Search Results (15,807)

The development of sustainable alternatives to fossil-based feedstocks is a global priority in light of climate change and resource depletion. Seaweeds, particularly green seaweeds, represent promising candidates for biorefinery applications due to their rapid growth, high carbohydrate content, and non-competition with arable land. In this study, the feasibility of lactic acid production from acid hydrolysates of the green seaweed Ulva pertusa was systematically investigated. Proximate composition analysis revealed that dried Ulva pertusa contained 52.3% carbohydrates, highlighting its suitability as a fermentation substrate. Acid hydrolysis with dilute sulfuric acid released 23.8 g of fermentable monosaccharides per 100 g of biomass, with L-rhamnose and D-glucose as the predominant sugars. Fermentation experiments were conducted using five Lactobacillus strains (L. casei, L. plantarum, L. brevis, L. salivarius, and L. rhamnosus). Among these, L. rhamnosus and L. salivarius achieved the highest lactic acid yields (0.66 g g⁻¹), followed by L. plantarum (0.63 g g⁻¹), whereas L. casei and L. brevis exhibited comparatively lower yields (0.46 and 0.39 g g⁻¹, respectively). Time-course analysis demonstrated that the superior strains reached maximum productivity within 9 h, significantly faster than typical lignocellulosic feedstocks such as corn stover, which require extensive pretreatment and longer fermentation times. Furthermore, the mineral-rich composition of Ulva pertusa (notably Mg²⁺ and Ca²⁺) provided intrinsic nutrients that supported microbial growth, thereby reducing the requirement for external supplementation. Comparative evaluation with lignocellulosic hydrolysates confirmed that Ulva pertusa offers higher efficiency, faster kinetics, and lower process complexity. To our knowledge, this work represents the first comprehensive assessment of multiple Lactobacillus strains for lactic acid production from Ulva pertusa hydrolysates. The findings highlight the unique advantages of green seaweeds as a sustainable biomass resource and contribute to the advancement of marine biomass-based biorefineries. Future studies should focus on improving the utilization of non-fermentable sugars, optimizing fermentation strategies, and evaluating techno-economic feasibility on an industrial scale. Full article

To explore the application potential of insect-derived functional microorganisms in short-cycle leafy vegetable production, we evaluated the effects of Serratia marcescens BRC-CXG2, isolated from larvae of Monochamus alternatus, on romaine lettuce in a pot experiment. Plant growth traits, biomass accumulation, nutritional quality, endogenous hormones, and rhizosphere microbial communities were systematically evaluated. The results demonstrated that inoculation significantly promoted seedling development. Plant height and root length increased by 48.7% and 29.1%, respectively, while shoot and root dry weights were 1.78- and 1.85-fold higher than those of the control. Vitamin C and total sugar contents increased by 76.4% and 98%, respectively. The levels of gibberellins (GA₃)-, indole-3-acetic acid (IAA)-, and abscisic acid (ABA)-immunoreactive equivalents increased by 1.5-, 1.29-, and 1.75-fold. High-throughput 16S rDNA gene and ITS amplicon sequencing further revealed that inoculation reshaped the composition of bacterial and fungal communities in the rhizosphere. Collectively, these findings demonstrate that insect-derived S. marcescens exhibits significant growth-promoting potential in short-cycle leafy vegetable systems, with effects associated with hormone regulation, enhanced total sugar accumulation, and shifts in rhizosphere microbial community structure. Full article

Soil hypoxia caused by waterlogging severely restricts kiwifruit growth, and screening waterlogging-tolerant rootstocks and analyzing their mechanisms are of great significance for industrial development. In this study, waterlogging-tolerant Actinidia valvata ‘Shuixiu’ was used as the test material and Actinidia chinensis ‘Hongyang’ as the control. Waterlogging stress was simulated artificially, and physiological measurements combined with transcriptome sequencing were used to explore its waterlogging tolerance regulatory characteristics based on respiratory metabolism. The results showed that the waterlogging tolerance of ‘Shuixiu’ was significantly better than that of ‘Hongyang’. It upregulated sucrose synthase and α/β-amylase genes and inhibited the continuous up-regulation of trehalose-6-phosphate synthase genes, leading to significant accumulation of glucose-6-phosphate, a key glycolytic substrate. Some members of glycolytic key gene families, such as glucose-6-phosphate isomerase and phosphofructokinase, were upregulated in ‘Shuixiu’, which increased phosphoglycerate kinase activity and accumulated 3-phosphoglyceric acid and pyruvate, ensuring efficient conversion of carbon sources to ATP. Some members of core tricarboxylic acid cycle gene families, such as pyruvate dehydrogenase and citrate synthase, were upregulated in ‘Shuixiu’, with significantly higher pyruvate dehydrogenase activity and acetyl coenzyme A content, maintaining partial aerobic respiration capacity. Some members of the alanine transaminase gene family were upregulated in ‘Shuixiu’ to enhance alanine fermentation, resulting in a significant reduction in root ethanol accumulation. This study clarified the core respiratory metabolic regulatory characteristics of kiwifruit in response to waterlogging and provided key targets and a theoretical basis for molecular breeding of waterlogging-tolerant rootstocks. Full article

Commodity and carbon markets are central to natural resource allocation, energy security, and the effectiveness of carbon-pricing policies, yet their risk linkages can intensify sharply during crises. This study examines nonlinear, tail-dependent volatility spillovers across strategically important resource markets using a Quantile-on-Quantile connectedness framework. We employ weekly observed data from 3 January 2010 to 27 April 2025 for eleven futures markets spanning metals (copper, silver, gold), energy (WTI crude oil, heating oil, natural gas, gasoline), agricultural commodities (sugar, coffee, corn), and carbon emissions. Volatility is measured using GARCH-based estimates and embedded in quantile VAR dynamics to map state-contingent shock transmission across the distribution. The results indicate strong asymmetries: connectedness rises markedly in tail regimes and attains its highest levels during the COVID-19 pandemic and the Russia–Ukraine war, relative to the 2015–2016 energy market adjustment. Heating oil, gold, and natural gas frequently act as key volatility transmitters, while the carbon market shifts from a peripheral receiver to a more integrated and sometimes systemic node within the broader commodity risk network. The findings indicate that carbon-price risk propagates through resource markets in a regime-dependent manner, with implications for stress testing, tail-sensitive hedging, and the coordination of resource and climate policy under turbulent market states. Full article

Taizishen is a traditional Chinese medicinal herb derived from the dried tuberous roots of Pseudostellaria heterophylla. This study investigated the compositional variation of Taizishen from main producing (MP) and non-main producing (NP) areas across five Chinese provinces. Analysis of total saponins, flavonoids, and heterophyllin B showed the highest contents in Jurong samples, followed by Zherong. Untargeted metabolomics identified 651 metabolites in all samples. Principal component analysis revealed a distinct metabolic profile for the sample from Zherong, which differed significantly from other MP areas, showing 32 consistently upregulated (e.g., amino acids, terpenes) and 25 downregulated metabolites (e.g., lipids, alkaloids). Notably, key differential metabolites such as fraxetin and ethyl caffeate were enriched in Zherong samples. The number of differential metabolites between MP and NP areas varied by province. Antioxidant activity also varied regionally, being highest in the sample from Jurong and weakest in the sample from Duyun. Correlation analysis indicated this activity was not linked solely to flavonoid or saponin content, suggesting a synergistic effect of multiple components. In addition, Zherong samples exhibited unique accumulation patterns for amino acids, sugars, and lipids. The significant metabolic and bioactivity variations highlight the need for a comprehensive, metabolomics-informed quality evaluation system for Taizishen. Full article

This study addresses the automatic classification of sugar beet seeds according to their spraying levels using RGB images, aiming to enable a fast, practical, and non-destructive early warning system without chemical analysis. A dataset of 16,519 seed images acquired under controlled lighting conditions was used to evaluate YOLOv8-CLS and YOLO11-CLS architectures, including the n, s, m, l, and x scale variants within the Ultralytics framework. All experiments were conducted using a 10-fold cross-validation strategy, with models trained under different batch size and learning rate configurations. The results indicate that both architectures achieve reliable performance, with accuracy values ranging from approximately 78–83% for YOLOv8-CLS and 80–82% for YOLO11-CLS models. ROC-AUC scores consistently above 0.94 demonstrate strong inter-class discrimination. Misclassification analysis shows that errors mainly occur between visually similar intermediate treatment levels, particularly 25% and 50%. Despite this challenge, low log-loss values and balanced precision–recall profiles indicate stable decision behavior. Overall, the findings confirm that sugar beet seed treatment levels can be effectively distinguished using only RGB imagery, providing a potentially low-cost and scalable approach for early warning and quality control in seed treatment processes. Full article

Excessive intake of sugar-sweetened beverages is a major source of dietary free sugars and is strongly associated with an increased risk of type 2 diabetes mellitus. Sweetened tea beverages, which are widely consumed across many Asian countries including Indonesia, represent an important target for sugar reduction. However, reducing sugar content often results in lower perceived sweetness and diminished consumer acceptance. This study examined the potential of floral aroma cues to support sugar reduction in sweetened green tea beverages. Formulations containing jasmine, rose, or lavender aroma were prepared at 100%, 80%, and 70% of the reference sugar level and evaluated by 182 panelists using hedonic rating, Just-About-Right (JAR) scaling with penalty analysis, and Rate-All-That-Apply (RATA) profiling combined with principal component analysis (PCA). Sugar reduction led to decreased perceived sweetness and liking in control samples, whereas jasmine and rose aromas significantly enhanced sweetness perception at reduced sugar levels. Notably, jasmine and rose maintained sweetness perception and overall liking at up to 30% and 20% sugar reduction, respectively. In contrast, lavender aroma provided limited sweetness enhancement and was associated with increased bitterness and astringency. Overall, these findings indicate that culturally congruent floral aromas, particularly jasmine and rose, can be strategically applied to support sugar reduction in sweetened tea beverages while maintaining consumer acceptance, contributing to sensory-driven reformulation strategies for supporting public health. Full article

Reliable property prediction in extrusion-based additive manufacturing remains challenging under extreme data scarcity (e.g., sample size of <50), particularly when experiments are constrained by designed studies such as Taguchi orthogonal arrays. In direct ink writing of lignocellulosic composites, limited experimental runs restrict the development of predictive models capable of guiding formulation and process optimization. This study introduces a physics-consistent data augmentation framework to enhance predictive reliability while preserving material-consistent behavior. Synthetic data are evaluated using four criteria: sensitivity to augmentation size, distributional consistency with experimental observations, stability with respect to boosting depth in regression modeling, and preservation of physics-consistent factor hierarchies through interpretability analysis. The framework is validated using compressive strength data from direct ink writing experiments conducted under an extremely small data regime. Results show that augmentation performance depends on the augmentation scale and model capacity. Variational autoencoder-based augmentation produced more stable and physically consistent predictions than conditional tabular generative adversarial networks in this application. Increasing predictive accuracy alone, or applying excessive augmentation, can distort material hierarchies and reduce physics consistency. The proposed evaluation framework supports reliable and interpretable property prediction in additive manufacturing when experimental data are severely limited. Full article

Storage temperature (ST) and grain moisture content (GMC) critically influence cereal quality during storage. However, their interactive effects, the associations among oxidative indicators, quality components and major volatile organic compounds (VOCs) variations in millet during storage are not fully understood. In this study, foxtail millet was stored for 360 days at three STs (−18 °C, 4 °C and 25 °C) and three GMC levels (11.50%, 12.80% and 14.30%). Changes in oxidative indicators (malondialdehyde [MDA], electrical conductivity [EC] and catalase activity [CAT]) and quality components (crude protein [CP], yellow pigment [YP] and soluble sugar [SS]) were monitored. Viscosity characteristics and VOCs were analysed after storage. Under this study, ST was the primary factor driving the changes in oxidative indicators and quality components during the storage stage. The viscosity characteristics of stored millet are primarily influenced by ST, while the changes in major VOCs are mainly affected by ST, GMC, and their interaction effects. Significant negative correlations were observed between EC or MDA and dodecanenitrile and (E/Z)-4-heptenal, whereas the YP, CP, and SS were significantly positively correlated with both compounds. After day 360, the samples stored at −18 °C with 11.5% GMC exhibited 34.05% lower MDA content and 29.55% lower EC than those stored at 25 °C with 14.3% GMC. The treatment better preserved CAT, SS, YP, viscosity characteristics and major VOCs, including (E/Z)-4-heptenal. These findings provide a scientific basis for optimising storage conditions to maintain the nutritional and sensory quality of foxtail millet. Full article

Sustainable revalorization of agave bagasse, a lignocellulosic residue from mezcal production, is essential for environmental management. This study evaluated its potential as a substrate for the in vitro cultivation of the wild edible mushroom Pleurotus agaves. Characterization revealed a robust lignocellulosic matrix (70.9–75.87% NDF, 42.05–51.18% ADF and 10% lignin) and significant antioxidant potential, particularly in A. marmorata, which also exhibited higher total reducing sugars (11.94 mg/mL). This provides an energetic advantage for initial mycelial growth. Substrate microstructure was analyzed via microscopy (CLSM/SEM) before and after thermal pretreatment (55 °C). The IE-2038 strain was tested in five formulations: straw (P-55), bagasse (B-55), and straw–bagasse mixtures at 50–50%, 25–75%, and 75–25%. Mycelial growth rates indicated that PB-55 and pB-55 exhibited the fastest fungal colonization (8.2 mm/day and 8.3 mm/day). Microstructural analysis revealed significant damage to the polymeric organization of the bagasse, caused by mezcal production techniques and thermal treatment. This damage made lignin and cellulose more accessible for P. agaves. This synergy is supported by the adaptation of P. agaves to agave stalks. These findings confirm the capacity of bagasse as a sustainably bioprocessed substrate for edible mushroom cultivation, providing an effective alternative for the revalorization of agro-industrial residues that contribute to the circular economy. Full article

Temporal reasoning in dynamic, data-intensive environments increasingly demands expressive yet tractable logical frameworks. Traditional approaches often rely on negation to express absence or contradiction. In such contexts, negation-as-failure is commonly used to infer negative information from the lack of positive evidence. However, for open and distributed systems such as IoT networks and the Semantic Web, negation-as-failure semantics become unreliable due to incomplete and asynchronous data. This has led to growing interest in negation-free fragments of temporal rule-based systems, which preserve monotonicity and enable scalable reasoning. This paper investigates the expressive power of negation-free Metric Temporal Logic (MTL), a temporal logic framework designed for rule-based reasoning over time. We show that the “always” operators ⊞ and ⊟, often treated as syntactic sugar for combinations of other temporal constructs, can be eliminated using “once”, “since” and “until” operators. Remarkably, even the “once” operators can be removed, yielding a fragment based solely on “until” and “since”. These results challenge the assumption that negation is necessary for expressing universal temporal constraints and reveal a robust fragment capable of capturing both existential and invariant temporal patterns. Furthermore, the results induce a reduction in the syntax of MTL, which, in turn, can provide benefits for both theoretical study as well as for implementation efforts. Full article

High-temperature (HT) stress during flowering causes male sterility and yield loss in soybean. MYB transcription factors are key regulators under abiotic stress, yet their function and mechanism in regulating male fertility under HT stress in soybean are not fully understood. In this study, a MYB transcription factor GmMYB21a in soybean was identified. GmMYB21a was induced by HT stress in soybean restorer line and was specifically expressed in pollen. Through overexpression and knockout experiments, we demonstrated that GmMYB21a positively regulated pollen viability and germination under HT stress. Overexpression of GmMYB21a significantly enhanced these traits in restorer line, whereas knockout plants exhibited the opposite effect. Transcriptome sequencing revealed that GmMYB21a overexpression upregulated numerous stress-responsive genes, particularly those involved in flavonoid biosynthesis and sugar metabolism. In addition, molecular experiments confirmed that GmMYB21a bound to the promoter of flavonoid synthesis gene GmCHI2-A and promoted its expression. In summary, our research indicated GmMYB21a enhanced the HT-tolerance of male fertility in soybean restorer line through reactive oxygen species scavenging and flavonoid synthesis. This study aims to elucidate the thermotolerance mechanism in soybean male fertility and identify genetic resources for breeding HT-tolerant restorer lines. Full article

Radish (Raphanus sativus L.) is an important vegetable resource in the food industry, generating substantial amounts of by-products during cultivation and distribution. Despite their richness in functional components, these by-products are largely underutilized. Accordingly, there is increasing interest in their valorization as functional food ingredients. This study evaluated the functional potential of radish by-products removed prior to distribution by applying cellulase pretreatment and Lactiplantibacillus plantarum fermentation individually or in combination. Radish samples were separated into leaf blade, stem, and taproot tissues and processed as untreated control, enzyme-treated, fermented, and enzyme-treated and fermented (EF) groups. The EF treatment significantly increased reducing sugar content, total polyphenols, and total flavonoids across all tissues, with the most pronounced enhancement observed in leaf by-products. In antioxidant assays, EF samples showed decreased IC₅₀ values in DPPH and ABTS radical scavenging assays and increased FRAP values, indicating superior antioxidant capacity. In lipopolysaccharide (LPS)-stimulated RAW 264.7 macrophages, EF-treated leaf extracts effectively suppressed nitric oxide and intracellular ROS production without cytotoxicity and exhibited the highest GSH/GSSG ratio, suggesting improved cellular redox balance. In contrast, interleukin-6 (IL-6) secretion varied depending on tissue type and processing condition, indicating that antioxidant enhancement does not necessarily correspond to uniform cytokine regulation. Collectively, these findings demonstrate that enzymatic pretreatment combined with lactic acid fermentation serves as an effective strategy to enhance the antioxidant and cell-protective properties of radish by-products, supporting their potential use as value-added functional food ingredients. Full article

Premium coffee depends on high-quality beans, influenced by a combination of genetic, environmental, and postharvest factors. This review summarizes the mechanisms underlying coffee bean quality, with an emphasis on the genetic differences between Coffea arabica and Coffea canephora, as well as the integrated roles of environmental conditions, agronomic practices, including nutrient and shade management, and postharvest processing technologies. The allotetraploid genome of C. arabica is influenced by homoeologous exchanges and subgenome-biased expression (such as decreased DXMT activity that reduces caffeine), which contribute to its complex flavor profile. Key lipid metabolism genes, particularly FADS2, play a critical role in regulating lipid metabolism. The effects of altitude (1600–2000 m) and shade influence various metabolic pathways. Cooler temperatures promote sugar accumulation, while excessive shading hinders carbon assimilation and the development of flavor precursors. Postharvest processing significantly influences flavor, where microbial or enzymatic treatments enhance sensory attributes. In addition, methods like natural, washed, or honey processing modulate various nonvolatile compounds, impacting lipid emulsification and aroma retention. Multi-omics analyses suggest that MYB proteins play a key role in regulating pathways involved in caffeine, chlorogenic acids, and terpenes. Effective hermetic packaging prevents oxidation, thereby preserving freshness. Overall, superior coffee quality stems from synergistic interactions across genetic, ecological, agronomic, and processing factors, highlighting the need for the development of an integrated strategy to support the sustainable production of premium coffee. Full article

Background/Objectives: Maternal diet during pregnancy may influence neonatal outcomes, but dietary behaviours are socially patterned and were measured differently across cohorts. We therefore evaluated whether cohort-specific, partially harmonized maternal dietary patterns were associated with adverse birth outcomes after accounting for maternal and socioeconomic characteristics in two Italian birth cohorts. Methods: We analyzed 3234 mother–infant dyads from Piccolipiù (2011–2015) and 1564 from MAMI-MED (2020–ongoing). Maternal diet was captured by cohort-specific food questionnaires and grouped into food categories. Principal component analysis identified dietary patterns; pattern scores were categorized into tertiles and combined into five joint-adherence profiles. Logistic regression estimated odds ratios (OR) for preterm birth (PTB, <37 weeks), low birth weight (LBW, ≤2500 g), macrosomia (≥4000 g), and small/large for gestational age (SGA/LGA), with progressive adjustment for maternal age, pre-pregnancy body mass index (BMI), education, employment, and (Piccolipiù) income. Results: Two comparable patterns emerged in both cohorts: Western (processed foods, fried items, snacks/sweets, sugar-sweetened beverages) and Prudent (fruit, vegetables, fish, whole grains/yogurt). Western adherence was more common among younger women and those with disadvantage, whereas Prudent adherence tracked higher education, employment and income. After full adjustment, dietary profiles were not consistently associated with PTB, SGA or LGA in either cohort. In Piccolipiù, preferential Prudent adherence was associated with lower odds of LBW (OR 0.49; 95% CI 0.24–0.92) and higher odds of macrosomia (OR 1.56; 95% CI 1.06–2.30). Across cohorts, higher pre-pregnancy BMI predicted macrosomia/LGA, while lower education increased the probability of PTB and LBW. Conclusions: Across two Italian birth cohorts, maternal dietary patterns were socially stratified, whereas pre-pregnancy BMI and maternal education were more consistently associated with birth outcomes than dietary-pattern adherence per se. Full article