Search Results (5,207)

C. humilis is a small shrub belonging to the Rosaceae family, and grafting is one of the main ways for propagation. However, the influence of different rootstocks on volatile aroma is still unclear. In this study, an untargeted metabolomics approach based on gas chromatography–mass spectrometry (GC-MS) was utilized to analyze the volatile differential metabolites between the rootstock–scion combinations and self-rooted seedlings. Furthermore, metabolic pathway enrichment analysis was performed using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. In total, 191,162 and 150 volatile differential metabolites were identified in different rootstock–scion combinations. The rootstock–scion combinations of ZG/MYT and ZG/BT could improve the volatile aroma in the fruit of C. humilis and made significant contributions to the rose and fruity flavors. KEGG pathway analysis indicated that the differential metabolites were mainly enriched in the butanoate metabolism and glycolysis/gluconeogenesis pathways, showing an increasing trend. Prunus tomentosa and Amygdalus communis can serve as preferred rootstocks for enhancing the aroma quality of C. humilis fruits. These results provide new insight into rootstock-based propagation and breeding and also offer some guidance for graft-based fruit production. Full article

The colonization of Fusobacterium nucleatum (F. nucleatum) in the microenvironment of gastric cancer (GC) is closely associated with tumor progression, but its impact on host metabolic remodeling remains unclear. This study aims to elucidate the mechanistic link between F. nucleatum infection and metabolic changes in GC tissue. By integrating 16S rRNA microbiome sequencing and LC-MS/MS metabolomics, the differences in microbial composition and metabolic profiles between Fusobacterium sp.-positive and -negative GC tissues were systematically compared, and the correlation of differential microbes and differential metabolites was analyzed. The impact of F. nucleatum on the glutathione (GSH) metabolic pathway was validated through in vitro tissue testing and the use of the infection model of GC cell lines (such as AGS and HGC27). Integrative omics analysis showed a strong negative correlation between Fusobacterium sp. infection and antioxidant metabolite GSH levels in GCs (p < 0.001). Metabolic reprogramming features: Eleven differentially expressed metabolites were identified using LC-MS/MS metabolomics screening (p < 0.05). GSH was significantly depleted in the Fusobacterium sp.-positive group. Experimental validation: At the histological level, the abundance of F. nucleatum in GC tissues was higher than that in the paired adjacent non-cancerous (NC) tissues; at the cellular level, after F. nucleatum infection of GC cells, the intracellular GSH level decreased (p < 0.01), accompanied by a decrease in glutathione synthetase (GSS) mRNA expression and reactive oxygen species (ROS). This study is the first to demonstrate that F. nucleatum suppresses the GSH synthesis pathway, leading to the breakdown of antioxidant capacity and the formation of an oxidative stress microenvironment in GC cells. These findings provide new insights into the metabolic mechanism of F. nucleatum in promoting GC progression and suggest that targeting the F. nucleatum-GSH axis could offer a novel strategy for GC therapeutic intervention. Full article

Net ecosystem productivity (NEP) serves as a key indicator for assessing regional carbon sink potential, with its dynamics regulated by nonlinear interactions among multiple factors. However, its driving factors and their coupling processes remain insufficiently characterized. This study investigated terrestrial ecosystems in Yunnan Province, China, to elucidate the drivers of NEP using 14 environmental factors (including topography, meteorology, soil texture, and human activities) and 21 remote sensing features. We developed a research framework based on “Feature Selection–Machine Learning–Mechanism Interpretation.” The results demonstrated that the Variable Selection Using Random Forests (VSURF) feature selection method effectively reduced model complexity. The selected features achieved high estimation accuracy across three machine learning models, with the eXtreme Gradient Boosting Regression (XGBR) model performing optimally (R² = 0.94, RMSE = 76.82 gC/(m²·a), MAE = 55.11 gC/(m²·a)). Interpretation analysis using the SHAP (SHapley Additive exPlanations) method revealed the following: (1) The Enhanced Vegetation Index (EVI), soil pH, solar radiation, air temperature, clay content, precipitation, sand content, and vegetation type were the primary drivers of NEP in Yunnan. Notably, EVI’s importance exceeded that of other factors by approximately 3 to 10 times. (2) Significant interactions existed between soil texture and temperature: Under low-temperature conditions (−5 °C to 12.15 °C), moderate clay content (13–25%) combined with high sand content (40–55%) suppressed NEP. Conversely, within the medium to high temperature range (5 °C to 23.79 °C), high clay content (25–40%) coupled with low sand content (25–43%) enhanced NEP. These findings elucidate the complex driving mechanisms of NEP in subtropical ecosystems, confirming the dominant role of EVI in carbon sequestration and revealing nonlinear regulatory patterns in soil–temperature interactions. This study provides not only a robust “Feature Selection–Machine Learning–Mechanism Interpretation” modeling framework for assessing carbon budgets in mountainous regions but also a scientific basis for formulating regional carbon management policies. Full article

The United States of America could build 20,000 bases for the Statue of Liberty every year using its construction and demolition waste, and 456 bases using waste glass from jars and bottles. However, some sectors of the population still face a shortage of affordable housing. The challenges of disposing of such large amounts of waste and solving the housing shortage could be addressed together if these materials, considered part of a closed-loop system, were integrated into new building blocks. This research studies compressed earth blocks that incorporate soils and gravels excavated in situ, river sand, crushed concrete from demolition waste, and recycled glass sand. To stabilize the blocks, cement is used at 5, 10, and 15% (by weight). The properties studied include the following: density, apparent porosity, initial water absorption, simple compression, modulus of elasticity, and thermal conductivity. Optical image analysis proved to be a tool for predicting the values of these properties as the stabilizer changed. To assist in decision making regarding the best overall performance of the total 12 mix designs, a ranking system is proposed. The best blocks, which incorporate the otherwise waste materials, exhibited simple compression values up to 7.3 MPa, initial water absorption of 8 g/(cm² × min^0.5) and thermal conductivity of 0.684 W/m·K. Full article

Sea cucumbers, important members of the Echinoderm phylum, play a crucial role in sediment mixing and nutrient cycling on the seafloor. They also hold significant economic value, particularly in Asian food and pharmaceutical markets. In the Mediterranean Sea, the harvesting of sea cucumbers has recently intensified, often without regulation, threatening both species populations and benthic ecosystem health. This study investigated the potential of using fatty acid (FA) profiles as ecological biomarkers to trace the different origin and feeding ecology of two sea cucumber species, Holothuria polii and H. tubulosa, collected from ten coastal sites in Italy. A total of 285 individuals were analyzed by extracting and characterizing lipids from their body walls using gas chromatography (GC-FID and GC-MS). Key fatty acids identified included arachidonic acid, eicosapentaenoic acid, eicosenoic acid, palmitic acid, palmitoleic acid, stearic acid, and nervonic acid. Principal Component Analysis (PCA) revealed patterns consistent with geographic origin, suggesting that FA profiles can reflect site-specific trophic conditions. The analysis also indicated that sea cucumbers primarily feed on diatoms, bacteria, and blue-green algae, with notable regional variation. This study is the first to successfully apply FA-based trophic markers to differentiate Italian populations of these species, providing insights for ecological monitoring and fishery management. Full article

In response to the growing interest in natural cosmetic raw materials with antioxidant and moisturising properties, this study focuses on the use of dandelion leaves (Taraxaci folium) in the co-fermentation process involving selected strains of Saccharomyces cerevisiae and Lactobacillus rhamnosus MI-0272. The aim of the study was to develop an innovative method of co-fermentation of dandelion leaves using waste beet molasses and organic cane biomolasses as substrates to produce lactic acid (LA), which is the main component of fermented cosmetic raw materials (FCRMs). The scope of the research included the determination of antioxidant activity using the DPPH (AA-DPPH) and ORAC (AA-ORAC) methods, determination of total polyphenol content (TPC) using the Folin–Ciocalteu method, assessment of lipophilicity by measuring the log P partition coefficient, assessment of wettability (contact angle), and statistical analysis. The key results indicated that the developed method allows for up to a fivefold reduction in fermentation time, enabling the production of FCRMs with the highest antioxidant activity (AA-DPPH = 3.0 ± 0.1 mmol Tx/L (Trolox equivalents per litre); AA-ORAC = 0.55 ± 0.02 mmol Tx/L) and the highest polyphenol content (TPC = 3589 ± 25 mg gallic acid equivalents per litre (GA/L)), with LA content (determined by GC-MS) up to 37 g/L. In addition, the analysis of the relationship between lipophilicity and membrane wettability showed that the hydrophilic antioxidants contained in FCRMs (log P = −0.9) can accumulate in the aqueous layers of the epidermis, suggesting their potential local protective and antioxidant effects. The results obtained confirm the potential of the developed technology in the production of modern cosmetic raw materials with antioxidant properties. Further research should include qualitative and quantitative analysis of phenolic acids contained in FCRMs and evaluation of the effectiveness of cosmetic preparations containing FCRMs in vivo. Full article

Acmella radicans, commonly known as the “toothache plant,” is traditionally attributed with medicinal properties, although few studies have validated its biological effects. In the present study, a chemical analysis of the wild plant was performed using gas chromatography–mass spectrometry (GC-MS). In addition, the antioxidant, anti-inflammatory, and antibacterial potential of ethanolic extracts from the roots (RE) and aerial parts (AE), as well as their respective fractions, was evaluated. The dichloromethane fractions of the aerial parts (DFAE) and root extracts (DFRE) at a concentration of 25 μg/mL demonstrated the highest inhibition of nitric oxide (NO) production, reducing levels to 22.2 ± 1.9 and 22.2 ± 2.9 μM, respectively. Moreover, these fractions exhibited a notable inhibition of TNF-α production, lowering its concentration to 22.6 ± 3.3 pg/mL (DFAE) and 24.8 ± 5.3 pg/mL (DFRE) at 25 µg/mL. GC-MS chemical profiling revealed the presence of alkamides such as N-isobutyl-2E,6Z,8E-decatrienamide, N-(2-methylbutyl)-2E,6Z,8E-decatrienamide, and N-(2-phenylethyl)-2E,4Z-octadienamide in both root and aerial part extracts. The dichloromethane fractions showed a higher abundance of alkamides compared to the hexane fractions, suggesting that these compounds may be at least partially responsible for the observed anti-inflammatory activity. Additionally, AE showed moderate activity against S. typhimurium and low activity against other bacteria, while RE was especially effective against a resistant strain of S. aureus, indicating an MIC of 31.25 μg/mL, likely due to its high content of alkamides, particularly spilanthol. Several fractions also inhibited bacteria such as P. aeruginosa, S. aureus, and E. coli, possibly because of the presence of alkamides and compounds like β-amyrin. Full article

This study explores the synthesis, characterization, and extraction efficiency of hydrophobic natural deep eutectic solvents (NADESs), along with the allergen-modulating potential of extracted bioactive compounds. Six NADESs were synthesized using binary combinations of camphor, thymol, eugenol, and menthol (1:1 molar ratio) and characterized using Fourier transform infrared spectroscopy (FTIR), thermogravimetric analysis and differential thermal analysis (TGA/DTA), density functional theory (DFT), and molecular dynamics simulations (MD simulations). Bioactive compounds were extracted from Thujopsis dolabrata wood biomass via ultrasonic-assisted extraction and analyzed using gas chromatography–mass spectrometry (GC–MS). The total essential oil yield, estimated semiquantitatively by summing the peak areas of key terpenoid compounds, ranged from 1.91% to 7.90% across different NADES systems, indicating their varied extraction capacities. Molecular docking was performed to assess their allergen-modulating interactions with Amb a 1 and Cry j 1. All NADESs exhibited single-stage decomposition (110–125 °C) except camphor–menthol, which recrystallized. FTIR and simulations confirmed strong hydrogen bonding in eugenol-based NADESs, particularly menthol–eugenol. Extraction identified 47 bioactive compounds, with 4,5α-Epoxy-3-methoxy-17-methyl-7α-(4-phenyl-1,3-butadienyl)-6β,7β-(oxymethylene) morphinan as the most abundant (9.31–11.16%). It exhibited the highest binding affinity (Cry j 1: −8.60 kcal/mol, Amb a 1: −7.40 kcal/mol) and lowest inhibition concentration (Cry j 1: 0.49 µM, Amb a 1: 3.74 µM), suggesting strong allergen-modulating potential. Hydrophobic interactions and hydrogen bonding drove protein–ligand binding. These findings highlight NADESs as effective, sustainable solvents for extracting bioactive compounds with allergen-modulating potential. Full article

This study investigated the potential of Thymus serpyllum L. and Mentha × piperita L. essential oils (EOs), known for their bioactive properties, as adjunctive treatments targeting Basal cell carcinoma cancer stem cells (BCC CSCs). Primary cultures were established from ten BCC tumor samples and their distant resection margins as controls. The chemical composition of the EOs was analyzed by gas chromatography–mass spectroscopy (GC-MS) and attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR). The biological effects were evaluated via colony and spheroid formation, scratch assays, MTT and neutral red cytotoxicity assays, and qRT-PCR for Hh (SHH, PTCH1, SMO, and GLI1) and Notch (Notch1 and JAG1) gene expression. GC analysis identified thymol, p-cymene, and linalool as the main components of the EO of T. serpyllum L., and menthone and menthol in the EO of M. × piperita L. IC50 values were 262 µg/mL for T. serpyllum L. and 556 µg/mL for M. × piperita L. and were applied in all experiments. Both EOs significantly reduced CSC clonogenicity and migration (p < 0.05). The EO of T. serpyllum L. downregulated SMO and GLI1, while the EO of M. × piperita L. upregulated PTCH1, Notch1, and JAG1 (p < 0.05). These findings suggest that both EOs exhibit anticancer effects in BCC CSCs by modulating key oncogenic pathways, supporting their potential in BCC therapy. Full article

This investigation explored the chemical constituents and biological activities of the steam-distilled oil of L. usitatissimum (SDOLU), employing sophisticated techniques including LC-HRMS, GC-MS, and GC-FID. The analysis identified a diverse array of 17 phenolic compounds, with linoleoyl chloride (64.05%) and linoleic acid (10.39%) as the major fatty acid components. The SDOLU demonstrated remarkable antioxidant capacity, effectively neutralizing free radicals in both DPPH^• (IC₅₀: 19.80 μg/mL) and ABTS^•+ (IC₅₀: 57.75 μg/mL) scavenging assays, alongside robust electron-donating activity in reducing ability tests. Moreover, the SDOLU showed significant inhibition of key enzymes implicated in metabolic and neurodegenerative disorders, including α-amylase (IC₅₀: 531.44 μg/mL), acetylcholinesterase (IC₅₀: 13.23 μg/mL), and carbonic anhydrase II (IC₅₀: 281.02 μg/mL). Collectively, these results highlight the SDOLU as a valuable natural source of multifunctional bioactivities with potential applications in combating oxidative stress and enzyme-related global diseases. Further studies are warranted to validate its therapeutic efficacy and expand its industrial utilization. Full article

The complex interdependencies among numerous safety risk factors influencing oil tanker loading/unloading operations constitute a focal point in academic research. To enhance safety management in oil port operations, this study conducts a risk analysis of oil tanker berthing and cargo transfer safety. Initially, safety risk factors are identified based on the Wu-li Shi-li Ren-li (WSR) systems methodology. Subsequently, a hybrid weighting approach integrating the Fuzzy Analytic Hierarchy Process (FAHP), G2 method, and modified CRITIC technique is employed to calculate indicator weights. These weights are then synthesised into a combined weight (GVW) using cooperative game theory and variable weight theory. Further, by integrating grey theory with the cloud model (GCM), a risk assessment is performed using Tianjin Port as a case study. Results indicate that the higher-risk indicators for Tianjin Port include vessel traffic density, safety of berthing/unberthing operations, safety of cargo transfer operations, safety of pipeline transfer operations, psychological resilience, proficiency of pilots and captains, and emergency management capability. The overall comprehensive risk evaluation value for Tianjin Port is 0.403, corresponding to a “Moderate Risk” level. Comparative experiments demonstrate that the results generated by this model align with those obtained through Fuzzy Comprehensive Evaluation Methods. However, the proposed GVW-GCM framework provides a more objective and accurate reflection of safety risks during tanker operations. Based on the computational outcomes, targeted recommendations for risk mitigation are presented. The integrated weighting model—incorporating game theory and variable weight concepts—coupled with the grey cloud methodology, establishes an interpretable and reusable analytical framework for the safety assessment of oil port operations under diverse port conditions. This approach provides critical decision support for constructing comprehensive management systems governing oil tanker loading/unloading operations. Full article

In this in vitro experimental study, we compared four extraction techniques -dynamic maceration (DME), ultrasound-assisted (UAE), microwave-assisted (MAE), and pressurized liquid extraction (PLE)- to obtain bioactive extracts from two native Ecuadorian plants, Piper carpunya and Simira ecuadorensis. The effect of extraction techniques was evaluated separately for each specie based on extraction yield, total phenolic content (TPC), antioxidant capacity (DPPH, ABTS, FRAP, and ORAC assays), antimicrobial activity, and chemical composition. All analyses were performed in triplicate and analyzed statistically (ANOVA, p < 0.05). UAE and MAE exhibited the highest extraction yield, while PLE provided extracts with the greatest TPC. However, UAE extracts, particularly for S. ecuadorensis, exhibited superior antioxidant capacity across assays. GC/MS analysis revealed alkanes as predominant constituents, along with minor phenolic and ester compounds. Antimicrobial activity was observed in both species, especially against Listeria monocytogenes and Pseudomonas aeruginosa, with UAE and MAE extracts being most effective. Compounds such as isoelemicin, phytol, and ethyl linolenate may contribute to the observed bioactivities. These findings highlight the potential of P. carpunya and S. ecuadorensis as natural sources of antioxidants and antimicrobials for food and pharmaceutical applications. Full article

Rice has excellent nutritional quality as a dietary food and is easily puffed. The aim of this study was to investigate the effects of puffing technology on the physicochemical parameters, structure properties and volatile components of brown rice (BR) and refined rice (RR). XRD and FT-IR spectroscopic data demonstrated that puffing under high temperature and pressure conditions triggered starch gelatinization, concurrently reducing starch crystallinity and inducing a V-type polymorphic structure. In addition, it substantially weakened hydrogen bonding networks in rice flour. In detail, 136 volatile compounds of raw and puffed rice were analyzed by HS-SPME-GC-MS, and the results showed that aldehydes, ketones, and pyrazines were the main volatile aroma compounds after puffing. By correlation analysis, benzaldehyde, 2-octenal, 2-methoxy-phenol, and furfural were identified as key contributors. The volatile components, especially ketones and alcohols, were higher in the BR as compared to those in the RR, with a significant difference observed between the two (p < 0.05). Combined with sensory evaluation, 1212CH was found to have a high score (17.63). These results could provide a theoretical basis for understanding the effect of puffing on rice flour and the volatile components of puffed products. Full article

To investigate the impact of microencapsulation on the volatile organic compounds (VOCs) in Zanthoxylum oil, this study compared unencapsulated Zanthoxylum oil (ZO) with microencapsulated Zanthoxylum oil (MZO) using physicochemical analysis, sensory evaluation, and molecular sensory analysis. Sensory evaluation revealed significant differences in aroma attributes between ZO and MZO, whereas no notable differences were observed in numbing intensity or overall acceptability. Colorimetric analysis indicated significant distinctions between the two samples. Electronic nose (E-nose) analysis demonstrated a reduction in overall aroma intensity for MZO compared to ZO. Gas chromatography–mass spectrometry (GC–MS) identified 43 VOCs, including 22 compounds present in both samples, accounting for 46.8% of the total. Terpenes represented the predominant class in both ZO (69.7%) and MZO (68.2%). Comprehensive analysis based on odor activity value (OAV) and variable importance in projection (VIP) identified nine volatile compounds as key aroma contributors. Gas chromatography–ion mobility spectrometry (GC–IMS) detected 90 the volatile organic compounds (VOCs), with esters (30.38%) and heterocyclic compounds (10.42%) predominating in ZO, while esters (29.08%) and alcohols (26.12%) were predominant in MZO. Compared to ZO, MZO exhibited increased levels of alcohols (from 12.04% to 26.12%) and terpenes (from 1.39% to 3.53%), but decreased levels of acids (from 5.77% to 2.72%) and aldehydes (from 10.29% to 4.62%). This approach provides a comprehensive assessment of flavor quality before and after microencapsulation, offers a scientific basis for quality control, and facilitates the development and utilization of Zanthoxylum oil resources. Full article

Volatile compounds and aroma sensory profile of wines were researched in order to determine the effect of the coupage technique using monovarietal young white wines from La Mancha region. To conduct this study, the aroma compositions of Airén, Chardonnay, and Vermentino monovarietal wines and the wines obtained by blending monovarietal wines were extensively studied. Free aroma compounds were isolated by solid phase extraction (SPE) using dichloromethane and then analyzed by gas chromatography–mass spectrometry (GC-MS). Sensory aroma profile was determined using Quantitative Descriptive Sensory Analysis (QDA). Seventy-one (71) free aroma compounds were identified and quantified. C₆ and benzenic compounds were the principal groups of varietal aroma compounds in Airén and Chardonnay wines. The varietal aroma of monovarietal Vermentino wines is characterized by higher concentrations of terpene and C₁₃-norisoprenoids compounds. Wines obtained by the blending of monovarietal wines showed a higher concentration of principal aroma compounds of monovarietal wines and exhibited a higher sensory complexity than the monovarietal wines. The coupage technique intensified the principal sensory properties of Airén, Chardonnay, and Vermentino monovarietal wines and these were scored very positively by wine assessors, especially when the different grape variety contents of the blended monovarietal wines were split equally at 33% each, which provided wines with more aroma typicity than monovarietal wines. Full article