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Search Results (328)

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42 pages, 6807 KB  
Review
Intelligent Perception and Control Technologies for Combine Harvesters in Complex Agricultural Environments: A Review
by Zhenwei Liang and Hemeng Hu
Agriculture 2026, 16(12), 1320; https://doi.org/10.3390/agriculture16121320 - 15 Jun 2026
Viewed by 207
Abstract
Combine harvesters in lodged, wet, weedy, uneven, or otherwise heterogeneous fields operate under rapidly changing feed rate, load, and material flow conditions. These disturbances often appear as drum overload, cleaning loss, grain breakage, impurity increase, and unstable travel, whereas conventional fixed-parameter operation still [...] Read more.
Combine harvesters in lodged, wet, weedy, uneven, or otherwise heterogeneous fields operate under rapidly changing feed rate, load, and material flow conditions. These disturbances often appear as drum overload, cleaning loss, grain breakage, impurity increase, and unstable travel, whereas conventional fixed-parameter operation still depends heavily on operator experience. This review examines intelligent perception and control technologies for combine harvesters from a mechanism-to-control perspective. The discussion covers dynamic load evolution, cleaning loss and grain damage mechanisms, multivariable coupling, pre-harvest perception, feed rate and internal state sensing, result layer loss and quality monitoring, forward speed control, threshing drum load regulation, adaptive cleaning control, and whole machine integration. The literature shows a clear shift from isolated sensing or single-parameter adjustment toward multimodal perception, state estimation, predictive control, digital twins, and edge deployment. At the same time, field robustness, cross-condition generalization, actuator bandwidth, sensing delay, and the coupling between result layer monitoring and closed-loop control remain the main barriers to deployment. The review, therefore, argues for a whole machine architecture that links environmental preview, internal state estimation, loss quality feedback, actuator-aware control, and cloud–edge–device collaboration for stable, low-loss, and autonomous harvesting in complex agricultural environments. Full article
(This article belongs to the Section Agricultural Technology)
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19 pages, 3059 KB  
Article
Response Surface Optimization and Parametric Analysis of Hydrogen Production by Ethanol Steam Reforming over Iridium Promoted Mesoporous-Silica Supported Ni Catalyst
by Ramesh Kanthasamy
Catalysts 2026, 16(6), 532; https://doi.org/10.3390/catal16060532 - 9 Jun 2026
Viewed by 317
Abstract
The need for a transition to a low-carbon economy has led to the growing demand for hydrogen as a clean energy source. Hence, ethanol steam reforming (ESR) is one of the promising technological pathways for hydrogen production. Ethanol, which is the major feedstock, [...] Read more.
The need for a transition to a low-carbon economy has led to the growing demand for hydrogen as a clean energy source. Hence, ethanol steam reforming (ESR) is one of the promising technological pathways for hydrogen production. Ethanol, which is the major feedstock, can be obtained from abundant biomass. However, one of the major drawbacks is catalyst deactivation due to the high temperature requirement to start the reaction. This study therefore focused on employing a response surface approach to optimize the operating conditions (reaction temperature, steam-to-ethanol ratio and catalyst amount) of ethanol steam reforming over an Iridium-promoted Ni/MCM-41 catalyst. The Iridium-promoted Ni/MCM-41 catalyst was synthesized using the sequential wet impregnation method and characterized using field emission scanning electron microscopy (FESEM), energy dispersive X-ray spectroscopy (EDS), transmission electron microscopy (TEM), N2 physisorption analysis, and X-ray diffraction (XRD). A central composite experiment design (CCD) was employed to study the effect of the variables on the hydrogen production from the ESR. The catalytic efficacy was ascertained by evaluating the H2 yield under varied experimental conditions provided by the CCD. The characterization of the catalyst revealed well-dispersed Ir and Ni nanoparticles on a mesoporous MCM-41 support. Catalytic evaluations indicate that the H2 yield was most influenced by the reaction temperature (correlation coefficient of 0.68), followed by the catalyst amount (correlation coefficient of 0.34) and steam-to-ethanol ratio (correlation coefficient of 0.28). A maximum H2 yield of 5.82 mol/mol ethanol was obtained at 798.11 °C, a steam-to-ethanol ratio of 3.40, and 1.25 g of catalyst. These findings underscore the importance of Ir-promoted Ni/MCM-41 catalyst for efficient H2 production, highlighting the reaction temperature as a critical parameter for process optimization. Full article
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28 pages, 4229 KB  
Review
Technological and Functional Developments in Wet Cleaning Robots for Household Usage
by Joachim Seibeck, Sebastian Tietz, Madeline Braun, Markus Schmid and Benjamin Eilts
Appl. Sci. 2026, 16(11), 5686; https://doi.org/10.3390/app16115686 - 5 Jun 2026
Viewed by 168
Abstract
Wet cleaning robots have seen a boost in popularity in recent years, with notable impact on their technical features and portfolio of functionalities. To improve cleaning results as well as to create unique selling points, robot manufacturers introduce and expand on new wet [...] Read more.
Wet cleaning robots have seen a boost in popularity in recent years, with notable impact on their technical features and portfolio of functionalities. To improve cleaning results as well as to create unique selling points, robot manufacturers introduce and expand on new wet cleaning concepts such as self-regenerating roller mops, close-to-wall operation and floor sterilisation. This paper takes a narrative approach to provide an overview of the development of wet cleaning robots for household usage in the span of the last four years (2022–2025). During this period, significant advancements have been made to increase the wet cleaning potential in household robots, both wet & dry cleaning units and dedicated wet cleaning models. The review focuses on developments that directly enhance wet cleaning performance (e.g., mop kinematics, regeneration and hygiene functions) and deliberately excludes advances that are not specific to wet cleaning (e.g., battery chemistry or generic navigation). As part of the review process, the findings are checked against the current landscape of technical standardisation. Thus, the paper identifies normative gaps which have opened due to the absence of international technical standards for wet cleaning robots. It advises on filling these gaps by establishing and updating testing guidelines to address new developments. Full article
(This article belongs to the Section Robotics and Automation)
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16 pages, 1234 KB  
Article
Production and Characterization of Pellets from Blends of Residual Biomass of Pinus Wood and Coffee Straw
by Shoraia Germani Winter, Antônio José Vinha Zanuncio, Raquel Julia Cipriano dos Santos, Angélica de Cássia Oliveira Carneiro, Bárbara Lopo de Lima, Amélia Guimarães Carvalho, Fernanda de Jesus Jorge, Iara Fontes Demuner, Letícia Costa Peres and Thaynara Silva Vieira
Sustainability 2026, 18(11), 5586; https://doi.org/10.3390/su18115586 - 2 Jun 2026
Viewed by 261
Abstract
The world’s energy matrix faces challenges in replacing fossil fuels and reducing greenhouse gas emissions. Pellet production is effective for the correct disposal of agricultural waste through the production of biofuels. The objective of this work was to produce and characterize pellets from [...] Read more.
The world’s energy matrix faces challenges in replacing fossil fuels and reducing greenhouse gas emissions. Pellet production is effective for the correct disposal of agricultural waste through the production of biofuels. The objective of this work was to produce and characterize pellets from blends of pine and coffee straw residues, in addition to their compliance with ISO 17225-6/2021. The biomasses were subjected to analysis of dry and wet base moisture, bulk density, upper and lower calorific value (HCV and LCV dry), immediate, structural and elemental chemistry, chloride content, and thermogravimetric behavior. The pellets were produced in nine blends with the Amandus Kahl pellet mill, model 14-175, being submitted to analysis of productivity, moisture in dry and wet base, HCV and LCV dry, chloride, immediate chemistry, hardness, diameter and length, durability and percentage of fines, the analyses were compared by the Scott-knott test at the level of 95% probability. The blends that presented the best overall performance were 100% pine and a mixture of 87.5% pine and 12.5% coffee straws, especially for the higher calorific value (20.65 and 20.65 MJ/kg), moisture (8.98 and 9.17%), and ash (0.22 and 1%), but had limitations regarding mechanical durability (96.74 and 97.12%). The use of blends in pellet production is promising to promote the sustainable use of agricultural waste and the generation of clean energy. Full article
(This article belongs to the Section Resources and Sustainable Utilization)
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15 pages, 3017 KB  
Article
Study on the Influence of Alkane C Chain Length on Coal Slime Flotation Based on Interfacial Thermodynamic Analysis and Characterization
by Wei Zhou, Jiahua Su and Yu Wu
Processes 2026, 14(10), 1657; https://doi.org/10.3390/pr14101657 - 20 May 2026
Viewed by 265
Abstract
The reagent regime is a key means to regulate mineral flotation behavior, with collectors being particularly crucial for enhancing the flotation process. This paper systematically investigates the action mechanisms of hydrocarbon oil components such as n-Nonane, n-Dodecane, n-Tridecane, n-Tetradecane, and n-Pentadecane in coal [...] Read more.
The reagent regime is a key means to regulate mineral flotation behavior, with collectors being particularly crucial for enhancing the flotation process. This paper systematically investigates the action mechanisms of hydrocarbon oil components such as n-Nonane, n-Dodecane, n-Tridecane, n-Tetradecane, and n-Pentadecane in coal slime flotation through a combined approach of molecular dynamics simulation and experimental verification. The simulation results show that as the alkane chain length increases, the absolute value of the adsorption energy between the alkane and coal gradually increases (the adsorption energy is negative, indicating that the adsorption process can occur spontaneously), with n-Pentadecane exhibiting the highest adsorption energy. Experimentally, the oil–water mixture achieved optimal dispersity after ultrasonic treatment and standing for 10 min. This dispersity is characterized by the average oil droplet diameter and the most uniform droplet size distribution under the test conditions. The wetting heat test further verified that pentadecane exhibits the strongest interaction with coal slime and the fastest adsorption rate. In flotation tests, n-Tetradecane demonstrated the best actual flotation performance, with a clean coal yield of 70.88%, a combustible recovery of 82.55%, and a flotation perfection index of 50.75%. This study reveals the influence mechanism of alkane chain length on coal slime flotation behavior, providing a theoretical basis for the screening and compounding of efficient collectors. Full article
(This article belongs to the Section Separation Processes)
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19 pages, 3221 KB  
Article
Field Validation of Hyperspectral Imaging for Ballast Fouling Assessment
by Boshra Besharatian and Sattar Dorafshan
Remote Sens. 2026, 18(10), 1640; https://doi.org/10.3390/rs18101640 - 20 May 2026
Viewed by 370
Abstract
This study evaluates the performance of hyperspectral imaging (HSI) as a non-contact method for assessing railroad ballast fouling. A severely degraded ballast sample was collected from a derailment site. Conventional fouling indices were measured, indicating extreme ballast deterioration and fouling. To establish a [...] Read more.
This study evaluates the performance of hyperspectral imaging (HSI) as a non-contact method for assessing railroad ballast fouling. A severely degraded ballast sample was collected from a derailment site. Conventional fouling indices were measured, indicating extreme ballast deterioration and fouling. To establish a quantitative baseline for degradation severity, hyperspectral reflectance data in the Visible–Near Infrared (VNIR) and Near Infrared (NIR) ranges were acquired for field samples under fouled-wet (as-received), fouled-dry (oven-dried), and clean-dry (oven-dried and sieved) conditions. Field spectra were compared with laboratory-fabricated ballast mixtures containing clay and coal fouling agents to ensure the results were not skewed due to the sampling procedure. Spectral similarity analysis using the Spectral Angle Mapper (SAM) was employed to quantify differences across ballast conditions. The maximum SAM angle reached approximately 0.45 radians between the as-received and clean-dry states in the NIR range, reflecting the combined effects of fouling and moisture. Comparisons between field and laboratory-fabricated samples showed moderate similarity, with SAM angles below 0.30 radians, indicating general agreement between field and laboratory spectra while capturing differences related to fouling agents, moisture retention, and compositional variability. Full article
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19 pages, 1322 KB  
Article
Compound-Resolved VOC Dynamics in a Full-Scale Medium-Density Fibreboard Dryer: Process–State Screening Across Wood Furnish, Amino Resin Dosing, and Thermal Operating Variables
by Vladimir Nedić, Andreas Paul, Marius Catalin Barbu and Lubos Kristak
Polymers 2026, 18(10), 1230; https://doi.org/10.3390/polym18101230 - 18 May 2026
Cited by 1 | Viewed by 429
Abstract
Industrial control of volatile organic compound (VOC) emissions from medium-density fibreboard (MDF) production remains constrained by a shortage of compound-resolved evidence from full-scale plants, where wood furnish, amino resin chemistry, heat transfer, gas flow, and wet gas cleaning act simultaneously. Here, we analysed [...] Read more.
Industrial control of volatile organic compound (VOC) emissions from medium-density fibreboard (MDF) production remains constrained by a shortage of compound-resolved evidence from full-scale plants, where wood furnish, amino resin chemistry, heat transfer, gas flow, and wet gas cleaning act simultaneously. Here, we analysed more than 20,000 synchronized operating records from a full-scale single-stage flash-tube MDF dryer at an industrial SWISS KRONO production line and linked total VOC (TVOC) measurements from flame ionization detection with Fourier-transform infrared speciation on the cleaned stack. Five compounds—α-pinene, 3-carene, limonene, methanol, and formaldehyde—accounted for more than 80% of the resolved VOC signal. Process–state contrasts showed that higher digester residence time, discharge screw speed, adhesive amount, urea amount, dryer inlet temperature, and scrubber–water temperature increased one or more representative compounds, whereas higher hardwood share, additional flue-gas supply, and higher scrubber–water pH decreased them. Limonene, methanol, and formaldehyde were substantially more process-sensitive than α-pinene. An exploratory decorrelation step further showed that a drying/throughput domain explained about half of the variability of the screened process space. The study therefore identifies the small set of compounds and operating domains that most strongly govern the cleaned dryer-stack signature and provides a mechanistically grounded prioritization framework for follow-up causal experiments, source apportionment, and emission-mitigation design in industrial MDF manufacture. Unlike product or chamber emission studies, this work links the compound-resolved FTIR/FID chemistry of the final cleaned industrial stack with synchronized production variables; it therefore addresses a scale-integration gap by transforming routine compliance-type exhaust monitoring into a process-diagnostic framework for ranking emission sources, abatement-sensitive variables, and mitigation experiments. Full article
(This article belongs to the Special Issue Advances in Wood and Wood Polymer Composites)
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23 pages, 685 KB  
Review
Hydrogen Production from Biomass Through Conversion Pathways and Energy Efficiency Analysis—A Review
by Nevena M. Mileva, Penka Zlateva, Angel Terziev and Krastin Yordanov
Sustainability 2026, 18(9), 4470; https://doi.org/10.3390/su18094470 - 1 May 2026
Viewed by 1385
Abstract
Hydrogen is increasingly seen as a viable energy carrier in the transition to low-carbon energy systems, mainly because of its high gravimetric energy density and the absence of carbon emissions at the point of use. In this context, producing hydrogen from biomass represents [...] Read more.
Hydrogen is increasingly seen as a viable energy carrier in the transition to low-carbon energy systems, mainly because of its high gravimetric energy density and the absence of carbon emissions at the point of use. In this context, producing hydrogen from biomass represents a practical and sustainable option, as it allows the use of renewable and waste resources while supporting circular economy principles. This work examines the main pathways for hydrogen production from biomass, considering both thermochemical and biochemical routes, with a focus on their energy performance and practical limitations. The analysis shows that thermochemical processes, particularly gasification, remain the most developed and scalable solutions for converting solid biomass into hydrogen-rich gas, although their performance depends strongly on feedstock properties, reactor design, and operating conditions. By comparison, biochemical processes such as dark fermentation and photofermentation are more suitable for wet biomass but are limited by lower hydrogen yields and issues related to process stability. From a thermal engineering standpoint, system performance is influenced by heat transfer constraints, the energy demand of endothermic reactions, and the efficiency of gas cleaning, while parameters such as temperature, steam-to-biomass ratio, and equivalence ratio play a key role in optimization. Advanced approaches, including catalytic and sorption-enhanced gasification, show potential for improving performance. Overall, efficient hydrogen production requires a system-level approach, as no single technology can be considered universally optimal. Full article
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22 pages, 1383 KB  
Article
Skin, Clothing, and Surface Contamination with Metals at a Powder Additive Manufacturing Facility
by Aleksandr B. Stefaniak, Elizabeth D. Brusak, Lauren N. Bowers, Austin Kron, Sherri A. Friend and M. Abbas Virji
Safety 2026, 12(2), 54; https://doi.org/10.3390/safety12020054 - 17 Apr 2026
Viewed by 704
Abstract
Powder bed fusion (PBF) and directed energy deposition (DED) additive manufacturing use feedstock powders that contain metals associated with skin diseases. We performed a survey of surface contamination and limited task-based dermal exposure assessment (four employees) at a PBF and DED facility. Skin [...] Read more.
Powder bed fusion (PBF) and directed energy deposition (DED) additive manufacturing use feedstock powders that contain metals associated with skin diseases. We performed a survey of surface contamination and limited task-based dermal exposure assessment (four employees) at a PBF and DED facility. Skin wipes of wrists for two employees in the PBF room had higher post-task levels of chromium, cobalt, molybdenum, and nickel. Personal clothing worn by PBF employees showed evidence of contamination with metals as did personal protective equipment (PPE). Microscopy analysis documented contamination of metals throughout most areas of the facility. Levels of metals on surfaces throughout the facility were (ng/cm2) <5.0–7247 (aluminum), <0.2–4899 (chromium), <background-6.0 (chromium VI), 0.03–468.1 (cobalt), 1.6–100.0 (copper), 32.9–19,000 (iron), 0.01–789.0 (molybdenum), 0.1–12,058 (nickel), 0.1–482.8 (titanium), and 0.07–9.3 (vanadium). Levels were significantly lower in administrative areas compared with the production area but generally did not differ among powder handling and non-powder handling rooms in production. The small number of participants in the dermal exposure assessment and uniqueness of the facility might limit generalizability of the results. At least for this facility, steps to lower skin contact with metals can include washing, consistent use of PPE, and increasing awareness of dermal hazards among workers. Approaches to reduce migration of metals throughout a facility can include using adhesive (“tacky”) mats and boot covers and frequent wet cleaning of floors, tools, handles, and high touch surfaces. Full article
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19 pages, 5925 KB  
Article
Femtosecond Laser-Engineered Sustainable Glass Surfaces with Tunable Wettability Properties for Photovoltaic System Applications
by Emil Filipov, Liliya Angelova, Aleksandra Zhelyazkova and Albena Daskalova
Nanomaterials 2026, 16(8), 475; https://doi.org/10.3390/nano16080475 - 17 Apr 2026
Viewed by 549
Abstract
This study investigates the femtosecond laser surface texturing approach to tune the wetting properties of glass substrates applied for photovoltaic panels. Two types of microstructured LIPSS-containing motifs—parallel channels and intersecting (crossing) patterns—were fabricated and evaluated through comprehensive durability tests, including thermal cycling, UV [...] Read more.
This study investigates the femtosecond laser surface texturing approach to tune the wetting properties of glass substrates applied for photovoltaic panels. Two types of microstructured LIPSS-containing motifs—parallel channels and intersecting (crossing) patterns—were fabricated and evaluated through comprehensive durability tests, including thermal cycling, UV exposure, chemical immersion, mechanical abrasion, and dust retention assessment. Wettability measurements showed that both textures exhibit stable hydrophilicity behavior, with the intersecting patterns exhibiting the fastest wetting dynamics; in many cases, complete surface wetting occurred within the first few minutes, preventing a measurable contact angle at later stages. The durability tests caused only minor smoothing of the textured features, and the overall micro- and nanostructures remained intact. Optical characterization revealed that the laser-induced textures maintained high transmittance with no significant degradation after environmental exposure. Overall, the results demonstrate that femtosecond laser texturing provides a robust, coating-free method for producing stable and tunable wetting behavior on glass, offering a promising pathway for the future creation of durable, highly hydrophilic self-cleaning surfaces in photovoltaic systems. Full article
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26 pages, 14566 KB  
Article
Compound-Resolved Gas–Water Assessment of RDF Pyrolysis with Wet Scrubbing: Operating Windows for Internal Combustion Engine Combined Heat and Power and Closed-Loop Water Management
by Sergejs Osipovs and Aleksandrs Pučkins
Energies 2026, 19(8), 1870; https://doi.org/10.3390/en19081870 - 11 Apr 2026
Viewed by 500
Abstract
Pyrolysis of refuse-derived fuel (RDF) is a promising waste-to-energy route, but its use in higher-value applications remains limited by tar carryover, benzene, toluene, ethylbenzene, and xylenes (BTEX), heteroatom-containing compounds, and pollutant accumulation in recirculated scrubber water. This study evaluated operating windows for RDF [...] Read more.
Pyrolysis of refuse-derived fuel (RDF) is a promising waste-to-energy route, but its use in higher-value applications remains limited by tar carryover, benzene, toluene, ethylbenzene, and xylenes (BTEX), heteroatom-containing compounds, and pollutant accumulation in recirculated scrubber water. This study evaluated operating windows for RDF pyrolysis coupled with direct wet scrubbing and closed-loop water reuse, with the aim of identifying regimes suitable for different end-use tiers. A Taguchi L27 design of experiments (DOE), i.e., an orthogonal array comprising 27 experimental runs, was applied to evaluate the effects of pyrolysis temperature, residence time, scrubber liquid-to-gas ratio, and scrubber-water temperature, while sequential reuse of the same scrubber-water inventory was evaluated at 5, 10, and 15 cycles. Cleaned-gas pollutants were quantified by compound-resolved gas chromatography–mass spectrometry (GC–MS) after solid-phase adsorption (SPA) sampling, while phenolics and polycyclic aromatic hydrocarbons (PAHs) in scrubber water were determined by extraction followed by GC–MS. Feasibility within each end-use tier was defined as simultaneous satisfaction of tier-specific cleaned-gas thresholds (Ctar, CBTEX, IN, and IS) and the corresponding water-loop hazard limit (Itox), using literature-informed engineering screening criteria. The results showed that stronger scrubbing reduced gas-phase tar and BTEX burdens, whereas extended water reuse caused systematic accumulation of phenolics and PAHs and increased the composite water-loop hazard index. Boiler-grade operation remained feasible across a broad operating range, with 23 of the 27 tested conditions remaining robust, whereas internal combustion engine combined heat and power (ICE-CHP) feasibility was restricted to a narrow robust regime, and no robust microturbine-grade condition was identified. These findings show that operating windows for RDF pyrolysis must be defined jointly by gas cleanliness and water-loop management constraints. Full article
(This article belongs to the Section A: Sustainable Energy)
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77 pages, 1950 KB  
Review
Sustainable Utilization of Brewer’s Spent Grains for Energy Production: Technologies, Challenges, and Development Prospects
by Tomasz Kalak
Energies 2026, 19(8), 1828; https://doi.org/10.3390/en19081828 - 8 Apr 2026
Cited by 1 | Viewed by 703
Abstract
Brewer’s spent grain (BSG) is one of the major by-products of the brewing industry and an abundant lignocellulosic stream with potential for energy recovery and broader biorefinery use. This review evaluates the main BSG-to-energy pathways, including anaerobic digestion (AD), combustion/co-combustion, pyrolysis, gasification, and [...] Read more.
Brewer’s spent grain (BSG) is one of the major by-products of the brewing industry and an abundant lignocellulosic stream with potential for energy recovery and broader biorefinery use. This review evaluates the main BSG-to-energy pathways, including anaerobic digestion (AD), combustion/co-combustion, pyrolysis, gasification, and hydrothermal processes (HTC/HTL), with emphasis on technical performance, environmental aspects, implementation constraints, and integration into brewery systems. Particular attention is given to the effect of BSG heterogeneity, high moisture content, protein and ash composition, and storage instability on process selection and operability. In addition to summarizing pathway-specific evidence, the manuscript proposes a harmonized comparative framework and an integrated technical–economic–environmental interpretation of BSG valorization options. The analysis shows that wet-feed-compatible pathways, especially AD and hydrothermal processing, are generally better aligned with the intrinsic properties of fresh BSG, whereas thermochemical routes usually require more intensive feedstock conditioning and tighter control of ash-related and gas cleaning risks. The review also highlights that long-term operational reliability, scale-up constraints, and utility integration are as important as nominal conversion efficiency when assessing practical deployment. Current evidence suggests that the most realistic implementation strategies are context-dependent and should be selected according to brewery scale, energy demand profile, available heat integration, and acceptable operational risk. Future research should prioritize harmonized reporting, long-term industrial validation, and the development of robust hybrid systems and brewery-integrated biorefinery configurations. Full article
(This article belongs to the Special Issue Sustainable Biomass Conversion: Innovations and Environmental Impacts)
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20 pages, 826 KB  
Review
Assessment and Standards in Hygienic Design of Food Equipment: A Comprehensive Cross-Industry Review
by Ivana Pejanovic, Ilija Djekic, Nemanja Kljajevic and Nada Smigic
Standards 2026, 6(1), 9; https://doi.org/10.3390/standards6010009 - 3 Mar 2026
Cited by 1 | Viewed by 3418
Abstract
Hygienic design of food processing equipment is essential for maintaining food safety by minimizing contamination risks and ensuring that equipment can be cleaned and sanitized effectively. This comprehensive cross-industry review summarizes currently available standards and guidelines for the hygienic design of food processing [...] Read more.
Hygienic design of food processing equipment is essential for maintaining food safety by minimizing contamination risks and ensuring that equipment can be cleaned and sanitized effectively. This comprehensive cross-industry review summarizes currently available standards and guidelines for the hygienic design of food processing equipment and discusses how their qualitative requirements can be translated into practical assessment tools, such as checklists or risk-based approaches to prioritize nonconformities. Differences between wet and low-moisture operations, as well as the particular challenges of packaging and end-of-line equipment, are summarized to illustrate that practical implementation of hygienic design principles must be adapted to sector-specific hazards, processing conditions and cleaning strategies. Outbreaks and product recalls linked to equipment that is difficult to clean or poorly designed are included to show how design limitations can contribute to persistent contamination and food safety incidents. Full article
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29 pages, 13675 KB  
Article
A Hybrid AE-SDGC-Autoformer Model for Short-Term Runoff Forecasting and Sustainable Water Resource Management
by Renfeng Liu, Liangyi Wang, Liping Zeng, Dingdong Wang and Xinhua Li
Sustainability 2026, 18(4), 2096; https://doi.org/10.3390/su18042096 - 19 Feb 2026
Viewed by 541
Abstract
Runoff forecasting is an essential application in the management of water resources and sustainable development. In practice, there are limitations in the forecast results because of factors such as data unavailability, noise interference, and spatiotemporal variation in multi-site data. To overcome the limitations, [...] Read more.
Runoff forecasting is an essential application in the management of water resources and sustainable development. In practice, there are limitations in the forecast results because of factors such as data unavailability, noise interference, and spatiotemporal variation in multi-site data. To overcome the limitations, this paper proposes a hybrid forecast model based on Autoencoder (AE), Sparsified Dynamic Graph Convolution (SDGC), and Autoformer. The AE cleans noise and sharpens feature representation, the SDGC constructs dynamic adjacency matrices via the Multidimensional Dynamic Time Warping (MDTW) and sparsifies with a parameterized Multi-Layer Perceptron (MLP) to capture time-varying spatial correlations among stations, and the Autoformer decomposes features to model long-term nonlinear runoff trends through its autocorrelation mechanism. The experiment was carried out in six locations in the southeastern part of Guizhou province during the wet and dry periods and was contrasted with different mainstream models and supplemented with hydrological mechanism consistency analysis. Experimental results show that the hybrid model performs better than all the other models. In the short-term runoff simulation at XingHua Station during the wet season, NSE attains the maximum value of 0.891, with RMSE decreased by 6.5% to 24.1% and MAE by 20.2% to 35.5%. This model provides accurate runoff data to support flood early warning, dry-season water scheduling, and ecological flow protection, offering a reliable tool for sustainable water resource management in complex karst basins. Full article
(This article belongs to the Section Sustainable Water Management)
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15 pages, 3390 KB  
Article
Surface Termination and Morphology of Single Crystal AlN by Ex Situ Chemical Treatment and In Situ MOCVD Process
by Yinghao Chen, Jun Zhang, Genhao Liang, Hongyi Yi, Lei Wang, Hao Ying and Lishan Zhao
Micromachines 2026, 17(2), 242; https://doi.org/10.3390/mi17020242 - 13 Feb 2026
Viewed by 1733
Abstract
To achieve an atomically clean surface of single-crystal aluminum nitride (AlN) substrates, this study systematically evaluated the effects of each step in ex situ wet chemical cleaning (solvent, piranha solution, HF, HCl) and in situ hydrogen annealing. X-ray photoelectron spectroscopy (XPS) and atomic [...] Read more.
To achieve an atomically clean surface of single-crystal aluminum nitride (AlN) substrates, this study systematically evaluated the effects of each step in ex situ wet chemical cleaning (solvent, piranha solution, HF, HCl) and in situ hydrogen annealing. X-ray photoelectron spectroscopy (XPS) and atomic force microscopy (AFM) analyses revealed that while the combination of solvent and piranha solution exposed step morphology, its effectiveness in removing organic contaminants was limited. HF cleaning efficiently removed the oxide layer but introduced fluorine residues, whereas HCl cleaning left no chlorine residues but exhibited lower efficiency in oxide removal. In situ hydrogen annealing significantly reduced carbon and oxygen contamination, albeit accompanied by a transformation of the surface morphology from step to island mode. By modulating the low V/III ratio during low-temperature metal–organic chemical vapor deposition (MOCVD) growth, a controlled transition from 3D island growth to 2D step-flow growth was achieved. This research provides a basis for optimizing AlN substrate surface treatment, offering important insights for advancing nitride-based optoelectronic and power devices. Full article
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