Search Results (16,136)

Using the seeding method, nickel-based single-crystal superalloy DD6 specimens with different growth orientations were prepared in a liquid metal cooling (LMC) directional solidification furnace. Subsequent standard heat treatment was carried out, and the influence of growth orientation on the microstructure of the (001) crystal plane of the alloy after heat treatment was investigated. Results show that with the increase in growth orientation deviation angle from the <001> orientation, the area fraction of residual eutectic content is reduced, the average size and volume of pore and γ′ strengthening phase increase, and the cubicity of the γ′ strengthening phase decreases. The growth orientation does not significantly affect the morphology of residual eutectic content or the morphology of the strengthening phase of the γ′ in the dendrite cores and interdendrite regions. However, the size uniformity of the γ′ strengthening phase in dendrite cores and the width of the γ matrix channels decrease as the growth orientation deviation angle increases. Full article

Superheated liquid detectors (SLDs) exhibit strong sensitivity to fast neutrons and intrinsic insensitivity to gamma radiation, making them promising candidates for detecting shielded nuclear materials in security and non-proliferation applications. This work evaluates the feasibility of octafluoropropane-based superheated droplet detectors (SDDs) for identifying neutron-emitting materials concealed behind common attenuators. A combined acoustic and optical readout system was implemented, including a validated pulse-shape analysis method and a machine-learning-based bubble detection algorithm using YOLOv5. The optical system achieved a detection precision of approximately 80% within the defined region of interest. While the acoustic system remains the primary and more mature detection channel, the optical approach demonstrates feasibility but is not yet operationally ready for field deployment. Experiments with an AmBe neutron source and various shielding materials demonstrate that SDDs reliably detect fast neutrons under realistic inspection conditions while remaining insensitive to gamma radiation. These results support the feasibility of SLD-based systems as low-cost, passive tools for detecting shielded nuclear materials in field environments. Full article

Improper internal states in proton exchange membrane fuel cells (PEMFCs), such as insufficient reactant concentration, lower membrane water content, and excessive liquid water, will lead to significant reductions in durability and reliability, which is a bottleneck restricting the large-scale commercial application of the PEMFC system. Closed-loop management with internal state feedback is regarded as a promising strategy for prolonging its lifespan and enhancing its reliability. The key issue for the closed-loop management strategy is how to estimate the internal operating state of the PEMFC stack accurately and quickly. Consequently, an estimation method of stack internal operating states based on the medium frequency impedance phase angle measurement, which has the characteristics of short acquisition time, small measurement error, and high resolution, is proposed in this paper. The sensitivity, monotonicity, correlation analysis in the steady state, and response characteristics analysis in the dynamic state show that the proposed method is effective, competent, and qualified for internal state estimation. Then, the estimated internal state is applied to the system’s closed-loop management as feedback. The experiment results show that the PEMFC can be maintained at the expected state and that improper states will be avoided. The proposed estimation technology will significantly facilitate the system’s closed-loop management, thereby enhancing the reliability and durability of PEMFCs. Full article

Aromatase inhibitors (AIs) are the standard adjuvant endocrine therapy for postmenopausal women with hormone receptor-positive breast cancer; however, their effects on lipid metabolism remain incompletely characterized. In this study, we investigated AI-associated alterations in the plasma lipidome using mass spectrometry-based lipidomics. Plasma samples were collected from 30 patients prior to AI initiation and 29 patients receiving non-steroidal AI therapy for at least 24 months. Ultra-high-performance liquid chromatography–tandem mass spectrometry identified and relatively quantified 649 lipid species across 23 lipid classes and subclasses. Lipidomic analysis revealed significant differences in specific lipid species. Several phosphatidylcholine, sphingomyelin, and lysophosphatidylethanolamine species were significantly more abundant in patient plasma prior to AI therapy, whereas higher levels of selected ceramides, hexosylceramides, phosphatidylinositol (PI 16:0_16:0), and a polyunsaturated diacylglycerol species were observed in patients receiving AI therapy. Multivariate analyses revealed patient group separation, and a Naive Bayes classification model based on lipid-class levels achieved an area under the curve of 0.79. Additionally, lipid network and hierarchical clustering analyses identified systematic lipid-class trends. Protein–protein interaction network analysis based on lipidomic profiles highlighted enzymes associated with sphingolipid metabolism pathways. These findings demonstrate that long-term AI therapy is associated with specific alterations in the plasma lipidome, consistent with estrogen-deprivation-related metabolic differences. Targeted lipidomic profiling may provide mechanistic insights into therapy-associated metabolic effects and support future efforts to optimize long-term management of breast cancer survivors. Full article

Ibuprofen (IBU), paracetamol (PARA), and diclofenac (DIC) are three of the most used non-opioid analgesics and are most frequently detected in the environment. Some methods to analyze these compounds in water have been previously reported, but they have limitations such as long analysis time, high reagent consumption, and lack of sensitivity. An electrospray ionization high-performance liquid chromatography–mass spectrometry (ESI-HPLC-MS/MS)-based method was developed for the determination of these analgesics, applying 3D printing to improve the extraction process. The method was validated and applied to quantify the target pharmaceuticals using commercial tablets. For PARA and DIC, a gradient elution with 0.1% formic acid in water (A) and 0.1% formic acid in acetonitrile (B) was employed. For the analysis of IBU, an isocratic elution with 10 mM acetate in water (A) and acetonitrile (B) was used. ESI-MS/MS spectra were obtained in positive polarity to identify DIC and PARA, while negative polarity was used for IBU. LOD were 40.91, 3.64, and 1.96, and the LOQ were 136.36, 12.15, and 6.52 ng/L for IBU, PARA, and DIC, respectively. R² was >0.99 and RSD < 10% in all cases. The 3D-printed extraction device can be used for up to 10 cycles. This method demonstrated a remarkable performance compared to previous studies, mainly in terms of precision (RSD = 0.6–4.16%), mobile phase consumption (4 mL), and analysis time (<7 min), and was applied in the analysis of surface water samples. Full article

We report a highly sensitive and interference-free electrochemical sensor for dopamine (DA) detection in the presence of uric acid (UA) and ascorbic acid (AA), based on an in situ deposited graphitic carbon nitride (g-C₃N₄) and polymethyl thymol blue (PMTB) nanohybrid modified screen-printed carbon electrode (SPCE). The as-fabricated g-C₃N₄/PMTB/SPCE was thoroughly characterized using various physicochemical techniques. The electrochemical behavior of the modified electrode was systematically investigated by cyclic voltammetry (CV) and differential pulse voltammetry (DPV). The g-C₃N₄/PMTB/SPCE exhibited excellent electrocatalytic activity toward the selective oxidation of DA under optimized experimental conditions, including pH and scan rate. Interference-free detection of DA in the presence of AA and UA was achieved using DPV and chronoamperometric methods, revealing a wide linear concentration range, an ultralow limit of detection, and high sensitivity. Furthermore, the practical applicability of the proposed sensor was validated by determining DA in artificial biofluid samples, including blood serum, and urine. The recovery results obtained good agreement with those obtained using high-performance liquid chromatography (HPLC), confirming the reliability and accuracy of the developed sensing platform. Full article

Florfenicol (FFC) is widely used to treat bacterial infections in veterinary medicine; however, its pharmacokinetic characteristics in reptiles remain limited. This study investigated the pharmacokinetic profiles of FFC after intramuscular (IM) injection at doses of 20 or 30 mg/kg body weight (b.w.) in freshwater crocodiles (Crocodylus siamensis). A sample of 10 healthy crocodiles was randomly divided into two groups (n = 5 for each group) according to a parallel study design. Blood samples were obtained from pre-dose to 168 h post-administration. Plasma FFC concentrations were quantified using high-performance liquid chromatography with diode array detection (HPLC-DAD) and analyzed by non-compartmental analysis. The mean maximum plasma concentrations of FFC were 4.05 µg/mL and 6.11 µg/mL for the 20 and 30 mg/kg b.w. doses, respectively. The mean elimination half-lives of FFC were long but not significantly different (51 h). The average plasma protein binding was 37.15%. Based on the pharmacokinetics/pharmacodynamics (PK/PD) index, a single dose of FFC via IM elicited plasma concentrations above the MIC₉₀ values reported for several susceptible bacterial pathogens. Consequently, both dose levels provided plasma exposure consistent with previously reported reference MIC values. However, further PK/PD and multiple-dose investigations are needed to refine species-specific dosage regimens. Full article

Background/Objectives: Therapeutic drug monitoring (TDM) is essential for optimizing immunosuppressive therapy in solid-organ transplant recipients by maintaining efficacy, while minimizing adverse effects. However, conventional TDM relies on venous sampling and separate assays for tacrolimus (TAC) in whole blood and mycophenolic acid (MPA) in plasma, thereby increasing patient burden and procedural complexity. To address these limitations, we investigated the clinical utility of a microvolume, liquid-phase microsampling device (MSW2™) in combination with liquid chromatography–tandem mass spectrometry (LC-MS/MS). Methods: We established and applied an LC-MS/MS method for simultaneous quantification of TAC, MPA, and mycophenolic acid β-D-glucuronide (MPAG) using only 2.8 µL of whole blood collected with MSW2™, which eliminates drying or extraction steps. Hematocrit-based correction was applied to estimate plasma MPA concentrations from whole-blood measurements. The method was evaluated in 60 renal transplant recipients with paired venous samples for comparison. Analytical performance was assessed using regression, Bland–Altman analyses, predictive metrics, and stability testing under different storage conditions. Results: Microsampled and venous concentrations were strongly correlated (R² > 0.95). Estimated plasma MPA concentrations derived from whole blood closely approximated plasma concentrations (bias < 5%). Reducing the sample volume from 5.6 µL to 2.8 µL improved precision and increased the success rate of blood collection from 72.9% to 94.0%. All analytes remained stable for up to 72 h at ≤25 °C. Conclusions: This approach enables accurate, simultaneous quantification of multiple immunosuppressants from trace blood volumes. By reducing sampling burden and simplifying logistics, it provides a clinically feasible and patient-centered strategy for precision TDM, supporting broader implementation of limited sampling strategies and expanding applicability to pediatric, home-based, and telemedicine settings. Full article

Vertigoheel is a multicomponent medicinal product for the treatment of vertigo and dizziness, containing Anamirta cocculus, Conium maculatum, Ambra grisea, and Petroleum rectificatum. Although clinical efficacy has been reported, the chemical composition and underlying mechanisms remain incompletely characterized. Here, we applied ultra-high-performance liquid chromatography coupled to time-of-flight mass spectrometry (UHPLC-ToF-MS) to profile extracts of each ingredient and the final formulations. Untargeted analysis revealed 68,622 molecular features, and multivariate statistics highlighted ingredient-specific metabolites. Representative markers included picrotoxinin and picrotin from Anamirta cocculus, coniine and N-methylconiine from Conium maculatum, ambrinol and ambroxide from Ambra grisea, and santalyl phenylacetate and mercaptostearic acid from Petroleum rectificatum. Two compounds per ingredient were further quantified by targeted UHPLC-MS/MS, confirming their presence in drops and tablets at nanogram-per-dose levels with moderate variability across batches. These findings demonstrate that Vertigoheel retains characteristic constituents from its natural sources in all tested formulations. The established protocol enabled absolute quantification of neuroactive molecules such as picrotoxinin and coniine with minimal work-up. This molecular characterization provides new insight into Vertigoheel’s composition and supports further investigation of its mechanism of action using network pharmacology approaches. Full article

Background/Objectives: Per- and polyfluoroalkyl substances (PFAS) are persistent environmental pollutants that accumulate in humans through everyday exposure pathways, raising concern about long-term metabolic health effects in exposed populations. This study aimed to characterize PFAS-associated serum metabolic alterations in a Flemish population residing within a 3 km radius of a PFAS production facility using untargeted metabolomics and lipidomics. Methods: A cohort of 82 adults was stratified into high-exposure (n = 41, median total PFAS = 162.0 ng/mL) and low-exposure (n = 41, median total PFAS = 7.2 ng/mL) groups. Serum metabolic profiling was performed using four liquid chromatography–high-resolution mass spectrometry (LC-HRMS)-based platforms. Univariate and multivariate statistics were conducted to identify metabolites that were differentially expressed between both exposure groups. Results: The analysis revealed 38 altered metabolites. Overall, high PFAS exposure was characterized by upregulation of phosphatidylglycerols (PG), phosphatidylinositols, phosphatidylethanolamines (PE), and triacylglycerols (TG) and downregulation of sphingomyelins, with differential regulation of ceramides, hexosylceramides (HexCer), and phosphatidylcholines. Glycerophospholipid metabolism as well as sphingolipid metabolism pathways were identified as perturbed. Seven lipids and one amino acid showed weak-to-strong correlations (|r|= 0.23–0.61) with PFAS levels. A panel of five metabolites was selected to explore whether they collectively form a potential metabolic signature associated with PFAS exposure. This panel, including L-aspartic acid, PG 18:0_18:2, HexCer (d18:1/14:0), PE 16:0_18:3, and TG 16:0_20:5_22:6, showed moderate discrimination between residents with high and low PFAS levels (area under the curve, AUC = 0.753). Conclusions: This study identifies coordinated lipid metabolic changes associated with PFAS exposure and highlights a small, exploratory metabolite panel that may provide complementary insight into the biological effects of PFAS. Full article

Many organic fungicides are chiral and are used in diverse application areas, including pharmaceuticals, personal care products, agrochemicals, and industry. Fungicides have valuable effects such as preventing fungal infestations and the treatment of diseases, but their generalized use resulted in their occurrence in diverse environmental compartments which is an increasing environmental concern with negative impact on non-target organisms and human health risks. Besides, enantiomers of chiral fungicides may exhibit distinct bioactivity including toxicity and degradation profiles. Therefore, monitoring their enantioselective occurrence in the environment is essential to accurately assess enantioselective (eco)toxicity and establish environmental quality standard levels. This review provides the first comprehensive and critically interpretative assessment of enantioselective chromatographic methods for the determination of fungicides, with a primary focus on azole compounds, in complex environmental matrices (e.g., soil, sediment, plants, earthworms, sewage sludge, water, wastewater) due to their regulatory relevance in the EU Watch Lists, frequent occurrence in environmental matrices, and specific analytical challenges associated with their chiral nature. Other fungicide classes are also included, since other fungicides (either chiral or achiral) reported in the articles retrieved by the literature search, were also evaluated, integrating methodological, analytical and regulatory dimensions. Liquid chromatography was identified as the predominant analytical technique, with polysaccharide-based chiral stationary phases being the most frequently used, while sample preparation was mainly based on solid-phase extraction and QuEChERS-based approaches for complex environmental matrices. Analytical performance parameters were compared to highlight strengths and limitations of reported methods, while environmental monitoring data were reviewed, identifying soil and water as matrices with the highest reported chiral fungicide levels. The urgent need to develop robust enantioselective analytical methods to recognize the distinctive biological and toxicological properties of individual enantiomers are critically discussed. By revealing persistent gaps in enantioselective workflows and regulatory differentiation between enantiomers, it highlights the need for robust analytical approaches and reliable monitoring strategies to contribute for future enantiomer-specific environmental risk assessment frameworks. Full article

In response to the environmental and health concerns associated with high-sodium brine disposal and the sodium content in table olives, this study proposes a novel, sustainable preservation method that completely replaces traditional brine with chitosan solutions. Three food-grade chitosan solutions were formulated using acetic acid, vinegar, and vinegar neutralized with baking soda as alternative liquid media for preserving Kalamata olives. Over a five-month storage period with a one-year endpoint, these solutions were evaluated against a conventional 8% NaCl brine control. The chitosan-based systems demonstrated effective microbial control, maintaining significantly lower total viable counts for most of the storage period, while yeast and mold populations were comparable to or slightly higher than the control over extended storage. Notably, they reduced the medium’s salinity by 75–85%, directly addressing the issue of high sodium content. The chitosan solutions also provided superior pH stability and color maintenance in the olives. A key finding was the distinct nature of the interaction between the olives and the chitosan medium compared to brine: while antioxidant activity within the olive flesh declined, the chitosan solutions themselves exhibited high and stable intrinsic antioxidant capacity (>78%), acting as an active antioxidant reservoir—a dynamic not observed with traditional brine. This research successfully validates chitosan solution as a viable, low-sodium, brine-free preservation medium, offering a novel strategy for sustainable olive processing that valorizes seafood waste and aligns with circular economy principles. Full article

This article delineates the electrical characteristics and usefulness of a plasticized polymer electrolyte (PPE) manufactured from PVDF/PEO blends, using varying weight percentages of the plasticizer ethylene carbonate (EC) in conjunction with a liquid electrolyte. Micro-porous solid-state polymer electrolyte membranes were fabricated using the non-solvent-induced phase separation (NIPS) method. The polymer composite membranes modified by the incorporation of a plasticizer (40 weight percent of EC) exhibited enhanced porosity and absorbed a significant quantity of liquid electrolyte (313.3%). A N₂ adsorption isotherm study indicates an increase in pore volume and pore size resulting from the incorporation of EC in PPE. This resulted in a satisfactory level of ionic conductivity (2.08 mS/cm) at 25 °C, attributable to the inclusion of 40 wt.% EC-based PPE, which has a high dielectric constant and a rapid relaxation time. The AC/40 wt.% EC-based PPE/LTO hybrid supercapacitor exhibits a superior specific capacitance, reduced internal resistance, and enhanced retention values after 10,000 cycles in comparison to the AC/10 wt.% EC-based PPE/LTO hybrid supercapacitor. Full article

In recent years, autonomous liquid pouring systems have gained more relevance, with applications from daily service tasks to complex industrial operations. While seemingly simple for humans, this task poses major challenges for automated systems, as it requires precise control and adaptation to varying container geometries, liquid properties, and environmental conditions. This review examines the state-of-the-art on liquid pouring through five research questions: (1) What are the characteristics of the liquids used in the experiments? (2) What are the characteristics of the containers used in the experiments and how do they affect the performance of the pouring tasks? (3) What techniques are used to control liquid pouring (i.e., to control the robotic arm or device)? (4) What metrics are used to assess the methods for pouring liquid? (5) What devices are used to measure poured volume? This scoping review follows the Arksey and O’Malley framework, and uses the PRISMA-ScR protocol to filter the articles. A total of 285 studies published between 2018 and 2025 were screened from IEEE Xplore, SpringerLink, ScienceDirect, Web of Science, and EBSCOhost, of which 23 met the inclusion criteria. Results showed that the most widely used methods for autonomous liquid pouring were classical control methods—PID, PD (30.4% of the studies). Conversely, the least widely used methods for autonomous liquid pouring were learning, imitation learning, and probabilistic models (15% of the studies). Full article

Early detection of precancerous cervical lesions is critical for improving patient management and clinical outcomes. Hyperspectral imaging has emerged as a promising non-invasive, label-free imaging modality for rapid medical diagnosis. This work presents the development of a liquid-crystal-tunable-filter-based hyperspectral colposcopy system covering the visible and near-infrared spectral ranges. The proposed system integrates two tunable filters into an existing Optomic OP-C5 clinical colposcope, enabling hyperspectral acquisition from 460 to 1000 nm with 130 spectral bands at 5 nm resolution using a panchromatic camera. Two alternative acquisition strategies were investigated: (i) filtering the light received by the system, or (ii) filtering the light emitted toward the sample. In addition, wavelength-dependent exposure control was studied to compensate for reduced system sensitivity and improve the signal-to-noise ratio in low-efficiency spectral regions. The system was benchmarked against a previous custom hyperspectral implementation based on a commercial camera. The comparative analysis highlights the advantages and limitations of both approaches, demonstrating the proposed system’s suitability for integration into clinical workflows and its potential for early detection of precancerous cervical lesions during routine colposcopic examinations. Full article