Bed Depth Service Time Model Research Articles

Treatment of fluoride-contaminated water in a prototype adsorption unit using zirconium-activated carbon nanocomposites

ABSTRACT Zirconium-activated carbon nanocomposites (ZANC) are found to have high fluoride removal capacity and thus used as an adsorbent to perform column studies. The adsorbent was characterised using SEM-EDS and FTIR before and after the adsorption of fluoride. A packed bed adsorber prototype of 1 m length was fabricated to carry out defluoridation studies. The effect of varying initial fluoride concentration (2.5–10 ppm) and bed height (6–14 cm) was studied. The maximum fluoride removal was found to be 29.4% and uptake capacity was 4.72 mg/g at an initial fluoride concentration of 10 ppm, flow rate of 2 LPM, and bed height of 14 cm for synthetic samples. The Thomas, Yoon–Nelson and Bed Depth Service Time (BDST) models were employed and their results confirmed the experimental findings. The maximum fluoride adsorption capacities obtained from the Thomas model are 1.9 mg/g and from the BDST model, the N value was 20.979 mg/cm3. Regeneration studies were performed and found that the adsorbent can be regenerated for three cycles. Column studies were also performed using real-field groundwater samples collected from Pavagada of Tumakuru district. All the tested parameters of the treated water were found to be within the permissible limit.

Removal of sulfamethoxazole using Fe-Mn biochar filtration columns: Influence of co-existing polystyrene microplastics

Emerging contaminants, particularly antibiotics and microplastics (MPs), present significant challenges in wastewater treatment and pose large ecological risks. This study investigates the removal efficiency of sulfamethoxazole (SMX) using Fe-Mn modified biochar (BFM) in fixed bed filtration columns, emphasizing the effect of the presence of polystyrene microplastics (PS-MPs) on SMX behavior in both water (pH ≈ 5.6) and selected wastewater (pH ≈ 8) systems. Batch sorption results show that 10 mg/L SMX in 50 mL water can be completely removed by 100 mg BFM sorbent. The Bed Depth Service Time model indicated the BFM column is feasible for SMX removal in scaled-up continuous wastewater flow operations, while the Yan model best elucidates SMX filtration behavior and suggests the dominant adsorption mechanisms include external mass transfer and intraparticle diffusion. The present of both 20 mg/L and 100 mg/L PS-MPs (pH ≈ 5.6) significantly reduced SMX retention due to competitive sorption. However, at pH 3.2, competitive sorption became negligible due to electrostatic interactions driving the PS-MPs sorption, while neutral charged SMX bound through hydrogen-bonds or π-π EDA interactions. Elevated pH shifted both PS-MPs and SMX sorption to non-electrostatic thus intensifying sorption competition, highlighting the influence of pH on their interaction dynamics. In wastewater, SMX filtration was slightly inhibited by 100 mg/L PS-MPs in BFM columns, whereas PS-MPs removal remained unaffected due to the high ionic strength and alkaline pH. These findings highlight the impact of MPs on pollution removal efficiency in filtration system, essential for enhancing biochar-based wastewater treatment strategies.

Remediation of lead toxicity with waste-bio materials from aqueous solutions in fixed-bed column using response surface methodology

Heavy metal ions pose significant risks to human health, pelagic, and several other life forms due to perniciousness, tendency to accumulate, and resistance to biodegradation. Waste bio-materials extend a budding alternative as low-cost adsorbent to address the removal of noxious pollutants from wastewater on account of being cost-effective and exhibiting exceptional adsorption capacities. The current exploration was accomplished to gauge the performance of raw and modified human hair concerning lead scavenging in a down-flow fixed bed column. The appraisal of column performance under varying operational parameters encompassing bed height (15–45 cm), influent metal ion concentration (60–140 mg L−1), and a solution flow rate (20–40 mL min−1) was performed by breakthrough curve analysis. The consequences acquired were evaluated using the Yoon Nelson, Thomas, Adam-Bohart, and Bed Depth Service Time (BDST) model. Among these employed models, Bed Depth Service Time (BDST) and Thomas models exhibited the highest R-squared value compared to the Yoon Nelson and Adam-Bohart's model for most cases. In addition, the optimization of lead adsorption was followed using the Box-Behnken design of response surface methodology (RSM). The optimal conditions (desirability-1.00) for achieving a goal of maximum percent removal of lead ions were marked to be a bed height of 42.79 cm, solution flow rate of 20.92 mL min−1, and an initial metal concentration of 139.51 mg L−1. Under these optimized conditions, the percent amputation of lead in a fixed bed was observed to be 82.31 %, while the results of the experiment performed approximately under these optimized conditions revealed a percent removal of 85.05 %, reflecting a reasonable conformity with values acquired through Box-Behnken design.

Continuous flow column adsorption and desorption for the study of interaction of fluoroquinolone antibiotic ofloxacin hydrochloride with ZnO and CuO nanometal oxides in aqueous solution: (Continuous column adsorption desorption)

Broad-spectrum antibiotic, major veterinary medicines, due to large consumption and inappropriate disposal contribute a major part in generation of pharmaceutical pollutants in aquatic environment. The study investigates the interaction of nanometal oxides for adsorption and desorption of Fluoroquinolone antibiotic, ofloxacin hydrochloride from aqueous solution using vertical and sequential bed adsorption columns: designing parameters of adsorption column determined using bed depth service time model. To optimize the continuous flow column adsorption, varying initial drug concentration and flow rates have been studied using ZnO and CuO nanoparticles at pH 4, already determined for optimized batch studies. To access the characteristic behaviour of breakthrough curves, Thomas model and Yoon-Nelson models have been studied, which were in good agreement with experimental data. Sequential bed column shows slightly better results than vertical bed column as the sequential bed is simple and economical, the solution flows in continuous manner under gravity without any mechanical devices and come into contact with fresh adsorbent bed having same amount as that in vertical bed. Therefore sequential bed column can consider in small scale industries for pharmaceutical wastewater treatment. Column desorption experiments have also been carried out by using HCl/NaOH as desorbing agent for the regeneration of drug loaded adsorbent column.

The Utilization of Chicken Egg White Waste-Modified Nanofiber Membrane for Anionic Dye Removal in Batch and Flow Systems: Comprehensive Investigations into Equilibrium, Kinetics, and Breakthrough Curve.

This study investigated the use of chicken egg white (CEW) waste immobilized on weak acidic nanofiber membranes for removing the anionic acid orange 7 (AO7) dye in batch and continuous flow modes. Different experiments were conducted to evaluate the effectiveness of CEW-modified nanofiber membranes for AO7 removal, focusing on CEW immobilization conditions, adsorption kinetics, and thermodynamics. The CEW-modified nanofiber membrane (namely NM-COOH-CEW) exhibited a maximum AO7 adsorption capacity of 589.11 mg/g within approximately 30 min. The Freundlich isotherm model best represented the equilibrium adsorption data, while the adsorption kinetics followed a pseudo-second-order rate model. Breakthrough curve analysis using the Thomas model and the bed depth service time (BDST) model showed that the BDST model accurately described the curve, with an error percentage under 5%. To investigate AO7 elution efficiency, different concentrations of organic solvents or salts were tested as eluents. The NM-COOH-CEW nanofiber membrane exhibited promising performance as an effective adsorbent for removing AO7 dye from contaminated water.

The influence of activated carbon fiber paper structure on adsorption performance of cyclohexane

Activated carbon fibers paper (ACFP), made through wet-laid technology, had exhibited promising adsorption performance compared with granular and powdered activated carbon. This study prepared activated carbon fibers papers with different fibrous structures and investigated the dynamic adsorption performance of thin-layered ACFP against cyclohexane gas. The effects of inter-fiber pore size, dilution degree of activated carbon fibers, and porosity of the paper sheet on the adsorption performance were explored. The Bed Depth Service Time (BDST) model was employed for fitting and calculation, and the Flowdict module in Geodict software was used to analyze the flow field within the paper sheet. The results indicated that the inter-fiber pore size variation of ACFP had no significant effect on its adsorption breakthrough curve against cyclohexane gas. However, as the dilution degree of activated carbon fibers in the ACFP increased, the breakthrough time prolonged, and the adsorption utilization efficiency of activated carbon fibers continuously improved. Furthermore, decrease of ACFP porosity significantly impaired the adsorption performance. When the porosity decreased from 95.4 % to 91.4 %, the breakthrough adsorption capacity decreased from 134 mg/g to 95 mg/g, and the critical bed thickness increased from 0.029 cm to 0.044 cm.

The Removal of As(III) Using a Natural Laterite Fixed-Bed Column Intercalated with Activated Carbon: Solving the Clogging Problem to Achieve Better Performance

Natural laterite fixed-bed columns intercalated with two types of layers (inert materials, such as fine sand and gravel, and adsorbent materials, such as activated carbon prepared from Balanites aegyptiaca (BA-AC)) were used for As(III) removal from an aqueous solution. Investigations were carried out to solve the problem of column clogging, which appears during the percolation of water through a natural laterite fixed-bed column. Experimental tests were conducted to evaluate the hydraulic conductivities of several fixed-bed column configurations and the effects of various parameters, such as the grain size, bed height, and initial As(III) concentration. The permeability data show that, among the different types of fixed-bed columns investigated, the one filled with repeating layers of laterite and activated carbon is more suitable for As(III) adsorption, in terms of performance and cost, than the others (i.e., non-intercalated laterite; non-intercalated activated carbon, repeating layers of laterite and fine sand; and repeating layers of laterite and gravel). A study was carried out to determine the most efficient column using breakthrough curves. The breakthrough increased from 15 to 85 h with an increase in the bed height from 20 to 40 cm and decreased from 247 to 32 h with an increase in the initial As(III) concentration from 0.5 to 2 mg/L. The Bohart–Adams model results show that increasing the bed height induced a decrease in the kAB and N0 values. The critical bed depths determined using the bed depth service time (BDST) model for As(III) removal were 15.23 and 7.98 cm for 1 and 20% breakthroughs, respectively. The results show that the new low-cost adsorptive porous system based on laterite layers with alternating BA-AC layers can be used for the treatment of arsenic-contaminated water.

Potential removal of arsenite from contaminated water using a fixed bed column packed with TiO2-impregnated pomegranate peel powder

A dynamic biosorption of arsenite in a fixed bed column packed with TiO2 impregnated pomegranate peel (PP@TiO2) has been investigated in this work, which is important to identify the effectiveness and affordability of an adsorbent in actual practice. To create an active adsorption site for As (III) ions, pomegranate peel powder (PP) was impregnated with TiO2. Under various operating parameters, the performance of a column packed with PP@TiO2 for adsorbing As (III) ions was evaluated. Breakthrough curve modelling showed that the bed depth service time (BDST) and Thomas models agreed well with the experimental data. The maximum column capacity of PP@TiO2 using the Thomas model was found to have resembled experimental value with high values of coefficient of determination. Therefore from these results, we may anticipate that PP@TiO2 can be a strong contender for the treatment of wastewater that has traces amount of the As (III) ion in a fixed bed system.

Clay-moringa seedcake composite for removal of cationic and anionic dyes

The present study investigated the potential of a composite prepared from kaolinite clay and moringa seedcake in removing methylene blue (MB) and acid orange-7 (AO-7) dyes from aqueous solutions using batch and column tests. The composite was modified using different chemicals during the synthesis process, and the composites were characterised using different techniques such as FTIR, SEM-EDS and XRD. Characterisation showed the presence of actively charged functional groups and porous structure on the composites prepared. Batch tests were performed to assess the effect of operating conditions such as adsorbent dosage, pH, initial dye concentration and contact time. NaOH-modified and H2SO4/NaOH-modified composites demonstrated the highest adsorption capacities for AO-7 and MB, respectively, and were selected for subsequent studies. The adsorption process of dye was best fitted by the Freundlich isotherm and pseudo-second-order kinetic models suggesting that the sorption of MB and AO-7 onto the composites is a heterogeneous, multilayer chemical adsorption process. Long-term fixed-column tests were conducted with the composites to assess the impact of flow rate, bed depth and initial dye concentration on the dye removal efficiency. Optimum removals of 86 and 94%, respectively at pH 2 and pH 10 were obtained for AO-7 and MB in batch tests, along with adsorption capacities of 205.65 and 230.49 mg/g for AO-7 and MB. Results from the column tests were best explained by the Clark model and the Bed Depth-Service Time model. Competing ions impacted the removal of AO-7, while no significant effect was found for MB. The composites could be reused up to four cycles without significantly affecting the adsorption capacity. The present study thus shows the potential of the composite for removal of both the dyes.

Fixed-bed column sorption kinetic rates on the removal of both biochemical oxygen demand (BOD5) and chemical oxygen demand (COD) in domestic greywater by using palm kernel activated carbon

Abstract The increasing organic loads, specifically biochemical oxygen demand (BOD5) and chemical oxygen demand (COD), in water bodies has necessitated greywater treatment before disposal. Limited studies have explored sorption kinetics of BOD5 and COD removal using activated carbon from palm kernel shell in fixed-bed columns. This study investigated continuous sorption using activated carbon from palm kernel in removing BOD5 and COD from domestic greywater. The activated carbon had a density of 0.46 g cm−3 and a surface area of 584 m2 g−1. The experiment was conducted in a 37 cm high, 2.5 cm diameter Perspex column, with varying flowrates of 5–15 mL min−1, and bed depths of 10, 15, and 20 cm. Greywater with BOD5 concentration of 251 mg L−1 and COD of 421 mg L−1 was used for this study. Effluent was collected at specified time intervals, analyzed for BOD5 and COD, and fitted to the Thomas, Yoon–Nelson, Adams–Bohart, and Bed Depth Service Time (BDST) models. The Yoon–Nelson model exhibited good agreement, as compared to Thomas and BDST while the Adams–Bohart model showed lower fit. The adsorbent demonstrated sorption capacities of 34 mg g−1 for BOD5 and 56 mg g−1 for COD, suggesting its potential for greywater treatment, particularly in BOD5 and COD removal.

Recovery of green solvent contaminated with petroleum hydrocarbons by selective adsorption onto granular activated carbon

Ethyl lactate (EL) has served as a promising green solvent for oil extraction from drill cuttings wastes. Its high commercial price and huge volume consumption currently pose a constraint regarding operational costs and environmental burdens. Therefore, this work aims to propose the adsorption by granular activated carbon (GAC) as a facile method for recycling the spent EL contaminated with oil. The results from batch experiments revealed that the adsorption of oil in EL was favorable and endothermic, reaching the maximum oil adsorptive capacity of 1053 mg g−1 at 35 °C. The adsorption process was best described by the Freundlich isotherm and pseudo-first order kinetic models. Oil adsorption mechanisms were mainly controlled by film diffusion, hydrophobic interaction, and coalescence. The competitive adsorption of EL onto GAC through hydrogen bonding and covalent bonding was also observed. For column adsorption, all breakthrough curves were well explained by Clark and bed depth service time models. The maximum breakthrough removal efficiency of 99.3% was achieved from the flow rate of 1 mL min−1, initial oil of 500 mg L−1 and bed height of 12 cm. The spent GAC was regenerated by heating at 350 °C, provided with a regeneration efficiency of 95% after five adsorption-desorption cycles. The payback period of using EL extraction and recovery was estimated at 1.8 years, considering secure landfill as a baseline. These findings prove the industrial applicability of GAC adsorption for solvent recovery and promote EL as a more economically feasible solvent for greener management of oil-contaminated drill cuttings.

Experimental validation of bed depth service time model using vapor adsorption bed for coolant purification system of fusion research

A breeding blanket system breeds tritium for fuel, and the system heat is removed by a helium cooling system in the fusion reactor. A Coolant Purification System (CPS) is an ancillary system that removes tritium and impurities from the coolant so that the levels of tritium and impurity in a helium cooling system remain within design requirements. The CPS consists of an oxidation bed that oxidizes Q2 (H, D, T) to Q2O, respectively, an Ambient Molecular Sieve Bed (AMSB) that adsorbs oxidized Q2O, a reduction bed that reduces Q2O back to Q2, and a heated getter bed that removes other impurities. An AMSB filled with zeolite has excellent vapor adsorption at room temperature, and is used semi-permanently by repeating adsorption and regeneration through a pressure–temperature swing adsorption process. In this work, an experimental study on the vapor adsorption and desorption of AMSB was conducted with research apparatus for vapor adsorption and desorption. The purpose of this study was to identify the adsorption and desorption characteristics of an AMSB with various geometries and operation conditions of vapor concentration and flow rate, and to verify its performance. The experimental results were analyzed by applying the bed depth service time model. Through such analysis, real-scale operating conditions could be predicted from the scaled-down test results, and this could be used for code validation of CPS in the future.

Rhenium recovery from highly concentrated sulfuric media using AMR anionite in column mode

The paper deals with the study of rhenium recovery by AMR anionite from model high-acidic sulfuric solution as well as its desorption by ammonia solution in column experiments. Total dynamic exchange capacity was calculated. Experimental data were processed using the Thomas, Yoon-Nelson and Bed Depth Service Time models, basic parameters were calculated. It was found that total dynamic exchange capacity calculated by Thomas fit was the closest to the experimental value. Rhenium desorption was examined using ammonia solution. Rhenium recovery degree and concentration factor were calculated. The elution curve featured a clear peak that allows producing eluate with high rhenium concentration. The presented results may be used when designing technologies for rhenium sorption from different process solutions and during recycling rhenium-containing alloy wastes.

Continuous fixed-bed adsorption of reactive azo dye on activated red mud for wastewater treatment-Evaluation of column dynamics and design parameters

Continuous adsorption of Remazol Brilliant Blue (RBB) dye in water onto sulfuric acid activated red mud (CATRM) in a fixed bed column was investigated. Breakthrough curves were obtained experimentally by varying the bed height (Z), influent flow rate (Q), and dye concentration(C0). The adsorption efficiency in the removal of RBB was favored at lower C0, higher Z, and lower Q. The maximum adsorption capacity of the activated red mud bed in the column was obtained at C0 = 70mg/L, Z = 8cm, and Q = 5mL/min and found to be 106mg/g. Important parameters of column dynamics and design such as mass transfer zone (MTZ) and length of unused bed (LUB) were evaluated from the breakthrough curves. The MTZ and LUB have varied with varying Z, which indicated the existence of nonideal conditions. Thomas model was found to be valid to predict the column dynamics and the model parameters were evaluated. Bed depth service time (BDST) model parameters were evaluated to facilitate the determination of packed bed height for the design of packed bed adsorption column. The bed could be regenerated with NaOH solution with desorption efficiency decreasing from 83.8 to 55.72% from the first to third cycle. A fixed bed of CATRM can be effectively used for continuous dye removal from industrial wastewater.

Bench-scale integrated bone and biochar bed treatment of geogenic fluoride contaminated groundwater from Bongo in Ghana

The article explores the adsorption of fluoride in groundwater and the synergistic properties of a mixture of bone char and biochar. The bone char and biochar were produced using cattle bones and coconut husks, bamboo, neem tree and palm kernel in a locally constructed double-barrel retort with particle size ranging from 0.05 to 0.315 mm. The morphology of the char was examined using a scanning electron microscope and energy dispersive spectroscopy for elements. The surface functional groups were assessed by Fourier-transform infrared spectroscopy. Almost all the fluoride was removed from the groundwater within 15–27 min of column treatment. Cattle bone char standalone treatment was the most effective adsorbent, with a removal rate of 91.4%, which is almost identical to the integrated removal rate of 91.1% for bone char and coconut husk biochar. The presence of the hydroxyapatite groups in the bone char together with the high surface areas of the chars increased the integrated bed's effectiveness in lowering fluoride concentrations in contaminated groundwater from 3.6 mg/L to 1.5 mg/L with an adsorption capacity of 0.084 mg/g. The breakthrough curves were predicted with the bed depth service time model under the same operational conditions. The integrated bed showed almost 100% efficacy in removing fluoride from contaminated groundwater with a 3.6 mg/L fluoride concentration within a breakthrough time of 15–27 min. This was due to the interplay between the chars' high surface areas and the hydroxyapatite groups in the bone char, which enhance adsorption and the synergistic effect of the integrated char.

Modeling Date Palm Trunk Fibers (DPTF) Packed Bed Adsorption Performances for Cadmium Removal from Aqueous Wastewater

In this study, the potential of a low-cost bio-adsorbent, taken directly from Date Palm Trunk Fibers (DPTF) agricultural wastes, for cadmium ions removal from wastewaters is examined. The performances of this adsorbent are evaluated by building breakthrough curves at different bed heights and flow rates while keeping other parameters, such as the initial feed concentration, pH, and particle size, constant. The results indicate that the maximum cadmium adsorption capacity of DTPF can be obtained from the Thomas model as 51.5 mg/g with the most extended mass transfer zone of 83 min at the lowest flow rate at 5 ml/min. The saturation concentrations (NO) and the rate constant (kab) obtained from the BDST (bed depth service time) model are 7022.16 mg/l and 0.0536 l/mg.min, respectively. Using the Yon-Nelsen Model, it is found that operating at a lower flow rate leads to a larger value of the elapsed needed time to reach a 50% breakthrough. The Wolborska model indicates that the bed capacity increases with decreasing the flow rate, and the adsorbent can achieve a greater external mass transfer kinetic coefficient (2.271/min) at a higher flow rate.

Adsorption of Safranin dye, an emerging contaminant from wastewater by modified bamboo (Bambusa Tulda): Characterization and column model analysis

AbstractA fixed‐bed column study was studied to assess the performance of sodium bicarbonate modified Bambusa Tulda to remove Safranin from wastewater. Fourier Transform Infrared Spectroscopy analysis shows the existence of carboxyl as well as hydroxyl bonding and grouping. Scanning Electron Microscope analysis shows the enhanced structure of Bambusa Tulda before and after chemical modification, and Energy dispersive X‐ray analysis shows the existence of Na, O after chemical modification with sodium bicarbonate. The maximum removal was found at higher bed depth and low flow rate. The breakthrough analysis time and exhaust time increase with an increase in bed height. At 5 ml/min flow rate, with initial concentration of 50 mg/L and bed height of 15 cm of adsorbent, shows best removal rate of safranin dye in column analysis. The Bed Depth Service Time (BDST) model and Thomas model analysis remained similar with experiment results, which indicates that they are suitable for the design of column study. It is being concluded that sodium bicarbonate modified Bambusa Tulda is an effective, low cost and readily available adsorbent for the adsorption of Safranin from wastewater.

Modeling of the As (III) adsorption using Fe impregnated polyethylene terephthalate char matrix: A statistical approach.

The present research aimed to analyse the impact of economical Fe impregnated polyethylene terephthalate (PET) char (PETC-Fe) for adsorption of As (III) through series of column experiments. For an inlet arsenite concentration of 1,000 μg/L, PETC-Fe exhibits excellent uptake capacity of 1,892 μg/g. Central composite design (CCD) in response surface methodology (RSM) was used to evaluate the influence of various process variables on the response function (breakthrough time) for optimization and assessment of interaction effects. The breakthrough time is more responsive to influent As (III) concentration and bed height than inlet flow rate, according to the perturbation plot. Adams-Bohart, Bed Depth Service Time (BDST) model, and Thomas models were used to model the dynamics of the adsorption system. The BDST model suited the experimental data well in the early part of the breakthrough curve, but there were minor variations over the breakpoints. Despite the fact that the experimental values and the data sets estimated using the Adams-Bohart model followed a similar pattern, they differed slightly. The PETC-Fe was found to be a sustainable and highly economical adsorbent, with a desorption performance of more than 97%, indicating the adsorbent's reusability. This adsorbent's excellent As (III) uptake capacity and regeneration performance imply that it might be used in industrial/domestic applications, and the information obtained could aid in future scaling up of the adsorption system.

Experimental and modeling of fixed-bed column study for phenolic compounds removal by graphite oxide

Removal of phenol and bisphenol A by cost-effective graphite oxide was investigated in continuous column experiments. The parameters of the column process were investigated at different bed heights (0.50, 1.50, and 4.50 cm) and different flow rates (1.06, 0.50, and 0.25 mL min−1). The initial concentration was fixed at 4.70 mg L−1. The phenolic-compounds removal was optimized in the column with a high bed height and a low flow rate. The experimental data under various conditions were well fitted to the Thomas and El Naas kinetic models. The experimental fixed-bed capacities were better fitted by the nonlinear fixed-bed capacities than the linear values, validating the nonlinear Thomas model. Furthermore, the El Naas method determined the 50 % breakthrough time of the phenolic compounds with a very low percentage error. The bed-depth service time (BDST) models of phenol and bisphenol A removal were successfully scaled up to continuous experiments with no need for further experimental data and analysis.

A fixed-bed column study of solid waste-based calcium silicate hydrate for the phosphate removal

Abstract The calcium silicate hydrate (CSH) was synthesized from the solid waste residue (SWR) of the Alum Factory, and was used for phosphate abatement from an aqueous solution. Fixed-bed column adsorption experiments were conducted at different flow rates (5, 7.5, and 10 mL/min) and bed depths (6, 9, and 12 cm) at an initial pH and phosphate concentrations of 5 and 5.5 mg/L, respectively. The breakthrough curve analysis was developed and tabulated for the effects of the flow rate and bed depth. Fixed-bed adsorption models, namely the Thomas model, the Yoon–Nelson model, and Bed Depth Service Time (BDST) model were fitted to the experimental data. The R2 values observed for the Thomas model and the Yoon–Nelson model were 0.96 and 0.98, respectively, at the flow rate of 7.5 mL/min and bed depth of 9 cm with the breakthrough adsorption capacity of 5.67 mg/g. The synthesized CSH was also tested for its phosphate removal efficiency using local wastewater treatment plant effluent. About 1,658 mL of real wastewater was treated for 249 min before the standard threshold limit (1 mg/L) was reached. This study prevails that the synthesized CSH could be applied to remove phosphate from real wastewater under a continuous flow adsorption system.