Search Results (404)

Compression tests are widely used to characterize cereal kernels, yet the loading rate is often treated as a secondary methodological factor, despite the fact that the ASAE S368.4 procedure recommends a low crosshead speed, whereas industrial size-reduction operations involve much faster and more complex loading conditions. This mismatch limits the direct transfer of laboratory data to milling practice and makes it difficult to compare results obtained under different test settings. The aim of this study was therefore to determine how grain moisture content and loading rate (crosshead speed) affect kernel damage and selected mechanical properties of bread wheat cultivars (Bataja and Tytanika) and feed wheat cultivars classified in the Polish C quality group (Lawina and Sikorka). Before the analyses, kernels were adjusted to five moisture levels: 10%, 12%, 14%, 16%, and 18% on a wet basis (w.b.). Compression tests were conducted at six crosshead speeds: 1, 3, 5, 10, 30, and 50 mm min⁻¹. The conversion ratio of mechanical properties determined relative to 1 mm min⁻¹ and 10% moisture content ranged from 0.46 to 2.59, confirming that both factors markedly changed kernel response. Rupture force generally decreased with increasing moisture content, whereas longitudinal strain, relative strain and rupture energy increased. A distinct decrease in all mechanical parameters was observed at 10 mm min⁻¹, and this effect became more pronounced at higher moisture contents. The results indicate that the loading rate should be reported and controlled in wheat kernel compression tests and should be considered when laboratory measurements are used to support milling optimization. However, the proposed value of 10 mm min⁻¹ should be interpreted as a promising laboratory reference point rather than as a direct industrial operating standard. Full article

Background/Objectives: Dry eye disease (DED) is a multifactorial ocular surface disorder characterized by tear film instability and decreased tear secretion, largely driven by chronic ocular surface inflammation. Although current therapies primarily target inflammation and tear film stabilization, their clinical efficacy is often limited by insufficient ocular surface retention. In this study, we explored a drug repositioning strategy for DED by developing a nanocrystalline formulation of troxipide (TRO), a gastric mucosal protective agent with cytoprotective properties. Methods and Results: A TRO nanosuspension (TRO-NPs) was successfully prepared by wet bead milling, yielding particles with a mean diameter of approximately 100 nm. Physicochemical characterization revealed that the crystalline structure, solubility, viscosity, pH, and osmolarity of the nanosuspension were comparable with those of the conventional TRO microsuspension (TRO-MPs). In contrast, the TRO-NPs exhibited markedly improved dispersion stability, maintaining particle suspension for at least 1 month after preparation. Repeated topical instillation of the TRO-NPs did not induce corneal toxicity or inflammation in rabbits, and resulted in significantly higher drug retention in the tear fluid than that observed for the TRO-MPs. Furthermore, in an N-acetylcysteine-induced rabbit dry eye model, repetitive instillation of the TRO-NPs significantly increased tear volume and mucin levels, leading to improved tear film stability. Conclusions: These findings demonstrate that nanosuspension-based formulations can enhance ocular surface retention and therapeutic efficacy of TRO. TRO-NPs therefore represent a promising nanomedicine-based repositioned therapy for the treatment of DED. Full article

Although olive mill by-products and effluents (OMBP) are commonly regarded as potential environmental liabilities, they contain constituents that may offer recovery potential. This study proposes an integrated scheme combining dry (filtration, milling and sieving) and wet (distillation) fractionation, as well as thermochemical (carbonisation) processes, to stabilise and convert OMBP into solid and liquid fractions for potential applications. Mass and energy balances were established and the resulting products characterised. A preliminary technical and economic feasibility assessment was also conducted. The findings suggest that such an integrated valorisation framework could be implemented at local olive oil production sites. This could reduce resource losses (e.g., water and energy) and transport-related emissions while supporting local development opportunities. Full article

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

Background/Objectives: The objective of this study was to design and optimize a continuous wet granulation process for Amiodarone hydrochloride tablets using a Design of Experiments approach. The study compared and evaluated the characteristics of granules and tablets produced via a high-shear mixer (batch process) and a twin-screw granulator (continuous process). Methods: For process optimization, a central composite design was applied to establish a design space, defining screw speed and milling size as critical process parameters (X) and dissolution rate, flowability, assay, disintegration time, and friability as dependent variables (Y). Results: Comparative results between the two processes revealed no significant differences in in-process control parameters, and all formulations successfully met the target dissolution profiles. Notably, the similarity factor (f₂) was calculated to be above 50, through which dissolution equivalence was successfully demonstrated with a high level of statistical certainty. Regarding process efficiency, lead time measurements confirmed that the continuous process dramatically reduced manufacturing time by more than 80% compared to the batch process. Conclusions: This study validates the feasibility of converting batch-based drug manufacturing to a continuous platform without altering the formulation, presenting an effective process strategy for enhancing productivity and operational efficiency in the pharmaceutical industry. Full article

Ball milling can improve protein recovery from defatted rice bran, but the links among milling conditions, particle attributes, and extraction transport remain insufficiently defined. This study evaluated the effects of milling time (30–90 min) and rotational speed (30–120 rpm) on powder properties and alkaline protein extraction at pH 11 for 30–180 min at 24, 37, and 50 °C. Powders were characterized by laser diffraction, SEM image analysis, X-ray diffraction, and extraction-relevant indices describing the interfacial area and diffusion time scale. Extraction curves were fitted to first-order, pseudo-second-order, Peleg, and apparent Fick diffusion models. Milling reduced median particle size from 145 to 61 µm, increased fines (<45 µm) from 1.86% to 32.09%, and raised surface area proxies by about 30- to 40-fold. Compared with the control sample, milled samples generally showed faster extraction and higher protein recovery, with maximum endpoint recoveries of 89.91 mg g⁻¹ at 24 °C, 90.06 mg g⁻¹ at 37 °C, and 86.10 mg g⁻¹ at 50 °C. Late-stage extraction data collapsed onto a Fickian master curve, indicating diffusion-limited behavior, and apparent effective diffusivity increased with temperature. At 37 °C, the radius–shape–circularity model explained nearly all the between-powder variation in $\ln D_e\left(R^2=0.998;\mathrm{adjusted} R^2=0.996\right)$, and the shape factor remained significant after accounting for particle radius $\left(p=0.0179\right)$. Overall, ball milling improved extraction primarily by reducing diffusion length and altering particle morphology, providing practical guidance for optimizing rice bran protein recovery. Full article

The valorization of agro-industrial byproducts has emerged as an important strategy to improve resource efficiency and promote circular food systems. This study evaluated avocado (Persea americana Mill.) seed as a functional ingredient for frankfurter-type sausages using extrusion followed by enzyme-assisted wet milling. Extrusion modified the techno-functional properties of avocado seed flour, increasing the water absorption index from 2.87 to 3.91 g/g while reducing the oil absorption index from 2.12 to 1.84 g/g. In addition, extrusion reduced the total acetogenin content by approximately 82.8% (11.99 to 2.07 mg/g), indicating a substantial reduction of these endogenous compounds. When incorporated at a concentration of 1% (w/w) to replace commercial soy fiber, avocado seed ingredients produced frankfurter-type sausages with low cooking losses (1.67–3.77%), stable water activity (0.979–0.990), and an acceptable instrumental hardness (1.01–1.41 N) over 35 days of refrigerated storage. Consumer sensory evaluation (n = 106) showed comparable or higher flavor and overall acceptability scores for sausages containing avocado seed flour relative to the control formulation. These findings demonstrate that extruded avocado seed flour can function as a viable upcycled ingredient for emulsified meat products, supporting circular bioeconomy approaches for the development of value-added foods of animal origin. Full article

Wet stirred-media milling (WSMM) is among the most widely used techniques for producing high-drug-loaded stable nanosuspensions, owing to its ease of scale-up, good repeatability, operational versatility and broad applicability. However, WSMM is also associated with high energy demand, substantial heat generation, and extended milling times. To reduce energy consumption, optimize the process and gain a deeper understanding of breakage kinetics, robust mechanistic models should be investigated. In this study, a microhydrodynamic (MHD) model framework is examined, and the first closed-form analytical solution for granular temperature $\theta$, a key parameter in the MHD model, is derived. In addition, an existing power consumption correlation from the literature is adopted and extended by introducing an additional parameter that accounts for bead-size effects, and the resulting improved formulation is embedded into the analytical framework. This integration facilitates continuous evaluation of power consumption, $\theta$ and the additional MHD parameters across the milling parameter space. With backward compatibility and high-quality fitting performance, the improved power consumption model enables robust, reliable, and systematic evaluation of sensitivities and trade-offs over diverse milling conditions, including varying stirrer speeds, bead loadings, and bead sizes. Full article

Quinoa fibre-rich fraction (QFi), obtained through wet milling, represents an innovative approach to improving the nutritional and functional quality of cereal-based products. Unlike conventional whole quinoa flour (WhQF), wet milling induces phytate losses during steeping, generating ingredients with enhanced mineral bioavailability. This study evaluated the incorporation of QFi into wheat pasta, assessing dietary fibre contribution, mineral bioavailability, cooking behaviour, and colour. Six fortified formulations were prepared by partially replacing wheat flour with WQF (white, red, or black) or QFi from the same varieties, with inclusion levels adjusted to provide equivalent dietary fibre across formulations. All quinoa-enriched pastas raised dietary fibre contribution compared with the control. Mineral contents also incremented, with the greatest values observed in formulations containing black quinoa ingredients. Fe and Zn contents were greatest in pastas with black WhQF, while Ca concentration was richer in formulations containing black QFi. Mineral absorption may be partially inhibited in pastas with WhQF, particularly in those containing the red quinoa. In contrast, QFi showed reduced phytate levels, highlighting the nutritional advantage of wet milling. Technologically, quinoa ingredients increased water absorption during pasta cooking. Overall, wet milled QFi provides a novel alternative to WhQF, combining improved mineral bioavailability with suitable technological properties for pasta processing. Full article

High-quality direct reduced iron (DRI) powder is essential for applications in catalysis, adsorption, and electromagnetic materials. However, its tendency to reoxidize during processing presents a significant challenge. This study investigates the oxidation behavior of DRI powder during wet ball-milling treatment. Samples were characterized using chemical phase dissolution, X-ray diffraction (XRD), scanning electron microscopy with energy-dispersive X-ray spectroscopy (SEM-EDS), and X-ray photoelectron spectroscopy (XPS) to assess both bulk and surface oxidation. The results reveal that significant oxidation occurs during the wet grinding and subsequent processing stages, with the relative oxidation degree (ROD) of the iron powder increasing sharply from 6.08% to 26.81% as the grinding time is extended from 20 to 40 min. SEM-EDS analysis indicates that oxidation is particularly pronounced in particles smaller than 10 μm. XRD confirms the gradual transformation of Fe⁰ to Fe₃O₄ with prolonged grinding, corroborating the chemical analysis. Furthermore, XPS analysis of the Fe 2p, Fe 3p, Fe 3s, and O 1s core levels reveals that the nanoscale surface is composed of Fe₂O₃, Fe₃O₄, Fe(OH)₃, and FeOOH—a composition distinctly different from the bulk Fe/Fe₃O₄ phases. These findings underscore the critical roles of particle size and mechanical activation in driving DRI reoxidation during wet milling. Full article

Rice (Oryza sativa L.) grain quality is a critical determinant of market value, consumer acceptance, and nutritional security. This multifaceted trait is governed by the dynamic interaction of genotype (G), environment (E), and management practices (M). In this review, we synthesize recent advances in understanding these multifaceted determinants. We first delineate the genetic architecture, emphasizing key genes and quantitative trait loci (QTLs) such as Wx, ALK, Chalk5, and the GS3/GW families, which control starch composition, gelatinization temperature, chalkiness, and grain dimensions, forming the foundational blueprint for quality potential. We examine how this genetic potential is influenced by environmental factors, focusing on the detrimental impacts of abiotic stresses, particularly high temperatures during grain filling and drought, which impair milling yield, increase chalkiness, and modify starch and protein profiles. Furthermore, we discuss how optimized agronomic strategies—including precision water management (e.g., alternate wetting and drying), balanced nitrogen fertilization, and targeted micronutrient (e.g., silicon) application—can mitigate these adverse effects and potentially improve specific quality parameters. Post-harvest handling is identified as the final determinant of product quality. We conclude that achieving high and stable rice quality under climate variability requires an integrated G × E × M approach. Prospects include next-generation breeding for climate-resilient quality, precision agronomy guided by real-time sensing, synergistic soil health management, and the integration of systems biology with digital agriculture to design sustainable, high-quality rice production systems. Full article

To address the capacity decay of NCM811 caused by microcracks and cation disorder during cycling, La, Al, and F tri-doped micron-sized single-crystal NCM811 material with a LiNbO₃ coating was synthesized via a facile co-solvent method. Using a mixed glucose–urea thermal solution as the reaction medium, metal salts were incorporated, followed by step-wise sintering, ball-milling, heat treatment, and wet-chemical coating. This approach enables atomic-level precursor mixing and ensures homogeneous element distribution. La³⁺ enlarges the lithium layer spacing to enhance ion diffusion and Al³⁺ suppresses Ni³⁺ reduction to Ni²⁺, mitigating cation mixing and improving conductivity, while F⁻ stabilizes the crystal structure via its strong electronegativity. The LiNbO₃ coating protects the interface from electrolyte attack, and the single-crystal morphology effectively suppresses microcracking. Compared to unmodified single-crystal NCM811 prepared identically, the modified material exhibits reduced cation disorder, improved crystallinity, and superior thermal stability. Electrochemical tests in half-cells with 1 M LiPF₆/(EC/EMC/DMC) electrolyte (2.8–4.3 V) show an initial discharge capacity of 208.32 mAh/g at 0.1 C and 194.05 mAh/g at 1 C. After 200 cycles at 1 C, the capacity retention remains at 92.21%, exceeding the market average. Rate performance is also notably enhanced, with the 5 C discharge capacity increasing from 141.12 mAh/g (unmodified) to 166.81 mAh/g, demonstrating improved kinetics and structural stability. Full article

To the authors’ knowledge, this is the first industrial machine learning (ML) study focused on wet vertical stirred media milling. The study develops and validates machine learning (ML) models to predict the key operating parameters, namely mill discharge product size, mill feed slurry flow rate, mill power draw, and the specific energy consumption of an industrial wet vertical stirred media mill operating at a copper plant. A physics-guided workflow was adapted, combining relief coefficient-based variable screening with fundamental stirred milling principles to define 20 different structured model input scenarios. In the scope, six regression approaches, linear regression (LR), fine tree regression (FTR), support vector regression (SVR), random forest regression (RFR), artificial neural network regression (ANN), and Gaussian process regression (GPR), were trained and validated using plant sensor data and evaluated using R² and RMSE. Overall performance was reasonable, with GPR providing the highest predictive accuracy, followed by RFR/ANN, while LR, SVR, and FTR performed lower. The potential benefit of feed size was also assessed conceptually through an upper-bound sensitivity analysis, representing a best-case scenario where an online feed size measurement would be available. Because the feed size descriptor (F₈₀) was not independently measured but derived from an energy–size relationship, the associated accuracy gains are reported as theoretical upper-bound indications rather than independent predictive capability. Overall, the findings support ML-based decision support in stirred milling operations and motivate future work using independently measured feed size (or reliable proxy sensing). Full article

The mechanical durability of gangue-based roadway shotcrete material (GRSM) in aqueous environments was systematically investigated by evaluating the effects of immersion duration, dry–wet cycles, and pH variations on its uniaxial compressive strength (UCS). The results indicate that prolonged immersion significantly degrades the mechanical performance of GRSM. After 28 days of immersion, the UCS decreased by 8.68 MPa (22%) compared with specimens under standard curing conditions. In contrast, limited dry–wet cycling (up to two cycles) enhanced the UCS to 36.05 MPa by promoting continued hydration and pore refinement, whereas additional cycling led to progressive deterioration. GRSM exhibited pronounced pH sensitivity: acidic environments induced the most severe strength loss, followed by alkaline conditions, whereas neutral to weakly alkaline environments (pH 8–12) resulted in relatively stable mechanical performance. Mercury intrusion porosimetry (MIP) confirmed that pore structure evolution governed strength variation, with acidic exposure and dry–wet cycles producing the greatest increases in porosity. Mechanically activated gangue (MA-gangue) was prepared by ball milling and partially substituted for cement. Although MA-GRSM exhibited lower UCS than conventional GRSM under all conditions, both materials demonstrated similar environmental response patterns. These findings elucidate the coupled physicochemical mechanisms governing the durability of gangue-based shotcrete materials in underground water-bearing environments. Full article

Increasing constraints related to water consumption and operational complexity have intensified interest in dry coal beneficiation as an alternative to conventional wet cleaning, particularly for low-calorific coals used in thermal power plants. In this study, the performance of a gravity-based dry beneficiation process using an air table was experimentally investigated for run-of-mine coals from the Soma Coal Basin, utilized in the Soma A Thermal Power Plant. The coal was crushed to −10 mm and classified into three size fractions, 5–10 mm, 3–5 mm, and 1–3 mm, before beneficiation. A pilot-scale air table with a capacity of 10 t/h was employed, and operating parameters including table inclination, airflow rate, and vibration frequency were optimized for each size fraction. Clean coal yields of 86.8–88.7% were achieved, while the ash content was reduced from 32 to 35% in the feed to 27.8%–29.7% in the clean coal (dry basis), remaining within the acceptable ash limits of the boiler design. The reject fractions exhibited high ash contents of approximately 71%–72%, indicating effective de-stoning and removal of high-density gangue minerals. Low and consistent E_p values (0.05–0.06) together with nearly constant cut-point densities (D₅₀ ≈ 1.82%–1.83 g/cm³) demonstrated sharp and stable density-based separation. The dust fraction remained limited (1.4%–2.1%), confirming mechanically stable operation. The removal of approximately 10% of the feed as high-density reject was found to reduce coal milling energy demand and lower the energy consumption of ash handling and disposal systems. Overall, the results show that air table-based dry beneficiation enables water-free and energy-efficient pre-concentration of low-calorific coals, offering strong potential for application in water-scarce regions. Full article