Search Results (3,400)

Water quality analysis plays an essential role in maintaining the health and sustainability of river ecosystems, especially in semi-arid regions like the Arroyo Colorado Watershed in South Texas. Since the river is a vital source of water supply for local communities, agriculture, and wildlife, it faces significant challenges and pollution from land use changes, climate variation, and agricultural runoff. Continuous monitoring and assessment of water quality parameters and their temporal variability are essential to ensure the drinking water supply and aquatic ecosystem health. However, comprehensive laboratory-based water quality investigations are often constrained by higher costs, logistical complexity, and limited manpower. As a result, monitoring datasets are often not available for all water quality parameters, or the datasets may be incomplete. To address such challenges, the objective of this study was to evaluate the potential of water quality index (WQI)-based assessment supported by machine learning algorithms as an alternative decision-support tool for water quality evaluation. The analysis compared four monitoring stations in the Austin and Arroyo Colorado Watersheds, with particular emphasis on one gauging station at Port Harlingen. Datasets were collected from the Texas Commission of Environmental Quality (TCEQ). A complete exploratory data analysis (EDA) was performed to understand the TCEQ water quality datasets containing sixteen parameters, and seven water quality parameters were selected based on multicollinearity checks. It was observed that seven independent water quality parameters (dissolved oxygen, ammonia, nitrate, phosphorus, temperature, fecal coliform, and residual non-filterable material concentrations) were identified as sufficient to define the WQI of the Austin monitoring stations. Moreover, U.S. Environmental Protection Agency (EPA)-based guidelines were utilized to scale individual parameters to a range of 0–100 to remove their magnitude and correlation-based bias. These parameters were further analyzed using machine learning techniques, i.e., principal component analysis, K-means, and one-class support vector machine, to compute the relative importance based on their fluctuation within the temporal dataset. Finally, the mean WQI model was developed for Port Harlingen and achieved a strong agreement with the National Sanitation Foundation (NSF) WQI (R² = 0.91). These findings demonstrate the applicability of the proposed data-driven WQI framework for regional water quality assessment and comparative analysis across watersheds. Full article

Ukraine’s energy strategy under martial law necessitates decentralized local energy systems to counter electricity shortages and systemic infrastructure failures. The study develops and validates an optimization model for designing the architecture of decentralized “energy islands” based on circular bioenergy models for agricultural waste use. Empirical verification was conducted using data from the Vinnytsia region in Ukraine. The model accounts for a multi-level structure that separates micro/small generation (0.1–2.0 MW) from medium generation (1–20 MW) based on the logistical radius for raw material collection. The model incorporated the Value of Lost Load (VLL), enabling the monetization of avoided socio-economic losses from energy shortages. In addition, the coefficient of energy island sustainability (I_sred) was introduced to quantitatively assess the effectiveness of investments in terms of replacing external resources. The modeling revealed the nonlinear nature of the total cost function, enabling us to determine an optimal energy-autonomy range of 40% to 50% for communities. At this threshold, the total construction and logistics costs are minimized. The potential socio-economic losses from blackouts are effectively mitigated, as confirmed by the calculated sustainability coefficient (I_sred), which ranges from 0.78 to 0.94 across the studied communities. The resource potential assessment confirms that the region’s total potential is approaching 30 million tons of oil equivalent, driven by solid biofuels, agricultural residues, and energy crops (miscanthus, switchgrass). The classification of biomass supply chains shows that exceeding the transportation radius by more than 70 km at the meso level, or deviating from the optimal logistics lever by 20%, reduces the profitability of projects below the critical limit of 15%, which justifies strict localization within raw-material clusters. This enables local communities to eliminate natural gas consumption, reduce energy supply operating costs by 15%, and ensure the autonomous and stable operation of critical infrastructure facilities during prolonged disruptions to the national power grid. Full article

The increasing generation of agricultural and industrial waste has created a growing need for sustainable materials that can reduce environmental burdens while maintaining desirable performance. This study explores the development of hybrid composites using pinecone waste and cottonseed waste generated during spinning operations as reinforcement materials in epoxy and PCL (polycaprolactone) matrices. Four composite formulations were produced and evaluated in terms of their physical, mechanical, thermal, morphological, and crystallographic characteristics. Density, water absorption, tensile, compressive, flexural, and thermal conductivity properties were measured using standard testing procedures. Surface morphology and fiber–matrix interactions were examined through scanning electron microscopy (SEM), while X-ray diffraction (XRD) was used to investigate the crystalline structure of the composites. The epoxy-based formulations exhibited superior tensile and flexural performance, reduced moisture uptake, and lower thermal conductivity, indicating their suitability for interior and semi-structural applications. In comparison, the PCL-based composites demonstrated higher compressive load resistance and greater deformation capability, suggesting potential use in biodegradable packaging and cushioning materials. SEM analysis revealed noticeable differences in filler distribution and interfacial characteristics among the formulations, whereas XRD confirmed the crystalline features associated with both the polymer matrices and lignocellulosic reinforcements. Overall, the results demonstrate a practical route for converting forestry residues and spinning-industry waste into functional composite materials, supporting waste valorization and resource-efficient material development. Full article

Pesticide and veterinary drug residues, heavy metals and other hazardous contaminants in agricultural products and food systems pose severe threats to food safety and agro-ecological security. Conventional detection techniques are plagued by complicated operations, long testing cycles and insufficient sensitivity, which fail to meet the practical requirements for rapid, accurate on-site detection and in situ remediation. This paper systematically introduces the fundamental physicochemical properties of typical carbon-based nanomaterials, including graphene, carbon nanotubes, carbon quantum dots and biomass-derived carbon. It comprehensively reviews the latest research advances of these materials in the detection of heavy metal ions, pesticide residues, mycotoxins and illegal additives, as well as in the non-destructive monitoring of food quality. Meanwhile, relevant applications of carbon-based nanomaterials in the adsorption, enrichment and catalytic remediation of heavy metals and organic pollutants in farmland soil and water environments are summarized. The intrinsic mechanisms underlying their performance in high-precision detection and environmental remediation are elaborated from the perspectives of optical sensing response and adsorption–separation effects. Furthermore, the current technical limitations and bottlenecks restricting the practical application of carbon-based nanomaterials are discussed. Combined with the industrial demands for rapid screening of agro-food safety risks and in situ treatment of farmland environments, the future development prospects of carbon-based nanomaterials in agriculture and food safety fields are outlined. This work aims to provide theoretical references for the development and industrialization of high-performance carbon-based sensing and remediation materials, and to facilitate the risk prevention and control of agro-food safety as well as the green and sustainable development of agricultural ecosystems. Full article

Thermochemical conversion of nitrogen- and sulfur-rich biomass-derived wastes, such as sewage sludge, algae, and agricultural residues, is a promising route for renewable fuel production and waste valorization. However, fuel-bound nitrogen can be released as NH₃, HCN, and HNCO, while sulfur species such as H₂S, SO₂, and COS accelerate catalyst deactivation and generate NO_x/SO_x precursors. Metal-loaded ZSM-5 catalysts are attractive for clean catalytic pyrolysis because they combine the MFI pore confinement and tunable Brønsted/Lewis acidity of ZSM-5 with the hydrogen transfer, dehydrogenation, cracking, redox, and sulfur-tolerance functions of metal species. This review critically summarizes recent advances in metal-loaded ZSM-5 catalysts for catalytic denitrogenation of biomass-derived solid wastes. The formation and migration of NH₃, HCN, HNCO, tar-N, and char-N are first discussed to clarify the chemical basis of fuel-N conversion. The effects of ZSM-5 pore structure, acid-site distribution, Si/Al ratio, hierarchical porosity, and synergy on adsorption, diffusion, C-N bond cleavage, heterocyclic-N ring-opening, aromatization, and nitrogen redistribution are then analyzed. Catalyst deactivation under realistic pyrolysis atmospheres is also highlighted, including coke deposition, metal sintering, framework dealumination, mineral poisoning, and H₂S/SO₂/COS-induced sulfur poisoning. Finally, future directions are proposed for designing multifunctional ZSM-5-based catalysts integrating denitrogenation activity, sulfur resistance, coke resistance, regenerability, and quantitative nitrogen/sulfur mass balance. Full article

The extensive use of petroleum-based plastics in food packaging has raised environmental concerns, increasing interest in biodegradable materials derived from renewable resources. Cellulose-based films from agricultural residues offer a sustainable alternative, and incorporating bioactive compounds can provide active packaging functionality to enhance food preservation. In this study, resveratrol was incorporated into oat straw-derived cellulose films to develop biodegradable active packaging materials. Films with varying concentrations of resveratrol were prepared and evaluated for physical, mechanical, barrier, optical, antioxidant, biodegradation, and fruit preservation properties. Resveratrol significantly enhanced the films’ antioxidant activity, increasing radical-scavenging activity from 4.05% in the control film to 19.70% in the film containing 0.7% resveratrol. The films also exhibited improved ultraviolet light-blocking properties while maintaining comparable moisture content, water solubility, mechanical properties, water vapor permeability, and biodegradation behavior. All films showed rapid soil biodegradation, with more than 80% weight loss after 33 days. During grape storage, the resveratrol-containing film maintained the fruit quality by moderating changes in weight loss, total soluble solids, titratable acidity, and ascorbic acid content, while avoiding the quality deterioration observed in polystyrene-covered grapes during storage. These findings demonstrate that oat straw-derived cellulose films containing resveratrol combine antioxidant activity, ultraviolet light protection, biodegradability, and improved preservation performance during grape storage. The developed films show promise as sustainable antioxidant active packaging materials for fresh-produce applications. Full article

Biological hydrogen production from lignocellulosic residues is increasingly recognized as a promising route toward sustainable fuel production. However, efficient conversion of these materials requires appropriate pretreatment strategies to enhance carbohydrate accessibility while preserving the quality of the resulting hydrolysates for fermentation to hydrogen. To date, most pretreatment studies have primarily emphasized maximizing sugar release and biomass fractionation, often overlooking the critical role of hydrolysate quality and hydrogen fermentability. This review evaluates lignocellulosic biomass pretreatment technologies with a specific focus on their impacts on hydrogen fermentability. Among all of the well-studied pretreatments, only a few are good candidates for biohydrogen production from lignocellulosic biomass. In particular, the selection of an optimal pretreatment approach was shown to depend not only on the physicochemical characteristics of the biomass but also upon the metabolic capabilities and substrate utilization patterns of the microorganisms employed. This article highlights the need for integrated optimization of pretreatment and fermentation processes and identifies key challenges and opportunities for advancing lignocellulosic biohydrogen production. Full article

The rapid growth of insect farming generates significant volumes of insect frass, a novel organic by-product. Utilizing frass-based organo-mineral fertilizers represents a sustainable alternative to synthetic fertilizers, yet long-term agronomic efficacy and residual effects require further field validation. This study evaluated pelletized organo-mineral formulations for conventional and organic agriculture, derived from Hermetia illucens and Tenebrio molitor frass. Eight field treatments were evaluated: an unfertilized control; an inorganic NPK fertilizer (150 kg N ha⁻¹); a biostabilized municipal solid waste compost at two nitrogen rates (150 and 300 kg N ha⁻¹); and two novel insect-frass-derived organo-mineral fertilizers (VHTI and VHTO) applied at a standard product dose (1000 kg ha⁻¹) and an N-equivalent dose (150 kg N ha⁻¹). Application of organo-mineral and organic treatments at the same nitrogen dose (150 kg N ha⁻¹) doubled cabbage yield compared to the unfertilized control and significantly outperformed the conventional inorganic treatment. These formulations demonstrated enhanced nitrogen and phosphorus use efficiencies, reflecting improved synchronization between nutrient release and crop demand. Furthermore, organo-mineral formulations significantly increased soil available phosphorus without adversely affecting key soil quality parameters. The Integrated Soil–Crop Response Index (ISCRI) confirmed a superior overall agroecosystem response for these treatments. These findings provide important theoretical insights into nutrient synchronization mechanisms in organo-mineral fertilizers, alongside practical applications for sustainable cabbage production. Consequently, frass-based pelletized fertilizers represent a highly sustainable, circular, and efficient alternative to optimize horticultural yield and nutrient use efficiency while enhancing soil health, ultimately supporting the valorization of insect farming by-products as viable substitutes for synthetic fertilizers. Full article

The search for sustainable and ethical alternatives to conventional protein production has become increasingly important due to climate change, population growth, and the need to reduce the environmental impact of food systems. This work explores the development of animal-free proteins produced in laboratory settings using innovative technologies such as precision fermentation, submerged fermentation, plant cell culture, and molecular engineering. These methods enable the production of high-quality proteins without relying on animal farming or large-scale traditional agriculture. In addition to reviewing traditional plant-based protein sources and their nutritional limitations, the study highlights novel protein sources derived from fungi, algae, and bacteria, focusing on their nutritional profiles, production methods, and challenges related to digestibility, safety, and consumer perception. Special attention is given to downstream processing techniques that preserve protein functionality and enhance key food attributes such as texture, flavor, and stability. The use of agro-industrial residues is also discussed as a strategy to improve sustainability and economic viability. Key barriers to large-scale implementation, including production costs, regulatory approval, and consumer acceptance, are addressed, alongside emerging applications beyond food, such as cosmetics, animal nutrition, and biodegradable materials. Overall, animal-free proteins represent a promising path toward a more sustainable, resilient, and ethical global food system. Full article

The determination of pesticide residues at trace levels in complex environmental matrices requires robust and reliable analytical methodologies. In this study, a multi-residue method for determining 48 pesticides across different chemical classes in agricultural soils was developed and validated using a modified QuEChERS extraction followed by GC-MS/MS analysis. The method exhibited good linearity (R² ≥ 0.9871) over a concentration range of 5–600 µg/kg. Matrix effects were observed for several compounds, requiring matrix-matched calibration for accurate quantification. Recoveries fulfilled the recommended 70−120% criterion in 91.0% of the evaluated cases, while more than 98% of the relative standard deviation values were ≤20%, demonstrating satisfactory overall accuracy and precision according to SANTE/2020/12830 (Rev. 2) guidelines. The validated method was subsequently applied to tropical agricultural soils from Puerto Carreño (Colombian Orinoquia), which exhibited predominantly sandy textures (>80% sand), slightly acidic pH (5.2−5.7), low total organic carbon (0.1−0.8%), and low cation exchange capacity (5.6−8.1 meq/100 g). No pesticide residues were detected in the analyzed samples. The proposed method provides a reliable analytical framework for multi-class pesticide determination in tropical agricultural soils and contributes to the application of QuEChERS-based methodologies in underrepresented tropical soil matrices. Full article

This PRISMA-guided scoping review examines the use of waste materials in civil engineering as a sustainable approach to reducing environmental impacts, conserving natural resources, and supporting circular economy principles. The rapid growth of urbanization, industrialization, mining, and agricultural activities generates large amounts of waste materials, including fly ash, ground granulated blast-furnace slag, bauxite residue, mining tailings, waste rock, acid-mine drainage sludge, waste plastics, post-consumer vulcanized rubber, recycled construction materials, and agricultural ashes. The disposal of these materials often creates serious environmental and land-use problems, making their reuse increasingly important. In this context, civil engineering is one of the most promising sectors for large-scale waste valorization because of its high material demand and its ability to use different waste streams into practical applications such as concrete and cementitious systems, pavement and asphalt engineering, geotechnical works, and other infrastructure sectors. This review critically evaluates the global availability, material characteristics, engineering applications, environmental and economic benefits, recent advances, and key challenges related to major industrial, mining, agricultural, polymeric, and construction-derived wastes. Although significant progress has been made in this field, wider implementation is still limited by variations in material properties, technical and environmental challenges, economic constraints, and limited field validation of long-term performance. By bringing together current knowledge from different waste streams and civil engineering sectors, this review highlights important research gaps and future directions to support more sustainable, resilient, and resource-efficient infrastructure development. The effective use of waste materials in civil engineering can play an important role in reducing carbon emissions, improving resource efficiency, and supporting global sustainability. Full article

Hexavalent chromium (Cr(VI)) is a highly toxic, non-biodegradable, and carcinogenic heavy metal. Its continuous release into aquatic ecosystems demands efficient, low-cost adsorbents. In this study, orange peel and peanut shell residues were thermally modified at 250 °C to enhance Cr(VI) remediation. Structural characterization confirmed that low-temperature calcination transforms raw agroindustrial wastes into functional biochars with a chemical architecture primed for cooperative Cr(VI) removal. N₂ physisorption revealed a hierarchical mesoporous network with average pore diameters of 30.6 nm (calcined orange peel) and 15.4 nm (calcined peanut shell), despite low specific surface areas. Batch adsorption experiments demonstrated that removal kinetics reached equilibrium within 5 min for the modified biochars. Isotherm modeling showed that the adsorption process was best described by the Freundlich and Sips models. The calculated Sips heterogeneity factors (β_S > 1) provided evidence of a cooperative multi-layer adsorption mechanism, attributed to the induced mesoporosity: initial chemisorption at high-energy sites facilitates the continuous anchoring of additional Cr(VI) ions without premature saturation. Ultimately, this study demonstrates that low-temperature calcination is a viable strategy to transform agricultural waste into kinetically efficient, cooperative adsorbents for wastewater treatment. Full article

Fillers (<0.075 mm) in hot mix asphalt (HMA) play a pivotal role in optimizing bitumen content, filling voids, and improving mechanical performance. In many agricultural countries, large quantities of rice and wheat husk waste are produced, while the road construction industry faces material shortages of conventional filler materials and related performance challenges. This study evaluates the feasibility of using rice husk (RH) and wheat husk (WH) fillers on HMA performance. Unlike previous studies that primarily focused on ash-derived agricultural residues, this work investigates the direct utilization of raw husk materials, eliminating the need for energy-intensive processing. Few studies directly examine the aggregate gradation and binder concentration with respect to rice and wheat husk ash. As a result, the relative effectiveness of these two agricultural waste fillers in improving the volumetric and Marshall properties of asphalt mixtures is yet unknown. Fifteen mixtures with varying bitumen contents (3.0–5.0%) were tested to determine the optimum bitumen content (OBC). Subsequently, modified mixtures were prepared at the OBC using RH and WH fillers at five replacement levels (5.0–15.0%). The Marshall Mix design method was employed to assess stability, flow, density, and air voids content. The control mixture showed a Marshall stability of 14.86 kN, flow of 3.52 mm, density of 2.342 g/cm³, and air voids of 2.9%. At their optimum filler contents (i.e., 10.33% for RH and 10.43% for WH), the modified mixtures achieved higher Marshall stability (14.96 kN and 15.06 kN, respectively), with flow values of 3.51 mm and 2.83 mm, and densities of 2.335 g/cm³ and 2.330 g/cm³. Statistical analysis using ANOVA at the OBC confirmed that RH and WH fillers can be used as alternative fillers in HMA without adversely affecting Marshall performance, while contributing to agricultural waste valorization and resource conservation. Full article

The high-value utilization market for crop straw renders the development of stubble management technology crucial. This study aims to reduce the energy consumption of L-shaped rotary blades during stubble-breaking. Based on a theory analysis of the rotary-cutting operation process, this study involved the burial of the in situ maize root–soil composite in an indoor soil bin, and investigated the effects of rotary speed (275, 330, 385, 440 rpm) and working depth (50, 85, 120 mm) on torque, power, and energy. Field verification yields an overall average relative error of 2.76% across six replicates, verifying that the indoor test method can reliably reproduce field cutting conditions. As the high-speed video images show, a reduction in rotary speed coupled with an augmentation in working depth has the potential to result in residue entanglement and secondary cutting, thereby leading to an escalation in consumption. As the working depth increased, peak torque appeared at a deeper penetration position. The analysis of the computer-aided geometric model section of the root–soil composite indicated that the diameter of the branching root was the primary factor influencing peak torque. At a working depth of 85 mm, the average power savings ranged from 2.26% to 24.8% compared to 50 mm and 120 mm. Despite the increase in average power, peak power, and specific energy requirements at all operational depths with increasing rotary speed, torque reached its minimum at 385 rpm. At 385 rpm, average torque hits its minimum to mitigate component wear, though power and specific energy rise monotonically with rotational speed. The multi-index evaluation balancing mechanical load, energy loss, and residue delivery identifies 385 rpm paired with 85 mm depth as the optimal parameter set. The optimized parameter combination delivers a quantifiable sustainable residue management scheme that balances ecological residue treatment and economic machinery operation costs, supporting low-carbon, sustainable production. Full article

The substantial volume of agrifood processing side streams represents a global sustainability challenge that requires transformation of agricultural residues into high-value molecular components. Grape pomace (GP) is a major winemaking co-product whose chemical diversity remains underutilized due to a lack of high-resolution structural data. This study applies advanced analytical platforms to provide a comprehensive molecular characterization of oligosaccharides (OS) and phenolics in GP from four grape varieties (Chardonnay, Sauvignon Blanc, Pinot Noir, and Merlot) from California. Results demonstrate that the molecular signature of the material is highly dependent on the variety and its corresponding processing; white wine pomaces exhibited significantly higher residual sugars and generally greater OS diversity compared to red wine pomaces. Using LC-Q-ToF-MS, 39 oligosaccharides were identified, primarily composed of hexoses and pentoses. Characterization of the OS building blocks via LC-QqQ-MS revealed the dominance of glucose and fructose, followed by arabinose and xylose. In parallel, targeted phenolics quantification by UPLC-DAD showed that (+)-catechin and (−)-epicatechin accounted for up to 50% of quantified phenolics in Chardonnay pomace and 45% in Pinot Noir pomace. This work highlights the molecular intricacies of GP, providing a compositional foundation for its targeted valorization. Full article