeutic molecule. Stability was assessed through visual inspection, turbidity measurements, particle analysis, and size-exclusion chromatography. Conclusions: A protective effect comparable to that of PS20 alone was observed for both model proteins, demonstrating for the first time that MMs can effectively stabilise biologics. Full article

Exploring how nitrogen deposition alters the competitive interactions between invasive plants and native plants is critical for predicting the invasion trends of invasive plants and for formulating their control strategies. In this study, the invasive plant Solanum rostratum and its native congener S. nigrum were selected as research subjects, and three different nitrogen (N) concentration treatments (N1: 50 mg·kg⁻¹, N2: 100 mg·kg⁻¹, N3: 150 mg·kg⁻¹) were set up to compare the two species in terms of growth and development, leaf nutrient utilization strategies, stress tolerance, and rhizosphere microbial community differences under competitive conditions. The results showed that the biomass of S. rostratum was 1.4 to 2.3 times that of S. nigrum; the former had a lower root–shoot ratio and a larger crown width, enabling it to seize more living space and light resources. Across all nitrogen treatments, the net photosynthetic rate of S. rostratum leaves was significantly higher than that of S. nigrum, reflecting a stronger carbon sequestration capacity. With the increase in soil nitrogen concentration, the malondialdehyde content in S. rostratum leaves showed a decreasing trend; meanwhile, its leaf soluble sugar and catalase contents were 3.5 to 4.3 times and 1.5 to 2.5 times those of S. nigrum, respectively, indicating a lower oxidative stress level and higher stress tolerance in S. rostratum. The leaf C/P and C/N ratios of S. rostratum increased with the rise in soil N, demonstrating a higher nutrient use efficiency, while the decrease in leaf phosphorus (P) content might be attributed to the element dilution effect caused by the rapid plant growth. In addition, the diversity and stability of the rhizosphere microbial community of S. rostratum gradually increased with increasing soil N and were significantly higher than those of S. nigrum. The rhizosphere-recruited microbes of the genera Comamonas and Chryseobacterium may help promote its root nutrient absorption and thus enhance its competitive ability. Collectively, our findings reveal that under exogenous N application, S. rostratum gains a significant growth advantage over S. nigrum, which is attributed to its stronger capacities for carbon assimilation and spatial resource acquisition, a nutrient strategy characterized by low acquisition and high utilization, as well as a stable and diverse rhizosphere microbial community. Full article

Polysaccharides extracted from Japanese pumpkin (Cucurbita maxima Duchesne) possess antioxidant activity and moisturizing effects. To meet the demand for natural skincare, this study aims to develop ultra-micro liquid crystal (ULC) emulsions containing pumpkin seed oil (PO) and Japanese pumpkin polysaccharide (PP). The novelty lies in the synergistic triple-action mechanism of the lipid lamellar structure, emollients and humectants, which together achieve superior moisturization. The formulation is varied by different emulsifiers (Emulgade^® PL 68/50 and Olivem^® 1000), thickening agents (0.3–0.5% w/w of hydroxyethyl cellulose, xanthan gum, or guar gum), and active concentrations of 2.0–4.0% w/w PO and 0.1% w/w PP. Physicochemical characterization was conducted via polarized light microscopy, particle size analysis, and wide-angle X-ray diffraction (WAXD). Stability was assessed through centrifugation and six heating–cooling cycles, while clinical safety and moisturizing efficacy were evaluated in human volunteers using the Corneometer^® and Tewameter^®. Polarized light microscopy revealed distinct Maltese cross structures, while WAXD confirmed the presence of α-gel and lamellar (Lα) phases. The ULC emulsion containing PO and PP (F9), comprising 4.5% Emulgade^® PL 68/50, 0.3% xanthan gum, 2.0% PO, and 0.1% PP, demonstrated excellent physical stability and a particle size of 4.02 ± 0.02 µm. Clinical results demonstrated that F9 was non-irritating and significantly enhanced skin hydration, while reducing transepidermal water loss compared to the baseline (p < 0.05). Although F9 showed the greatest numerical improvement in barrier function, its efficacy was comparable to placebo cream and ULC emulsion containing PO (F6) (p > 0.05). In conclusion, the successful integration of pumpkin-derived actives into a stable ULC system provides a safe and effective approach for advanced moisturizing skincare applications. Full article

Visible Light Positioning (VLP) is widely regarded as a promising technology for high-precision indoor localization due to its immunity to radio-frequency interference and compatibility with existing Light-Emitting Diode (LED) lighting infrastructure. Despite recent progress, current VLP systems remain fundamentally limited by nonlinear received signal strength (RSS) characteristics, unknown transmitter orientations, and dynamic indoor disturbances. Existing solutions typically address these challenges in isolation, resulting in limited robustness and scalability. This paper proposes SCENE-VLP (Sequential Deep Learning with Feature Compression and Optimal State Estimation), a structured positioning framework that integrates feature compression, temporal sequence modeling, and probabilistic state refinement within a unified estimation pipeline. Specifically, SCENE-VLP combines Principal Component Analysis (PCA) and Denoising Autoencoders (DAE) for linear and nonlinear observation conditioning, Gated Recurrent Units (GRU) for modeling temporal dependencies in RSS sequences, and Kalman-based filtering (KF/EKF) for recursive state-space refinement. The framework is formulated as a hierarchical approximation of the nonlinear observation model, linking data-driven measurement learning with Bayesian state estimation. A systematic ablation study across multiple scenarios, including same-dataset evaluation and cross-dataset generalization, demonstrates that each component provides complementary benefits. Feature compression reduces redundancy while preserving dominant signal structure; GRU significantly improves robustness over static regression; and recursive filtering consistently reduces positioning error compared to unfiltered predictions. While both KF and EKF improve performance, EKF provides incremental refinement under mild nonlinearities. Extensive simulations conducted on an indoor dataset collected from a realistic deployment with eight ceiling-mounted LEDs and a single photodetector (PD) show that SCENE-VLP achieves sub-decimeter localization accuracy, with P50 and P95 errors of 1.84 cm and 6.52 cm, respectively. Cross-scenario evaluation further confirms stable generalization and statistically consistent improvements. These results demonstrate that the structured integration of observation conditioning, temporal modeling, and Bayesian refinement yields measurable gains beyond partial pipeline configurations, establishing SCENE-VLP as a robust and scalable solution for next-generation indoor visible light positioning systems. Full article

Background: Menopause is characterised by a decline in oestrogen levels, leading to physical and psychological symptoms that significantly affect quality of life. Current parenteral oestradiol ester therapies, while effective, are often associated with side effects due to their oil-based formulations, including injection-site reactions and immune responses. Methods: In this study, we developed a water-soluble, polyethylene glycol cross-linked β-cyclodextrin (PEG–β-CD) polymer-based system for parenteral oestradiol delivery and evaluated its biocompatibility, solubility enhancement, immune compatibility, and pharmacokinetics. Results: Cytotoxicity assays using NIH-3T3 fibroblasts and RAW 264.7 macrophages showed minimal toxicity up to 10% (w/w). Phase-solubility studies demonstrated a significant increase in oestradiol solubility with the PEG–β-CD polymer, surpassing that of β-cyclodextrin or PEG alone. Dynamic light scattering and FTIR analyses confirmed successful complex formation, with submicron particles averaging 271 nm and physical incorporation of oestradiol into the polymer matrix. Macrophage activation assays and RT-qPCR analyses indicated an absence of immunogenic responses or pro-inflammatory cytokine induction. In vivo toxicity testing in Galleria mellonella larvae confirmed safety, while pharmacokinetic studies in Wistar rats revealed rapid initial absorption followed by stable, low-level serum concentrations comparable to those of commercially used oestradiol esters. Conclusions: These findings indicate that the PEG–β-CD polymer–oestradiol complex provides a safe, water-based alternative to traditional oil-based injections, with the potential to reduce side effects and improve patient compliance in postmenopausal hormone therapy. Full article

Autonomous drone navigation in confined tubular environments remains a major challenge due to the constraining geometry of the conduits, the proximity of the walls, and the perceptual limitations inherent to such scenarios. We propose a reinforcement learning (RL) approach enabling a drone to navigate unknown three-dimensional tubes without any prior knowledge of their geometry, relying solely on local observations from a Light Detection and Ranging (LiDAR) sensor and a conditional visual detection of the tube center. In contrast, the Pure Pursuit algorithm, used as a deterministic baseline, benefits from explicit access to the centerline, creating an information asymmetry designed to assess the ability of RL to compensate for the absence of a geometric model. The agent is trained through a progressive curriculum learning strategy that gradually exposes it to increasingly curved geometries, where the tube center frequently disappears from the visual field. A turning-negotiation mechanism, based on the combination of direct visibility, directional memory, and LiDAR symmetry cues, proves essential for ensuring stable navigation under such partial observability conditions. Experiments show that the Proximal Policy Optimization (PPO) policy acquires robust and generalizable behavior, consistently outperforming the deterministic controller despite its limited access to geometric information. Validation in a high-fidelity three-dimensional environment further confirms the transferability of the learned behavior to continuous physical dynamics. In particular, this work introduces an explicit formulation of the turn negotiation problem in tubular navigation, coupled with a reward design and evaluation metrics that make turn-handling behavior measurable and analyzable. This explicit focus on turn negotiation distinguishes our approach from prior learning-based and heuristic methods. The proposed approach thus provides a complete framework for autonomous navigation in unknown tubular environments and opens perspectives for industrial, underground, or medical applications where progressing through narrow and weakly perceptive conduits represents a central challenge. Full article

Background: Pentamidine isethionate (PTM) and miltefosine (MF) are clinically relevant antiparasitic agents whose use is limited by toxicity, emerging resistance, and the lack of effective co-delivery strategies. Tetronic^® 1307 (T1307), an amphiphilic and thermoresponsive block copolymer, was investigated as a carrier to enable their combination therapy. Methods: PTM and MF were formulated in T1307-based micelles and thermoresponsive gels. The systems were characterized by small-angle neutron scattering (SANS), dynamic light scattering (DLS), and nuclear magnetic resonance spectroscopy (NMR). Antiparasitic activity was evaluated against Leishmania major promastigotes. Results: MF formed stable micelles that efficiently incorporated PTM, generating a “drug-in-drug” architecture. While T1307 alone showed limited PTM loading, MF promoted mixed micelle formation and enhanced PTM incorporation. At physiological temperature and adequate copolymer concentrations, drug-loaded micelles formed thermoreversible gels suitable for topical application. The combined formulations preserved drug activity and exhibited synergistic effects against L. major. Conclusions: T1307 is a promising platform for the co-delivery of PTM and MF, enabling synergistic combination therapy and thermoresponsive gel formation with potential to reduce systemic toxicity and improve treatment administration. Full article