Separation Parameters Research Articles

Combined gravity separation-oil agglomeration separation of coal gasification fine slag and metal elements risk characteristics in separated products

ABSTRACT Coal gasification fine slag (FS) is a by-product of coal gasification with significant potential for resource utilization. However, the low recovery rate of residual carbon greatly restricts its resource utilization and harmless disposal. In this paper, a spiral separator was used to recover FS, followed by the use of oil agglomeration separation technology to enhance the selection of concentrate. The separation mechanism of the oil agglomeration process was analyzed through EDLVO theoretical calculation. Finally, the ecological risk of metal element speciation in the separated products was assessed with Risk Assessment Code (RAC) and the Ratio of Secondary Phase to Primary Phase (RSP). The results showed that by optimizing the separation parameters, efficient separation of residual carbon and ash components could be achieved at the pulp flow of 1.0 m3·s−1 and pulp density of 5%, with the ash content of the obtained concentrate, middlings, and tailings products being 42.11%, 40.45%, and 88.46%, respectively. Concentrates were reselected using oil agglomeration separation technology at the oil dosage of 25% and a stirring time of 15 min, and the ash content of the obtained clean coal and tailings were 18.04% and 93.04%, while the clean coal yield of this grade accounted for 38.48% of the total sample. The EDLVO theory indicated that the emulsified kerosene enhanced the hydrophobicity of the residual carbon particles, increasing the difference in hydrophobicity between the carbon and ash particles, thereby strengthening the recleaning effect of concentrate. The RSP evaluation method confirmed that metal element levels in tailings are within safe limits, which could be used for direct secondary resource utilization. This study provided a theoretical basis and technical guidance for the separation and resource utilization of FS.

Study on the Influence of External Electric Field Control and Vibrational Quantum Effect on the Charge Separation Mechanism in Fullerene-Based Systems.

Based on the DCV-C60 system of fullerene acceptor organic solar cell active materials, the charge transfer process of D-A type molecular materials under the action of an external electric field (Fext) was explored. Within the range of electric field application, the excited state characteristics exhibit certain regular changes. Based on reducing the excitation energy, the excitation mode shows a trend of developing toward low excited states. The effect of solvent polarity on the stability and reorganization energy of the charge transfer state was investigated. The dependence of charge separation parameters on specific molecular structures within the electric field range was studied, proving that the electric field set along the electron transfer direction can indeed accelerate charge separation. The influence of vibrational modes on the charge separation process was studied, and the results showed that the vibrational quantum tunneling effect significantly promoted the charge separation. Therefore, considering the vibrational excitation effect and the perturbation of the nuclear-electron interaction is crucial for more accurate simulation of the electron-vibration coupling process in the excited state.

Formulation, optimisation, and evaluation of Lornoxicam-loaded Novasomes for targeted ulcerative colitis therapy: in vitro and in vivo investigations

The purpose of this work was to create and assess Lornoxicam (LOR) loaded Novasomes (Novas) for the efficient treatment of ulcerative colitis. The study was performed using a 23 factorial design to investigate the impact of several formulation variables. Three separate parameters were investigated: Surface Active agent (SAA) type (X1 ), LOR concentration (X2 ), and SAA: Oleic acid ratio (X3 ). The dependent responses included encapsulation efficiency (Y1 : EE %), particle size (Y2 : PS), zeta potential (Y3 : ZP), and polydispersity index (Y4 : PDI). The vesicles demonstrated remarkable LOR encapsulation efficiency, ranging from 81.32 ± 3.24 to 98.64 ± 0.99%. The vesicle sizes ranged from 329 ± 9.88 to 583.4 ± 9.04 nm with high negative zeta potential values. The release pattern for Novas’ LOR was biphasic and adhered to Higuchi’s model. An in-vivo study assessed how LOR-Novas affected rats’ acetic acid-induced ulcerative colitis (UC). The optimised LOR-Novas effectively reduced colonic ulceration (p < 0.05) and reduced the inflammatory pathway via inhibiting Toll-like receptor 4 (TLR4), Nuclear factor kappa β (NF-κβ) and inducible nitric oxide (iNO). At the same time, it elevated Silent information regulator-1(SIRT-1) and reduced glutathione (GSH) colon contents. Thus, the current study suggested that the formulation of LOR-Novas may be a viable treatment for ulcerative colitis.

SIMULATION AND EXPERIMENT ON PET AND BOPP MIXTURE SEPARATION BASED ON EDEM–FLUENT

To improve the efficiency and quality of polyethylene terephthalate (PET) recycling, the air separation recovery of PET and biaxially oriented polypropylene (BOPP) materials in broken plastic beverage bottles was explored and analyzed in this study. A gas–solid two-phase flow model was established to simulate the movement of flaky mixtures with different textures in the wind field. Analysis results show that wind velocity at the air outlet (A), initial material falling speed (B), angle between wind velocity at the outlet (C) and the horizontal direction, and material feed rate (D) are the key parameters that affected the separation. On the basis of the simulation results, an orthogonal experiment with four factors and three levels was designed, and range analysis and ANOVA were performed on the test results, which present the result of the influencing degree of each factor on the separation rate as follows: A &gt; B &gt; C &gt; D. The fitting analysis of 3D scattered-point surfaces, the interaction between A and B exerts the greatest influence on the separation rate in the six groups of interaction experiments. The best separation parameters are acquired for the experiment, and the mass percentage of recycled PET is 99.96%, which achieve recycling requirements. Keywords: EDEM–Fluent coupling; Air separation; Orthogonal experiment; PET/BOPP mixture

Optimization of Separation Parameters for a Pneumatic Separation Device for Plastic Evidence at Explosion Sites

AbstractExtracting and recovering plastic evidence at explosion sites is important for police investigations. Pneumatic separation is an efficient recovery method that is simple and environmentally friendly. To improve the accuracy of material separation, it is necessary to fully understand the influence of internal flow fields and structural design when using a material evidence classification device at explosion sites. In this study, a combination of a simulation and experiments is used. The results from the simulation are used to design a pneumatic separation device that is applied to explosive separation experiments. The grade and recovery rate of the plastic materials are excellent, which confirms the suitability of the device to classify plastic evidence at explosion sites.

Microscale Extraction of Carrier Free Re Radioisotope (188Re) from Irradiated Natural Tungsten Target for Radiopharmaceutical Preparation

ABSTRACT Among radionuclides used for targeted radionuclide therapy in nuclear medicine, rhenium-188 radioisotope is of particular relevance. No-carrier-added (NCA) 188Re was produced at the Egyptian Second Research Reactor (ETRR-2) by neutron irradiation of natural tungsten target via indirect nuclear reaction. The radiochemical separation of 188Re from irradiated tungsten target was investigated based on solvent extraction technique using Aliquat 336. Several separation parameters were checked and optimized. The batch experimental results indicated that an extraction % of 95% was obtained at pH 4, 0.1 M of Aliquat 336, and 1.5 h extraction time for extraction of 188Re, while for 187W it was around 19% at these conditions. Finally, 188Re was purified from the irradiated tungsten target by the utilization of 1 M HNO3 as a stripping agent. The stripped fractions of 188Re were of high chemical, radiochemical, and radionuclidic purity.

The Application of the Design of Experiments and Artificial Neural Networks in the Development of a Fast and Straightforward HPLC-UV Method for Fluconazole Determination in Hemato-Oncologic Pediatric Patients and Its Adaptation to Therapeutic Drug Monitoring.

Objectives: This study aimed to develop an optimized and wide concentration range HPLC-UV method for fluconazole (FLU) determination and its adaptation for pharmacokinetics (PK) studies in the pediatric population. Methods: The following parameters of chromatographic separation were optimized: retention time, tailing factor, peak height, and the sample preconditioning parameter, such as recovery. The optimization process involved the use of a central composite design (CCD) and Box-Behnken design (BBD) in the design of experiments (DoE) approach and a multilayer perceptron (MLP) for artificial neural network (ANN) application. Statistical and PK analyses were performed using Statistica and PKanalix. Results: The acetonitrile (ACN) concentration revealed the most significant factor influencing the retention time, tailing factor, and peak height of FLU and the internal standard. For recovery, the extracting agent's volume was the most significant factor. In most cases, the analysis conducted with the DoE and ANN indicated the same factors in a similar order regarding their impact on the analyzed variables. The optimization process allowed for achieving a wide range of determined concentrations (0.5-100 mg/L) and ~100% recovery. The developed method enabled PK analysis of 12 samples from three pediatric patients, proving its clinical usability. The estimated median clearance (CL) and volume of distribution (Vd) were 1.01 L/h and 18.64 L, respectively. Conclusions: DoE and ANNs are promising and useful tools in the optimization of sample preconditioning as well as the HPLC separation procedure. The investigated fluconazole determination method meets the European Medicines Agency (EMA) validation objectives and might be used in pediatric and adult PK studies.

Stability of mass transfer parameters in critical regimes of two-phase flows

Stability of fractional separation parameters has been revealed in separation practice. Such stability is surprising, because an immense number of particles of various sizes take part in a process with a large number of random factors. Analysis of this phenomenon from the standpoint of statistical approach has explained its existence. A key notion of a statistical system is entropy. It is shown that a mass system evolves into a state corresponding to the maximal entropy value. Whenever fluctuations disturb the equilibrium of a system, its entropy decreases, and non-equilibrium processes return the system into its extreme state. This fact explains the stability of separation parameters.

Quantitative fluctuation analysis of multiscale diffusion systems via Malliavin calculus

We study fluctuations of small noise multiscale diffusions around their homogenized deterministic limit. We derive quantitative rates of convergence of the fluctuation processes to their Gaussian limits in the appropriate Wasserstein metric requiring detailed estimates of the first and second order Malliavin derivative of the slow component. We study a fully coupled system and the derivation of the quantitative rates of convergence depends on a very careful decomposition of the first and second Malliavin derivatives of the slow and fast component to terms that have different rates of convergence depending on the strength of the noise and timescale separation parameter.

The Effect of Micro-Computed Tomography Thresholding Methods on Bone Micromorphometric Analysis.

Bone micromorphometric parameters are generally analyzed with micro CT to reveal two- and three-dimensional structures. These parameters are generally used for new bone formation studies such as tissue engineering and biomaterials studies. Different threshold methods are used for the image segmentation of bone micromorphometric parameters. However, these different threshold methods provide different results for the bones analyzed. This study aimed to compare thresholding methods to evaluate bone micromorphometric parameters in the mouse bone. A dataset containing 15 mouse tibia was used to analyze the different thresholding methods for bone micromorphometric parameter analysis. These threshold methods were used to analyze the mouse tibia (n = 15) with thresholded bones. The threshold methods and the analysis were used directly from CTAn (Bruker Micro-CT). The results were compared between the threshold methods, which included bone volume, trabecular number, connectivity, trabecular separation, and other parameters. There was agreement to some extent for all bone micromorphometric analyses using the different thresholding methods. The results showed that the thresholding method showed good agreement for connectivity and trabecular thickness, but the other parameters showed limited agreement. The evaluation of threshold methods allows for the comparison of image segmentation and the quantification of mouse tibia micromorphometric parameters. This study may enable the analysis of bone micromorphometric parameters using the relatively close threshold method in image segmentation across different research groups.

Possibilities and limitations of computer assisted chiral HPLC method development for ozanimod on polysaccharide based chiral stationary phases.

In this study, a direct HPLC method was developed to determine the enantiomeric purity of the immunomodulatory drug, ozanimod. A systematic method development process was followed, incorporating risk assessment, identification of critical analytical procedure parameters, initial screening of stationary phases, and software-assisted optimization of method parameters. Eight different polysaccharide-based chiral columns were selected to assess chiral separation of enantiomers under polar organic elution mode. The most promising results were obtained using a methanol:2-propanol mixture on the amylose-based Chiralpak AD column. Following this, systematic modeling was conducted using DryLab software to optimize method conditions, including isocratic eluent composition, temperature, and flow rate. Baseline separation was achieved within fifteen minutes using the optimized parameters: Chiralpak AD column thermostated at 10°C, and a mobile phase of methanol:2-propanol: diethylamine, 70:30:0.1 (v/v/v %), delivered at a flow rate of 0.8 mL/min. The developed method was validated according to current guidelines and in silico robustness testing was conducted to determine tolerance limits for critical separation parameters and their impact on enantioresolution. Our findings demonstrate the utility of DryLab, typically employed for reversed-phase achiral separations, in optimizing chiral methods even in polar organic mode. Limitations of the selected approach the development of chiral separation methods are also highlighted.

Reinforcement Learning-Based Predefined-Time Tracking Control for Nonlinear Systems Under Identifier-Critic-Actor Structure.

A novel reinforcement learning-based predefined-time tracking control scheme with prescribed performance is presented in this article for nonlinear systems in the presence of external disturbances. First, by employing the backstepping strategy, an adaptive optimized controller is developed under the identifier-critic-actor framework. Therein, the unknown nonlinear dynamics and the system control behavior can be learned effectively through neural networks. Moreover, aiming at obtaining the preset tracking performance, the prescribed performance control is integrated with the predefined-time control. In contrast to previous studies, the proposed scheme can not only constrain the tracking error rapidly to a prearranged vicinity of origin, but also ensure that the upper bound of convergence time can be adjusted in advance via a separate control parameter. In terms of the predefined-time stability theory, the boundedness of all system states can be proven within a predefined time. Finally, the availability and improved performances of the proposed control scheme are demonstrated by a numerical example and a single-link manipulator example.

Inverse stochastic resonance in adaptive small-world neural networks.

Inverse stochastic resonance (ISR) is a counterintuitive phenomenon where noise reduces the oscillation frequency of an oscillator to a minimum occurring at an intermediate noise intensity, and sometimes even to the complete absence of oscillations. In neuroscience, ISR was first experimentally verified with cerebellar Purkinje neurons [Buchin et al., PLOS Comput. Biol. 12, e1005000 (2016)]. These experiments showed that ISR enables a locally optimal information transfer between the input and output spike train of neurons. Subsequent studies have further demonstrated the efficiency of information processing and transfer in neural networks with small-world network topology. We have conducted a numerical investigation into the impact of adaptivity on ISR in a small-world network of noisy FitzHugh-Nagumo (FHN) neurons, operating in a bi-metastable regime consisting of a metastable fixed point and a metastable limit cycle. Our results show that the degree of ISR is highly dependent on the value of the FHN model's timescale separation parameter ε. The network structure undergoes dynamic adaptation via mechanisms of either spike-time-dependent plasticity (STDP) with potentiation-/depression-domination parameter P or homeostatic structural plasticity (HSP) with rewiring frequency F. We demonstrate that both STDP and HSP amplify the effect of ISR when ε lies within the bi-stability region of FHN neurons. Specifically, at larger values of ε within the bi-stability regime, higher rewiring frequencies F are observed to enhance ISR at intermediate (weak) synaptic noise intensities, while values of P consistent with depression-domination (potentiation-domination) consistently enhance (deteriorate) ISR. Moreover, although STDP and HSP control parameters may jointly enhance ISR, P has a greater impact on improving ISR compared to F. Our findings inform future ISR enhancement strategies in noisy artificial neural circuits, aiming to optimize local information transfer between input and output spike trains in neuromorphic systems and prompt venues for experiments in neural networks.

Optimization analysis of the particle focusing and separation parameters of a sheathless microfluidic device using standing surface acoustic waves

Flow-based particle separation usually requires a sheath flow for particle manipulation. Sheath fluid is a specialized buffer solution that directs the alignment of particles or cells into the center of the stream. By utilizing sheath flow, the particles or cells can be focused on the middle line of the microchannel, where they can be individually analyzed. However, the method requires an additional design for creating a suitable sheath flow. Purity and separation efficiency may also be influenced by the sheath flow. In this study, we present a sheathless device for particle focusing and separation using standing surface acoustic waves (SSAWs). The device comprises two regions: the focusing and separation regions. In the focusing region, particles in a continuous flow are aligned in the middle of the microchannel by SSAWs; in the separation region, tilted-angle SSAW-based particle separation is used to control particle migration. Varying particle sizes were focused in the focusing region and then separated in the separation region in the sheathless device. Experiments and simulations were also utilized to optimize a sheathless device. 10 and 20 μm particle focusing and separation were conducted in a sheathless device for the first time. We demonstrate that the separation of particles with a diameter of 10 and 20 μm has 90.8 ± 1.75% and 99.5 ± 0.8% separation efficiency, and 98 ± 3.4 and 97.9 ± 0.9% purity. Compared with other focusing and separation technologies, our device can also provide high purity, high separation efficiency, and high device density.

Experimental study of the factors influencing the uniformity of an air curtain and numerical simulation of the factors influencing its dust barrier effect

This study analyzes the influence of air curtain diameter and internal duct structure on the uniformity of an air curtain using Fluent numerical simulation combined with an experimental method after actual measurement of relevant parameters at the construction site, and simulates the best dust insulation parameters of a uniform air curtain. As the diameter of the air curtain supply duct increases and the internal air duct structure is reasonably designed, the axial static pressure of the air curtain generator and the air velocity at the curtain outlet are more uniform, which forms a higher strength of the air curtain. The best dust separation parameter of the uniform air curtain is the vertical downward generated air curtain with an outlet air velocity of 12 m/s and an outlet strip slit width of 80 mm, in which the dust separation efficiency could reach about 79.5%.

Psychometrics of drift-diffusion model parameters derived from the Eriksen flanker task: Reliability and validity in two independent samples.

The flanker task is a widely used measure of cognitive control abilities. Drift-diffusion modeling of flanker task behavior can yield separable parameters of cognitive control-related subprocesses, but the parameters' psychometrics are not well-established. We examined the reliability and validity of four behavioral measures: (1) raw accuracy, (2) reaction time (RT) interference, (3) NIH Toolbox flanker score, and (4) two drift-diffusion model (DDM) parameters-drift rate and boundary separation-capturing evidence accumulation efficiency and speed-accuracy trade-off, respectively. Participants from two independent studies - one cross-sectional (N = 381) and one with three timepoints (N = 83) - completed the flanker task while electroencephalography data were collected. Across both studies, drift rate and boundary separation demonstrated comparable split-half and test-retest reliability to accuracy, RT interference, and NIH Toolbox flanker score, but better incremental convergent validity with psychophysiological measures (i.e., the error-related negativity; ERN) and neuropsychological measures of cognitive control than the other behavioral indices. Greater drift rate (i.e., faster and more accurate responses) to congruent and incongruent stimuli, and smaller boundary separation to incongruent stimuli were related to 1) larger ERN amplitudes (in both studies) and 2) faster and more accurate inhibition and set-shifting over and above raw accuracy, reaction time, and NIH Toolbox flanker scores (in Study 1). Computational models, such as DDM, can parse behavioral performance into subprocesses that exhibit comparable reliability to other scoring approaches, but more meaningful relationships with other measures of cognitive control. The application of these computational models may be applied to existing data and enhance the identification of cognitive control deficits in psychiatric disorders.

Online SFE-SFC-MS/MS analysis of pyraclostrobin and chiral mefentrifluconazole residues in mango and mango juice

This study established an on-line SFE-SFC-MS/MS method for the determination of mefentrifluconazole (MFZ) enantiomers and pyraclostrobin (PY) in mango and mango juice. Key parameters of SFC separation and SFE extraction have been optimized for high efficiency, sensitivity, and environmental friendliness. Enthalpy controlled enantioseparations of MFZ were recognized by thermodynamic analysis. Molecular docking estimated the enantiomeric recognition of MFZ enantiomers binding to the chiral stationary phase. The mean recoveries (RSDs) were in the range of 94.5–106.8 % (4.2–15.4 %), 91.1–103 % (3.6–10.3 %), 94.7–102.7 % (3.8–9.8 %), and 93.2–106.9 % (4.1–12.1 %) for R-MFZ, S-MFZ, racemic MFZ, and PY under 3 spiked levels of interday assays (n = 15). The LOQs of R-MFZ, S-MFZ, and PY were 0.5, 0.5, and 1 μg kg−1. The method was further applied to real samples in Guangxi Province, China with low acute and chronic dietary risk for MFZ and PY in mango and mango juice.

Exploring Selectivity of Supercritical-CO2 for Vitamin E Extraction from Canola Seeds

The objective of the current study was to investigate the selectivity of supercritical-CO2 for extraction and concentration of Vitamin E components from canola seeds. The selectively extracted Vitamin E in supercritical-CO2 solvent was related to pressure, temperature, and density through the developed thermodynamic modeling approach. The results suggested that increased pressure and density would enhance the selectivity of supercritical-CO2 solvent, consequently obtaining highly concentrated Vitamin E. The thermodynamic modeling equations have correlated the selectivity of supercritical-CO2 solvent for extracting Vitamin E in terms of processing conditions including pressure, temperature, and density of the supercritical-CO2 solvent fluid. The activity coefficient in thermodynamic modeling was involved with those key parameters that are important in determining selectivity, concentration, and extraction results. The supercritical-CO2 solvent can be made highly selective by precisely controlling the operating pressure and temperature. This allowed the supercritical-CO2 solvent to achieve the desired density in the supercritical phase, thereby enhancing the selectivity for targeted components. The thermodynamic mathematical modeling offered valuable insights for enhancing extraction processes in industrial settings. A high regression coefficient via linear structural modeling analysis indicated that the response equation fitted with the experimental data (R2 = 0.8737). The experimental results for the separation parameters provide optimal selectivity of supercritical-CO2 solvent for extracting and concentrating Vitamin E compounds for establishing commercial production.

Gamma irradiation-induced degradation of hexachlorobenzene in methanol: Kinetics, mechanism and dehalogenation pathway

Hexachlorobenzene (HCB), a persistent organic pollutant (POP) and organochlorine compound (OCC), poses significant environmental and health risks due to its high stability and solubility in fats, oils, and organic solvents. This study investigates the degradation of HCB in methanol using gamma irradiation with a60Co source. A 2 × 10−4 M solution of HCB in methanol was prepared and irradiated at a dose rate of 1.74 Gy/s. The degradation process was monitored using Gas Chromatography-Mass Spectrometry (GC-MS), with optimized parameters for effective separation and analysis of byproducts.The results demonstrated a 100% degradation of HCB at an absorbed dose of approximately 51 kGy. The degradation pathway involved successive dechlorination, forming various chlorinated benzene (CB) byproducts such as pentachlorobenzene (PCB), tetrachlorobenzenes (TeCB), trichlorobenzenes (TCB), dichlorobenzenes (DCB), and ultimately benzene.Ion chromatography (IC) analysis revealed a dose-dependent increase in Cl⁻ concentrations, confirming the efficiency of dechlorination. A chlorine mass balance was performed to evaluate the distribution of chlorine during the degradation process, tracking Cl⁻ ions, CBs, and residual HCB. As the dose increases, the chlorine content in residual HCB decreases significantly, with none remaining at 50.2 kGy and beyond. At 169.5 kGy, nearly all chlorine (99.96%) is unaccounted for, suggesting that it has likely been released as gaseous byproducts, such as Cl₂ or other volatile chlorinated compounds.The formation of solvated electrons and hydrogen radicals initiated the dechlorination process, as evidenced by the identified reaction mechanisms. Kinetic analysis indicated that the degradation followed pseudo-first-order kinetics, with a rate constant of 5 × 10−4 s−1. The study also outlines a dose-dependent trend in radiation chemical yields (G values), initially increasing to a peak of 7.3 × 10−2 molecules per 100 eV at 12.6 kGy and subsequently decreasing to as low as 5.4 × 10−4 at 50.2 kGy.This study highlights the effectiveness of gamma irradiation for the complete degradation of HCB in methanol, offering a promising method for the remediation of POPs-contaminated environments. The proposed mechanism and kinetic properties provide a comprehensive understanding of the radiolytic degradation process, paving the way for further applications in environmental cleanup technologies.

Continuous recovery of tellurium and cadmium from simulated CdTe leachates using a fixed-bed-column adsorption system

Rare element resource (Te) loss and heavy metal (Cd) pollution, derived from waste photovoltaic CdTe cells, have attracted considerable attention in the cleaner production and environmental protection field. However, there are several technical barriers in conventional adsorption strategies for the continuous recovery Te(Ⅳ) and Cd(Ⅱ) due to single-component recovery, inefficient adsorbent utilization and less automation. Herein, this work presented a fixed-bed-column adsorption system for the continuous adsorption recovery of tellurium and cadmium from a simulated CdTe leachate using functional sludge-based adsorption fillers (LDO/SF and EDTA@LDH/SF) that prepared from water-processing sludge via hydrothermal synthesis, thermal activation and surface modification technologies. Breakthrough curves were analyzed for adsorption columns, considering initial concentration, flow rate, and filler height, with parameters evaluated using the Thomas and BDST models to determine the optimal separation parameters. During the continuous adsorption process, the column adsorption system with the filler layer height of 4 cm and liquid delivery rate of 1 mL/min can be used for continuous separation of more than 1000 mL of a simulated CdTe leachate and exhibits adsorption efficiencies of more than 96% and 82% for Te(Ⅳ) and Cd(Ⅱ), respectively. More importantly, the elution procedure was used to treat the column adsorption system with ion adsorption acceptances of 83% and 90% for Te(Ⅳ) and Cd(Ⅱ), respectively. Meanwhile, the functional sludge-based fillers demonstrated great regeneration and recycling capabilities, thus maximizing the utilization of adsorbents and saving treatment costs. This study has established a robust technical solution for the continuous recovery of tellurium and cadmium from simulated leachates, providing a practical framework for evaluating the efficiency of adsorption filler columns in actual applications.