Search Results (10,993)

To investigate the effects of red–blue–green light ratios on the growth, photosynthesis, nutritional quality, and mineral nutrient accumulation of hydroponic lettuce, a controlled experiment was conducted using the deep flow technique (DFT) system. Four light treatments were applied under a constant photosynthetically active radiation of 350 μmol·m⁻²·s⁻¹: the red–blue light control (CK, R:B = 60:40) and 10% (T1), 20% (T2), and 40% (T3) green light substitution treatments. Growth, photosynthetic characteristics, quality and nutrient indexes were assessed. The results showed that 40% green light (T3) significantly enhanced biomass production, increasing the fresh and dry weights by 33.16% and 21.40%, respectively, compared with the CK (control). In addition, the soluble sugar and vitamin C contents increased by 61.79% and 13.43%, respectively, while the nitrate content decreased by 16.31%. T1 (10% green light) was the most effective at promoting antioxidant compound accumulation, resulting in 148.61% and 81.24% increases in the flavonoid and polyphenol contents. All green light treatments increased the net photosynthetic rate and transpiration rate while decreasing the intercellular CO₂ concentration and stomatal conductance. Green light supplements generally promoted phosphorus and magnesium uptake, and T3 remarkably enhanced the total accumulation of major mineral elements in shoots. In conclusion, 40% green light substitution optimizes both the biomass and nutritional quality of lettuce, whereas 10% substitution significantly promotes antioxidant accumulation. These findings provide valuable insights for optimizing light spectra in controlled environments for hydroponic lettuce production. Full article

The use of different light qualities during the spreading stage can influence the flavor of green tea. In this study, freshly harvested leaves were exposed to red (GRL), yellow (GYL), blue (GBL), or natural light (GCK, as the control) throughout spreading. The resulting tea quality was subsequently evaluated through sensory assessment, combined with HS-SPME-GC-MS and UPLC-MS/MS analyses. The results showed that blue light significantly increased free amino acid content and promoted the accumulation of compounds associated with freshness. Yellow light treatment enhanced aroma substances, with 2(5H)-furanone, 5-ethyl-3-hydroxy-4-methyl, benzenemethanethiol, and 3-buten-2-one, 4-(2,6,6-trimethyl-1-cyclohexen-1-yl) detected at the highest levels in this group, contributing to the highest sensory aroma score. In contrast, the GRL group exhibited the lowest levels of aroma compounds, although its sensory score remained relatively high. The GCK group exhibited more pronounced chestnut-like aroma characteristics but received the lowest sensory score. Overall, blue light promotes a fresh and rich taste, whereas yellow light contributes more substantially to the development of aromatic characteristics. These findings indicate that adjusting light quality during the spreading stage can improve the flavor quality, providing a potential strategy for optimizing green tea processing practices. Full article

The Argentine ant, Linepithema humile (Mayr), is an important invasive pest in natural, agricultural, and urban ecosystems worldwide. Boric acid and thiamethoxam have been used as bait toxicants for Argentine ant management. Most of the toxicological investigations on these toxicants have focused on the mortality of the ants. However, their behavioral effects on target ants remain poorly understood. By focusing on the in-nest aggregation and out-nest activity level, the current study investigated the behavioral effects of low concentrations of boric acid and thiamethoxam on Argentine ants. Boric acid increased in-nest aggregation and reduced activity in the foraging area. In contrast, thiamethoxam treatment caused the ants to leave the nest and continue roaming in the foraging area. Individual behavior assay showed that overall mobility of ants was not impacted by any of the treatments, while thiamethoxam treatment caused ants to spend more time in the lighted area. Distinct behavioral impacts of these toxicants might be due to differences in their unique modes of actions. Understanding these behavioral effects of bait toxicants would help to optimize management protocols for the Argentine ant. Full article

Vascular smooth muscle cells (VSMCs), the contractile cells in the tunica media of blood vessels, maintain vascular tone. The proliferation of VSMCs is an important feature of vascular remodeling that contributes to the regulation of blood pressure. Autophagy, an intracellular self-degrading process that delivers cytoplasmic constituents to lysosomes, plays a vital role in VSMC proliferation. This is regulated by the dopaminergic and renin–angiotensin systems but their interplay in their regulation of autophagy in VSMCs is not well-understood. In rat VSMCs, fenoldopam (Fen), a dopamine D1-like receptor agonist, increased autophagy, as determined by the increase in the protein expressions of microtubule-associated protein 1 light chain (LC)3-II and beclin-1 (BECN1), in a time- and concentration-dependent manner. Conversely, angiotensin II (Ang II), the endogenous Ang II type 1 receptor (AT₁R) agonist, decreased the protein expression of LC3-II and BECN1, also in a time- and concentration-dependent manner. The production of cyclic adenosine monophosphate (cAMP) and autophagic LC3-II puncta in VSMCs were increased by Fen and decreased by Ang II. Pre-treatment of VSMCs with Rp-cAMPS, a protein kinase A inhibitor, prevented the Fen-mediated increase and the Ang II-mediated decrease in LC3-II protein expression. Fen decreased, whereas Ang II increased the phosphorylation of P70S6K, a direct downstream mammalian target of rapamycin (mTOR). The inhibitory effect of Fen and stimulatory effect of Ang II on P70S6K phosphorylation were prevented by Rp-cAMPS. Ang II also decreased the Fen-mediated increase in cAMP production, while Fen attenuated the Ang II-mediated increase in cell proliferation, a response that occurs downstream of autophagy. Moreover, Ang II prevented the Fen-mediated inhibition of cell proliferation, an effect that was blocked by losartan, an AT₁R antagonist. These results demonstrate that Fen and Ang II counter-regulate autophagy and proliferation of VSMCs via the mTOR pathway, which is cAMP-dependent. Full article

B-BOX (BBX) transcription factors regulate plant growth and drought tolerance, whereas comprehensive characterization of BBX gene families in gymnosperms remains scarce. We identified 13 TgBBXs in Torreya grandis at the genome-wide level, and phylogenetic analysis grouped them into five subgroups consistent with the conserved classification of plant BBX members. Promoter analysis revealed abundant light hormone and stress related cis-elements, and the TgBBXs displayed distinct expression patterns across various tissues and reproductive developmental stages. PEG-triggered drought decreased leaf chlorophyll, accompanied by increased root H₂O₂, APX and POD levels. Transcriptome data showed obvious tissue-specific expression and organ-dependent drought responses; most of TgBBX5–TgBBX12 were continuously upregulated in leaves under PEG treatment, whereas several members declined in roots. WGCNA further indicated that the MEturquoise module, which contained most TgBBXs, was closely associated with chlorophyll accumulation and antioxidant responses. Among these genes, TgBBX2, TgBBX7, and TgBBX13 with module membership over 0.9 are putative hub genes, and their associated genes enrich in photosynthesis and antioxidant pathways. This study systematically characterized the BBX family in T. grandis for the first time and identified key drought-responsive genes, providing valuable resources for drought-tolerant molecular breeding of this economically important gymnosperm. Full article

ZnO nanoparticles (ZnO NPs) have been widely investigated in the biomedical field, particularly their anti-tumor efficacy. The potential of ZnO hierarchical structures (ZnO HSs) in tumor cell eradication remains largely unexplored in prostate cancer (PCa) and thyroid cancer (TC). In this study, we successfully synthesized and characterized ZnO NPs and ZnO HSs using green tea extract (Camellia sinensis) as a reducing agent and conjugation of FIT-C tracking for both ZnO NPs and ZnO HSs. UV-vis spectrophotometry, Dynamic Light Scattering (DLS), FTIR, XDR, SEM and TEM revealed significant differences in morphology between ZnO NPs and ZnO HSs. Our in vitro experiments demonstrated that SNPs were more effective on aggressive PCa and TC cell lines compared to ZnO NPs. Notably, ZnO HSs exhibited enhanced cytotoxicity in 3D tumor cell spheroid models. Mechanistically, ZnO HSs induced apoptosis through cholesterol-mediated reactive oxygen species (ROS) generation. Our in vivo study revealed no histopathological changes in major organs (liver, kidneys, spleen and lungs), emphasizing the safe administration of both ZnO NPs and ZnO HSs. Our study synthesized FITC-conjugated non-spherical ZnO nanoparticles, providing evidence for a novel treatment strategy for hormone-related cancers and prospective fluorescent-guided nanomedicine. Full article

Sorrel (Rumex acetosa L.) is a promising leafy vegetable for controlled-environment production, but integrated information on its growth, structural quality, optical traits, and photochemical responses to light-emitting diode (LED) spectra remains limited. To our knowledge, this study provides the first systematic comparison of five contrasting LED spectral conditions in sorrel using morphological, biomass, structural-quality, reflectance-based, and chlorophyll-fluorescence indicators. Plants were grown for six weeks under red light (RL), green light (GL), blue light (BL), purple-phyto light (PL) containing red, blue, and far-red components, or white light (WL) at a color temperature of 6500 K. Sorrel responses differed markedly among spectral environments and could not be explained by a single growth parameter. WL produced the highest mean shoot dry weight (505 mg), which was approximately 30.5% higher than that under PL (387 mg), although the difference between the two treatments was not statistically significant. WL also produced 46.5% greater leaf area than PL (50.1 versus 34.2 cm²) and showed the highest mean PI_ABS value (4.00). In contrast, PL showed the highest mean root dry weight (25.5 mg) and Dickson quality index (9.4), together with a relatively low shoot-to-root ratio (17.7) and top-heavy index (20.0), indicating a less shoot-biased structural pattern. BL restricted growth and leaf development and was associated with lower soil plant analysis development units, normalized difference vegetation index, photochemical reflectance index, F_v/F_m, and PI_ABS, indicating that BL alone may have limited suitability for sorrel cultivation under the present experimental conditions. Under the tested conditions, WL appeared more suitable for yield-oriented production, whereas PL may be considered when shoot–root structural balance is prioritized. Full article

Psoriasis is characterized by the rapid proliferation of keratinocytes, leading to erythematous plaques with silvery scales, skin pain, and impaired quality of life. Photodynamic therapy (PDT) has emerged as a promising treatment modality for various skin disorders, including psoriasis. Curcumin, a natural photosensitizer, possesses potent anti-inflammatory and antioxidant properties. In this study, we investigated the anti-inflammatory potential of synthetic curcuminoids combined with blue-light-mediated PDT for psoriasis treatment using human keratinocyte (HaCaT) cells. MTT assays demonstrated that the synthetic curcuminoids (1E,6E)-1,7-bis(5-methylthiophen-2-yl)hepta-1,6-diene-3,5-dione (No. 11) and (1E,6E)-1,7-di(thiophen-2-yl)hepta-1,6-diene-3,5-dione (No. 12) exhibited minimal cytotoxicity toward HaCaT cells. Upon ultraviolet–visible light irradiation, curcuminoid-treated cells generated intracellular reactive oxygen species, confirming the photodynamic activity induced by blue light exposure. Treatment with synthetic curcuminoids significantly suppressed the secretion of pro-inflammatory cytokines IL-17A/F and IL-8 in imiquimod-stimulated HaCaT cells, a commonly used psoriasis-like inflammatory model, indicating notable anti-inflammatory effects. Western blot analysis further revealed an increased Bax/Bcl-2 ratio in cells treated with synthetic curcuminoids No. 11 or No. 12 under photodynamic irradiation, suggesting the induction of apoptosis. Synthetic curcuminoids combined with blue-light PDT may represent a promising and cost-effective strategy for psoriasis. Full article

Epidermal growth factor receptor (EGFR)-targeted therapy represents one of the earliest and most established examples of precision oncology in non-small-cell lung cancer (NSCLC), with more than 10 approved agents, including tyrosine kinase inhibitors, bispecific antibodies and antibody–drug conjugates. Over the past two decades, the diagnostic and therapeutic landscape of EGFR-mutant NSCLC has evolved from empiric treatment to mutation subtype-guided strategies, from advanced disease to earlier-stage interventions, and from monotherapy to rational combination regimens. Somatic EGFR mutations remain key predictive biomarkers guiding treatment selection, therapeutic intensification, resistance mechanism-directed treatment, and disease monitoring through plasma circulating tumor DNA burden. In parallel, germline EGFR alterations are increasingly recognized as contributors to inherited lung cancer susceptibility, particularly among never-smokers and familial clusters. Germline EGFR T790M is the best-characterized pathogenic variant, creating a permissive background for multifocal lung nodules and lung adenocarcinoma development, often following acquisition of a second somatic EGFR driver mutation. Recent familial, regional, and paired tumor–normal sequencing studies have expanded the evidence beyond isolated case reports and support an emerging hereditary lung cancer predisposition phenotype. Clinically, germline EGFR should be suspected when EGFR T790M is detected prior to TKI exposure, particularly at variant allele fractions near 50%, or in patients with multifocal ground-glass nodules, multiple primary lung adenocarcinomas, early-onset disease, never/light smoking history, or family history of lung cancer. Confirmation requires germline testing and genetic counseling. This review highlights the current knowledge, recent advances, and future directions in somatic and germline EGFR-mutant NSCLC, emphasizing translational relevance for clinicians and researchers. Full article

This study evaluated the effects of different LED spectral irradiance ratios on the growth, secondary metabolites, and essential oil characteristics of Ocimum × africanum Lour. cultivated for four weeks under controlled conditions. Four LED lighting treatments with different red, blue, green, ultraviolet-A, and far-red light ratios, and a treatment in greenhouse as low-light control were used. The constant 16 h photoperiod and light intensity of 220 µmol·m⁻²·s⁻¹ were maintained. The F2 treatment (UV-A:B:R:Fr = 6.60:45.15:29.23:19.02) promoted the greatest plant height (76.62 cm), and chlorophyll a (7.41 mg/100 g, FW), chlorophyll b (4.73 mg/100 g, FW), and total phenolic (25.78 mg/g, FW) concentrations. F1 treatment (B:G:R:Fr = 17.14:29.8:47.4:5.66) produced significantly higher (p < 0.01) biomass (8.3 ton/ha, FW), oil yield (10.89 L/ha), and carotenoid (3.74 mg/100 g, FW) than the others. Essential oils contained 12–15 compounds, dominated by neral (27.5–37.3%), geranial (41.1–49.9%), and (E)-β-caryophyllene (2.4–9.9%), while the highest contents of oil (0.83%, DW), anthocyanin (16.50 mg/100 g, FW), and total flavonoid (14.17 mg/g, FW) were obtained under F4 (B:G:R:Fr = 13.85:43.50:39.30:3.35). These findings demonstrate that optimized LED spectra can effectively improve both productivity and phytochemical quality in O. africanum through regulating both primary and secondary metabolism. Full article

This study presents a comprehensive and integrated characterization of solid and liquid residues generated during industrial glass-cutting operations, highlighting the novelty of treating glass-cutting sludge and process wastewater as compositionally linked outputs of the same industrial comminution process. The research examined the morphology, elemental composition, and selected physicochemical properties of sludge and wastewater-derived particulates to assess material-recovery potential and provide a basis for further evaluation of water reuse. Samples were analyzed using particle morphology assessment, scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy (SEM-EDS), Fourier-transform infrared spectroscopy with attenuated total reflectance (FTIR-ATR), dynamic light scattering (DLS), and pH measurements. The results showed that the solid fraction consisted predominantly of soda–lime–silica glass constituents, with oxygen, silicon, sodium, calcium, and magnesium as the main components, while potentially problematic contaminants remained at low levels. Although isolated particles enriched in Fe, Cu, Ni, Sn, La, or Ce were detected, their occurrence was limited and did not significantly affect the average particulate composition observed within the SEM-EDS dataset. This is particularly important for coated glass, where functional coatings contribute negligibly to the bulk glass matrix. From a material-recovery perspective, the sludge should be regarded as a promising glass-derived mineral residue requiring further route-specific qualification rather than as waste intended solely for disposal. However, this study does not demonstrate suitability for any specific reuse route, and additional validation is needed regarding compositional consistency, variability, moisture and organic content, leaching behavior, and route-specific acceptance criteria. For process wastewater, contamination was governed mainly by suspended glass-derived solids, indicating that solid–liquid separation is the key treatment step. However, the present dataset is insufficient to confirm the suitability of treated water for direct industrial recirculation, and the results should therefore be interpreted as indicating potential for further evaluation after appropriate clarification. This work establishes an empirical multi-scale characterization framework that links glass-cutting sludge and process wastewater as compositionally related outputs of the same comminution process, thereby supporting circular-economy strategies by jointly informing sludge valorization and water-clarification pathways. Overall, this work establishes a multiscale characterization framework for integrated residue management, jointly supporting sludge valorization and wastewater clarification assessment within a circular-economy perspective. Full article

Low temperature during germination of late-seeded rapeseed disrupts multiple physiological and biochemical processes and thus limits growth and yield. Accordingly, methods to improve cold tolerance in late-sown rapeseed are needed. In this study, Zhongshuang 11 seeds were primed for 10 h with different concentrations of erucic acid (EA) or glucosinolates (GSLs). After drying, seeds were germinated at low temperature (15 °C/10 °C, 16 h/8 h light/dark) for 14 days. Compared with the control (distilled water priming), the optimal treatments—500 mg/L EA and 300 mg/L GSLs—increased germination rates by 2.9% and 15.6%, respectively, and raised total seedling biomass by 14–24%. Physiological assays on day 14 showed that EA priming increased peroxidase (POD) activity by 28.3%, while GSL priming enhanced superoxide dismutase (SOD) and POD activities by 12.6% and 36.2%, respectively. EA seed priming increased auxin (IAA), brassinolide (BR), cytokinin (CTK), and gibberellin (GA) contents in underground tissues by 37.2%, 18.7%, 53.9%, and 46.7%, respectively, while GSL priming raised IAA, BR, and GA levels in aerial tissues by 74.0%, 59.0%, and 26.6%. Moreover, EA seed priming significantly increased the activities of long-chain acyl-CoA synthetase (LACS) and carnitine acyltransferase (CPT) in rapeseed seedlings, whereas GSL priming elevated glutathione S-transferase (GST) and thioredoxin reductase (TrxR) activities. Field experiments confirmed that EA and GSL priming enhanced seedling biomass accumulation, producing 31.4% and 23.8% increases in total dry weight, respectively, and increased silique number per plant by 15.6% and 17.3%, ultimately raising grain yield by 12.9% and 20.0%. These results indicate that EA or GSL seed priming can improve cold tolerance and yield of late-seeded rapeseed, although further multi-environment and mechanistic studies are required. Full article

Photodynamic therapy (PDT) is a minimally invasive therapeutic modality based on the interaction between a photosensitizer (PS), light, and molecular oxygen to generate reactive oxygen species (ROS) capable of inducing localized cytotoxicity. Natural products provide a chemically diverse source of photosensitizers, including curcumin, hypericin, hypocrellin, chlorin derivatives, alkaloids, flavonoids, anthraquinones, and other photoactive scaffolds. However, their translational development remains limited by poor solubility, aggregation, instability, variable purity, limited tissue penetration, suboptimal pharmacokinetics, and insufficient formulation readiness. In parallel, artificial intelligence (AI), including machine learning (ML), deep learning (DL), quantitative structure–activity relationship (QSAR) and quantitative structure–property relationship (QSPR) modeling, radiomics, and predictive analytics, is increasingly being applied to photosensitizer discovery, molecular property prediction, nanoformulation optimization, treatment planning, and precision PDT. This critical review evaluates the intersection between AI, natural photosensitizers, nanopharmaceutical development, and PDT, with emphasis on methodological strengths, current limitations, and translational priorities. A PRISMA 2020-inspired search strategy identified 27 studies for qualitative synthesis, comprising 11 review articles and 16 original investigations, while additional seminal references were used for historical and mechanistic contextualization. The analysis indicates that current AI applications in PDT are concentrated around molecular property prediction, QSAR/QSPR modeling, phototoxicity assessment, radiomics, image-guided therapy, and treatment-response prediction, whereas AI-guided exploration of natural photosensitizer chemical space and AI-assisted nanoformulation design remain comparatively underdeveloped. Key barriers include heterogeneous datasets, limited natural-product representation in predictive models, insufficient external validation, weak integration between formulation variables and photodynamic outcomes, and limited consideration of manufacturing and regulatory requirements. This review proposes an integrated AI-enabled translational framework connecting natural-product chemical diversity, photochemical prediction, nanocarrier optimization, precision PDT validation, and clinical implementation. Full article

Strawberry fruit deteriorates rapidly after harvest due to its fragile surface tissues, and cultivation-based strategies that modulate phenolic-related responses may help improve selected postharvest-related traits. This study evaluated whether preharvest ferulic acid (FA) spray is associated with fruit surface penetration resistance (FSPR), lignin-related absorbance (LA) in the outer fruit tissue, outer tissue organization, and fresh weight retention in two strawberry cultivars, ‘Sulhyang’ and ‘Kuemsil’. Plants were sprayed with 0, 0.05, 0.2, and 0.4 g L⁻¹ FA during fruit development, and fruit quality, surface-related traits, LA, light microscopic features, external appearance, and relative fresh weight during storage were assessed. FA treatment increased FSPR in both cultivars, with a significant cultivar × FA concentration interaction. LA decreased during ripening but was higher in mature red fruit treated with 0.2 and 0.4 g L⁻¹ FA than in untreated fruit. The 0.4 g L⁻¹ FA treatment showed better qualitative maintenance of outer tissue organization, improved external appearance, and higher fresh weight retention during short-term storage, without a consistent decrease in SSC and TA. These results indicate that preharvest FA spray is a practical cultivation-stage approach associated with improved surface-related postharvest responses in strawberry fruit and provides a basis for future metabolite-informed studies. Full article

Background: Accurate and timely malaria diagnosis with species-level identification of Plasmodium parasites is critical for guiding effective treatment and disease management. Although light microscopy remains the diagnostic gold standard, its dependence on highly trained personnel limits accessibility, particularly in resource-constrained settings. Recent advances in deep learning have enabled automated image-based diagnosis with promising performance; however, reliable differentiation among Plasmodium species continues to pose a major challenge. This study aims to evaluate and compare the effectiveness of different deep learning architectures for automated species identification from microscopy images. Methods: Three deep learning architectures were systematically assessed: a convolutional backbone (ResNet50), a Vision Transformer (ViT), and a hybrid ResNetViT model. All models were trained from scratch, without using pretrained weights, on a dataset comprising real-world thick blood smear images augmented with publicly available microscopy data from Kaggle. In the hybrid architecture, the ResNet module was used to extract robust local morphological features, while the ViT component captured long-range dependencies and contextual relationships within images. Results: In cross-validation experiments, all three architectures consistently achieved high diagnostic performance. ResNet50 attained the highest accuracy (96.9%), an F1-score of 96.3%, and an ROC-AUC of 0.997. The Vision Transformer achieved 93.1% accuracy, 91.7% F1-score, and an ROC-AUC of 0.989. The hybrid ResNetViT reached 95.2% accuracy, 94.2% F1-score, and an ROC-AUC of 0.995. These results confirm that all architectures can reliably distinguish among Plasmodium species. Although ResNet50 achieved the highest raw accuracy, the hybrid model showed the most stable calibration and the closest qualitative agreement between its attention maps and expert-annotated parasite locations. Conclusions: The findings demonstrate that convolutional, transformer-based, and hybrid deep learning architectures can be successfully trained on real microscopy data for species-level malaria diagnosis. These results support the feasibility of deploying scalable, automated diagnostic systems to improve both accuracy and accessibility of malaria detection, particularly in resource-limited healthcare settings. Full article