Search Results (534)

Background: Wampee (Clausena lansium (Lour.) Skeels) is an understudied Rutaceae crop native to southern China, whose fruit features a complex aroma profile with simultaneous sour, sweet, bitter and astringent notes. Although bioactive compounds including flavonoids, alkaloids and volatile oils in wampee fruit have been partially characterized, the tissue-specific metabolic and transcriptional basis underlying its distinctive aroma formation remains largely unclear. Methods: We performed an integrated volatile metabolomic and transcriptomic analysis on the pericarp (peel) and flesh of wampee fruit across three cultivars (Shanyellowpi, Heijingang, Bingtangxin). Volatile metabolites were profiled via headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry (HS-SPME-GC-MS), and transcriptome profiles were generated by RNA-Seq. Multi-omics integration was conducted using Procrustes analysis, gene–metabolite correlation network construction and weighted gene co-expression network analysis (WGCNA). Results: A total of 288 volatile metabolites were identified, representing the most comprehensive volatile inventory for C. lansium reported to date. Principal component analysis and partial least squares discriminant analysis revealed distinct volatile profiles between pericarp and flesh; terpenoids were the dominant chemical class, accounting for 71.56–91.48% of total volatiles in pericarp and 61.88–67.22% in flesh. Notably, organoheterocyclic compounds were significantly enriched in Shanyellowpi flesh (40.45%), forming a cultivar-specific metabolic signature absent in the other two cultivars. Transcriptomic analysis showed that phenylpropanoid biosynthesis was the most significantly enriched pathway among differentially expressed genes, followed by monoterpene biosynthesis and sesquiterpenoid biosynthesis. Procrustes analysis demonstrated a strong global concordance between the two omics layers (M² = 0.535, p < 0.001). Gene–metabolite correlation networks identified terpene synthase (TPS) genes (HP075360, HP217350) and oxidoreductase genes (SOD1, GST, 10HGO) as candidate co-regulators of terpenoid biosynthesis. WGCNA further prioritized TPS genes, cytochrome P450 genes and MYB transcription factor genes as key regulators driving volatile metabolic divergence between tissues. Conclusion: This study provides a comprehensive volatile and transcriptomic atlas of wampee fruit, and identifies tissue-specific and cultivar-specific metabolic signatures as well as their candidate regulatory genes. These findings advance our understanding of quality differentiation in Rutaceae fruits and lay a foundation for molecular breeding and flavor improvement of wampee. Full article

The use of non-traditional oilseeds for food purposes has increased significantly in recent years. Due to the high content of unsaturated fatty acids, the production of cold-pressed oils from pumpkin and hemp seeds is growing at a steady pace. This results in the accumulation of a by-product (oilseed press cake), from which high-quality proteins can be derived. Protein hydrolysates based on these raw materials offer further potential for valorization. This review summarizes classical and modern methods for obtaining protein isolates from pumpkin and industrial hemp oilseed cakes, as well as possible approaches for their modification to enhance their nutritional and functional properties. Furthermore, it provides an overview of the methods for producing protein hydrolysates rich in bioactive peptides. The presence of peptides with antioxidant, antihypertensive, or hypoglycemic properties makes hydrolysates a valuable source of nutraceutical components with potential applications in the development of functional foods or dietary supplements. However, most studies to date have been conducted using in vitro systems. Further research involving animal models or clinical observations is required to determine dosage regimens and applications of these hydrolysates. Regarding protein isolates, the challenges for their broader use in the food industry are related to increasing solubility, removing anti-nutritional factors, and improving techno-functional properties. Full article

Poor aqueous solubility remains one of the most persistent challenges in pharmaceutical development, limiting clinical translation and requiring innovative formulation strategies; approximately 40% of newly discovered pharmaceutical compounds are affected, underscoring the scale of the problem. Emulsion-based delivery systems overcome this limitation by maintaining drugs in a dissolved state, increasing absorption surface area, and enabling controlled release; however, conventional emulsions face thermodynamic instability and coalescence challenges. Cellulose and nanocellulose—cellulose nanocrystals (CNCs), cellulose nanofibers (CNFs), and bacterial cellulose (BC)—have emerged as sustainable, biocompatible alternatives to synthetic surfactants for stabilizing emulsions via Pickering mechanisms involving irreversible adsorption of solid particles at the oil–water interface. This review synthesizes 142 references across eight application themes: fundamentals and history, emulsion templating, drug encapsulation, antimicrobial and pathogen applications, vaccine adjuvants, topical and transdermal delivery, commercial translation, and regulatory gaps. Rather than treating all sources equally, 37 primary studies are examined in depth through structured critical-appraisal tables organized by system type, goal, key result, and limitation; the remainder are synthesized at the pattern level. A key mechanistic distinction is identified between BC as a standalone biomedical material (used in wound dressings, tissue scaffolds, and drug delivery membranes) and BC as a source for Pickering-emulsion stabilizers after disintegration into nanocrystals or nanofibrils. The review’s overall assessment is that the fundamental materials science of cellulose Pickering emulsions is mature and consistent across sources, while the translational evidence, including in vivo confirmation of drug release performance, biofilm-relevant antimicrobial testing, standardized nanocellulose characterization, and up-to-date intellectual property mapping, remains the binding constraint on clinical and commercial adoption. Six specific, evidence-linked research priorities are identified to advance cellulose emulsions toward regulatory approval and clinical use. Full article

Polycyclic aromatic hydrocarbons (PAHs) from the water-soluble fraction (WSF) of crude oil are recognized cardiotoxicants in fish; however, all electrophysiological evidence to date derives from acute exposure experiments. This study examined the effects of prolonged (5–8 h) incubation of isolated ventricular cardiomyocytes from the navaga cod (Eleginus nawaga, Walbaum, 1792) with 10% WSF (total dissolved tricyclic-PAH concentration in the tens-of-nM), 3 µM phenanthrene (Phe), or 3 µM 3-methylphenanthrene (3-MP) on action potential (AP) parameters and the underlying ionic currents using the whole-cell patch-clamp technique. WSF and 3-MP reduced AP amplitude and maximum rate of depolarization through suppression of the fast sodium current (I_Na), whereas Phe and 3-MP shortened AP duration, associated with decreased density and a hyperpolarizing shift in steady-state activation of the rapid delayed rectifier potassium current (I_Kr). The L-type calcium current and inward rectifier potassium current remained unaffected by all treatments. Notably, the effects of prolonged incubation differed qualitatively from previously reported acute responses to the same compounds, suggesting the involvement of indirect mechanisms such as reactive oxygen species production and activation of intracellular signaling cascades. These findings demonstrate that subchronic PAH exposure produces distinct and potentially proarrhythmogenic alterations in fish cardiac electrophysiology that cannot be predicted from acute exposure data alone. Full article

The olive tree (Olea europaea L.) is a quintessential symbol of the Mediterranean basin, representing a profound intersection of ecological adaptation, agricultural evolution, and cultural identity. Italy, where the olive has shaped dietary habits, traditional medicine, folklore, and landscape from prehistory to the present, serves as a primary macro-region for studying the co-evolution of human societies and this iconic plant. In this vein, this paper examines the ethnobotanical trajectory of O. europaea on the Italian peninsula through an analysis of traditional knowledge concerning its medicinal and ritual uses, reported in ethnographic literature dating from the second half of the 19th century to the first half of the 20th century. In addition, we conducted a review of Italian ethnobotanical fieldwork published between 2000 and 2025. Accordingly, olive leaves (used as antihypertensives, febrifuges, hypoglycemic and apotropaic agents), bark and roots (to treat various pathologies) and oil (in rituals for spiritual healing and against evil eye, as an emollient for dermatological pathological and cosmetical conditions and as a vehicle for infusing other therapeutic herbs) have found a central place in the Italian popular pharmacopeia and magic-religious practices. The roots of these traditions have been contextualized within a wider Mediterranean oleo-culture rising from the second millennium BCE. By identifying knowledge gaps, documenting regional ethnobotanical diversity, and connecting historical and contemporary evidence, this work provides a novel framework for future comparative ethnobotanical research. Eventually, a discussion on how contemporary Italy is reframing this botanical legacy through the lenses of agrobiodiversity conservation and the safeguarding of historical rural landscapes against modern threats such as climate change and phytosanitary crises is presented. Full article

Optimal harvesting time is crucial for the quality and yield of extra virgin olive oil. Despite the widespread use of visual ripeness, maturity index, and pulp hardness, no study has compared their predictive ability for the quality and production parameters of extra virgin olive oil at industrial scale, thus motivating this work. Fifteen 300 kg olive samples (five replicates per harvesting date) were collected on 11 October, 29 October, and 25 November 2024 and processed within six hours at an industrial olive oil mill. One-way analysis of variance and Multiple Ordinary Least Squares regression were applied to evaluate harvest maturity indicators against primary quality, phenolic profile, yield, temperature, and sensory parameters. The former confirmed a significant main effect of harvesting time for most parameters, while the latter showed that visual ripeness systematically outperformed the maturity index and pulp hardness in seven out of eight models; pulp hardness was the sole exception, proving the strongest correlation with final oil temperature. These findings confirm that visual ripeness—a cost-free, immediately applicable parameter—seems to be the most strongly correlated indicator of the quality, phenolic content, and sensory attributes of extra virgin olive oil, while pulp hardness emerges as an innovative operative tool for optimizing temperature management in the production of extra virgin olive oil. Full article

The new technological solutions supporting hard machining processes are becoming an up-to-date research area. The enhancement of cooling lubrication efficiency in the cutting zone plays a crucial role in improving cutting performance. This paper investigates the effectiveness of Minimum Quantity Lubrication (MQL) using SiC nanoparticle-enhanced oil in the hard milling process of AISI D2 tool steel. The results are compared with dry and pure MQL modes based on criteria including cutting force components, surface roughness, tool wear, and tool life. The research results show that compared to dry and pure MQL, the SiC nanofluid MQL environment provides the best performance with reductions in feed force F_x (22.3–23.8%), thrust force F_y (20.5–55.3%), tangential force F_z (26.5–34%), surface roughness (37–62.3%), tool wear (46.1–73.3%), and increased tool life (80–200%). These findings demonstrate that the lubrication and cooling efficiency of the base oil is improved with the addition of SiC nanoparticles. The deep penetration of oil droplets into the cutting zone and the formation of the oil film significantly contributed to reducing friction and cutting heat. SiC nanoparticles not only improved the lubricating and cooling capabilities of the base cutting oil but also created secondary mechanisms within the cutting zone. Furthermore, monitoring cutting forces and surface roughness can be suggested as supplementary criteria for evaluating tool wear and tool life. This research will provide important technological guidance and a theoretical basis for the improvement of hard milling and application of the SiC nanofluid MQL technique. Full article

Four unvarnished oil paintings by the abstract expressionist artist Joan Mitchell were studied and conserved at the Carnegie Museum of Art (CMOA) and the Indianapolis Museum of Art at Newfields (IMA). These paintings, Sans Neige, Sans Neige II, Low Water, and Diabolo (neige et fleurs), all dating to 1969, share a similar color palette and degradation phenomenon in thickly applied cadmium yellow brushstrokes. Samples from three works were studied using Raman and FTIR spectroscopies, stereo microscopy, and scanning electron microscopy with energy dispersive spectrometry. A protocol was developed at CMOA for the consolidation of the crumbling yellow matte impasto through the careful application of funori with gentle manipulation of the paint. Acrylic fills were used to mimic Mitchell’s paint handling in areas of loss, and the fills were textured and inpainted using funori with ground original paint samples that had detached and could not be reattached to the painting’s surface. The treatment was successfully repeated at the IMA through online collaboration with CMOA during the COVID-19 pandemic. Samples were analyzed to identify, for the first time, the artist’s late 1960s palette. Waxy nodules observed in cross sections of the crumbling yellow paint were determined to be zinc stearate agglomerates, focused along break edges and incipient cracks, strongly suggesting a relationship between the instability of the paint and these zinc soaps. Full article

Background: Whether financial deepening and trade integration support or hinder environmental sustainability in hydrocarbon-dependent economies remains contested. Methods: This study examines the relationships among financial inclusion, energy intensity, trade openness, and CO₂ emissions per capita in Saudi Arabia for 1980–2020. The empirical strategy combines ARDL bounds testing, FMOLS, DOLS, CCR robustness, Toda–Yamamoto causality, and a battery of structural-break tests comprising Zivot–Andrews unit-root tests, Bai–Perron sup-F tests, and Chow tests. To address the mechanical correlation between carbon productivity and GDP, the per capita emissions specification (LNCP) is used as the primary outcome; carbon productivity (LNES) is reported for robustness. The small-sample sub-period results are stress-tested using ridge regression, residual-bootstrap confidence intervals, a GDP-augmented (scale-control) specification, and a break-date sensitivity analysis. Results: Cointegration is established. The Chow test identifies a significant break in the cointegrating relationship at 2001 (F = 7.36, p < 0.001 for LNCP), supported by the Zivot–Andrews endogenous-break dates for the financial-inclusion series (2000) and trade-openness series (2005), and by the Bai–Perron sup-F test (sup-F = 26.37 at 1990, exceeding the 1% Andrews critical value). Sub-sample re-estimation around 2001 shows that energy intensity, urbanisation, and trade openness are robust drivers of per capita emissions only after the break, while financial inclusion is statistically insignificant in both regimes once the GDP–carbon-productivity mechanical relationship is removed. Conclusions: The Saudi finance–environment relationship is structurally unstable, and policy assessments based on full-sample averages can be misleading. The evidence is best read as describing regime-dependent, conditional long-run associations rather than as identifying structural causal effects. By exposing the interactions, synergies, and trade-offs among financial deepening (SDG 8), energy efficiency (SDG 7), sustainable consumption and production (SDG 12), and climate action (SDG 13), the study shows how this descriptive quantitative evidence can inform—rather than directly identify—an instrument-level policy discussion. The findings are consistent with a Vision 2030 mix that prioritises energy efficiency and green-finance reform, with implications for SDG Targets 7.3, 8.10, 12.2, and 13.2 across oil-exporting economies. Full article

The present paper highlights a critical assessment of the large-scale production and accumulation of date palm (Phoenix dactylifera) by-products. These have been identified as both serious environmental problems and potential renewable energy sources. Landfilling, burning in fields, and other such poor methods are common among many of the countries producing dates as ways to dispose of huge amounts of date palm by-products. The current literature has been assessed for their utilization in energy generation in the form of a circular bioeconomy with respect to the characteristics and composition of date palm seeds, leaflets, rachis and fibers. The study reveals that thermochemical conversion methods such as pyrolysis, gasification and hydrothermal processes are very efficient for the conversion of date palm residues into bio-oil, syngas and biochar. The resulting bio-oils are, however, rich in oxygen, acidic and unstable in nature and need to be upgraded using a catalytic process. Moreover, the review highlights that advanced catalytic technologies can greatly improve the quality of fuel through deoxygenation and the synthesis of hydrocarbons, resulting in the production of “drop-in” gasoline components and SAFs that have characteristics close to those of regular petroleum-based fuels. Also, artificial intelligence- and machine learning-based modeling techniques appear to offer considerable prospects in the realm of thermokinetic studies, process design, and large-scale implementation. Furthermore, the results point out two environmental advantages that accrue from the date palm valorization process, since biochar generated via thermochemical transformation can be used for seawater desalination. Lastly, the techno-economic evaluation and roadmap of future development directions are provided. Full article

This research provides new insights into the materials, methods of application and modification of the black lines used by Piet Mondrian (1872–1944) in his Neoplastic works. Interesting information was gained from letters and studio photographs, the making of mock-ups and reconstructions, and the in-depth study of four paintings, dated between 1921 and 1938, in the collection of Fondation Beyeler (Riehen/Basel, Switzerland)—Tableau I (1921–1925), Composition with yellow and blue (1932), Composition with double line and blue (1935) and Picture no. III (1938)—as well as the examination of an unfinished painting, Composition with red (1934, private collection). The four paintings were investigated with high-magnification stereomicroscopy, technical photography in transmitted light and raking light, X-rays and infrared reflectography. Detailed information about the buildup and composition of the layers was gathered with the study of cross sections and microsamples, using optical microscopy and chemical analyses. It was shown that Mondrian frequently moved the lines and changed their width up to the very last working phase and, probably, did not use a ruler in the traditional sense to achieve straight lines. In one of the works, Mondrian even employed a pencil, tracing a groove in the wet paint to accentuate straight edges. The black lines consist of multiple paint layers of diluted bone black oil paint, added with small amounts of coloured paint, alternated with thin oil-resin layers, sometimes containing lead white particles. Finally, a thin (pigmented) oil-resin finish was applied on top of the black line. Full article

Sunflower is predominantly cultivated and extensively studied as an oil-type crop, which has contributed to the development of broad genetic variability within oil-type germplasm. In contrast, ornamental sunflower has received considerably less research attention. Therefore, the existing genetic variability of oil-type sunflower represents a valuable resource that can be explored and tested for ornamental traits, including postharvest performance and suitability for cut-flower production. This is particularly relevant given the increasing market demand for decorative sunflower types and the growing interest in diversified cut-flower assortments. The objective of this study was to assess the ornamental potential of oil-type sunflower genotypes, with particular emphasis on postharvest performance of cut-flowers. Genotypes from the breeding collection of the Institute of Field and Vegetable Crops, Novi Sad, were evaluated for key ornamental morphological traits and postharvest longevity. The experiment comprised treatments combining two storage regimes (room conditions and chamber storage) and two holding solutions (distilled water and 10% sucrose), applied across two sowing dates. To identify possible structural determinants of postharvest behavior, three morphologically contrasting genotypes (ĆMD U 12, AS 87, and LIP P 98) were further subjected to anatomical analysis of the peduncle. Postharvest longevity was significantly affected by genotype, sowing date, storage regime, sucrose treatment, and their interactions, demonstrating the strong influence of both genetic background and postharvest handling conditions. Chamber storage consistently affected postharvest longevity in most genotypes, while sucrose supplementation further improved it in several genotypes. Substantial genotypic variation in postharvest performance was detected. Substantial genotypic variation in postharvest performance was detected. Genotype ĆMD U 12 exhibited outstanding postharvest longevity under several storage environments, particularly in the second sowing date, whereas AS 87 showed markedly reduced postharvest longevity, particularly under ambient storage conditions. Morphological traits alone were not reliable predictors of postharvest longevity. In contrast, anatomical analyses revealed clear differences in peduncle tissue organization and vascular architecture among the selected genotypes, indicating that variation in supportive tissues and xylem vessel characteristics may play an important role in postharvest water relations and flower postharvest longevity. The results demonstrate the potential of IFVCNS oil-type sunflower germplasm for developing ornamental cut-flower genotypes adapted to dense sowing conditions, while also identifying postharvest treatments that significantly improve postharvest longevity and commercial usability. Full article

Rapeseed is a major source of vegetable oil and contains a wide variety of metabolites. Recent advances, particularly the integration of metabolomics with other omics approaches, have enabled not only comprehensive but also detailed analyses of key metabolites that respond to specific conditions. To date, these recent advances in the metabolomics of Brassica crops have not yet been fully clarified. In this review, we seek to summarize the recent progresses in metabolomics studies of Brassica rapa, B. napus and B. juncea, introduce the key metabolites spanning nucleic acids, amino acids, fatty acids, lipids, organic acids, alkaloids, phenylpropanoids, terpenoids, flavonoids and glucosinolates uncovered by this approach, focusing on those associated with growth and development, and abiotic/biotic stresses, including macronutrient availability, temperature, water stress, salt stress, aluminum and cadmium toxicity, and infection of Sclerotinia sclerotiorum, Leptosphaeria maculans, and Plasmodiophora brassicae. Future perspectives and current challenges in metabolomics integrating with other omics are also discussed, along with its potential for breeding applications, especially in new marker discovery, trait prediction, and even metabolic selection, aimed at developing new rapeseed varieties with stable, high-yielding, and quality traits. Full article

Upstream oil and gas operations generate large volumes of multivariate data from seismic surveys, well logs, production sensor networks, and reservoir simulation models. Advances in machine learning, artificial intelligence, and other Industry 4.0 technologies are increasingly enabling data-driven applications across exploration, reservoir characterization, drilling optimization, and production forecasting. However, publicly available upstream datasets vary substantially in data modality, labeling strategy, machine learning compatibility, and benchmark maturity. To date, no standardized framework or taxonomy exists to guide dataset selection, benchmark design, or cross-study comparison. This study addresses that gap by proposing a structured, machine learning-centric taxonomy that organizes upstream datasets according to properties that are directly relevant to machine learning requirements. The proposed taxonomy provides a shared reference framework to support consistent dataset description, informed selection, and reproducible benchmarking in upstream machine learning research and applications. Full article

The standard for effective communication between Internet of Things (IoT) devices has been demonstrated by the increasing demand for IoT technologies in Industry 5.0, along with the growing use of actuators, sensors, and automated processes in these settings. De-vice-to-device interactions controlled by communication protocols that specify data sharing are essential to effective operation. By establishing a single standard that permits plug-and-play integration and improves flexibility across various IoT devices, the IEEE 1451 standard represents an approach. This standard ensures interoperability and enables smooth communication with devices from various companies, regardless of their features. By addressing major obstacles to system integration, the IEEE 1451 standard enables IoT technologies to reach their full potential. By integrating information technology (IT) through automation and industrial control systems (ICSs), the Industrial IoT (IIoT) is transforming many industries, especially essential sectors such as energy, chemicals, oil and gas, and water plants. Although drinking water is an essential resource for life and an aspect of technological progress, little is known about the potential for cyberattacks, including the disastrous consequences they could have for water treatment plants. This re-view identifies and documents several adversarial cyberattacks targeting the water distribution and purification sector. Understanding the range of risk factors in this sector is our primary objective. This study presents a technical assessment from an IIoT perspective that addresses attack scenarios, real-world instances of cyberattacks in the water industry, a range of security challenges, and security measures. The contribution is an informative, up-to-date resource that benefits both prospective scholars and industrial practitioners. By integrating key findings to build a secure and reliable digital future, this work will advance a comprehensive understanding of the cybersecurity environment in water plants in Industry 5.0 and smart cities. Full article