Search Results (9,114)

Agricultural waste treatment in the post-production stage is a crucial component of agricultural green development. To achieve ecological revitalization, it is essential to address the pollution constraints posed by agricultural waste. This study is grounded in the survey data collected from 284 mushroom farmers in Gutian County, Fujian Province. Given that the explanatory variable pertains to the number of green treatment behavior adoptions by mushroom farmers regarding mushroom residue, which falls under the category of ordered discrete variables and exhibits an evident recurrence relationship, we opted to analyze the impacts of government regulation, agricultural socialized services, and their interaction terms on the green treatment behavior of mushroom farmers’ mushroom residue through the Ordered Probit model. This approach enabled us to uncover how the differentiation among mushroom farmers influences their green treatment behavior. The study yielded several significant findings. Firstly, both government regulation and agricultural socialized services can effectively drive mushroom farmers to adopt green treatment behaviors for mushroom residue. Secondly, there is an interactive effect between government regulation and agricultural socialized services in relation to the green treatment behavior of mushroom farmers’ residue, indicating a certain degree of complementarity between the two. Thirdly, the differentiation among mushroom farmers has a pronounced impact on the green treatment behavior of mushroom residue. Notably, there are distinct differences in the green treatment behavior of mushroom farmers with varying education levels and planting scales. Moreover, as the education level and planting scale increase, the influence of government regulation and agricultural socialized services on the behavior of mushroom farmers tends to strengthen. Consequently, in the process of promoting the green treatment behavior of mushroom farmers’ mushroom residue, we should maximize the utilization of the policy constraints and guiding measures of government regulation to enhance the normative role of mushroom farmers’ behavior. Simultaneously, we need to fully exploit the recycling and transportation support functions of agricultural socialized services. By grasping the complementarity between government regulation and agricultural socialized services in terms of both normative behavior and solution measures, we can effectively ensure the practical feasibility of the green treatment behavior of mushroom residue. Full article

Selective laser sintering (SLS) is one of the prominent methods of polymer additive manufacturing (AM). A low-power laser source is used to directly melt and sinter polymer material into the desired shape. This study focuses on the utilization of the low-power laser SLS system to successfully manufacture metallic components through the development of a metal–polymer composite material. In this study, 17-4 PH stainless powders are used and mixed with polyoxymethylene (POM) and high-density polyethylene (HDPE) to prepare the composite powder material. The polymeric mixture is removed during the thermal degreasing process and subsequent sintering results in a solid metallic component. Sinterit Lisa with a 5 W, 808 nm laser source is used to fabricate the green part. For the printing parameters of 140 °C, laser power of 35.87 mJ/mm², and layer thickness of 100 μm, the printed samples achieved a maximum density of 3.61 g/cm³ and a complete shape. After sintering at 1310 °C for 180 min, the tensile strength of the shrunk sample is 605.64 MPa, the hardness is HRC 14.8, the average shrinkage rate is 22%, and the density is 7.57 g/cm³, which can reach 97% of the theoretical density. This process allows the use of a wide range of particle sizes that the usual AM technologies have, making it a low-cost, low-energy-consumption, high-speed AM technology. Full article

Two activated carbons were synthesized from baobab seeds (BSs) using two activators, sulfuric acid (BS-AAC) and sodium hydroxide (BS-BAC), for dye removal from aqueous solutions. Malachite green (MG) was used as a model dye. SEM, FTIR, TGA, and surface area were used to characterize the feedstock and synthesis activated carbons. According to the SEM results, the surface morphology differed significantly from that of the raw material due to the many pores created by activating agents during carbonization. Various surface groups existed on the activated carbon surface as shown by FTIR analysis. An oxidation process utilizing hydrogen peroxide (H₂O₂) was investigated for MG. Various reaction parameters such as pH value, H₂O₂ concentration, and activated carbon dosage were investigated for the oxidative degradation of MG. By using BS-AAC and BS-BAC, 97.9% and 78% dye degradation efficiency in aqueous solutions, respectively, was achieved under optimal conditions. This study reveals that MG dye degradation increases with solution pH, making BS-AAC and BS-BAC ineffective at low pH values. However, degradation declines above pH 6. Based on the BS-AAC data, MG removal kinetics were fitted with a first-order kinetic model, while BS-BAC data were fitted with a second-order kinetic model. It was demonstrated that activating baobab with sulfuric acid can form a novel activated carbon that can quickly remove MG from aqueous solutions. The results showed that the removal of malachite green was over 89% for AC-AAC and 77% for AC-BAC, even after four regeneration cycles. Full article

High dewatering costs, resulting from the harvesting and separation of microalgae from the cultivation medium, pose a significant challenge to the large-scale commercial production of algae-based products, accounting for 20–60% of total cultivation expenses. This study presents research findings on the recovery of Baltic green microalgae Chlorella vulgaris BA-167 from water under static sedimentation conditions, evaluating its potential as a cost-effective harvesting method. The study investigates the effect of suspension concentration on the kinetics and efficiency of sedimentation under both autoflocculation and targeted flocculation conditions, using the Flokor 1.2A coagulant, which is commonly employed in industrial water treatment processes in Poland. The novelty of this research lies in the application of the new coagulant Flokor 1.2A to explore its potential for harvesting Chlorella vulgaris BA-167 cultivated under laboratory conditions. The results demonstrate a strong correlation between the algae removal rate and their initial concentration in the suspension, within the range of 0.375–2.380 g/L. Under autoflocculation conditions, the final minimum algae concentration in the liquid after sedimentation ranged from 0.078 to 0.148 g/L, corresponding to initial concentrations of 0.960 g/L and 0.615 g/L, respectively. Experimental results indicate that combining sedimentation with targeted flocculation significantly increases microalgae harvesting efficiency. Flokor 1.2A facilitates the coagulation and agglomeration of microalgae cells, promoting the formation of larger aggregates (flocs) ranging from 20 μm to 690 μm, which settle more easily during gravity-driven sedimentation. Within the coagulant concentration range (C_F) of 0.01–0.36 g/L, sedimentation time was reduced by 3–7 times, and algae harvesting efficiency exceeded 92%. The greatest reductions in algae concentration occurred with 0.12 g/L of coagulant for 0.615 g/L algae and 0.17 g/L for 0.960 g/L algae, achieving maximum harvesting efficiencies of 83.2% and 92.9%, respectively. These results represent a 2.02–2.53-fold improvement over autoflocculation. Full article

Defatting dehulled hemp seeds is a crucial step prior to protein extraction. However, conventional methods rely on flammable solvents, posing significant health, safety, and environmental concerns. Additionally, hemp protein has poor extractability, challenging functionality, and flavor limitations, restricting its broader application in foods. Accordingly, a two-phase natural deep eutectic solvent (NADES)-assisted extraction was evaluated as a solvent-free alternative for co-extracting protein and oil from full-fat hemp flour. In comparison to the reference hemp protein isolate (R-HPI), produced from hexane-defatted flour following conventional alkaline extraction, NADES-extracted hemp protein isolate (N-HPI) had significantly higher protein extraction yield and purity. N-HPI exhibited enhanced surface charge, lower hydrophobicity, and thus higher solubility at an acidic pH compared to R-HPI. N-HPI had a higher abundance of edestin and lower levels of vicilin-like proteins, which contributed to superior gelation compared to R-HPI. N-HPI, compared to R-HPI, contained lower levels of lipid-derived off-flavor compounds, such as aldehydes, alcohols, and ketones. These findings highlighted, for the first time, the potential of a two-phase NADES-assisted extraction as a sustainable alternate and effective process for producing high-quality, functional hemp protein. The development of such a green process is an impetus for broadening the applications of hemp protein in food systems. Full article

One of the important problems of sustainable logistics is routing vehicles in a sustainable manner, the green vehicle routing problem, or vehicle routing problems which aim to reduce CO₂ emissions. In the literature research, it was seen that these problems were solved with heuristic, metaheuristic, or hyper-heuristic methods and hybrid approaches since they are in the NP-hard class. This work presents a parallel multi-process genetic algorithm that incorporates problem-specific genetic operators to minimize CO₂ emissions in the capacity-constrained vehicle routing problem. Unlike previous research, the algorithm combines parallel computing with tailored genetic operators in order to enhance the diversity of solutions and speed up convergence. Genetic algorithm models were developed to minimize total distance, CO₂ emissions, and both objectives simultaneously. Two genetic algorithm models were developed to minimize total distance and CO₂ emissions. Experimental results using the reference CVRP examples such as A-n32-k5 and B-n44-k7 show that the proposed approach reduces CO₂ emissions by 1.2% more than hybrid artificial bee colony optimization, 1.3% more than ant colony optimization, and 4% more than the traditional genetic algorithm. Experimental results using benchmark CVRP instances demonstrate that the proposed approach outperforms hybrid artificial bee colony optimization, ant colony optimization, and traditional genetic algorithms for most of the test cases. This is done by exploiting multi-core processors, and the parallel architecture has improved computational efficiency; the modules compare and update solutions against the global optimum. Results obtained show that prioritizing CO₂ emissions as the only objective yields better results compared to multi-objective models. This study makes two significant contributions to the literature: (1) it introduces a novel parallel genetic algorithm framework optimized for CO₂ emission reduction, and (2) it provides empirical evidence underscoring the advantages of emission-focused optimization in CVRP. Full article

Herein, a WO₃@TCN photocatalyst was successfully synthesized using a self-assembly method, which demonstrated effectiveness in degrading organic dyestuffs and photocatalytic evolution of H₂. The synergistic effect between WO₃ and TCN, along with the porous structure of TCN, facilitated the formation of a heterojunction that promoted the absorption of visible light, accelerated the interfacial charge transfer, and inhibited the recombination of photogenerated electron–hole pairs. This led to excellent photocatalytic performance of 3%WO₃@TCN in degrading TC and catalyzing H₂ evolution from water splitting under visible-light irradiation. After modulation, the optimal 3%WO₃@TCN exhibited a maximal degradation rate constant that was twofold higher than that of TCN alone and showed continuous H₂ generation in the photocatalytic hydrogen evolution. Mechanistic studies revealed that •O₂⁻ constituted the major active species for the photocatalytic degradation of tetracycline. Experimental and DFT results verified the electronic transmission direction of WO₃@TCN heterojunction. Overall, this study facilitates the structural design of green TCN-based heterojunction photocatalysts and expands the application of TCN in the diverse photocatalytic processes. Additionally, this study offers valuable insights into strategically employing acid regulation modulation to enhance the performance of carbon nitride-based photocatalysts by altering the topography of WO₃@TCN composite material dramatically. Full article

This study explores the use of propylene oxide-modified ethylenediamine (PPO-EDA) as a novel crosslinker and chain extender in polyurethane (PU) adhesives. PPO-EDA was synthesized and compared with N,N’-dimethylethylenediamine (DMEDA) to assess its impact on mechanical properties and adhesion performance. Key parameters such as NCO conversion, tensile strength, and lap shear strength were thoroughly evaluated. The results demonstrated that incorporating PPO-EDA significantly improved NCO conversion and crosslink density, leading to notable enhancements in tensile strength and elastic modulus compared to DMEDA. Lap shear tests further revealed superior adhesion performance in PPO-EDA-modified PU adhesives, particularly on amine silane-treated steel substrates, where lap shear strength consistently outperformed other samples. This improved performance was attributed to PPO-EDA’s dual role as a chain extender and crosslinker, which strengthened the adhesive’s structural integrity. This study underscores the effectiveness of PPO-EDA as a modifier for enhancing both mechanical and adhesive properties in PU-based adhesives, offering a promising solution for optimizing high-performance adhesives in automotive and industrial applications. Full article

The problem of food being wasted in households has become an essential challenge in recent years. Food waste can be valorized in accordance with the principles of sustainable development, including as a source of energy. This study analyses the potential of anaerobic fermentation, pyrolysis, ethanol fermentation, incineration, and composting to treat food waste, focusing on its energy yield. This research considered two potential scenarios for generating food waste in Poland in both the near term (2030) and the long term (2050). Scenarios were proposed for regions with different levels of urbanization and demographic trends. The criteria for the selection of technologies for the energy-efficient processing of food waste from households in Poland were identified, taking into account the current state of these technologies, their prospective development, demographic changes, the nature of the regions, the trajectory of food waste generation, the spatial food waste generation rate, and the energy potential. Technologies like methane fermentation and thermochemical methods should be developed in densely populated areas with a high spatial food waste generation rate. Among the thermochemical processes, fast pyrolysis will provide the most significant energy benefits, followed by moderate pyrolysis and biocarbonization—at similar levels. Incineration is placed between carbonization and gasification. In less populated areas with lower spatial food waste generation rates, combining substrates with co-processing food waste and green waste should be considered. Biocarbonization systems can be integrated with composting in rural regions. Full article

This paper proposes a dynamic membrane algorithm (DMA)-oriented computing framework designed to optimize decision-making in Customer-to-Green-Manufacturer (C2GM) operations on industrial internet platforms. Unlike traditional methods that focus solely on economic metrics, the DMA integrates membrane computing principles with evolutionary optimization techniques and incorporates green manufacturing objectives (e.g., energy efficiency, waste reduction, carbon footprint). By doing so, it dynamically aligns customer demands with manufacturing capabilities in real time, ensuring both operational efficiency and environmental stewardship. The DMA facilitates parallel and hierarchical processing of complex decision tasks, mapping evolutionary rules and manufacturing operations into a structured membrane system that accelerates convergence and improves scalability. Experimental evaluations—both in controlled simulations and a real-world case study of C2GM operations in Yiwu—demonstrate that the DMA not only achieves faster and more stable convergence than genetic algorithms but also supports greener production processes. This integrated approach thus enhances strategic decision-making, offering a sustainable pathway for advancing industrial internet ecosystems and global supply chains. Full article

Sunflower meal (SFM), a byproduct of sunflower oil extraction, is a relatively inexpensive protein source with high potential for feed formulations. Dry fractionation methodologies are emerging as ‘green’ and affordable technologies with the potential to additionally enhance the nutritional quality of plant-based raw materials for animal feed, including sunflower meal. Following the optimization of a dry fractionation process in a previous study of the authors, this research aims to validate the defined parameters through the processing of three sunflower meals (SFM1, SFM2, and SFM3) with different characteristics. The dry fractionation process includes two-stage grinding using hammer mill and roll mill and fractionation of sunflower meal by sieving. The process successfully increased the protein content of sunflower meals in the range of 17.5% to 31.2%, reaching levels high enough to be categorized as “high protein” sunflower meals of first quality (42% as is). Exceptionally high fraction yields (76.5–78.9%) were obtained for all three sunflower meals. The lowest energy consumption was recorded for SFM1 (8.44 Wh/kg), while slightly higher values were observed during the processing of SFM2 and SFM3 (9.30 and 9.93 Wh/kg, respectively). Relative amino acid enrichments ranging from 13.35% to 26.64% were achieved, with lysine enrichment ranging from 18.9% to 36% and methionine from 30.6% to 44.1%. Full article

Starting from the COVID-19 pandemic in early 2020, billions of personal protective equipment (PPE), mainly face masks (FMs), are reported to be worn and thrown away every month worldwide. Most of the waste winds up in landfills and undergoes an incineration process after being released into the environment. This could pose a significant risk and long-term effects to both human health and ecology due to the tremendous amount of non-biodegradable substances in the PPE waste. Consequently, alternative approaches for recycling PPE waste are imperatively needed to lessen the harmful effects of PPE waste. The current recycling methods facilitate the conventional treatment of waste, and most of it results in materials with decreased values for their characteristics. Thus, it is crucial to create efficient and environmentally friendly methods for recycling FMs and other PPE waste into products with added value, such as high-quality carbon materials. This paper reviews and focuses on the techniques for recycling PPE waste that are both economically viable and beneficial to the environment through carbonization technology, which transforms PPE waste into highly valuable carbon materials, as well as exploring the possible utilization of these materials for energy storage applications. In conclusion, this paper provides copious knowledge and information regarding PPE waste-derived carbon-based materials that would benefit potential green energy research. Full article

Developing a green energy strategy for municipalities requires creating a framework to support the local production, storage, and use of renewable energy and green hydrogen. This framework should cover essential components for small-scale applications, including energy sources, infrastructure, potential uses, policy backing, and collaborative partnerships. It is deployed as a small-scale renewable and green hydrogen unit in a municipality or building demands meticulous planning and considering multiple elements. Municipality can promote renewable energy and green hydrogen by adopting policies such as providing financial incentives like property tax reductions, grants, and subsidies for solar, wind, and hydrogen initiatives. They can also streamline approval processes for renewable energy installations, invest in hydrogen refueling stations and community energy projects, and collaborate with provinces and neighboring municipalities to develop hydrogen corridors and large-scale renewable projects. Renewable energy and clean hydrogen have significant potential to enhance sustainability in the transportation, building, and mining sectors by replacing fossil fuels. In Canada, where heating accounts for 80% of building energy use, blending hydrogen with LPG can reduce emissions. This study proposes a comprehensive approach integrating renewable energy and green hydrogen to support small-scale applications. The study examines many scenarios in a building as a case study, focusing on economic and greenhouse gas (GHG) emission impacts. The optimum scenario uses a hybrid renewable energy system to meet two distinct electrical needs, with 53% designated for lighting and 10% for equipment with annual saving CAD$ 87,026.33. The second scenario explores utilizing a hydrogen-LPG blend as fuel for thermal loads, covering 40% and 60% of the total demand, respectively. This approach reduces greenhouse gas emissions from 540 to 324 tCO₂/year, resulting in an annual savings of CAD$ 251,406. This innovative approach demonstrates the transformative potential of renewable energy and green hydrogen in enhancing energy efficiency and sustainability across sectors, including transportation, buildings, and mining. Full article

Compared with green plants, brown algae are characterized by their ability to accumulate iodine, contributing to their ecological adaptability in high-iodide coastal environments. Vanadium-dependent haloperoxidase (V-HPO) is the key enzyme for iodine synthesis. Despite its significance, the evolutionary origin of V-HPO genes remains underexplored. This study investigates the genomic and evolutionary dynamics of V-HPOs in brown algae, focusing on Laminariales species, particularly Saccharina japonica. Genomic analyses revealed the extensive expansion of the V-HPO gene family in brown algae, with 88 V-HPOs identified in S. japonica, surpassing the number in red algae. Phylogenetic analysis demonstrated distinct evolutionary divergence between brown and red algal V-HPOs, with the brown algal clade closely related to bacterial V-HPOs. These findings suggest horizontal gene transfer (HGT) played a key role in acquiring V-HPO genes, particularly from Acidobacteriota, a bacterial phylum known for genomic plasticity. Additionally, enriched active transposable elements were identified around V-HPO genomic clusters, highlighting their role in tandem gene duplications and rapid HGT processes. Expression profiling further revealed dynamic regulation of V-HPOs in response to environmental conditions. This study provides new insights into how HGT has driven kelp genomic adaptations and enhances understanding of marine ecological success and evolutionary processes. Full article