Distinct Particle Research Articles

Effects of intrinsic properties, particle size, bulk density, and specific gravity on thermal properties of coal dusts.

Thermal properties of pulverized coal govern theheat transfer and greatly influence the coal dust explosion and spontaneous combustion processes. This study measures the thermal properties of five coal samples at six distinct particle sizes using an advanced thermal property analyzer. The thermo-physical properties of coal dust positively correlated with theparticle size. Thermal conductivity, diffusivity, and specific heat capacity increased with the ash percentage, bulk density, and specific gravity of coal dust. In contrast, they negatively correlated with the fixed carbon and volatile content of coal. Empirical relations between the thermo-physical properties were developed. The thermal conductivity, diffusivity, and specific heat capacity of coal dusts varied in the range of 0.091-0.147W/mK, 0.125-0.164mm2/s, and 0.715-0.945MJ/m3K, respectively. With increase in particle size from < 38 to 500-1000µm, thermal conductivity, thermal diffusivity, and specific heat capacity increased in the range of 25.60-32.89%, 9.76-22.11%, and 9.57-20.80%, respectively, for different coal samples.

Effect of molecular weight on polymer solution facilitated transfer of non-Brownian particles

Solution driven particle transfer on solid substrates has many industrial applications but can be difficult to control and characterize. In this study, poly(methyl methacrylate) (PMMA) is considered as the binder polymer, and the effect of the molecular weight (MW) on particle transfer through entrainment is investigated. The transfer phenomenon of polydisperse spherical rigid micro-particles from the PMMA solution has been analyzed and two hypotheses are tested here: (i) there exists a threshold polymer content below which only the smallest particles will be transferred from the bulk; (ii) at the same viscosity of different molecular weight PMMA solution, the solid transfer phenomenon will be similar. By changing the mass and viscosity using three PMMA samples with different MWs in the 1,3-dioxolane solvent, we observe low, intermediate, and high viscous regimes of the PMMA-dioxolane solution system. The low, intermediate, and high viscous regimes can be controlled with the MW and can entrain distinct particle size distributions onto surfaces. This behavior is thoroughly analyzed and relates to the film formation. These results confirmed our first hypothesis that we could use polymer content to control the particle size distribution and that a threshold polymer content exists. However, at similar viscosities, higher molecular weight polymers yielded lower average particle sizes and narrower distributions, which is counter to our second hypothesis. These findings can provide a better understanding of the binder behavior and its influence on the particle transfer process which opens-up the possibility of particle sorting process from a polydisperse suspension mixture and high-yield material transfer for porous structure coating and joining processes. Understanding the particle transfer process can also enable reverse engineering of the liquid carrier system in a complex mixture, which can be beneficial for industrial applications.

Association of Advanced Lipoprotein Subpopulation Profiles with Insulin Resistance and Inflammation in Patients with Type 2 Diabetes Mellitus.

Plasma lipoproteins exist as several subpopulations with distinct particle number and size that are not fully reflected in the conventional lipid panel. In this study, we sought to quantify lipoprotein subpopulations in patients with type 2 diabetes mellitus (T2DM) to determine whether specific lipoprotein subpopulations are associated with insulin resistance and inflammation markers. The study included 57 patients with T2DM (age, 61.14 ± 9.99 years; HbA1c, 8.66 ± 1.60%; mean body mass index, 35.15 ± 6.65 kg/m2). Plasma lipoprotein particles number and size were determined by nuclear magnetic resonance spectroscopy. Associations of different lipoprotein subpopulations with lipoprotein insulin resistance (LPIR) score and glycoprotein acetylation (GlycA) were assessed using multi-regression analysis. In stepwise regression analysis, VLDL and HDL large particle number and size showed the strongest associations with LPIR (R2 = 0.960; p = 0.0001), whereas the concentrations of the small VLDL and HDL particles were associated with GlycA (R2 = 0.190; p = 0.008 and p = 0.049, respectively). In adjusted multi-regression analysis, small and large VLDL particles and all sizes of lipoproteins independently predicted LPIR, whereas only the number of small LDL particles predicted GlycA. Conventional markers HbA1c and Hs-CRP did not exhibit any significant association with lipoprotein subpopulations. Our data suggest that monitoring insulin resistance-induced changes in lipoprotein subpopulations in T2DM might help to identify novel biomarkers that can be useful for effective clinical intervention.

Satellite estimation of suspended particle types using a backscattering efficiency-based model in the marginal seas.

The particle composition of suspended matter provides crucial information for a deeper understanding of marine biogeochemical processes and environmental changes. Particulate backscattering efficiency (Qbbe(λ)) is critical to understand particle composition, and a Qbbe(λ)-based model for classifying particle types was proposed. In this study, we evaluated the applicability of the Qbbe(λ)-based model to satellite observations in the shallow marginal Bohai and Yellow Seas. Spatiotemporal variations of the particle types and their potential driving factors were studied. The results showed that the Qbbe(λ) products generated from Moderate Resolution Imaging Spectroradiometer (MODIS) on the satellite Aqua agreed well with the in situ measured values, with determination coefficient, root mean square error, bias, and mean absolute percentage error of 0.76, 0.007, 16.5%, and 31.0%, respectively. This result verifies the satellite applicability of the Qbbe(λ)-based model. Based on long-term MODIS data, we observed evident spatiotemporal variations of the Qbbe(λ), from which distinct particle types were identified. Coastal waters were often dominated by minerals, with high Qbbe(λ) values, though their temporal changes were also observed. In contrast, waters in the offshore regions showed clear changes in particle types, which shifted from organic-dominated with low Qbbe(λ) levels in summer to mineral-dominated with high Qbbe(λ) values in winter. We also observed long-term increasing and decreasing trends in Qbbe(λ) in some regions, indicating a relative increase in the proportions of mineral and organic particles in the past decades, respectively. These spatiotemporal variations of Qbbe(λ) and particle types were probably attributed to sediment re-suspension related to water mixing driven by wind and tidal forcing, and to sediment load associated with river discharge. Overall, the findings of this study may provide valuable proxies for better studying marine biogeochemical processes, material exchanges, and sediment flux.

Nipah Virus Aerosol Challenge of Three Distinct Particle Sizes in Nonhuman Primates.

Aerosol and inhalational studies of high-consequence pathogens allow researchers to study the disease course and effects of biologicals transmitted through aerosol in a laboratory-controlled environment. Inhalational studies involving Nipah virus with small (1-3μm), intermediate (6-8μm), and large particles (10-14μm) were explored in African green nonhuman primates to determine if the subsequent disease course more closely recapitulated what is observed in Nipah virus human disease. The aerosol procedures outlined describe the different equipment/techniques used to generate the three particle sizes and control the site of particle deposition within this animal model.

Constructing a greener future: A comprehensive review on the sustainable use of fly ash in the construction industry and beyond

An industrial by-product known as fly ash has several possible uses, especially in the building sector and others. Fly ash is used as a cement substitute in blended cement or concrete and is valued for its potential advantages, including greater structural strength, cost efficiency, and environmental sustainability. The distinctive particle size properties of fly ash, which support its adaptability and affordability, are important factors considered in this work. This work explores the inherent qualities of fly ash that can advantageously contribute to cement mortar and concrete compositions by a thorough investigation of various scientific literature, which includes empirical studies, case studies, and review articles. The analysis was conducted under the presumption that these advantages can be significantly increased with the right amount of fly ash. Findings demonstrated that structural concrete components need to be properly cured in both friendly and hostile circumstances. There is evidence that fly ash can boost strength to a certain extent, with a 30% fly ash mix being ideal for normal loading and a 20% fly ash mix for more difficult circumstances. Improved workability, lower heat of hydration, increased resistance to sulphate assaults, and stronger weather resistance are further noteworthy benefits. Fly ash is an essential component of sustainable construction since it complies with ASTM, LEED, and building code criteria. This study also looked at the numerous uses of fly ash outside of the building industry, emphasising its potential in industries including agriculture, soil stabilisation, and the manufacture of lightweight building materials. Future research into the creative application of fly ash in the Indian building industry appears to be quite promising. Last but not least, this investigation highlighted how employing fly ash has important environmental advantages, such as having the capacity to lower CO2 emissions, control the greenhouse effect, and lessen environmental contamination.

Assessing the Effects of Material Properties on Load Behavior in Dry Ball Mills Using DEM

Understanding how the mill load behaves is crucial for enhancing ball mill effectiveness. This study aimed to create a discrete element method (DEM) model to simulate the motion charge in ball mills and to analyze how the simulation material properties affected the load behavior. The steel balls were modelled as a collection of distinct particles, each of which was subject to Newton’s laws of motion and tracked in a Lagrangian manner. Hertzian contact law was used to describe inter-particle collisions. Then, this numerical model was coded using the open-source C++ program LAMMPS Improved for General Granular and Granular Heat Transfer Simulation (LIGGGHTS) to mimic laboratory and pilot-scale ball mills. The load positions measured from the DEM simulations were compared to the published experimental data and empirical models of comparable laboratory and pilot-scale experiments to validate the findings. The angular shoulder position ranged between 137° to 154° for the range of Young’s modulus of 0.5 to 1000 MN/mm2. Angular shoulder and toe positions had a variation of less than 10% from the laboratory and pilot-scale experimental data. The outcomes demonstrated a significant relationship between load position and material characteristics such as Young's modulus in DEM simulation. This preliminary model can be used for choosing the appropriate material parameters for ball mills both with DEM and coupled CFD–DEM multiphase simulations. This assessment concluded that material properties affect the load behavior in computer simulations of ball mills.

Enhanced abrasive-mixed-µ-EDM performance towards improved surface characteristics of biodegradable Mg AZ31B alloy

The non-degradable metallic implants, such as bone screws, often act as the source of dysfunction and harmful corrosion products in the aqueous environment inside the human body. Many of these implants are fixed either temporarily or permanently into the human body, and therefore, both need to match tight tolerances with a remarkably finished surface to eradicate burrs or striations. In this regard, the new generation of degradable magnesium (Mg) alloy implants with excellent osseointegration and low elasticity (like that of human bone), minimizing stress shielding, have been identified as potential candidates to challenge surgical procedures reintervention. However, the biological response of an implant toward the cells in vivo can be predominantly regulated by modifying the surface chemistry, morphology, and corrosion characteristics. Powder or abrasive-mixed-micro-electric discharge machining (A-M-µ-EDM) is gaining attention for executing precision machining and achieving a simultaneous surface modification on micro-manufactured surfaces, suitable for clinical applications. Therefore, the present research aimed at improving the surface characteristics of Mg AZ31B alloy via an augmented performance of A-M-µ-EDM by adopting copper and brass-micro-electrodes (C-µ-E and B-µ-E) in association with distinct abrasive particle concentrations (APCs: 0, 1.5, 3, 4.5, and 6g/l) of bioactive zinc abrasives. To enhance the A-M-µ-EDM capabilities, the experiments were designed with a one-variable-at-a-time (OVAT) strategy, and the trial runs were conducted using different combinations of µ-electrodes and APCs. The superior performance of A-M-µ-EDM was noticed with the fusion of C-µ-E and 3g/l APC in terms of minimum machining time (MT) and dimensional deviation (DD). The additional outcomes of this work reported favorable improvements in surface morphology, chemistry, topography, wettability, microhardness, and corrosion resistance on the A-M-µ-EDMed sample of interest.

A year-round study of ambient gaseous pollutants, their atmospheric chemistry and role in secondary particle formation at an urban site in Delhi

Continuous measurement of the four atmospheric gaseous pollutants (SO2, NO2, CO and O3) were made for a period of about one year (June 2019 to April 2020) at a representative urban site in Delhi. All the four pollutants were found to be elevated during the post-monsoon season (October–December) with peak values observed in the month of November. The present study explores the trends of the atmospheric gas pollutants in a highly polluted atmosphere. In addition, we have highlighted the role of these pollutants in atmospheric chemistry including particle formation and successive growth. During two short-term study periods, a distinct particle growth was observed in the night time associated with the oxidation of SO2 into sulphate particles especially during the post-monsoon season explaining the haze events observed frequently in the city with additional influence of meteorological factors. Unusual high levels of CO observed during pre-monsoon season (March–April) are likely to be associated with the elevated levels of natural biogenic emissions. The present study is one of the best examples validating the conventional secondary chemistry of gaseous pollutants in urban atmosphere.

MeV–GeV Gamma-Ray Emission from SNR G327.1–1.1 Discovered by the Fermi-LAT

We report the discovery of MeV–GeV γ-ray emission by the Fermi-LAT positionally coincident with the TeV pulsar wind nebula (PWN) HESS J1554–550 within the host supernova remnant (SNR) G327.1–1.1. The γ-ray emission is point-like and faint but significant (>4σ) in the 300 MeV–2 TeV energy range. We report here the Fermi-LAT analysis of the observed γ-ray emission followed by a detailed multiwavelength investigation to understand the nature of the emission. The central pulsar powering the PWN within G327.1–1.1 has not been detected in any wave band; however, it is likely embedded within the X-ray nebula, which is displaced from the center of the radio nebula. The γ-ray emission is faint and therefore a pulsation search to determine if the pulsar may be contributing is not feasible. Prior detailed multiwavelength reports revealed an SNR system that is old, τ ∼ 18,000 yr, where the interaction of the reverse shock with the PWN is underway or has recently occurred. We find that the γ-ray emission agrees remarkably well with a detailed broadband model constructed in a prior report based on independent hydrodynamical and semianalytic simulations of an evolved PWN. We further investigate the physical implications of the model for the PWN evolutionary stage incorporating the new Fermi-LAT data and attempt to model the distinct particle components based on a spatial separation analysis of the displaced PWN counterparts.

Incomplete bunyavirus particles can cooperatively support virus infection and spread.

Bunyaviruses lack a specific mechanism to ensure the incorporation of a complete set of genome segments into each virion, explaining the generation of incomplete virus particles lacking one or more genome segments. Such incomplete virus particles, which may represent the majority of particles produced, are generally considered to interfere with virus infection and spread. Using the three-segmented arthropod-borne Rift Valley fever virus as a model bunyavirus, we here show that two distinct incomplete virus particle populations unable to spread autonomously are able to efficiently complement each other in both mammalian and insect cells following co-infection. We further show that complementing incomplete virus particles can co-infect mosquitoes, resulting in the reconstitution of infectious virus that is able to disseminate to the mosquito salivary glands. Computational models of infection dynamics predict that incomplete virus particles can positively impact virus spread over a wide range of conditions, with the strongest effect at intermediate multiplicities of infection. Our findings suggest that incomplete particles may play a significant role in within-host spread and between-host transmission, reminiscent of the infection cycle of multipartite viruses.

Quench dynamics of mass-imbalanced three-body fermionic systems in a spherical trap

We consider a system of two identical fermions of general mass interacting with a third distinguishable particle via a contact interaction within an isotropic three-dimensional harmonic trap. We calculate time-dependent observables of the system after it is quenched in s-wave scattering length. To do this we use exact closed form mass-imbalanced hyperspherical solutions to the static three-body problem. These exact solutions enable us to calculate two time-dependent observables, the Ramsey signal and particle separation, after the system undergoes a quench from non-interacting to the unitary regime or vice-versa.

Differential bacterial ammonia oxidation patterns in soil particles from two contrasting forests: The importance of interfacial interactions

Soil inorganic nitrogen (N) deficiency limits forest productivity in subalpine regions. The traditional view holds that subalpine coniferous forests are characterized by lower soil inorganic N availability, and such differences are greatly affected by the diversity and abundance of ammonia-oxidizing bacteria. It is known that interfacial interactions between bacteria and solid particles in agricultural and aquatic ecosystems can alter bacterial metabolic activity and biogeochemical processes. However, whether bacteria-soil interfacial interactions induce different ammonia oxidation processes in distinct soil particles remain unknown. Herein, we collected soil particles of different sizes from two contrasting forest sites (a spruce-dominated natural forest and spruce plantation) and examined the effect of soil-Nitrosomonas europaea (a model ammonia-oxidizing bacteria) interfacial interactions on the oxidation of ammonium (NH4+-N) using batch adsorption and semipermeable membrane experiments. The metabolic activity of bacteria was also examined using an isothermal microcalorimetric method. Upon adsorption on soil particles, the ammonia oxidation rate and bacterial metabolism activity were slower than those of free bacteria. The inhibition effect ceased when the bacteria were physically isolated from the soil particles by a membrane, indicating the importance of interfacial interactions in the ammonia oxidation process. Additionally, clay particles were more effective than silts and sands in binding cells and greatly reduced the ammonia oxidation reaction. Across the two forests, natural forest soils exhibited a higher bacterial adsorption capacity but lower bacterial metabolic activity, resulting in a fewer loss of NH4+-N. Our results suggested that stronger bacteria-soil interfacial interactions (especially for clay fractions) were responsible for maintaining high soil inorganic N availability in forests, highlighting the need to incorporate interfacial interactions into biogeochemical models of N cycling in forest ecosystems.

Ag-Doped Cu2Se: Tunability of Structural, Optical, and Electrical Properties

A successful synthesis of high-purity Cu2−xAgxSe nanopowders (x = 0.03, 0.06, and 0.0.9 mole) was realized through a direct fusion approach. The XRD measurements uncovered the existence of two phases in the Cu2−xAgxSe nanopowders with dominant orientation along the(101) plane.The (101) reflection displayed a monotonical shift towards 2θ angles due to small disfigurement of unit cell originating from the replacement of Cu with Ag. The optical parameters such as absorption coefficient (α), energy band gaps (Eg), extinction coefficients (k), and the refractive index (n) were thoroughly investigated. The values of the energy band gap were found to be 0.78 to 1.5 eV. The increase in the band gap may be due to the decrease in grain size, or the increase in strains. Scanning and transmission electron microscope (SEM) and TEM were used to investigate the morphology of the samples. Cu0.97Ag0.03Se exhibits distinguishable particles and a clear grain boundary, while Cu0.91Ag0.09Se exhibits particles with tetragonal and monoclinic shapes, which supported the presence of two phases-tetragonal CuAgSe and monoclinic −Cu2Se-found in the XRD data. The presence of Ag, Cu, and Se was confirmed by the energy-dispersive X-ray analysis (EDAX). The dielectric characteristics, ac conductivity, and the complex electric modulus were investigated in the frequency range from 0.1 Hz to 10 MHz at temperatures 30 °C and 150 °C.

Enhanced resolution of the continuity equation in explicit weakly compressible SPH simulations of incompressible free‐surface fluid flows

This paper is dedicated to improved resolution of the continuity equation and thus more precise satisfaction of incompressibility conditions in explicit weakly compressible SPH (Smoothed Particle Hydrodynamics) simulations of incompressible free-surface fluid flows. In the explicit weakly compressible SPH methods, including δ-SPH with a widely adopted particle shifting scheme (or the so-called δ-plus-SPH), two incompressibility conditions corresponding to the invariant density condition and divergence-free velocity condition are not well resolved. To achieve enhanced resolution of the continuity equation as well as satisfaction of both incompressibility conditions, this paper presents two novel schemes, namely, Velocity-divergence Error Mitigating (VEM) and Volume Conservation Shifting (VCS) schemes. The VEM scheme corresponds to an additional term in the momentum equation that mitigates the velocity divergence error at every computational time step. The VEM term is derived by linking the instantaneous velocity divergence error to the undesired density time variations and accordingly to an error mitigating pressure pVEM obtained through an Equation of State (EOS). The corresponding pressure gradient term or acceleration leads to attenuation of numerical noise in the velocity divergence field. The VCS acts as a distinct particle shifting scheme to enforce local and thus global volume conservation. This distinct shifting is obtained through calculation of the gradient of a corresponding pressure, namely, pVCS, obtained through efficient solution of a Poisson Pressure Equation (PPE) derived from the concept of projection-based particle methods. By adopting both proposed schemes, the explicit SPH method is shown to provide enhanced satisfaction of both incompressibility conditions, i.e., divergence-free velocity and invariant density conditions, in simulation of incompressible free-surface fluid flows.

Comparative Study on Liquefaction Behavior of Calcareous Sand and Siliceous Sand Under Simple Shear Loading

ABSTRACT In this paper, a comparative study was conducted on the undrained monotonic and cyclic behavior of calcareous sand and siliceous sand using a series of simple shear tests. To more effectively draw the comparison, the same grain-size distribution was employed for calcareous sand and siliceous sand to study any underlying liquefaction behavior divergence arising from their respective distinctive particle characteristics. The results suggested that calcareous sand exhibited higher peak strengths, stability and liquefaction resistance than siliceous sand. Furthermore, the peak strength from monotonic shear tests could serve as a vital index to assess the liquefaction resistance of the sand.

When Specimens Become Environmental Traits: Automating data extraction in aerobiology

The identity of a biological specimen can be considered the most basic type of trait: the species (or higher taxon) the specimen belongs to, one of the three most fundamental data elements (along with location and time) that configure the primary biodiversity data record whose quantification may underpin biological monitoring programs. A general image containing specimens (for example, a photo from a surveillance camera), where individual organisms are to be identified, is akin to an image of a single organism where traits are to be recognized: the individual, often distinct organisms in the image, become the traits of the image. In many cases, automated segmentation and classification/identification and counting of individuals captured within general images containing multiple organisms is most desirable—provided precision and recall exceed a reasonable threshold: that which minimizes the false-positive error rate, as compared to human identification in images. When this occurs, quantitative monitoring data are amenable to good automation, saving much time and human effort. One particularly well-suited case is that of airborne pollen and spore monitoring, hitherto done manually in most of the world. However, systems are being developed that can recognize atmospheric pollen content from images. Two main approaches are possible: either fully automated systems, or recognition from captured field images. In both cases, some instance of artificial intelligence, most often a convolutional neural network, is tasked with the recognition of pollen and spore types, after proper training, from microscopic images. Several problems exist for the wider adoption of such approaches. Among them, the workflow order of segmentation and identification, the portability of the neural network training for different locations, the differences in performance for distinct particle types, and the generation and archival of images: field images vs. individual (segmented) detected specimens, which call for wholly different approaches to metadata. In this presentation we review the general outlook of automated airborne pollen and spore monitoring data, and compare performance data in some specific deep learning settings and workflows, based on actual monitoring work, training and tests with real images.

Emergent tracer dynamics in constrained quantum systems

We show how the tracer motion of tagged, distinguishable particles can effectively describe transport in various homogeneous quantum many-body systems with constraints. We consider systems of spinful particles on a one-dimensional lattice subjected to constrained spin interactions, such that some or even all multipole moments of the effective spin pattern formed by the particles are conserved. On the one hand, when all moments - and thus the entire spin pattern - are conserved, dynamical spin correlations reduce to tracer motion identically, generically yielding a subdiffusive dynamical exponent $z=4$. This provides a common framework to understand the dynamics of several constrained lattice models, including models with XNOR or $tJ_z$ - constraints. We consider random unitary circuit dynamics with such a conserved spin pattern and use the tracer picture to obtain exact expressions for their late-time dynamical correlations. Our results can also be extended to integrable quantum many-body systems that feature a conserved spin pattern but whose dynamics is insensitive to the pattern, which includes for example the folded XXZ spin chain. On the other hand, when only a finite number of moments of the pattern are conserved, the dynamics is described by a convolution of the internal hydrodynamics of the spin pattern with a tracer distribution function. As a consequence, we find that the tracer universality is robust in generic systems if at least the quadrupole moment of the pattern remains conserved. In cases where only total magnetization and dipole moment of the pattern are constant, we uncover an intriguing coexistence of two processes with equal dynamical exponent but different scaling functions, which we relate to phase coexistence at a first order transition.

Elucidating the Nature of the External Acid Sites of ZSM‐5 Zeolites Using NMR Probe Molecules

The identification of acid and nonacid species at the external surface of zeolites remains a major challenge, in contrast to the extensively-studied internal acid sites. Here, it is shown that the synthesis of zeolite ZSM-5 samples with distinct particle sizes, combined with solid-state NMR and computational studies of trimethylphosphine oxide (TMPO) adsorption, provides insight into the chemical species on the external surface of the zeolite crystals. 1 H-31 P HETCOR NMR spectra of TMPO-loaded zeolites exhibit a broad correlation peak at δP ∼35-55 ppm and δH ∼5-12 ppm assigned to external SiOH species. Pore-mouth Brønsted acid sites exhibit 31 P and 1 H NMR resonances and adsorption energies close to those reported for internal acid sites interacting with TMPO. The presence of an external tricoordinate Al-Lewis site interacting strongly with TMPO is suggested, resulting in 31 P resonances that overlap with the peaks usually ascribed to the interaction of TMPO with Brønsted sites.

A dielectrophoresis proof of concept of polystyrene particles and in‐vitro human epidermal keratinocytes migration for wound rejuvenation

AbstractDiabetes affects approximately 170 million people worldwide, is expected to double by 2030, and is a severe problem. Electrical stimulation (ES) via dielectrophoresis (DEP) technique may be an effective alternative in enhancing healing rates in diabetic patients with open ulcers. This research used DEP force (FDEP) to manipulate 3.2, 4.8, 10, and 15 μm polystyrene (PS) particles to predict the migration capability of human epidermal keratinocytes (HEKs). A numerical modeling method, MyDEP, was used to predict the interpretation of Clausius–Mossotti factors of PS particles and HEKs. The finite element method computes the electric field intensity and particle trajectory based on DEP and drag forces in their respective medium. DEP experiments on numerous size PS particles and alive HEKs were carried out in a tapered aluminium microelectrode array using a non‐uniform electric field. The distinct PS particles exhibit positive DEP (PDEP), crossover frequency (fXO), and negative DEP (NDEP), whereas the HEKs experience, only NDEP due to its high conductive medium in frequency ranges from 100 kHz to 1 MHz. Finally, the DIPP‐MotionV analysis shows that particle mobility between speed and acceleration is statistically considerable. When an appropriate frequency is applied to HEKs in random locations, the FDEP aligns at the desired target position based on its dielectric properties, which accelerates wound healing in in‐vivo conditions.