Aggregation Of Particles Research Articles

Rheological behavior and solution pH response properties of nanoparticle-regulated low surface tension systems.

Regarding the rheological properties of fluids, certain nanoparticles can markedly modify the rheological behavior of low surface tension solutions by interacting with surfactant molecules. In this work, a low surface tension fluid with cetyltrimethylammonium chloride was prepared, and the silica nanoparticles were uniformly dispersed into it by ultrasonic dispersion. By adjusting the size, shape, and concentration of nanoparticles, the fluid behavior can be changed from Newtonian to non-Newtonian with finely tuned viscosity and characterized by a shear-thinning rheological behavior. In addition, this work explored how variations in environmental temperature and solution pH affect the rheological responses of the low surface tension suspension system. The experimental findings revealed that increasing the temperature substantially decreases the system's viscosity and induces a shear-thickening behavior. It is particularly significant that, under extreme pH conditions (either strongly acidic or alkaline), the viscosity of the nanoparticle suspensions was markedly enhanced at a particle concentration of 10 000 ppm. This interesting result coincided with a notable reduction in the zeta potential and an increase in the average particle size, suggesting an intensified aggregation of particles within the suspension system. A mechanism detailing the interaction between silica nanoparticles and surfactant micelles was proposed. This work indicates that the incorporation of nanoparticles into surfactant solutions offers a powerful approach to modulating fluid rheology across various conditions.

Laboratory study into engineering characteristics of siliciclastic sedimentary sand

Diverse applications and tremendous usefulness of siliciclastic sedimentary sands make investigation into their mechanics of behaviour very essential globally. This study examines the convergence or otherwise of the specimens in compression; physical, fabric, chemical and mineralogical characteristics and their relationships with compression behaviour; shape characteristics, possible particle breakage and their overall effect on the behaviour of siliciclastic sedimentary sands obtained from two locations. The findings are as follows; (a) Siliciclastic sedimentary sands are poorly graded and coarse in nature. (b) The fabrics are characterized by aggregation of sub rounded particles and smaller particles tend to combine with fines to form coatings around bigger particles. (c) Chemical compositions are predominantly silica and alumina and heamatite are significant. (d) Quartz dominates the mineralogy and the other minerals are muscovite, albite, orthoclase and chlorite. (e) The samples have convergent behaviour and the compressibility is not significantly different but lower than the related materials. (f) The original particle is sub round in shape and the particles become sub angular after the test with no relationship between particle shape and compression behaviour. (g) The particle breakage is linked to coarser nature of the specimens and the overall effect of particle breakage on the compression behaviour of siliciclastic sedimentary sand is small.

Experimental study on coherent structures by small particles suspended in high aspect-ratio ($$\Gamma =$$ 2.5) thermocapillary liquid bridges of high Prandtl number

AbstractIn time-dependent traveling-wave convection, it has been confirmed that small particles of low Stokes number ($$\textrm{St}\ll$$ St ≪ 1) form three-dimensional closed structures known as the particle accumulation structures (PASs). We focus on coherent structures formed in high aspect-ratio thermocapillary liquid bridges ($$\Gamma =$$ Γ = 2.5), where oscillatory convection due to the so-called hydrothermal wave instability of $$m_{\textrm{HTW}}=$$ m HTW = 1 stably emerges, and carry out experimental explorations into the volume ratio dependence of the emergence of coherent structures. Variation in the volume ratio induces the presence of coherent structures with different azimuthal wave numbers, that is, different spatial structures. Among the particles added to the liquid bridge, we perform spatio-temporal tracking of particles to quantify the correlation between the behavior of particles and the spatial structures of coherent structures with different rational wave numbers.

A Scalable Synthesis of Ag Nanoporous Film As an Efficient SERS-Substrates for Sensitive Detection of Nanoplastics.

Nanoplastics pollution has led to a severe environmental crisis because of a large accumulation of these smaller nanoplastic particles in the aquatic environment and atmospheric conditions. Detection of these nanoplastics is crucial for food safety monitoring and human health. In this work, we report a simple and eco-friendly method to prepare a SERS-substrate-based nanoporous Ag nanoparticle (NP) film through vacuum thermal evaporation onto a vacuum-compatible deep eutectic solvent (DES) coated growth substrate for quantitative detection of nanoplastics in environmental samples. The nanoporous Ag NP films with controlled pores were achieved by the soft-templating role of DESs over the growth substrate, which enabled the self-assembly of deposited Ag NPs over the surface of DES. The optimized nanoporous Ag substrate provides high sensitivity in the detection of analyte molecules, crystal violet (CV), and rhodamine 6G (R6G) with a limit of detection (LOD) up to 1.5 × 10-13 M, excellent signal reproducibility, and storage stability. Moreover, we analyzed quantitative SERS detection of polyethene terephthalate (PET, size of 200 nm) and polystyrene (PS, size of 100 nm) nanoplastics with an LOD of 0.38 and 0.98 μg/mL, respectively. In addition, the SERS substrate efficiently detects PET and PS nanoplastics in real environmental samples, such as tap water, lake water, and diluted milk. The enhanced SERS sensing ability of the proposed nanoporous Ag NP film substrate holds immense potential for the sensitive detection of various nanoplastic contaminants present in environmental water.

The impact of ammonium hydroxide flow rate on iron oxide nanoparticle hydrodynamic size and colloidal stability

Precise control over the synthesis of iron oxide nanoparticles is essential to achieving optimal particle characteristics such as size, hydrodynamic size, polydispersity index, and zeta potential, all of which significantly influence colloidal stability. The commonly used co-precipitation technique often leads to high polydispersity and variable particle sizes, resulting in poor colloidal stability. This study demonstrates that varying the ammonium hydroxide flow rate during co-precipitation significantly affects particle size, hydrodynamic size, aggregation, and colloidal stability. An optimal flow rate of 4.25 mmol/min produced smaller, more uniform, and colloidally stable nanoparticles. Nanoparticle tracking analysis showed that this flow rate resulted in the smallest and most consistent hydrodynamic size of 123.3 ± 0.7 nm, while both higher and lower flow rates yielded larger and more polydisperse particles, up to 155.8 ± 20 nm. Dynamic light scattering confirmed that the 4.25 mmol/min rate produced the lowest polydispersity index of 0.21 ± 0.04, indicating the highest uniformity. Additionally, UV-Vis measurements demonstrated that nanoparticles synthesized at this optimal flow rate exhibited minimal changes in absorbance over 24 h, indicating superior colloidal stability. This study highlights the importance of optimizing the flow rate during the co-precipitation synthesis of IONPs to control particle hydrodynamic size and polydispersity, which are crucial parameters for numerous biomedical, chemical, and environmental applications.

Supramolecular Cucurbit[5]uril Modulates the Buried SnO2/Perovskite Interface for Efficient and Stable Perovskite Solar Cells

AbstractReducing non‐radiative recombination caused by defects at buried interfaces is crucial to the development of efficient and stable perovskite solar cells (PSCs). Herein, supramolecular cucurbit[5]uril (CB[5]) is introduced into the SnO2 layer, where it engages in host–guest interactions to suppress oxygen vacancies in SnO2, prevent particle aggregation, and enhance the electron mobility of SnO2. By serving as a bridging agent at the buried interface between SnO2 and the perovskite layer, CB[5] reduces the defect density and improves the carrier extraction efficiency. It also reduces the surface energy of the SnO2 substrate, facilitates the formation of large grains in the perovskite film, alleviates residual lattice stresses, and enhances the film quality. Consequently, the PSC with CB[5] shows a champion power conversion efficiency of 24.83%. Moreover, an unencapsulated device incorporating CB[5] retains more than 87% of its initial PCE under continuous illumination at the maximum power point tracking for 1000 h. This study pioneers the utilization of cucurbiturils in PSCs and provides insights into how supramolecular compounds can regulate buried interfaces.

Antimony nanoparticles encapsulated in interconnected nitrogen-doped carbon nanospheres for high performances PIBs

Antimony (Sb) has attracted significant attention as an anode material for potassium-ion batteries (PIBs) due to its high theoretical capacity and suitable working voltage. However, the severe volume variations of Sb during potassiation/depotassiation process lead to sluggish kinetics and poor cyclic stability for PIBs. In this study, Sb nanoparticles are confined within interconnected N-doped carbon nanospheres (Sb@NC) through an effective carbothermal reduction process. The potassium storage performances and mechanism are elucidated through electrochemical tests combined with ex-XRD analysis. When used as an anode for PIBs, the optimized Sb@NC-2 anode exhibits excellent cycle stability of 463.0 mAh g−1 at 200 mA g−1 over 100 cycles and superior rate capability of 113.4 mAh g−1 at a high current density of 2 A g−1. Besides, a full cell comprising an Sb@NC-2 anode and a PTCDA cathode is also tested to validate the practical feasibility of the anode. Furthermore, Density Functional Theory (DFT) calculations demonstrate that N-doped carbon can enhance the adsorption of K+ and improve the kinetics of electrochemical reactions. Therefore, the unique yolk-shell structure in this study effectively restricts volume expansion and aggregation of Sb particles while facilitating rapid electron/ion transfer. These findings provide a potential alternative anode material for advanced PIBs.

Rheology and electrorheological effects of waxy oils with different carbon number distribution

High-voltage electric treatment is an emerging technology for enhancing the cold flowability of crude oil. The primary mechanism involves the accumulation of charged particles (resins and asphaltenes) onto wax particles under the electric field. This electrorheological effect varies with different oil compositions. We have investigated the impact of resins and asphaltenes on the electrorheological behaviors of waxy oils. However, the impact of the carbon number distribution of wax on this effect remains unexplored. Therefore, the objective of this work is to investigate the interaction between waxes with various carbon numbers and charged particles and its impact on the electrorheological behaviors of waxy oils. Model waxy oils containing distinct wax fractions (paraffin and microcrystalline waxes) and varying charged particle concentrations were prepared and studied. The results unveiled that microcrystalline wax model oils exhibited substantial reductions in viscosity and yield stress after electric treatment, up to 80% and 60%, respectively, surpassing the improvements observed in paraffin wax model oils which were less than 50%. This disparity is attributed to the better capacity of resins and asphaltenes to be eutectic with paraffin wax, improving the original flowability of paraffin wax model oil, thus involving fewer charged particles in the interaction with wax under electric treatment, resulting in a weakened electrorheological effect. Resins and asphaltenes struggle to form eutectic mixtures with microcrystalline wax, resulting in minimal flowability improvement of microcrystalline wax model oils by charged particles. Consequently, under the electric field, a substantial proportion of free resins and asphaltenes can interact with microcrystalline wax particles, leading to superior electrorheological effects in microcrystalline wax model oils.

Optimizing Rheological Characterization for Extrusion-Based Additive Manufacturing of Zirconia-Based Ceramic Inks with Varied Yttria Content Stabilization

This study explores the rheological properties of zirconia-based ceramic inks, focusing on TZ-3YSB alongside newer variants such as Zpex, Zpex-4, and Zpex-smile, distinguished by their varying Y2O3 content. Through comprehensive analysis, it was found that these ceramic inks exhibit non-Newtonian behavior, which is notably influenced by the ceramic loading content and particle aggregation. Moreover, the shear-thinning nature observed in these inks proves advantageous, as it enables easier extrusion through smaller nozzles at reduced pressure levels. The implications of these findings are discussed in detail, shedding light on the complex interplay between rheological properties and ceramic ink composition, thus offering valuable insights for optimized three-dimensional printing (3DP) production processes - contributing to strengthening crowns, bridges, and implants, enhancing aesthetics, and ensuring biocompatibility for dental prostheses.

Conceptual design and properties of ultra-high residual strength geopolymer after 1000 ℃ thermal exposure

A novel geopolymer concrete is developed, incorporating waste ceramic aggregates, with ultra-high residual strength after exposure to elevated temperatures. Different aggregate volume fractions and particle size gradations are designed, and the variations in mass loss, volume shrinkage, compressive strength, mineral composition, and microstructure of geopolymer mortar after exposure to high temperatures ranging from 20 ℃ to 1000 ℃ are investigated by testing mass loss, volume change, strength, XRD and SEM. The results show that the waste ceramic aggregate (WCA) applied in the preparation of geopolymer mortars improve the mechanical properties and high-temperature resistance. By optimizing aggregate particle size gradation, the microstructure of the geopolymer mortar becomes denser and more homogeneous, and the high-temperature resistance is further improved. The residual compressive strength at 1000 °C is 115.2 MPa, 476 % higher than that of reference. These findings demonstrate the great potential of geopolymer mortars using ceramic aggregates with optimized gradation for high temperature resistant applications.

Porous high-entropy spinel oxides templated by in situ generated polypyrrole microspheres toward enhanced peroxymonosulfate activation

Entropy engineering is a flourishing topic in the field of catalyst research, but the formation of high-entropy materials is usually achieved at high temperature, which results in a trade-off relationship between entropy effect and surface area of the catalysts, thus restraining the improvements on their catalytic performance. Herein, we innovatively utilize in-situ generated polypyrrole (PPy) microspheres as the hard template, and successfully realize the preparation of porous high-entropy spinel oxides (p-HESO). The surface area of p-HESO is highly dependent on the dosage of pyrrole monomer, and the increase of surface area benefits from the restriction of PPy microspheres on the growth and aggregation of HESO particles. However, the excessive pyrrole monomer will induce phase separation. The optimal sample has a specific surface area of 65.8 m2/g and a pore volume of 0.39 cm3/g, which are 2.6 and 5.6 times of those from the conventional sol–gel method, respectively. Moreover, it is found that the utilization of PPy microspheres also promotes the generation of oxygen vacancies to some extent. The structural advantages endow p-HESO with good catalytic performance, and it can achieve the complete removal of Bisphenol A (20 ppm) within 20 min through peroxymonosulfate activation, and the corresponding reaction rate constant is about 2.25 times of conventional HESO. The potential application of p-HESO is systematically evaluated, and the influence factors include catalyst dosage, oxidant dosage, various anions, pH levels, and real water bodies. This study provides a new perspective to design porous high-entropy materials with good catalytic performance.

Strategies to mitigate electrostatic charging during coffee grinding

Coffee grinding generates electrostatically charged particles, causing clumping, spark discharge, and beyond. When brewing, the particle aggregates affect liquid-solid accessibility, leading to variable extraction quality. Here, we study four charge mitigation strategies. De-electrification is readily achieved by adding small amounts of water to whole beans or by bombarding the grounds with ions produced from a high-voltage ionizer. While these techniques helped reduce visible mess, only water inclusion was found to impact coffee extracts prepared as espresso. There, wetting whole beans with less than 0.05 mL / g resulted in a marked shift in particle size distribution, by preventing clump formation and preventing fine particles from sticking to the grinder. This particle size shift results in at least 15% higher coffee concentration for espresso extracts prepared from darker roasts. These findings encourage the widespread implementation of water use to de-electrify coffee during grinding with the benefit of increased coffee extraction efficiency.

Evolution of collisional condensation of biodiesel combustion particulate matter in engine exhaust pipe

To investigate the evolution of biodiesel combustion particulate matter (PM) within the engine exhaust system, PM samples were analyzed from diesel fuel, soybean oil methyl ester (SME), catering waste oil methyl ester (WME) and palm oil methyl ester (PME) at various locations along the engine exhaust pipe, and a gas-solid two-phase flow model of exhaust gas and PM was developed using the coupled computational fluid dynamics-discrete element method (CFD-DEM). The results indicate that the average primary particle diameter of biodiesel PM is smaller than that of diesel PM at the same position within the exhaust pipe, and it exhibits an increasing trend with respect to the iodine value of biodiesel. The adhesion forces of diesel, SME, WME, and PME PM at 0m downstream from the exhaust pipe were measured as 9.83 nN, 16.74 nN, 26.54 nN, and 34.31 nN, respectively. The biodiesel PM with higher mass density readily formed structurally stable particulate agglomerates at the inlet of the exhaust pipe. With an increase in exhaust flow velocity, there was a corresponding rise in particle collision frequency. The initial agglomeration probability of particles exhibited an increase followed by a subsequent decrease. The normal overlap of particle collisions decreased with an increase in the Young’s modulus of the particles, thereby reducing the likelihood of adsorption and adhesion during particle collision and hindering the formation of a greater number of particle aggregates.

Transforming Sunlight through Ultrasonically Engineered ZnO and g-C₃N₄ Z-Scheme Heterostructure for Superior Photocatalysis: Experimental and Theoretical Study

In this study, we enhanced ZnO photocatalytic activity by synthesizing nanostructures with high aspect ratio of exposed polar facets. Post-synthesis ultrasonication induced morphological reconfiguration, improving optoelectronic properties, charge carrier separation, photocurrent, and shifted the valence band edge potential to higher positive values, providing a heightened overpotential for hydroxyl radical formation. The resulting overpotential for hydroxyl radical formation significantly boosted phenol degradation under UV light. To extend photoresponse, we employed ultrasonication to create a direct Z-scheme heterostructure with gCN, preventing particle aggregation. The S-ZnO/gCN photocatalyst, exhibiting a highly ordered structure, demonstrated superior photocatalytic activity under solar light for phenol degradation. Experimental results showed that increased dissolved oxygen accelerated hydroquinone and catechol formation, enhancing phenol degradation. Experimental results were supported by theoretical calculations. This innovative approach not only improves ZnO photocatalytic activity but also broadens its application to solar light-driven reactions.

Key parameters and effects in image processing and aggregate–aggregate contact calculation of asphalt mixtures

At present, there is no standard way of acquiring images, addressing errors in various image processing steps, and analyzing skeleton contact parameters. To promote the application of image processing technique in the design, construction monitoring, and quality inspection of asphalt mixtures, this study investigates the key factors affecting the two-dimensional image processing accuracy of asphalt mixtures, and the impact of parameters on the contact structure of asphalt mixture skeleton during the contact analysis is studied. Finally, data accuracy requirements for image processing and contact analysis are proposed. The results indicate that the camera lens should be parallel to the slice with a tilt angle of less than 15°, the error of the passing rate of each sieve remains within 5.0 %. The smaller the aggregate particle size, the greater the impact of aggregate edge recognition error on the aggregate particle size, aggregates with a particle size greater than 2.36 mm are less affected by edge recognition error. For aggregate–aggregate contact analysis, it is appropriate to set the contact threshold to 0.23 times the minimum calculated particle size. To ensure the accuracy of image processing and contact analysis, at least 10 cross-sectional images should be prepared, and the average value can be taken as the representative value of the indices. The conclusions can improve the accuracy and reliability of image processing, providing more accurate guidance for the design and construction of asphalt mixture.

Influence of mortar thickness on the dynamic segregation of high-fluidity concrete

The properties of concrete are related to the mesostructure decided by the constituents. This study aims to establish a quantitative relationship between the dynamic stability of fresh concrete and the mesoscopic parameters. A novel method named the declined table test is used to evaluate the dynamic segregation tendency of fresh concrete continuously. With the VSI method provided by ASTM C1611 in contrast, it is demonstrated that using the ratio of the flow angle of mortar to the flow angle of concrete (Am/Ac) obtained from the declined table test is credible as the dynamic segregation index. The concrete with an Am/Ac ratio lower than 1.5 is regarded to be in a stable state. According to the mortar filming ability test, the mortar in concrete can be divided into stable mortar and free mortar. Stable mortar saturation degree is proposed to reveal the mechanism of dynamic stability from the mesoscopic view, which is defined as the specific value of the volume fraction of stable mortar and total mortar (SDv) or the specific value of stable mortar thickness and mortar thickness between coarse aggregate particles (SDt). In contrast, SDt has a better correlation to the Am/Ac ratio and the SDt value should be higher than 1.14 to guarantee enough stability of fresh concrete.

Hydrodynamics and Aggregation of Nanoparticles with Protein Corona: Effects of Protein Concentration and Ionic Strength.

Multiple 10nm-sized anionic nanoparticles complexed with plasma proteins (human serum albumin (SA) or immunoglobulin gamma-1 (IgG)) at different ratios are simulated using all-atom and coarse-grained models. Coarse-grained simulations show much larger hydrodynamic radii of individual particles at a low protein concentration (a protein-to-particle ratio of 1) than at high protein concentrations or without proteins, indicating particle aggregation only at such a low protein concentration, in agreement with experiments. This particle aggregation is attributed to both electrostatic and hydrophobic particle-protein interactions, to an extent dependent on different proteins. In all-atom simulations, IgG proteins induce particle aggregation with and without salt, while SA proteins promote particle aggregation only in the presence of salt that can weaken the electrostatic repulsion between anionic particles closely linked via SA that is smaller than IgG, which also agree well with experiments. Besides charge interactions, hydrophobic interactions between particles and proteins are also important especially at the high salt concentration, leading to the increased particle-protein contact area. These findings help explain experimental observations regarding that the effects of protein concentration and ionic strength on particle aggregation depend on different plasma proteins, which are interpreted by binding free energies, electrostatic, and hydrophobic interactions between particles and proteins.

Water retention property and microscopic mechanism of shallow soil in inner dump improved by fly ash and polyacrylamide.

Improving the water retention property of shallow soil in the inner dump is the key step in the sustainable development of mines. In recent years, the use of fly ash to improve the structure of the inner dump and polyacrylamide as an additive to enhance water retention was an effective method. The article used a physical model test, filter paper method, and microstructure analysis method to compare and analyze the water retention property and microstructure of slope-improved soil with different fly ash and polyacrylamide content. The results show that the combined use of fly ash and polyacrylamide improved the water retention property of the amended soil. Fly ash and polyacrylamide had a greater effect on the low suction stage of the amended soil. Polyacrylamide reacted with water and bound soil particles to form aggregates, and the structural unit bodies were a block structure. Fly ash was non-sticky and was a matrix of fine particles, which weakened the bonding effect of polyacrylamide, and reduced the aggregates of soil particles, and the structural unit bodies were a flocculated structure of aggregates mixed with matrix. This, in turn, enhanced the capillary action and improved the water retention performance of the improved soil. In addition, polyacrylamide could connect water molecules, further enhancing the water retention property of the improved soil. The combined use of fly ash and polyacrylamide improved the available water content of improved soil, providing a viable and sustainable solution for improving the comprehensive utilization of fly ash, and laid the foundation for land reclamation at the inner dump.

Fe oxides simultaneously improve stability of Cd and carbon in paddy soil：The underlying influence at aggregate level

Iron (Fe) oxides have a strong adsorption affinity for Cd and organic carbon (SOC). However, under alternate wet-dry (IF) condition,the influences of Fe oxides on the speciation and disrtribution of Cd and SOC in soil aggregates are unkown. In the present study, soils untreated (S), removed (S-Fe) or added (S+Fe) Fe oxide soils were blended with cadmium chloride solution and cultivated for 56 days under different moisture management practices. Compared with the S-Fe soil, the IF treatment increased the contents of Fe oxide-bound SOC (Fe-OC) and Fe/Mn oxide-bound Cd (Fe/Mn-Cd) by 18.5–29.8-fold and 1.45–2.45-fold, repectively, in the S and S+Fe soils, corresponding to a 36 %−42 % increase in the recalcitrant C pool (RCP) and a 53 %−87 % decrease in the exchangeable Cd content. These results could be attributed to soil particle aggregation and Fe redistribution. Fe addition promoted the transfer of Cd/SOC accumulated in microaggregates to macroaggregates and increased the variable negative charge content in macroaggregates and the adsorption capacity of macroaggregates for Cd/SOC. More Cd/SOC accumulated in macroaggregates in Fe oxide-bound form, which reduced the risk of Cd migration and Cd availability and increased the physical protection of SOC. Therefore, Fe oxide has great potential to simultaneously reduce carbon emissions and cadmium toxicity in paddy soil.

A supervised graph-based deep learning algorithm to detect and quantify clustered particles.

Considerable efforts are currently being devoted to characterizing the topography of membrane-embedded proteins using combinations of biophysical and numerical analytical approaches. In this work, we present an end-to-end (i.e., human intervention-independent) algorithm consisting of two concatenated binary Graph Neural Network (GNNs) classifiers with the aim of detecting and quantifying dynamic clustering of particles. As the algorithm only needs simulated data to train the GNNs, it is parameter-independent. The GNN-based algorithm is first tested on datasets based on simulated, albeit biologically realistic data, and validated on actual fluorescence microscopy experimental data. Application of the new GNN method is shown to be faster than other currently used approaches for high-dimensional SMLM datasets, with the additional advantage that it can be implemented on standard desktop computers. Furthermore, GNN models obtained via training procedures are reusable. To the best of our knowledge, this is the first application of GNN-based approaches to the analysis of particle aggregation, with potential applications to the study of nanoscopic particles like the nanoclusters of membrane-associated proteins in live cells.