Influence Of Particle Size Research Articles

Effects of Ru particle size over TiO2 on the catalytic performance of CO2 hydrogenation

The influence of metal particle size over heterogeneous catalysts on the catalytic performance has always been an interesting subject due to its significance from both fundamental and practical perspectives. In this work, we regulated the synthesis of TiO2 by the hydrolysis of different titanium precursors, and as-prepared TiO2 supports were employed to load Ru with impregnation method. Interestingly, we synthesized three Ru-TiO2 catalysts with different Ru particle sizes of 1.1, 2.9 and 5.2 nm. The Ru-TiO2 catalysts were next tested for CO2 hydrogenation reaction, the results show that the medium Ru particles on TiO2 exhibited the best CO2 methanation activity. Based on the characterizations, we observed that the medium Ru particles exhibited the best redox properties compared with small and large Ru particles, which was beneficial to the H2 dissociation; in addition, the medium Ru particles exhibited a moderate ability to activate CO2, resulting in the most favorable formation and decomposition of bidentate bicarbonate. Consequently, the Ru-TiO2 catalyst with medium Ru particles showed the highest activity for CO2 methanation. This study provides a new method to prepare Ru-TiO2 catalysts with different Ru sizes and also presents an understanding of Ru particle size effects on CO2 hydrogenation.

Pomelo (Citrus grandis L.) peels as effective sorbents for diverse gel matrices: The influence of particle size and powder concentration

This study demonstrated a robust methodology to upcycle plant waste into diverse gels as promising fat replacers. Pomelo peel (Citrus grandis L.; PP) was valorised to create gel-like sorbents resembling hydrogels and oleogels. PP were dried and ground into 125, 250, and 500 μm particles. The PP powder (10–40% w/w) was mixed with oil or distilled water for 2 min without heating. Self-sustaining gels were formed from 125 to 250 μm particles. Analyses revealed that the driving forces behind the gelling rely on the substantial fibre component within PP powder and the interactions between powder particles and solvent droplets. Larger particles exhibited higher antioxidant properties and formed gels through particle interaction, resulting in hard yet brittle sorbents with minimal oil/water loss. In contrast, smaller particles formed uniform gels due to solvent interaction but with higher water/oil loss. Increasing the powder concentration led to stiffer gels due to the filling effect.

Influence of distribution and size of graphite particle on the machinability of nodular cast iron

Nodular cast iron (NCI), also known as particulate metal matrix composites (PMMCs), is extensively utilized in the manufacturing of pistons for high-power engines. However, poor machinability is a significant problem due to the inherent microstructural inhomogeneity of the NCI. Therefore, this study aims to investigate influence of graphite particle distribution and size on the machinability of NCI. Microstructure of NCI is experimentally examined and quantitatively analyzed, and NCI is treated as a three-phase composite (i.e., matrix-interface-graphite particles). Graphite particles are considered as a plastic material, and debonding of interfaces is taken into account. Based on average particle size and volume fraction of graphite nodules, four microstructural models with different particle sizes and distributions are discussed, and turning experiments are conducted to validate simulation results. The findings reveal that graphite particles of different sizes and distributions affect stress–strain distribution in the cutting region of the material. As the distance between the graphite particles and the cutting tool increases, their influence on the stress–strain distribution becomes less significant. Furthermore, random distribution of graphite particles is more likely to result in complex crack initiation and expansion, leading to more pronounced serrated chips. The distribution of graphite particles has a more significant impact on the stability of cutting forces compared to the particle size. Both experiments and simulation results show that cavities and burrs are appeared along the cutting path because of graphite nodules, which reduces the surface quality and affects the subsequent use of the parts. On the one hand, the present work provides guidance for the finite element modelling of NCI, which is helpful to improve the precision of cutting simulation. On the other hand, by integrating advanced manufacturing technology to regulate the microstructure and cutting parameter of NCI, the present study can provide data basis and numerical analysis support for improving the machinability of NCI.

Uptake of Cyclodextrin Nanoparticles by Macrophages is Dependent on Particle Size and Receptor-Mediated Interactions.

Physiochemical properties of nanoparticles, such as their size and chemical composition, dictate their interaction with professional phagocytes of the innate immune system. Macrophages, in particular, are key regulators of the immune microenvironment that heavily influence particle biodistribution as a result of their uptake. This attribute enables macrophage-targeted delivery, including for phenotypic modulation. Saccharide-based materials, including polyglucose polymers and nanoparticles, are efficient vehicles for macrophage-targeted delivery. Here, we investigate the influence of particle size on cyclodextrin nanoparticle (CDNP) uptake by macrophages and further examine the receptor-mediated interactions that drive macrophage-targeted delivery. We designed and synthesized CDNPs ranging in size from 25 nm to >100 nm in diameter. Increasing particle size was correlated with greater uptake by macrophages in vitro. Both scavenger receptor A1 and mannose receptor were critical mediators of macrophage-targeted delivery, inhibition of which reduced the extent of uptake. Finally, we investigated the cellular bioavailability of drug-loaded CDNPs using a model anti-inflammatory drug, celastrol, which demonstrated that drug bioactivity is improved by CDNP loading relative to free drug alone. This study thus elucidates the interactions between the polyglucose nanoparticles and macrophages, thereby facilitating their application in macrophage-targeted drug delivery that has applications in the context of tissue injury and repair.

Fatty acid profiles of olive oil and moringa oil and their influence on nanoemulsion formation via D-phase emulsification using bakuchiol as a model active compound

Moringa oil (MO) and olive oil (OV) share similar chemical compositions, often considered interchangeable in various applications. However, their behavior in nanoemulsion formation, a widely-used process in the cosmetic industry, remains relatively unexplored. This study aimed to investigate their fatty acid compositions and how they respond to nanoemulsion formation using the D-phase emulsification method. MO comprises approximately 79% oleic acid, 7% palmitic acid, 6% stearic acid, and other minor components. In contrast, OV contains roughly 70% oleic acid, 14% palmitic acid, 10% linoleic acid, and other constituents. In the context of nanoemulsion formation, both oils exhibited similar trends in particle size, polydispersity index (PDI), and zeta potential when varying the formulation compositions. The type of oil significantly influenced particle size at low surfactant concentrations and PDI at higher oil concentrations, consistently affecting zeta potential. The optimal formulation, O1T15G5, yielded droplet sizes of approximately 222 nm (MO) and 50 nm (OV). Both MO and OV nanoemulsions responded similarly to the substitution of oil with bakuchiol (BK), with O0.7B0.3T15G5 achieving the smallest spherical particle size confirmed by TEM and DLS analysis. Encapsulation efficiency and antioxidant activity remained largely unaffected by types of oil. Stability tests at different temperatures showed some distinctions in physical stability but similarities in antioxidant activity stability. The types of oil did not significantly impact BK release or cytotoxicity levels. This research underscores the potential utility of MO as a viable alternative to OV in cosmetic applications, shedding light on their similarities and performance within nanoemulsion formulations.

Exergy analysis of packed and fluidized bed thermal energy storage systems

This work presents a detailed exergy analysis that compares two different thermal energy storage (TES) systems that use particles as energy storage media and air as the heat transfer fluid: packed and fluidized beds. The study permits the optimization of both TES systems in terms of exergy storage capacity and quantifies the irreversibilities that appear in both cases. In addition, the influence of air flow rate and particle size has been quantified.The results indicate that when focusing solely on the storage process, there is an optimal charging time that minimizes the exergy destruction in both cases: topt∼mscp,s/ṁacp,a. Although the exergy destruction of the fluidized bed during the beginning of the charging process is higher than that in the packed bed, at the end of the process, the total exergy destruction in both beds is similar. However, in the full storage–recovery process the total exergy destruction is doubled in the fluidized case, with an entropy generation number of approximately 0.6 in comparison with a value of 0.3 for the packed bed. Besides, a sensitivity analysis varying the particle size and the air flow rate indicates that the particle size has a much higher influence on the fluidized bed case due to the change in the minimum fluidization velocity and its influence on the heat transfer rate. Finally, a case study is presented using the storage bed for building heating, and an exergy analysis concludes that the fluidized bed generates 534W/K of entropy, more than three times the entropy generated in the packed bed (161W/K), due to the higher pressure drop needed to fluidize the particles.

Effect of Al–Fe–Mn–Si particle characteristics on the growth morphology and corrosion resistance of anodic oxide film on AA 3003 aluminium alloy

This study examines the impact of Al–Fe–Mn–Si particle characteristics in AA3003 alloy on the morphology and resistance of anodic oxide films against corrosion. The results show that low-silicon-content Al–Fe–Mn–Si particles oxidise simultaneously with the matrix to form a discontinuous porous oxide film, and complex small pores are formed in the porous layer; although high-silicon-content Al–Fe–Mn–Si particles have the same oxidation rate as the alloy matrix, the growth of the oxide film is hindered by unoxidised particles in the porous layer due to the influence of particle size and chemical composition, resulting in uneven growth of the oxide film and ultimately causing defects such as enlarged pores and cracks. A mechanism model for Al–Fe–Mn–Si particles affecting the morphology of oxide film growth was established. Electrochemical test results show that compared with the oxide film of the high-silicon-content alloy, the oxide film of the low-silicon-content alloy has better corrosion resistance performance, with a corrosion potential of −0.512V (compared with −0.836V for the high-silicon alloy) and a corrosion current density of 3.34 × 10−8A/cm2 (compared with 9.614 × 10−7 A/cm2 for high-silicon alloy). The barrier layer attained an elevated impedance value and exhibited self-repairing capabilities.

The multi-scale pore structure of superfine pulverized coal. Part 2. Mesopore and closed pore morphology

Superfine pulverized coal exhibits extraordinary properties in thermal conversion processes like pyrolysis and combustion. The exploration of closed pores is of great significance for studying of the macromolecular structure, and developing advanced clean combustion technologies. In this work, the influences of coal rank and particle size on the mesopore characteristics (i.e., pore size, volume, and specific surface area), especially closed pores, were obtained by combining nitrogen adsorption and synchrotron-based small-angle X-ray radiation (SAXS). In addition, combined with the closed pore volume measured by He density and SAXS, research focuses on the formation and opening mechanisms of closed pores in different rank coals at a molecular level. The results indicate that both the bituminous (NMG) and anthracite coal (HN) have a few large open pores (>100 nm), with large amount of small mesopores and micropores (<2 nm). The HN coal has more open mesopores which have a smaller pore size than NMG coal. The closed pore proportion of HN coal in the studied pore size range is between 2 and 52 %, while that of NMG coal is between 47 and 67 %. In addition, both coals have a certain amount of closed pores formed by shear force and ash blockage, while the matrix compression also contribute to certain types of closed pores in NMG. These findings contribute to illustrating the closed pore structure in coal at the molecular level, which sheds light on constructing comprehensive macromolecular pore models of coal and thus promoting the development of clean coal utilization technologies.

Glass waste analysis and differentiation by laser-induced breakdown spectroscopy associated to support vector machine: The influence of color and particle size

Glasses are widely known for their unique properties, but improper disposal poses several environmental challenges. Laser-Induced Breakdown Spectroscopy (LIBS) has emerged as a promising tool for glass characterization. This study explored the performance of LIBS, associated with machine learning methods and spectral angle mapper, to overcome the matrix effect in glass waste analysis. Using 10-fold cross-validation, an accuracy of 99.04% was achieved in color differentiation, 98.82% in the differentiation of flint glasses from the other glasses, 96.75% in differentiating particle sizes. When particle size and color were analyzed simultaneously, the accuracy remained high at 97.64%. The analytical accuracy was further improved using the spectral angle mapper method, which allowed us to achieve lower standard deviations, particularly for samples of larger particle sizes. These findings highlight the potential of LIBS combined with machine learning to perform a robust analysis of glass waste, contributing to recycling management.

Accelerated carbonation and stabilization of BOF slag: data fitting relationship between particle size and CO2 sequestration

Carbonation of BOF slag offers a promising solution to reduce f-CaO content and simultaneously capture CO2. This study investigated the influence of particle size on f-CaO consumption and CO2 sequestration of BOF slag while exploring the kinetics of the carbonation process. Under optimum conditions, the finest particle size achieved f-CaO consumption and CO2 sequestration values reaching 99.72% and 5.57%, respectively; whereas the largest particle size exhibited values of 97.89% and 3.4%, respectively. The shrinking core model accurately described the carbonation process with internal diffusion identified as the rate-limiting step for the whole process. The transition point between two rate-limiting steps was determined along with an established equation between particle size, CO2 sequestration and time. The XRD patterns and SEM images illustrated morphological changes in slag before and after carbonation. These findings can provide crucial insights for optimizing the carbonation process and facilitating its utilization as cementitious materials.

A comprehensive assessment of microscopic characterization techniques to accurately determine the particle size distribution of roller-milled yellow pea flours

The particle size of milled ingredients influences the quality and texture of manufactured foods. However, the limited understanding of how milling influences particle size distribution (PSD) of pulse flours, has hindered the incorporation of pulses in food formulations. This first-ot-its-kind study delves into PSD examination of roller-milled yellow pea flour streams and blends, employing laser diffraction (LD), scanning electron microscopy (SEM), and synchrotron-based X-ray microcomputed tomography (SR-μCT). LD analysis revealed a multimodal distribution pattern across particle sizes ranging from 3 to 1300 μm. SEM confirmed particle size variations among flour streams and blends. Synchrotron X-rays, known for their high intensity, brightness, and tunable energy, provided seminal insights into complex flour structures. Employing SR-μCT, the 3D volumetric particle size distribution yielded more accurate particle size and shape computations than established techniques. This pulse flour characterization will enable food manufacturers to utilize nutrient-dense pulse ingredients to address the growing market demand for health-conscious products.

Application of microwave radiation for decrepitation of spodumene from the Kolmozerskoe deposit

The lithium-ion industry is experiencing a rapidly growing demand for compounds containing lithium. Spodumene is one of the primary industrial minerals used in the production of this metal. It exists in three polymorphic forms. In its natural state, it is known as α-spodumene, which possesses a high resistance to chemical attack due to its compact structure containing silicon and aluminum oxides. When subjected to microwave radiation, α-spodumene undergoes a transformation, first becoming the γ form and then transitioning to the β form. It is known that the β form can be chemically treated to extract lithium. In light of this, microwave exposure was applied to α-spodumene with the aim of decrepitation, followed by sulfuric acid decomposition of the mineral. The mineral was crushed into different sizes (1.0, 0.5, and 0.25 mm). Temperature changes, induced by both conventional and microwave heating, were analyzed. The heating process was continued for samples of various sizes until a temperature of 1200 °C was reached. Sulfation of calcined samples was carried out for 60 minutes at a temperature of 250 °C. After cooling to 22 °C, distilled water was added and mixed for 120 minutes in closed leaching vessels. To determine the recovery of valuable and associated components, leach cakes and the liquid phase were analyzed using inductively coupled plasma atomic emission spectrometry. Based on the analysis of experimental results, the feasibility of using microwave radiation for decrepitation of spodumene to extract lithium is confirmed. The influence of particle size on phase transformations and, consequently, the degree of lithium extraction from spodumene was investigated. It was found that the recovery of lithium during the microwave action and leaching process for particles smaller than 0.25 mm reached 96.82 %. Microwave heating resulted in lower recovery rates of “harmful” components, such as iron, sodium, and calcium, in the leaching process, leading to a higher purity of the resulting product.

Computational analysis of radon progeny deposition patterns in the human respiratory system

In the last year, the use of computational fluid dynamics (CFD) techniques has gained prominence as a powerful tool for modeling biological phenomena and influencing the design of biomedical devices. In this study, we utilized a computational fluid dynamics (CFD) model to simulate airflow and the deposition of aerosol particles within the human respiratory tract. To achieve this, we meticulously constructed a 3D model of the human tracheobronchial airways using SolidWorks software. Our computational analyses encompassed a range of breathing conditions, ranging from 15 to 60 (L/min). Through the application of discrete phase modeling (DPM), we investigate the behavior of two-phase flow dynamics. Our focus lies in the examination of aerosol particles, with diameters ranging from 1 to 10 (μm), in order to evaluate the influence of aerosol particle size on deposition rates. Our findings encompass velocity contour maps, deposition rates of aerosol particles, and insights into the process of aerosol particle entrapment at various locations within the respiratory tract. Our study reveals a direct correlation between higher inhalation rates and larger aerosol particle sizes, resulting in increased deposition rates. Additionally, we observe a heightened deposition of aerosol-particles at bronchi region. These computational results hold significant value in estimating the distribution of doses resulting from radon progeny exposure in distinct anatomical regions of the respiratory tract.

Effects of Particle of BA, CMA and FA on Water Absorption of Concrete

The porosity of concrete is the root cause of durability problems in concrete. Water absorption rate and water absorption speed can be used to detect the pore structure distribution of concrete. Based on the principle of permeability coefficient method, the water absorption method was improved in this study. This paper conducted an experimental study on how BA (biomass ash), CMA (cattle manure ash), and FA (fly ash) with different particle sizes affect the water absorption speed and coefficient of concrete. The results showed that among BA, FA, and CMA, the water absorption speed and coefficient of FA are the smallest among all admixtures in concrete, and the water absorption speed and coefficient of BA are the smaller. The water absorption coefficient is greater than that of FA, and the water absorption speed and coefficient of CMA are greater than those of BA. With the same dosage (15% in this test), the smaller the water cement ratio, the smaller the water absorption rate of CMA concrete; The water absorption rate of CMA concrete decreases with the increase of age. When the dosage is the same, the influence of particle size on the water absorption coefficient of concrete is the same as the influence of particle size on the water absorption speed of concrete. Factors affecting the water absorption coefficient of CMA materials include particle size distribution, shape, specific surface area, and so on. The results provide a reference for studying the durability of CMA concrete.

Advanced vibrational spectroscopy of magnetite nanoparticles

In this work, we discuss the challenges associated with measuring and interpreting the vibrational properties of nanomaterials at mid- and far-infrared frequencies, where vibrational bands are often broad and overlapping. This issue is compounded by the complex interaction between infrared light and particulate samples, which depends on packing density and particle connectivity. Preliminary results concerning the far-infrared optical properties of Fe3O4 nanoparticles have been obtained using the two most reliable methods (specular reflectance and attenuated total reflectance). These results are compared to one another and to their Raman counterparts. Finally, the influences of particle size and composition on the vibrational spectra are qualitatively discussed.

Size control of ropivacaine nano/micro-particles by soft-coating with peptide nanosheets for long-acting analgesia.

Rationale: To meet the need of long-acting analgesia in postoperative pain management, slow-releasing formulations of local anesthetics (LAs) have been extensively investigated. However, challenges still remain in obtaining such formulations in a facile and cost-effective way, and a mechanism for controlling the release rate to achieve an optimal duration is still missing. Methods: In this study, nanosheets formed by a self-assembling peptide were used to encapsulate ropivacaine in a soft-coating manner. By adjusting the ratio between the peptide and ropivacaine, ropivacaine particles with different size were prepared. Releasing profile of particles with different size were studied in vitro and in vivo. The influence of particle size and ropivacaine concentration on effective duration and toxicity were evaluated in rat models. Results: Our results showed that drug release rate became slower as the particle size increased, with particles of medium size (2.96 ± 0.04 μm) exhibiting a moderate release rate and generating an optimal anesthetic duration. Based on this size, formulations at different ropivacaine concentrations generated anesthetic effect with different durations in rat sciatic nerve block model, with the 6% formulation generated anesthetic duration of over 35 h. Long-acting analgesia up to 48 h of this formulation was also confirmed in a rat total knee arthroplasty model. Conclusion: This study provided a facile strategy to prepare LA particles of different size and revealed the relationship between particle size, release rate and anesthetic duration, which provided both technical and theoretical supports for developing long-acting LA formulations with promising clinical application.

Influence of particle size and sintering aid on sinterability and conductivity of BaZr0.1Ce0.7Y0.2O3-δ electrolyte

Two BaZr0.1Ce0.7Y0.2O3-δ (BZCY) powders prepared by solid-state reaction (BZCY(sr)) and sol-gel (BZCY(sg)) methods and three NiO powders (two commercial NiO with large (NiO(L)) and small (NiO(S)) particles and one prepared by solution-infiltration method (NiO(I)) are used to study the effect of the particle sizes of BZCY powder and NiO sintering aid on the sinterability and conductivity of sintered BZCY electrolytes for protonic ceramic fuel cells (PCFCs). The BZCY and NiO powders are examined by X-ray diffraction and scanning electron microscopy (SEM). The microstructures of the six BZCY-NiO mixtures sintered at 1500 °C in air for 6 h, named as sr-L, sr-S, sr-I, sg-L, sg-S, and sg-I, are characterized by SEM to compare their pore morphology and grain size, and their conductivities from 550 to 800 °C in a 5 vol% H2–N2 atmosphere are measured using the four-probe and impedance spectroscopy methods, respectively. The results show that sr-L and sg-L are not fully dense with large pores, most of them are at the grain boundaries; sr-S and sg-S have a much denser microstructure; sr-I and sg-I have the highest density with fine pores. The average grain size, the conductivity, and the grain-boundary resistance follow the orders of sr-L (8.16 μm) ≈ sg-L (8.53 μm) < sr-S (10.59 μm) ≈ sg-I (10.65 μm) < sg-S (14.07 μm) < sg-I (26.08 μm), sr-L < sg-L < sr-S < sg-S ≈ sr-I < sg-I, and sr-L > sg-L > sr-S > sg-S ≈ sr-I > sg-I, respectively. The above results indicate that both the density and grain size affect the conductivity critically, and sg-I with the small-particle BZCY and fine and uniformly distributed NiO sintering aid has the highest sintered density and the biggest grains (fewest grain boundaries) and in turn the highest conductivity (0.039 S cm−1 at 800 °C). A cell with the sg-I electrolyte demonstrates electrochemical performance 1.8 times higher than that with the sr-L electrolyte.

Influence of particle size and origin of field peas on apparent ileal digestibility of starch and amino acids and standardized ileal digestibility of amino acids when fed to growing pigs.

The objective was to test the hypothesis that particle size and origin of field peas influence the apparent ileal digestibility (AID) of starch, crude protein (CP), and amino acids (AA) and the standardized ileal digestibility (SID) of AA. Three sources of field peas were procured. One source was from the United States and two sources were from Canada. The U.S. source and one of the sources from Canada (i.e., Canada 1) were each divided into two batches and ground to achieve a target particle size of 250 or 450µm, whereas the other source from Canada (i.e., Canada 2) was only ground to a target particle size of 250µm. Each batch of field peas was included in one diet as the only source of AA. An N-free diet was used to determine the basal endogenous losses of CP and AA. Six barrows (initial weight: 50.5kg; SD = 3.7) that had a T-cannula installed in the distal ileum were randomly allotted to a 6 × 6 Latin square design with six diets and six 7-d periods. Ileal digesta from pigs were collected for 2d after 5d of adaptation. Data were analyzed using a statistical model that included batch of field peas as the fixed effect and animal and period as the random effects. Contrast statements were used to analyze the effects of particle size, origin, and the interaction between particle size and origin. Results indicated that the AID of starch was increased by reducing the particle size in the U.S. source of field peas, but that was not the case for the Canada 1 source (interaction; P < 0.001). Particle size did not influence the AID of CP or AA, but the Canada 2 source of field peas had greater (P < 0.05) AID of Trp, Ala, Cys, Gly, and Tyr than the field peas from the United States. The SID of CP and AA was also not affected by the particle size of field peas. The SID of CP and Trp was greater (P < 0.05), and the SID of His, Ile, and Thr tended (P < 0.10) to be greater in the Canada 2 source compared with the U.S. source, but no differences between the two Canada sources were observed. In conclusion, a few differences in SID of AA between field peas produced in the United States and peas produced in Canada were observed, but there was no effect on SID of AA of reducing the particle size of field peas from 450 to 250µm, whereas the AID of starch increased by reducing the particle size only in the field peas from the United States.

The Influence of ATH Particle Size on HTV Silicone Rubber Used for Outdoor Insulation

The Influence of ATH Particle Size on HTV Silicone Rubber Used for Outdoor Insulation

Enhancing the Performance and Sustainability of Cementitious Composites through the Optimized Use of Steel Slag: Particle Size and Activation Techniques

The utilization of industrial by-products such as steel slag in cementitious materials not only mitigates environmental impact but also enhances material properties. This study investigates the dual influence of steel slag particle size on the compressive strength and carbonation efficiency of cementitious composites. Through a systematic experimental approach, steel slag particles were incorporated into cement at varying sizes, and the resulting composites were subjected to mechanical and carbonation tests. Scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDX) are conducted in this paper. The findings reveal a positive correlation between increased particle size and compressive strength, attributed to the improved interfacial transition zone and packing density. Conversely, smaller particle sizes exhibited enhanced carbonation efficiency, likely due to the increased surface area facilitating the carbonation reaction. The presence of higher silica and calcium content in finer particles was confirmed by EDX, which contributed to the accelerated carbonation process. This study underscores the importance of particle size optimization in designing sustainable cementitious materials with balanced mechanical performance and carbon sequestration potential. The insights gained from the advanced analytical techniques offer a comprehensive understanding of the mechanisms at play, paving the way for the strategic use of steel slag in eco-friendly construction practices.