Search Results (28,734)

Background/Objectives: The application of green analytical chemistry (GAC) principles is increasingly important in developing sustainable analytical practices for food safety monitoring. Natural deep eutectic solvents (NADESs) have emerged as green alternatives to conventional organic solvents. This study aimed to develop a sustainable analytical method for determining antibiotic residues in processed meat and frozen poultry products. Methods: A dispersive liquid–liquid microextraction (DLLME) procedure based on a NADES composed of anisaldehyde and decanoic acid (3:1, molar ratio) was coupled with UHPLC–MS/MS for the simultaneous determination of macrolides (clarithromycin, erythromycin), sulfonamides (sulfamethoxazole, sulfadimethoxine), and a fluoroquinolone (enrofloxacin) in food samples. Key extraction parameters, including NADES volume, vortex time, centrifugation time, sample amount, and pH, were optimized. The method was validated for linearity, accuracy, precision, and recovery and applied to real samples from the Saudi market. Results: The method showed excellent analytical performance, with good linearity (R² ≥ 0.9982), recoveries of 84.1–99.4%, and RSDs ≤ 5.75%. The target antibiotics were successfully quantified in processed meat and frozen poultry samples, confirming applicability. In addition, a comprehensive evaluation using eight assessment tools confirmed the method’s environmental sustainability, practicality and innovation. Conclusions: The proposed NADES-based DLLME–UHPLC–MS/MS method is a rapid, sensitive, and eco-friendly alternative to conventional techniques for monitoring antibiotic residues in processed meat and poultry, supporting both food safety and GAC principles. Full article

The adoption of sustainable agricultural practices is essential to cope with climate change and to ensure soil health, efficient nutrient use, and food security. This study aims to delve into the effects of the use of different mulching techniques, both traditional and with an innovative ecological and sustainable mulch called hydromulch, on soil quality parameters, gas-exchange parameters and the final quality of the artichoke fruit (Cynara cardunculus subsp. scolymus L. (Heigi) cv. Symphony), as well as its impact on the metabolomics profile. The experimental design consisted of three blocks, each with three treatments: traditional polyethylene (PE) mulch, a rice husk-based hydromulch, and a bare soil control. The results show an increase in the physical quality of the artichokes grown with both mulches, as well as a direct impact on the primary and secondary metabolism, being more pronounced in the artichokes grown with hydromulch. In particular, hydromulch significantly up-regulated metabolites associated with the melatonin, serotonin, and polyamine pathways, suggesting a marked metabolic response compared with both polyethylene mulch and bare soil treatments. Furthermore, soil organic carbon (SOC) and soil organic matter (SOM) were increased in hydromulched soils. Gas exchange measurements revealed that hydromulched plants reduced stomatal conductance and transpiration, resulting in enhanced intrinsic water use efficiency. These improvements contribute to the production of high-quality, nutritionally enriched crops with direct relevance to food safety and sustainable agri-food systems. Full article

Shaded Arabica coffee production in agroforestry systems, as opposed to full-sun production, is a nature-based solution improving soil water balance, reducing heat exposure of coffee plants, and supporting sustainable forest management as opposed to deforestation. For this coffee production system in Mexico, which is dominated by smallholders as the largest group of coffee producers, we herein analyze current and estimate future yields. For the first time, to our best knowledge, this is done with a process-based coffee agroforestry model CAF2014 that we adapted for geo-spatial applications and named CAF2014-Rhaobi. Modeling of smallholders’ representative management is based on tree thinning, pruning frequency, and nitrogen supply through fertilizer and litter from nitrogen-fixing shade trees. Modeled historical yields generally agree with the reported numbers; however, there are discrepancies explained by modeling assumptions and simplifications. While shade trees help sustain coffee production, the projected drop in yields under present management is about 30% at the end of the century compared to the present as estimated using an ensemble of CMIP6 SSP5-8.5 climate projections. Economic analysis for three typologies of Mexican small coffee producers (conventional low, high-efficiency, and organic) reveals the major role of farmer associations and organic coffee price premiums in making production economically sustainable. This emphasizes the need for innovative marketing approaches and policies supporting farmers opting for certified production. Full article

Cardiometabolic diseases are increasingly understood as disorders involving compartment-specific redox disruption rather than a uniform excess of reactive oxygen species. This narrative review synthesizes evidence for a proposed gut microbiota–mitochondria ferroptosis framework in which dysbiosis-derived lipopolysaccharide, trimethylamine N-oxide, short-chain fatty acids, bile acids, and tryptophan metabolites may modulate mitochondrial reactive species production, antioxidant defenses, iron handling, lipid peroxide detoxification, and inflammatory signaling. The reference set was assembled through searches of PubMed and Web of Science Core Collection, supplemented by targeted Google Scholar searches and citation chaining during manuscript preparation and revision through June 2026 and was organized around microbial metabolites, mitochondrial redox biology, ferroptosis pathways, disease-specific evidence, and redox-targeted interventions. Because this is a narrative synthesis rather than a systematic review, the framework should be interpreted as hypothesis-generating rather than as a systematically validated pathological model. Across atherosclerosis, diabetic cardiomyopathy, metabolic dysfunction-associated steatotic liver disease, obesity-associated insulin resistance, chronic kidney disease, and cardiorenal metabolic injury, the most consistent mechanistic links involve mtROS, impaired mitophagy, glutathione/GPX4 and SLC7A11 dysfunction, ACSL4-dependent lipid peroxidation, Nrf2 signaling, NLRP3 activation, and cGAS-STING-associated inflammation, although human causal evidence remains uneven. Importantly, much of the current literature supports local links within this sequence rather than a fully verified dysbiosis–metabolite–mitochondria ferroptosis–organ dysfunction chain in the same study. We therefore emphasize evidence tiers, terminology discipline, and biomarker requirements when interpreting ferroptosis-sensitive injury. Polyphenols, flavonoids, probiotics, postbiotics, melatonin, CoQ10-related strategies, mitochondria-targeted antioxidants, and ferroptosis-sensitive approaches may be most translatable when paired with microbiome, metabolomic, lipidomic, pharmacokinetic, and redox biomarkers. Full article

Municipal organic waste management remains a major challenge for sustainable urban development, particularly in regions requiring decentralized treatment alternatives that reduce landfill dependency and promote circular resource recovery. This study compared Takakura composting and vermicomposting for the stabilization of municipal organic waste under decentralized operational conditions in the Ecuadorian Amazon and developed a Composite Circular Resource Recovery and Process Performance Index (CRRPPI) to evaluate resource recovery efficiency. Municipal organic waste was treated through Takakura composting, vermicomposting, and uncontrolled decomposition (control). Operational performance was assessed using material conversion efficiency, process productivity, nutrient recovery efficiency, nutrient productivity, and final physicochemical characteristics. These indicators were integrated into the CRRPPI framework to provide a multidimensional assessment of circular resource recovery performance. Takakura composting showed the highest operational efficiency, achieving material conversion efficiencies of up to 0.80, process productivity values of 1.23 kg day⁻¹, and superior nutrient recovery efficiencies for nitrogen (0.835), phosphorus (0.730), and potassium (0.880). The highest CRRPPI values were obtained for Takakura treatments (0.835–0.842), while vermicomposting showed intermediate performance, and the control treatment presented the lowest resource recovery efficiency (0.216). Sensitivity analysis confirmed ranking stability under ±20% weighting variations, and ANOVA followed by Tukey’s HSD test identified significant differences among treatments (p < 0.05). The results indicate that Takakura composting is an effective strategy for decentralized municipal organic waste valorization and nutrient recirculation. Furthermore, the proposed CRRPPI provides a practical exploratory framework for integrated evaluation of biological stabilization technologies by simultaneously considering operational performance and circular resource recovery. Full article

Lead (Pb) is a persistent and highly toxic heavy metal that poses significant ecological and human health risks due to its high bioaccumulation potential. In this study, nitrogen-doped biochar (NBC) was synthesized from straw-derived biochar via ball-milling and ammonium nitrate modification to remediate Pb-contaminated soil. Batch adsorption experiments demonstrated that the adsorption process was best described by the Langmuir isotherm model, indicating monolayer adsorption. X-ray photoelectron spectroscopy (XPS) revealed that Pb(II) immobilization by NBC occurred through multiple mechanisms, primarily precipitation and complexation with hydroxyl and pyrrolic-N functional groups. Subsequent pot experiments confirmed that NBC outperformed pristine biochar (BC) in reducing Pb bioavailability. This superior performance was attributed to the ability of NBC to increase soil pore water pH and significantly decrease soil redox potential (Eh). Moreover, compared to the control, a 5% NBC treatment (NBC2) significantly increased soil organic matter (SOM) by 136.24% while concurrently increasing soil available nitrogen (SAN), phosphorus (SAP), and potassium (SAK) by 46.91%, 75.72%, and 42.79%, respectively. Microbiological analyses indicated that NBC application enhanced soil alpha diversity (Chao1, ACE, and Shannon indices) and enriched beneficial bacterial phyla, such as Proteobacteria and Firmicutes. Random forest analysis identified the acid-soluble Pb fraction and SOM as the main drivers of bacterial operational taxonomic unit (OTU) composition. Specifically, NBC increased the relative abundance of the family Hungateiclostridiaceae, which may promote soil sulfide production and facilitate the precipitation of Pb into highly insoluble forms, further reducing its mobility and toxicity. Collectively, these findings demonstrate that NBC is a promising soil amendment that leverages both physicochemical and microbial pathways to immobilize Pb, mitigate environmental toxicity, and restore soil ecological health. Full article

The global sugar industry is facing increasing challenges due to climate variability, sustainability requirements, and the need for improved operational efficiency. These pressures are driving the search for advanced technological solutions to enhance productivity and resource management. Artificial intelligence (AI) has already demonstrated significant potential across various agricultural sectors; however, a comprehensive evaluation of AI applications across the entire sugar industry value chain from crop cultivation to industrial processing and supply chain management remains limited. This review provides a detailed assessment of the current state of AI and internet of things (IoT) implementation in the sugar beet industry. It examines key applications, including precision agriculture for sugarcane and sugar beet cultivation, intelligent monitoring systems for early disease detection, and AI-driven decision support tools for resource optimization. In addition, the study explores the role of AI in sugar manufacturing processes, where machine learning and data-driven models are used to optimize milling operations, improve product quality control, and enable predictive maintenance of industrial equipment. AI technologies are also shown to enhance supply chain efficiency through improved demand forecasting, logistics optimization, and real-time data analytics. Monitoring volatile organic compounds (VOCs) is becoming increasingly important in sugar beet and sugarcane storage. Microbial activity during storage and fermentation can release VOCs such as ethanol, which act as early indicators of crop degradation and spoilage. Detecting these gases using modern gas sensors enables continuous monitoring of storage conditions and crop health. When sensor data is integrated with AI and IoT systems, it can be analyzed in real time to identify early signs of microbial activity, improve storage management, and optimize processing decisions. Such intelligent monitoring systems have the potential to reduce losses and enhance overall efficiency in the sugar production chain. Full article

In this study, an ultrasound-assisted extraction (UAE) method combined with ion chromatography (IC) was developed, optimized and validated for the determination of benzoate in Northern Thai green chili dip. Four extraction variables were optimized using response surface methodology (RSM) based on a Box–Behnken design (BBD). The optimal conditions were a sample mass of 5.0 g, water volume of 20.0 mL, extraction temperature of 70 °C, and extraction time of 20 min. The validated method showed good linearity in the range of 0.5 to 100 mg L⁻¹, limits of detection (LOD) and quantification (LOQ) of 0.305 and 1.070 mg L⁻¹, respectively, precision in the range of 0.31 to 6.37% (%RSD, n = 11), and spiked recovery in the range of 85.50 to 107.80%, all of which were within the acceptable criteria. The AGREE score of the developed method was 0.45, which was higher than that of the conventional LLE-HPLC-UV method (0.27) due to the use of only deionized water as the extracting solvent and no generation of organic waste. The developed method was sensitive, validated, and environmentally friendly, and was successfully applied to the determination of benzoate in traditional condiment products. The proposed method may serve as an alternative approach for routine food analysis and quality control. Full article

This study evaluated the responses of growing pigs to a matched compound enzyme in two feeding systems: a corn–soybean meal diet and a diversified diet. Two independent experiments were conducted, each using 80 pigs (Duroc × [Landrace × Yorkshire]; average body weight, 33.0 kg), which were assigned to two treatments in a randomized complete block design (RCBD) according to initial body weight and sex, with five replicate pens per treatment and eight pigs per pen. In Exp. 1, pigs were fed a corn–soybean meal diet without or with 0.02% compound enzyme formulated (including xylanase, β-glucanase, β-mannanase, cellulase and pectinase) for this diet type. In Exp. 2, pigs were fed a diversified diet without or with 0.02% compound enzyme (including xylanase, β-glucanase, β-mannanase, cellulase, pectinase, amylase and protease). The supplemental level of the compound enzyme was selected according to the substrate characteristics of each diet, especially the content of fibrous components, and was further aligned with the inclusion rate recommended for practical feed production. Growth performance, apparent total tract digestibility (ATTD), serum immune and inflammatory indices, jejunal digestive enzyme activities, and cecal microbiota were evaluated. In Exp. 2, the G:F was higher during days 15–28 (p < 0.05) and tended to increase the overall G:F (p = 0.06). In Exp. 1, dietary compound enzyme supplementation increased the ATTD of dry matter (DM), ether extract (EE), and gross energy (GE) on day 28 (p < 0.05), elevated serum immunoglobulin A (IgA) concentration (p < 0.05) on day 14, reduced serum concentrations of interleukin (IL)-1β, IL-6, and IL-8 on day 28 (p < 0.05), and increased jejunal amylase activity (p < 0.05). In Exp. 2, dietary compound enzyme supplementation increased the ATTD of DM, organic matter (OM), crude protein (CP), and GE (p < 0.05), and enhanced the activities of amylase and chymotrypsin on day 28 (p < 0.05). Enzyme supplementation reduced the abundance of Erysipelotrichaceae in Exp. 1 (p < 0.05) but increased the abundance of Chlamydiaceae in Exp. 2 (p < 0.05). In conclusion, matched compound enzyme supplementation improved nutrient utilization in both diet systems, but the response profiles differed. The diversified diet system showed clearer improvements in feed efficiency and protein-related digestibility. Full article

This manuscript will present an advancement of transformative research that has been conducted at Oak Ridge National Laboratory (ORNL) over a 25-year period (2000–2025) on a variety of environmental and biological matrices. These investigations derived a fundamental understanding of how elemental detection and analysis of these matrices led to the knowledge and discovery of natural processes in plants and the environment. Each project led to the initiation of a new research area which unearthed awesome and novel breakthroughs. Highlights are listed below: 1. The preliminary research at ORNL centered on the detection of aerosols utilizing Laser-induced Breakdown Spectroscopy (LIBS) technology. The Clean Air Act Amendment (CAAA) of 1990 highlighted the importance of identifying hazardous air pollutants (HAPs) due to their impact on environmental and human health, thereby underscoring the need to detect various toxic elements. Research in aerosol chemistry aimed to identify these harmful elements released by factories during periods of increased emissions in their manufacturing processes. LIBS emerged as the most effective method for real-time, in situ measurements of metal species in both gaseous and aerosol phases. 2. An understanding of the presence of total carbon in soils gives perspective on how to develop carbon sequestration strategies. The recognition that carbon sinks can evolve back to carbon sources to emit back to the atmosphere was an important consideration. Also, the concentration of carbon in soil indicates the health of land areas for growing crops successfully. 3. The direct detection of most of the elements in a wood sample in a single emission spectrum, without sample preparation, encouraged the research to use the LIBS technique for preservative treated wood coupled with use of multivariate statistical methodology. Additionally, it encouraged the researchers to try to differentiate natural woods from different parts of the country, and it was successfully demonstrated that LIBS coupled with MVA analysis could differentiate wood of different species from each other and of similar species grown in different environments based on their elemental spectra. This was a breakthrough since it revealed a systematic approach to connect elemental scarcity and abundance to either drought or typical rainfall conditions for the hardwood trees grown in specific areas. 4. Furthermore, the research progressed to reveal physiological and developmental processes contributing to biomass production such that the variation in leaf elemental composition increases our understanding of terrestrial nutrient cycles, as well as tracking the transfer of toxic elements from soils to living organisms. 5. Recently another breakthrough viz., ionomics initiated the correlation of elements to specific genes, uncovering the function that the element performed in the plant. More recently, this has been extended from plants to fungi as well as fungi growing in symbiotic relations with plants. Full article

This study examines how live-streaming cues influence impulsive purchase intention in fresh-fruit e-commerce, where consumers face substantial quality uncertainty and limited opportunities for pre-purchase inspection. Drawing on the Stimulus–Organism–Response (S-O-R) framework, we examine five stimuli—anchor professionalism, anchor interactivity, visual attractiveness, price discount, and scarcity—and test whether perceived value (cognitive) and positive emotions (affective) operate as parallel mediators. Based on survey data from 353 Chinese consumers, the results show that anchor professionalism, anchor interactivity, price discount, and scarcity are positively associated with impulsive purchase intention both directly and indirectly through perceived value and positive emotions, whereas visual presentation follows a different pattern. Contrary to the common assumption that vividness primarily triggers emotional impulse, visual attractiveness does not exhibit a robust direct effect on purchase intention; instead, its influence is transmitted dominantly through cognitive perceived value rather than affective positive emotions. This finding suggests that, in high-uncertainty perishable categories, vivid presentation is more consequential when it helps consumers evaluate product value than when it merely stimulates affective reactions. The study offers targeted implications for S-O-R theory and provides practical guidance for platform design and promotional disclosure in real-time e-commerce. Full article

Forging is a key manufacturing route for high-performance structural components, but its process design, quality prediction, and adaptive control still rely heavily on empirical rules, offline simulations, and fragmented production data. This review examines intelligent forging from the perspective of mechanism–data–knowledge fusion, with emphasis on forging-specific process chains, real alloy systems, model validation, and industrial maturity. To improve methodological traceability, a structured literature search was conducted using Web of Science Core Collection, Scopus, ScienceDirect, SpringerLink, and Google Scholar, covering studies published from 1996 to 2026. The screened literature was organized around process perception, mechanism-based modeling, data-driven learning, hybrid modeling, knowledge representation, digital twins, online prediction, and adaptive regulation. Representative cases are discussed for closed-die forging, open-die/large forging, multistage forging, radial forging, and forging of aluminum alloys, titanium alloys, steels, and Ni-based superalloys. Particular attention is given to how specific models are validated, including independent experiments, finite-element benchmarks, industrial datasets, new geometries, sensor noise, and cross-material or cross-equipment transfer. The review further distinguishes consolidated technologies, such as FEM-based process simulation and die/preform optimization, from methods still under validation, including hybrid digital twins, sensor-updated models, and adaptive control. Large-model-assisted forging is considered a prospective direction mainly for information retrieval, case recovery, diagnostic support, and engineer-supervised recommendation rather than unsupervised real-time control. This review provides a more process-specific and critically assessed reference for developing explainable, validated, and deployable intelligent forging systems. Full article

The efficient industrial production of citric acid by A. niger requires overcoming the limitations of substrate uptake and citrate export on the citrate synthesis efficiency. This study addresses these obstacles using a transporter engineering strategy, modifying the endogenous high-affinity glucose transporter MstF and citrate exporter CexA. The “push–pull” strategy was used to improve citric acid production by increasing glucose import and citrate export. A single overexpression of mstF improved citric acid production, reaching 179.35 g/L in the H7 strain. However, cexA high expression impaired dense mycelium pellet formation and affected the expression of key genes, resulting in reduced citric acid production. For balancing intracellular accumulation and secretion of citrate, simultaneous overexpression of mstF and cexA increased citric acid production and efficiency. In a 30 L fermenter, strain A5 achieved a citric acid titer of 185.91 g/L, a productivity of 3.21 g/h/L, and a shortened fermentation cycle. Collectively, these results provide a reference for the industrial production of citric acid and other organic acids. Full article

This study aims to reveal the synergistic degradation and conversion of lignocellulose by spatially distributed gastric microorganisms, facilitating efficient anaerobic fermentation of plant biomass. Contents from camel stomach compartments, feces, and plant biomass were collected for analyses of total carbon, total nitrogen, lignocellulose, FTIR, and XRD. Portions were cultured in vitro to measure gaseous products, organic acids, and ammonia nitrogen, combined with high-throughput sequencing for microbial community analysis. The results indicate a compartment-specific degradation pattern of protein, cellulose, hemicellulose, and lignin across stomach compartments, driven by distinct pH environments: cellulose in the rumen (pH 7.71), hemicellulose and protein in the reticulum (pH 7.78), and lignin in the abomasum (pH 3.72). Synergistic interactions among key degraders in the reticulum, including Rikenellaceae_RC9_gut_group (15.9%), Cyllamyces (5.1%), Prevotella (7.4%), and Methanobrevibacter (39.6%), enhanced production of reducing sugars, organic acids, and ammonia nitrogen, with CO₂, CH₄, and NH₃ yields being 1.3, 3.1, and 2.0 times those in the rumen. These findings reveal an efficient sequential bioconversion system, highlighting the reticulum as a key region with a stable microbial network, and offer a biomimetic basis for expanding enzyme resources and designing staged anaerobic bioreactors, thereby contributing to sustainable bioenergy development and conversion of lignocellulosic resources. Full article

Sustainable rabbit production requires effective nutritional strategies to enhance productivity, health status, and immune competence. Following the restriction of antibiotic growth promoters, organic acids (OAs) have gotten increasing attention as promising functional feed additives due to their multiple biological roles. This review aims to offer a comprehensive overview of the functional roles of OAs in rabbit nutrition, with a focus on their effects on gut morphology, nutrient digestibility, intestinal microbiota, antioxidative status, immunity, and growth performance in growing rabbits. The OAs may modulate gut microbiota balance through inhibition of pathogenic bacteria and promotion of beneficial microbial populations, thereby contributing to the establishment of a balanced intestinal ecosystem. This effect is particularly important during the post-weaning period, a critical stage characterized by increased susceptibility to enteric disorders and associated economic losses. The OAs may also enhance digestive enzyme activities, leading to improving nutrient digestibility, feed efficiency, and reducing feed wastage. In addition, OAs have been shown to improve intestinal histomorphology through coordinated effects on epithelial proliferation, mucosal renewal, and tight junction integrity. Furthermore, OAs have been shown to modulate antioxidative status and immune responses, which are essential for maintaining intestinal health and overall production sustainability. Collectively, OAs represent a promising and viable nutritional strategy to enhance the sustainability and efficiency of rabbit production systems through their beneficial effects on gut health, nutrient utilization, immune competence, and antioxidative status. Full article