Search Results (472)

Regenerative endodontic procedures (REPs) are a promising treatment for immature teeth with pulpal necrosis. However, the outcomes remain unpredictable, partly due to scaffold limitations. Beta-glucan (BG), a bioactive polysaccharide with regenerative properties, may enhance scaffold performance. This study aimed to fabricate BG-coated polyvinylpyrrolidone/cellulose acetate (PVP/CA) electrospun scaffolds and evaluate their physicochemical properties and cell attachment. Electrospun scaffolds were fabricated by electrospinning a 10% w/v PVP/CA (70:30) solution in acetone and N,N-dimethylacetamide (2:1) (PC). BG (8% w/v in 1 M NaOH) was electrosprayed onto the scaffold at 0.1, 0.2, and 0.4 mL volumes, generating PC-BG01, PC-BG02, and PC-BG04, respectively. Scaffold characterization included SEM, FTIR, BG enzymatic assay, water absorbance, degradation, and cell adhesion assays. SEM images of the scaffolds exhibited smooth cylindrical fibers (547.3–585.9 nm diameter) with high porosity (42.37–49.91%). BG particles were confirmed by elemental analysis and BG enzymatic assay. At 28 days, the PC group showed significant fiber diameter and porosity reduction. BG particle degradation was observed at 14 and 28 days. Notably, BG-coated scaffolds significantly enhanced initial apical papilla cell adhesion at 1 and 24 h. These findings highlight the potential of BG-coated scaffolds as bioactive scaffolds for REPs. Full article

Beta-glucans (β-glucans), polysaccharides found in cereals and fungi, are recognized for their prebiotic and potential anti-cancer activities, particularly in the colorectal area. This study aims to optimize the production of β-glucan through the solid-state fermentation of germinated Riceberry rice with Pleurotus ostreatus and evaluate the bioactivities of the resulting extract. The crude β-glucan extract, obtained with a recovery rate of 54.95% and 79.98% purity, demonstrated an effective extraction process, as confirmed by thermogravimetric analysis (TGA). Fourier-transform infrared spectroscopy (FTIR) analysis verified the presence of β-1,3/1,6-glycosidic linkages, characteristic of the bioactive β-glucans found in yeast and mushrooms. The biological assessment demonstrated the extract’s functional properties. At a concentration of 1 mg/mL, the crude β-glucan extract significantly promoted the growth of probiotics Lacticaseibacillus rhamnosus and Bacillus coagulans, exhibiting high Prebiotic Index (PI) values of 6.36 ± 0.72 and 115.70 ± 10.19, respectively, with PI values indicating strong prebiotic potential. For comparison, the standard prebiotic inulin yielded PI values of 0.41 ± 0.09 and 90.53 ± 2.28 for the same respective bacteria, highlighting the superior performance of the fungal-fermented β-glucan. Furthermore, the extract displayed efficacy in inhibiting colon cancer cells in preliminary in vitro tests. It reduced the viability of the SW480 colorectal cancer cell line by 66.23% and induced cell death in 27.94 ± 0.93% of the cells after 48 h of treatment, performing comparably to a commercial yeast β-glucan standard. Crucially, the extract showed no significant cytotoxicity toward the normal human colon cell line, CCD-841 CoN. These findings highlight the promising method of fungal solid-state fermentation on germinated Riceberry rice in the production of high-purity, bioactive β-glucans for use in functional foods. Full article

Accurate and consistent measurements of geometric features such as fruit length and width are essential for the quality assessment of Namdokmai Sithong mangoes. Traditional manual methods are labor-intensive and prone to inconsistency. This study presented an automated system for geometric feature extraction of Namdokmai Sithong mangoes using a YOLOv8-based object detection model. The framework automated the process of measuring key morphological traits, specifically fruit length and width, to improve accuracy and consistency in quality assessment. The model identified an anatomically meaningful reference point for guiding axis-based measurements by detecting the mango and its peduncle. HSV-based image segmentation combined with morphological operations and edge detection effectively calculated the major (length) and minor (top and bottom width) axes of the fruit. Evaluation on 30 test images showed that the proposed method achieved error rates below 5% in over 90% of samples, with average deviations for fruit length typically under 1.5%. The system was implemented as a standalone Python (version 3.12.8) application and demonstrated high potential for use in real-time, automated fruit grading scenarios. Full article

With the global population reaching 10 billion in 25 years, food production must increase 70% while addressing sustainability concerns. This review uniquely integrates advanced processing technologies—including precision fermentation, AI-driven optimization, and 3D printing—with comprehensive analysis of nutritional quality and health outcomes of plant-based protein supplements (PBPSs). Common sources include legumes, cereals, and nuts/seeds, each with amino acid profiles requiring strategic protein complementation. Advanced processing technologies including high-pressure processing, ultrasound-assisted extraction, pulsed electric field, precision fermentation, and AI-driven optimization enhance protein digestibility, solubility, and functional properties while reducing antinutritional factors. PBPSs demonstrate comparable muscle protein synthesis to animal proteins while providing superior cardiovascular, metabolic, and gut health benefits due to bioactive compounds, fibers, and antioxidants. Integrating advanced processing with traditional methods presents opportunities to develop high-quality, sustainable protein supplements meeting global demands while promoting human health and environmental sustainability. Full article

In this study, zinc oxide nanoparticles (ZnO NPs) were synthesized via a green chemistry approach using aqueous extract of Camellia sinensis var. assamica (Assam green tea) as a bioreductant and stabilizing agent. Phytochemical analysis of the extract revealed high levels of phenolics (338.57 ± 3.90 mg GAE/mL) and flavonoids (123.92 ± 1.34 µg QE/mL), along with strong antioxidant and reducing activity, supporting its efficacy in nanoparticle formation. ZnO NPs were synthesized at various extract concentrations, with 25% yielding optimal characteristics based on UV–Vis spectrophotometry (λ_Max ≈ 390–410 nm). Structural characterization using XRD confirmed the hexagonal wurtzite phase, and SAXS indicated particle sizes of 58–60 nm. FE-SEM analysis showed semi-spherical agglomerated particles ranging from 74 to 76 nm, while EDX verified the elemental purity of Zn and O. FT-IR spectroscopy confirmed the presence of Zn–O stretching and phytochemical residues on the nanoparticle surface. Stability studies over four weeks revealed red shifts in absorbance and reduced peak intensity at ambient and elevated temperatures, suggesting nanoparticle agglomeration. Antimicrobial assays demonstrated strong antifungal activity of the ZnO NP solution against Candida albicans and, upon concentration, significant antibacterial activity against Streptococcus mutans. The synthesized ZnO NPs exhibit promising potential as eco-friendly antimicrobial agents, particularly for applications in oral healthcare. Full article

Background: “Long COVID” refers to a condition in which individuals continue to experience persistent signs and symptoms even after recovering from the initial COVID-19 infection. Signs and symptoms that persist can affect multiple organs in the body. Vitamin D is an essential nutrient that plays a crucial role, particularly in the immune system, and may be linked to the development of long COVID. Objective: The study aimed to investigate the association between vitamin D levels and the prevalence of long COVID signs and symptoms in COVID-19 patients. Materials and Methods: The study enrolled 170 COVID-19 patients with mild signs and symptoms and confirmed COVID-Ag or RT-PCR tests. The subjects were aged 18–59 years. All patients had 25(OH)D levels measured within 60 days of COVID-19 diagnosis and had been followed for at least 3 months post-infection. Data collected included demographic characteristics, serum 25(OH)D levels, and self-reported long COVID signs and symptoms questionnaire responses. Results: The study results indicated a female-to-male ratio of 1.1:1 and a mean age of 45.87 ± 8.65 years; of these, 62.4% received three doses of the COVID-19 vaccine, and 64.7% developed long COVID. The most prevalent signs and symptoms were respiratory (55.3%), skin (50.6%), and general (39.4%). The median blood vitamin D level was 22.96 ng/mL, with 41.2% of subjects having insufficient levels, 30.6% having deficient levels, and 28.2% having sufficient levels. Patients with long COVID had significantly lower vitamin D levels compared with those without long COVID (21.52 ng/mL vs. 25.46 ng/mL; p < 0.05). Multivariable analysis found that vitamin D deficiency was significantly associated with overall long COVID signs and symptoms (Adj. OR, 5.80 [95% CI: 2.10, 16.13]). Additionally, vitamin D deficiency significantly increased the number of long COVID systemic signs and symptoms (Adj. IRR, 3.30 [2.12, 5.12]). Conclusion: Assessing and maintaining vitamin D levels, vitamin D supplementation, and sunlight exposure in COVID-19 patients can reduce the risk and severity of long-term COVID-19 signs and symptoms. Full article

Rice bran, a fiber-rich source of bioactive compounds, has gained attention for its potential health benefits, yet its effects on metabolic syndrome (MetS) remain unclear. This study aimed to evaluate the impact of rice bran consumption on anthropometric measures, blood pressure, glycemic control, and lipid profiles in individuals with MetS. A systematic search of PubMed/Medline, Scopus, Cochrane Library, and Embase was conducted up to 30 January 2025, to identify randomized controlled trials (RCTs) assessing rice bran supplementation. Twenty-six RCTs involving 1255 participants (642 in rice bran groups, 613 in controls) were included in the meta-analysis. Weighted mean differences (WMDs) with corresponding p values were calculated. Rice bran significantly reduced systolic blood pressure (WMD: −3.336 mmHg; p = 0.0006), diastolic blood pressure (WMD: −3.145 mmHg; p = 0.015), and HbA1c (WMD: −0.199%; p = 0.003). Lipid profiles improved, with reductions in total cholesterol (WMD: −13.594 mg/dL; p < 0.0001) and LDL cholesterol (WMD: −14.580 mg/dL; p < 0.0001), and an increase in HDL cholesterol (WMD: 3.074 mg/dL; p = 0.007). These findings suggest rice bran supplementation may be a promising natural dietary strategy for managing and preventing MetS. Full article

Food safety management in rural ethnic schools remains underdeveloped in Northern Thailand. This study evaluates such systems in primary schools using the Plan Do Check Act (PDCA) framework, which can serve as a scalable and culturally sensitive tool to strengthen food safety systems in multi-ethnic school environments. Multi-criteria decision analysis was employed across nine schools representing the Hmong, Lisu, Lahu, Akha, Kamoo, Haw, Mien, Karen, and Lau communities. Data collection included (1) PDCA-based rubric scoring validated by three experts; (2) in-depth interviews and field observations; (3) food and water contamination testing; and (4) microbiological analysis of chefs’ hands and utensils (detected or non-detected). The results showed that only 45% of the schools involved had third-party food safety monitoring, and 45% lacked systems to gather student feedback. None could independently assess chlorine or food residue. Escherichia coli contamination was found on chefs’ hands (44%), utensils (56%), and drinking water (33%). Schools C (Lahu) and F (Haw) had the highest and lowest PDCA scores, respectively. Therefore, schools should (1) train employees, (2) work with a third party responsible for monitoring food safety, and (3) establish raw material and contamination self-assessment processes to improve food safety. Implementing PDCA to improve food safety in neglected schools is essential. Full article

Dementia and heart failure are growing global health issues, exacerbated by aging populations and disparities in care access. Diagnosing these conditions often requires advanced equipment or tests with limited availability. A reliable tool distinguishing between the two conditions is essential, enabling more accurate diagnoses and reducing misclassifications and inappropriate referrals. This study proposes a novel measurement, the optimized weighted objective distance (OWOD), a modified version of the weighted objective distance, for the classification of dementia and heart failure. The OWOD is designed to enhance model generalization through a data-driven approach. By enhancing objective class generalization, applying multi-feature distance normalization, and identifying the most significant features for classification—together with newly integrated blood biomarker features—the OWOD could strengthen the classification of dementia and heart failure. A combination of risk factors and proposed blood biomarkers (derived from 10,000 electronic health records at Chiang Rai Prachanukroh Hospital, Chiang Rai, Thailand), comprising 20 features, demonstrated the best OWOD classification performance. For model evaluation, the proposed OWOD-based classification method attained an accuracy of 95.45%, a precision of 96.14%, a recall of 94.70%, an F1-score of 95.42%, and an area under the receiver operating characteristic curve of 97.10%, surpassing the results obtained using other machine learning-based classification models (gradient boosting, decision tree, neural network, and support vector machine). Full article

This study developed hydrogels from durian rind-derived carboxymethyl cellulose (CMC_d) blended with poly(vinyl) alcohol (PVA) for biomedical applications. The influence of NaOH concentration (10–60% w/v) on the degree of substitution (DS) of CMC_d and the crosslinking properties of the resulting hydrogels was examined. Durian rind, a biodegradable and renewable resource, was transformed into CMC_d with DS values ranging from 0.17 to 0.94. The highest yield (230.96%) was achieved using 30% NaOH (CMC_d-30). This CMC_d-30 was combined with PVA and crosslinked using citric acid to form a hydrogel with maximum crosslinking efficiency (86.16%). The resulting CMC_d-30/PVA hydrogel exhibited a high swelling ratio (125.54%), reflecting its superior water absorption and functional group availability—key traits for biomedical use. Methylene blue (MB) release from the hydrogel extended up to 1440 min, confirming its drug delivery potential. Overall, the CMC_d-30/PVA hydrogel demonstrated promising biocompatibility potential and performance, making it a promising candidate for wound dressings and controlled drug delivery systems. This work highlights the potential of agricultural waste valorization in developing sustainable and efficient biomaterials for pharmaceutical and medical applications. Full article

Objective: To evaluate the feasibility and effectiveness of wrist-worn wearable devices combined with machine learning (ML) approaches for detecting a diverse array of seizure types beyond generalized tonic–clonic (GTC), including focal, generalized, and subclinical seizures. Materials and Methods: Twenty-eight patients undergoing inpatient video-EEG monitoring at Mayo Clinic were concurrently monitored using Empatica E4 wrist-worn devices. These devices captured accelerometry, blood volume pulse, electrodermal activity, skin temperature, and heart rate. Seizures were annotated by neurologists. The data were preprocessed to experiment with various segment lengths (10 s and 60 s) and multiple feature sets. Three ML strategies, XGBoost, deep learning models (LSTM, CNN, Transformer), and ROCKET, were evaluated using leave-one-patient-out cross-validation. Performance was assessed using area under the receiver operating characteristic curve (AUROC), seizure-wise recall (SW-Recall), and false alarms per hour (FA/h). Results: Detection performance varied by seizure type and model. GTC seizures were detected most reliably (AUROC = 0.86, SW-Recall = 0.81, FA/h = 3.03). Hyperkinetic and tonic seizures showed high SW-Recall but also high FA/h. Subclinical and aware-dyscognitive seizures exhibited the lowest SW-Recall and highest FA/h. MultiROCKET and XGBoost performed best overall, though no single model was optimal for all seizure types. Longer segments (60 s) generally reduced FA/h. Feature set effectiveness varied, with multi-biosignal sets improving performance across seizure types. Conclusions: Wrist-worn wearables combined with ML can extend seizure detection beyond GTC seizures, though performance remains limited for non-motor types. Optimizing model selection, feature sets, and segment lengths, and minimizing false alarms, are key to clinical utility and real-world adoption. Full article

This study examines the influence of economic growth, energy consumption, a shadow economy, and foreign direct investment (FDI) on the ecological footprint in ASEAN countries. The analysis covers a panel of nine member states—Brunei, Cambodia, Indonesia, Lao PDR, Malaysia, the Philippines, Singapore, Thailand, and Vietnam—over the period from 1993 to 2017 due to data availability. To ensure robustness, various panel econometric techniques were employed, including cross-sectional dependence, panel unit root, and cointegration tests, as well as estimation methods such as Driscoll–Kraay standard errors, feasible generalized least squares (FGLS), and panel-corrected standard errors (PCSE). The results do not support an inverted U-shaped Environmental Kuznets Curve (EKC) between economic growth and ecological footprint in the ASEAN countries. Moreover, the findings consistently show that energy consumption, the size of the shadow economy, and FDI exert a statistically significant and positive impact on the ecological footprint towards the Driscoll–Kraay standard errors, FGLSs, and PCSE estimators. For policy recommendations, a country’s pursuit of economic growth should be aligned with a higher degree of environmental sustainability by strategically reducing energy consumption, curbing the shadow economy, and managing foreign direct investment responsibly. Full article

The increasing prevalence of nanoplastics (NPs) in food and their potential implications for human health have become a growing concern in scientific and public health discourse. Using the Scopus database, this bibliometric analysis provides a comprehensive overview of global research trends on NPs in food from 2015 to 2024. Results show a significant increase in publications and citations post-2019. China is the top-ranked country in terms of the number of publications, citations, collaborations, affiliations, and funding sponsors. The most impactful documents were review articles, indicating that this research field is currently in a synthesis stage. The most productive source was Science of the Total Environment, with 21 articles, while 9 of the top 10 most productive journals were published by Elsevier, highlighting the field’s concentration in high-impact outlets. The most prolific authors were Wang, J., and Li, Y; Li, Y. was also the author with the most citation influence, with a h-index of 9. Keyword co-occurrence analysis showed seven thematic clusters formed from 50 individual keywords; the dominant terms were microplastics, NPs, and human health. These findings illustrate an evolving and interdisciplinary research field centered on evaluating the risks and detection of NPs in food and their implications for public health. Full article

Background: Large porous particles (LPPs) offer significant potential in drug delivery due to their porous structure and suitable particle size and shape, which can improve powder dispersibility and control drug release. Methods: In this study, sustained-release large porous microparticles of mannitol, PVA, and diclofenac sodium (MPDs) were developed using a spray drying technique. The influence of PVA co-spray drying and its concentration (0–40%) on the characteristics of the spray-dried particles was investigated. Results: Co-spray drying with PVA enhanced particle morphology, producing MPDs with a spherical shape and smooth surface, which minimized particle adhesion. This improvement correlated with a low Carr’s Index value (17.56%), indicating favorable particle dispersibility and aerosol performance. The large geometric diameter (>5 μm) of the MPDs, coupled with their low bulk density (<0.1 g/cm³), suggested potential for inhalation use. FTIR, XRD, and DSC analyses revealed that PVA altered the polymorphic form of mannitol, with the MPDs exhibiting a mixture of the α and δ forms. In vitro dissolution tests demonstrated that PVA co-spray drying effectively prolonged drug release, with the formulation containing 40% PVA (MPD-4) showing an optimal release profile. The release kinetics followed first-order Higuchi models, suggesting drug release occurred through a matrix diffusion mechanism facilitated by the porous structure. Conclusions: These findings demonstrate the feasibility of engineering large porous microparticles with tailored release characteristics and physicochemical properties suitable for further development in inhalable or other controlled-release dosage forms. Full article

Moringa oleifera seeds are rich in protein, yet their potential as plant-based protein in food remains underutilized. This study evaluated the extraction efficiency, composition, and techno-functional properties of moringa seed protein isolate (MSPI) using enzyme-assisted (EAE), ultrasonic-assisted (UAE), and microwave-assisted extraction (MAE) methods, compared to conventional alkaline extraction (CE). EAE was performed with viscozyme (2%, pH 8, 50 °C, 2 h) and papain (1%, pH 7, 50 °C, 1 h), UAE at 40% amplitude (20 kHz, 20 min), and MAE at 800 W (50 °C, 90 s). All methods significantly improved extraction yield (14.60–30.08%), protein content (80.47–86.61%), solubility (40.78–60.09% at pH 10), and techno-functional properties over CE. However, MAE slightly reduced solubility. Phytates (0.83–0.49 g/100 g) and trypsin inhibitor activity significantly decreased (4.48–1.92 U/mg). In vitro protein digestibility improved (p < 0.05) across all samples (88.11–93.81%), with hydrolysis patterns supporting the enhanced digestibility. Structural modifications were indicated by altered surface hydrophobicity and thermal properties. SDS-PAGE showed consistent major protein bands at 17, 25, and 48–63 kDa, with EAE showing reduced intensity at ~63 kDa. While UAE and MAE achieved high protein yield and purity, EAE offered the best balance of functionality and digestibility, making it the most promising method for producing high-quality MSPI. These findings are relevant for guiding the selection of extraction methods for MSPI recovery for food applications. Full article