Search Results (899)

Background/Objectives: Vascular diseases remain a leading cause of global mortality, yet the dietary and lifestyle factors that contribute to them are not fully understood in Central Anatolian populations. This study aimed to quantify the dietary and lifestyle predictors of vascular disease status in a case–control cohort from a tertiary care setting in Yozgat province. Methods: A total of 1452 adults were enrolled from Yozgat Bozok University Research Hospital: Cardiovascular Surgery (CVS; cases, n = 720) and Primary Care (PC; controls, n = 732). All participants completed a 43-item questionnaire on diet, lifestyle, and sociodemographic characteristics. Binary logistic regression was used to identify independent predictors of case status, with age, sex, education, and income being included in the model. Results: Chronic comorbidities were present in 33.9% of the control group and 80.3% of the case group. Use of olive oil was most strongly associated with control status (odds ratio [OR] = 0.17; 95% confidence interval [CI]: 0.11–0.27), followed by use of butter (OR = 0.25). Paradoxically, fast food (OR = 0.24) and junk food (OR = 0.31) consumption were more frequent among controls. The use of sunflower oil (OR = 2.30), diabetes (OR = 5.22), and elevated serum ferritin (OR = 1.04 per 10 ng/mL) independently predicted a higher likelihood of being in the case group. The model explained 54.8% of the variance (Nagelkerke R² = 0.548). Conclusions: The apparently higher prevalence of unhealthy dietary behaviours among controls is most plausibly attributed to post-diagnosis dietary modification among cases (an ‘illness effect’), underscoring the window for intervention before disease onset. As this case–control design precludes causal inference, these associations are hypothesis-generating. Promoting olive oil and reducing sunflower oil represent practical, culturally feasible dietary targets for cardiovascular risk counselling in Central Anatolia, pending prospective confirmation. 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

The valorization of winemaking by-products is a sustainable strategy consistent with circular bioeconomy principles and current public health priorities. This study aimed to evaluate residual oenological yeast sediment from local Moldovan grape varieties, Viorica and Fetească Regală, as a multifunctional ingredient and partial fat replacer in muffins. Sunflower oil was replaced with wine lees (WL) at 20%, 35%, and 50%, and the obtained products were analyzed in terms of physicochemical, nutritional, microbiological, colorimetric, and sensory characteristics. WL incorporation reduced the caloric value by up to 10% and decreased lipid content, while contributing to higher protein and dietary fiber levels. Moisture values remained within acceptable limits, whereas titratable acidity increased with the substitution level (p < 0.05). Muffin density showed a slight increase, and water absorption capacity improved markedly, reaching 269%, mainly due to the fiber-rich composition of WL. Color analysis indicated reduced lightness and increased redness, associated with yeast pigments and thermal reactions during baking. Microbiological results showed lower total viable counts with increasing WL addition; however, the 50% substitution level exceeded the permissible limits for yeasts and molds. Sensory evaluation indicated that the muffin with 20% WL was the most acceptable sample. Overall, WL may be considered a promising sustainable ingredient for developing reduced-fat muffins with improved nutritional value. Full article

Soil salinization commonly prevails in global arid and semi-arid areas, shrinking farmland and endangering ecological, agricultural and social sustainability. Therefore, it is essential to develop effective strategies for salinized soil remediation. In this study, soil samples were collected from Nanliang Farm in Yinchuan, China. Compound microbial strains (CMS) and humic acid (HA) were selected as soil amendments. A total of eight treatments with different application rates of CMS and HA were set up in pot cultivation experiments, where oil sunflower was planted. The results showed that both amendments effectively elevated soil water content and chlorophyll content, as well as multiple physiological indices of sunflower. Meanwhile, they decreased soil total salinity, proline content and malondialdehyde (MDA) content. For single humic acid treatments, Treatment F1 achieved the optimal amelioration effect: it reduced soil total salinity by an average of 24.34%, and increased sunflower plant height, leaf area and aboveground fresh weight by 5.84%, 95.01% and 77.40%, respectively. Among the single CMS treatments, Treatment S3 performed best, with an average reduction of 31.04% in soil total salinity, and increases of 5.66%, 2.85% and 8.16% in plant height, leaf area and aboveground fresh weight correspondingly. Notably, among all eight groups, the control group CK1 exhibited the most prominent improvement effect, which was significantly superior to F1 and S3. This finding suggests that long-term application (one year or more) of CMS can produce an especially strong ameliorative effect on salinized soil. Full article

Canned fish products enable long-term preservation of fish, a vital source of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). Despite research on lipid composition, gaps remain in understanding the bidirectional fatty acid (FA) exchange between fish muscle and coating media during processing and storage. After a systematic literature search across five databases (PubMed, Scopus, Web of Science, Wiley Online Library, Cochrane Library), 20 studies were included examining FA profiles across fish species, filling media (vegetable oils, brine, tomato sauce), and storage durations (up to 5 years). Five studies showed that n-3 FAs migrate from fish to the filling medium, enhancing its nutritional value, while fish muscle absorbs FAs from the oil, increasingly resembling the filling medium. The use of n-6 FA-rich oils (sunflower, soybean) lowered the n-3/n-6 ratio in flesh. Conversely, aqueous media (brine) and tomato sauce maintained better ratios. EPA and DHA content generally decreased due to canning and storage, with retention varying by fish species, filling medium, and sterilization method. This review underscores significant FA exchange between fish and filling media, confirming bidirectional lipid interchange during processing. To optimize health benefits, aqueous packing media are recommended to preserve lipid profiles or to consume the covering oil to recover nutrients. Further research is needed on other factors altering FA content in canned fish such as environmental and geographical variables (including catching season), pre-canning preparation and sterilization steps (such as freezing, steaming, and frying), sterilization conditions (time, temperature, F₀ value) and lipid oxidation induced by thermal processing. Full article

Traditionally, various herbs and spices are used to enhance the flavor and aroma of vegetable oils, but also to improve their nutritional value and stability. The aim of this work was to investigate the effects of sea fennel, an aromatic edible Mediterranean halophyte plant, leaf infusion, on the chemical composition of four unrefined edible vegetable oils (olive, sunflower, sesame and flaxseed oil). During the 90-day storage period, the quality parameters of the oils (peroxide value, free fatty acids and fatty acid profile), as well as their volatiles, were monitored. Free fatty acids and peroxide values increased in all samples, with the greatest increase in the olive oil (11% and 45%, respectively), while the effect on the fatty acid profile was negligible. Gas chromatography-mass spectrometry analysis showed the effect of oil aromatization by sea fennel components and confirmed the differences between oil samples. The results suggest that the addition of sea fennel to vegetable oils leads to changes in their chemical composition, and the parameters tested varied between the oils used. Full article

The question of verification of food quality has stood before scientists since ancient times, and, nowadays, the advances in science and technology have made it a very challenging task. Laser-induced fluorescence (LIF) spectroscopy has become a very useful instrument for sample characterization. Nevertheless, analysis of complex multi-component spectra is difficult to approach. In recent years, the capabilities of artificial intelligence have attracted a lot of attention, as they open doors to efficient solutions of many problems that otherwise require a lot of time, effort, expenses and often inspiration. In the present work, we use LIF spectra of mixtures of sunflower and extra virgin olive oils with different concentrations and apply neural network (NN) algorithms with the aim of improving the strategies for concentration determination. Two different approaches have been applied and their output has been compared and commented. More specifically, the task of concentration recognition has been targeted as a classification and as a fitting problem. We formulate four diagnostic parameters with biochemical meaning and compare the NN performance when training with raw spectra and with the diagnostic parameters. The correct choice of appropriate diagnostic parameters is of importance from the point of view of biochemical interpretability and analysis, whereas “black box” full-spectra training might be beneficial for end-user applications. Our results show that these methods perform well even with very scarce data and outline preliminary strategies for defining diagnostic criteria. Full article

This study focuses on the design, optimization, and evaluation of a biodiesel production process involving the transesterification of waste cooking oil (WCO) using a heterogeneous calcium oxide (CaO) catalyst derived from waste eggshells. The work is divided into two main parts. The first focuses on the laboratory preparation, characterization, and performance of the CaO catalyst, while the second translates the experimentally optimized conditions into a process-scale model using Aspen HYSYS to assess industrial feasibility. Waste eggshells were cleaned, dried, ground, and calcined at high temperature to produce the CaO heterogenous catalyst. The catalyst was characterized by Simultaneous Thermogravimetric-Differential Scanning Calorimetry (TG-DSC) and Fourier Transform Infrared Spectroscopy (FTIR). Transesterification experiments were conducted in a batch round-bottom flask reactor where CaO was added to sunflower oil and methanol, and multiple operating parameters were varied to determine the optimal conditions. The catalyst exhibited its best performance after calcination at 900 °C for 2 h. A maximum biodiesel yield of 95 wt.% was obtained at a methanol-to-oil molar ratio (MOMR) of 9:1, reaction time of 2 h, stirring speed of 700 rpm, temperature of 60 °C, and catalyst amount of 3 wt.%. In addition, the eggshell-derived CaO catalyst maintained a biodiesel yield close to 95% over three consecutive reuse cycles, demonstrating good reusability and catalytic stability. The produced biodiesel complied with ASTM standards. Based on these results, the process was then scaled up by simulating a continuous industrial biodiesel production plant using Aspen HYSYS. The model proved practical, achieving a biodiesel purity of 99.85%. Further process optimization, including methanol recovery and heat integration, reduced fresh methanol consumption by 60% and overall energy requirement by 25%. The combined experimental and simulation results demonstrate that energy efficiency and waste valorization enable a biodiesel production pathway that is both environmentally and economically sustainable and aligned with circular economy principles and sustainable development goals. Full article

Background/Objectives: Sunflower (Helianthus annuus L.) is one of the four major oil crops worldwide and possesses strong stress tolerance. However, salt stress remains limiting in the improvement of sunflower yield and quality. Methods: In this study, the salt-tolerant cultivar P50 and salt-sensitive cultivar P29 were used as experimental materials to conduct transcriptome sequencing on root and leaf samples treated with NaCl. Subsequently, the molecular mechanisms underlying salt tolerance in sunflower were revealed through assembly and splicing, functional annotation, differential expression analysis, enrichment analysis, and transcription factors (TFs) prediction. Results: Results showed that 54,860,184 and 60,601,572 high-quality clean reads were obtained from the two cultivars, respectively. A total of 110,751 all-unigenes were generated after assembly and clustering, of which 77,536 were functionally annotated. A total of 21,332 differentially expressed genes (DEGs) were identified, including 10,306 upregulated and 11,026 downregulated genes. Quantitative real-time PCR validation of 15 DEGs showed a 93.33% consistency rate with the sequencing data. GO enrichment analysis indicated that DEGs were significantly enriched in pathways related to antioxidant enzyme activities. KEGG enrichment analysis demonstrated that DEGs were primarily involved in 15 carbohydrate metabolism pathways, especially starch and sucrose metabolism. In addition, 67 differentially expressed TF families containing 528 DEGs were identified, including bHLH, AP2/ERF-ERF, MYB, C3H, WRKY, EREBP, B3-ARF, and NAC. Conclusions: Our study constructed a comprehensive transcription map of the sunflower response to salt stress and systematically elucidated the molecular mechanisms underlying salt tolerance. The salt-tolerant sunflower cultivar P50 exhibits an efficient salt stress defense system via three core strategies: (i) activating the antioxidant system to rapidly scavenge excess reactive oxygen species and mitigate oxidative damage; (ii) regulating carbohydrate metabolism through starch and sucrose redistribution to provide energy and osmotic protection against physiological drought; and (iii) mobilizing multiple TF families to establish a complex regulatory network for the precise control of downstream functional genes. Full article

Kiwano (Cucumis metuliferus) peel, although rich in carotenoids and polyphenols with notable antioxidant capacity, is still an underused resource. This study explored its valorization through cloud point extraction (CPE) and its direct integration into nanoemulsion systems. The innovative aspect lies in reusing the CPE as a stabilizing agent, creating a closed process that efficiently incorporates bioactive compounds. In the first phase, oil-in-water nanoemulsions were prepared with sunflower oil, Tween 80, and different polysaccharides (pectin, carboxymethyl cellulose—CMC, and their blends). Their stability, droplet size, surface charge, rheological, mechanical, and barrier properties were thoroughly assessed. CMC-based formulation displayed the most favorable characteristics, particularly strong stability and tensile strength, and was selected as the optimal system. In the second phase, kiwano peel extract was incorporated at three concentrations (5, 10, and 15 wt%). While extract addition lowered tensile strength, it improved elongation at break, suggesting a plasticizing effect. Moreover, extract-loaded emulsions exhibited smaller droplets, high stability, and significantly enhanced antioxidant activity compared to unloaded systems. These results demonstrate that kiwano peel can be sustainably valorized through CPE and integrated into nanoemulsions, offering promising bioactive formulations for future applications in food science. Full article

Understanding how geometry, surface condition, and polarity influence surface flashover is important for improving the reliability of polymeric insulation in high-voltage systems exposed to transient overvoltages. The purpose of this study was to experimentally investigate visible arc path behaviour on polymeric insulators made of polymethyl methacrylate (PMMA), polyvinyl chloride (PVC), and nylon under standard 1.2/50 µs lightning voltage impulses. Cylindrical, concave, and convex profiles were tested in a rod–plane configuration for both positive and negative polarities under clean and sunflower oil- coated surface conditions. Seven arc types were observed. While the visible arc path was governed mainly by geometry and polarity, the electrical breakdown response exhibited material-dependent effects. Positive-polarity oil-coated samples generally exhibited longer time-to-breakdown, while negative-polarity tests produced higher breakdown voltages, and oil often reduced the withstand level. The large variability in time-to-breakdown data indicates that impulse flashover is strongly stochastic and sensitive to small surface or field variations. The findings highlight the need for improving control of surface films, expanding environmental testing, and conducting further modelling to predict flashover behaviour across different insulator designs. Full article

Oat beverages are widely consumed as dairy alternatives; however, there is still limited understanding of how the source and structural organization of added lipids influence their physicochemical functionality and sensory perception. This study aimed to evaluate whether the type of lipid source used in commercial oat-based products can explain variability in lipid quality and consumer acceptability. Lipid fractions were extracted from 10 commercial oat-based products available on the Polish market, including 5 ready-to-drink beverages and 5 powdered products reconstituted with water. The extracted lipids were analyzed for fatty acid (FA) composition, positional distribution of FAs in triacylglycerols, melting behavior, and oxidative stability, complemented by sensory evaluation. Marked differences were observed among samples, primarily driven by the lipid source rather than product form. Products containing sunflower oil exhibited a favorable FA profile characterized by a high proportion of unsaturated FAs and relatively good oxidative stability. In contrast, oat-only formulations showed lower oxidative stability and reduced sensory performance, particularly in terms of taste and texture. The sample containing coconut fat demonstrated the highest oxidative stability (τ_max = 333.48 min) but the least favorable nutritional profile due to a predominance of saturated FAs (85.43% SFA). The highest overall sensory acceptance was recorded for sample L1 (overall desirability = 7.00). Overall, the findings demonstrate that lipid source is a key determinant of the nutritional, physicochemical, and sensory properties of oat beverages, while product format (liquid vs. powder) plays a secondary role. These results address the knowledge gap regarding the relationship between lipid origin and functional performance in plant-based beverages and highlight formulation strategy as a critical factor in product optimization. Full article

Fatty acid abundance is a key parameter for evaluating the quality of edible oils. This study developed a rapid and non-destructive method for predicting palmitic acid content in edible oils by combining visible-near-infrared (Vis-NIR) reflectance spectroscopy with deep learning models. A total of 1740 reflectance spectra in the range of 350–2500 nm were collected from 87 brands of edible oils, including peanut, soybean, corn, sunflower, rapeseed, sesame, and olive oils. Reference values of palmitic acid content were determined via gas chromatography–mass spectrometry (GC-MS). Two conventional machine learning models (SVR and KNN) and four deep learning models (1D-CNN, 1D-ResNet, 1D-Inception, and 1D-Inception-ResNet) were developed and compared using both full-spectrum data and CARS selected characteristic wavelengths. Among the full-spectrum models, the designed 1D-ResNet model achieved the best performance, with the determination coefficient of prediction ($R_p^2$) of 0.9027 and the root mean square error of prediction ($RMS{E}_p$) of 1.13 in the prediction dataset. The proposed 1D-Inception-ResNet model yielded the best prediction results based on the 91 selected informative wavelengths via competitive adaptive reweighted sampling (CARS), achieving an $R_p^2$ of 0.9825 and an $RMS{E}_p$ of 0.4804 in the prediction dataset. The experimental results indicated that Vis-NIR reflectance spectroscopy combined with informative wavelength selection and deep learning models provided an effective strategy for rapid prediction of palmitic acid content in edible oils. Full article

Walnut oil is growing in consumer demand due to its rich nutritional profile; however, its fatty acid composition exhibits an imbalanced SFA:MUFA:PUFA ratio (0.13:0.18:1). To improve the fatty acid balance using locally available vegetable oils in Xinjiang, we investigated the effects of blending walnut oil with linseed oil, safflower seed oil, sunflower seed oil, rapeseed oil, peanut oil, and soybean oil on physicochemical indexes, fatty acid composition, and bioactive components. Aroma characteristics were assessed by E-nose and HS-GC-IMS. The results showed that the acid value and peroxide value of the blended oil decreased, while the content of vitamin E and squalene increased inversely. The ratio of ω-6/ω-3 maintain steadily at 4–6:1, and the ratios of SFA, MUFA, and PUFA were close to 0.27:1:1. Significant differences were observed between the aroma characteristics of walnut oil and the blended oil. HS-GC-IMS identified 85 volatile organic compounds (VOCs), among which walnut oil had a higher content of alcohols, aldehydes, and ketones, with 4-hydroxy-5-ethyl-2-methyl-3(2H)-furanone as its characteristic aroma compound. The acetophenone serves as the key aroma component after blending, and the unique flavor components of each base oil (e.g., 4-nonanone in linseed oil, 3-methyl-2-pentanone in rapeseed oil, etc.) exert a synergistic effect after rationing to present a composite aroma characteristic of blended oils, which mainly consists of 3-methylbutyl butyrate and 4-ethylphenol. Full article

This study evaluated the effects of dietary PUFA supplementation on growth performance, serum biochemical indices, rumen morphology, ruminal fermentation, and rumen microbial communities in Hu sheep. Thirty healthy male Hu sheep (80 days old; 18.70 ± 0.72 kg) were randomly assigned to three groups (n = 10/group) and fed a basal diet supplemented with 4% rumen-bypass palmitic acid fat powder (POS), 4% linseed oil (LO; rich in ω-3 PUFA), or 4% sunflower oil (SO; rich in ω-6 PUFA). PUFA supplementation did not affect average daily gain or rumen tissue morphology (p > 0.05), but it significantly reduced serum creatinine, uric acid, and high-density lipoprotein concentrations (p < 0.05). Orthogonal comparative analysis showed that supplementing with PUFA significantly reduced acetate and propionate, while increasing isobutyrate, butyrate, isovalerate, and TVFAs (p < 0.05). The levels of propionate, butyrate and TVFAs in the SO group were higher than those in the LO group (p < 0.05), and the ratio of acetate to propionate was lower (p < 0.05). Supplementing with PUFA reshaped the rumen microbiota, increasing the relative abundances of Bacteroidota, Firmicutes, Euryarchaeota, Cyanobacteria, and Actinobacteriota, while decreasing Proteobacteria and Desulfobacterota (p < 0.05). At the genus level, Prevotella and Rikenellaceae_RC9_gut_group were enriched in both groups with added PUFA, while Prevotellace-UCG-001 was specifically enriched in the LO group; in contrast, Prevotella_7, Succinivibriaceae_UCG-001, Prevotella_9, and Dialist all showed a decrease (p < 0.05). The alpha diversity increased, while the beta diversity showed significant differences between the group with added PUFA and the control group. Functionally, LO enriches carbohydrate and energy metabolism, while SO enriches nucleotide metabolism. In summary, linseed oil and sunflower oil improved serum indices and ruminal fermentation without impairing growth, but through distinct microbial and functional pathways. Full article