Cost Recovery Research Articles

Continuous recovery of lithium and boron from Jezechake Salt Lake brine using fixed-bed adsorbers

Jezechake Salt Lake brine in China is rich in lithium ions coexisting with relatively high concentrations of carbonate and borate anions. Both carbonate and borate anions have a pH-buffering ability to accept the exchanged H+ ions of lithium ion sieves, enhancing the adsorption process of Li+ ions. When Jezechake Salt Lake brine passes through a titanium-type ion-sieve-packed column, good lithium breakthrough occurs owing to the pH-buffering action in the brine, which is of great significance for effective lithium recovery from brines in industrial production. In addition, the boron content of Jezechake Salt Lake brine is high, and its recovery is valuable for industrial applications. Here, an N-methylglucamine resin-packed column was connected in series behind a titanium-type ion-sieve-packed column to obtain boron simultaneously with the aim of lowering the energy consumption and cost of lithium recovery. During the adsorption process, Jezechake Salt Lake brine was successively fed into the lithium and boron adsorption columns. The two packed columns were then desorbed independently through acidic solution washing to obtain the Li and B eluents. The breakthrough behavior and elution performance of Li and B in the packed columns were investigated experimentally, and the practicability and efficacy of the proposed process were assessed.

SOME PROBLEMS AND THEIR SOLUTIONS IN THE FULL PROVISION OF JUSTICE IN PROCEDURAL LEGAL NORMS

In this article, the author talks about the importance of expenses in criminal proceedings, their application, and the procedure for recovery of costs. A number of proposals and recommendations have also been developed.

Viscosity Analysis of Copper Aluminium Manganese (CuAlMn) Shape Memory Alloy Mixed with Polyethylene Glycol (Peg), Polymethyl Methacrylate Acrylic (Pmma) and Stearic Acid (Sa) Based Binder

Shape memory alloys (SMAs) are a class of smart materials that have the unusual feature of remembering the initial shape after plastic deformation. SMAs differ from traditional elastic/plastic materials in because of reversible hysteretic thermos mechanical behavior. Copper (Cu) based shape memory alloys are the most promising in terms of practical application due to their inexpensive cost and high recovery force. Powder injection molding (PIM) is well known for the creation of complex components (micro parts) and Copper Aluminium Manganese (CuAlMn) materials are studied through this process. The rheological behavior of the feedstock needs to be determined to avoid any nonhomogeneous mixture between powder and binder that may result in powder and binder separation during the injection molding process. This work focused on the rheological properties of CuAlMn with a binder system of polyethylene glycol (Peg), polymethyl methacrylate acrylic (Pmma) and stearic acid (Sa). The critical powder volume percentage of composite was at 85wt% Cu, 12wt% Al and 3wt% Mn was obtained. Based on such value, the powder loadings used in this work was 58wt% mixed with 73wt% Peg, 12wt% Pmma and 5wt% Sa. A capillary rheometer was employed for the rheological studies where the relationship between shear rate and viscosity was investigated. There were 3 variant temperatures (115℃, 125℃ and 135℃) and 4 loads (40N, 50N, 60N and 70N) applied for the rheology test. The obtained result shows that the overall shear rate and viscosity are within the PIM process recommended range and flow index is below 1. This shows pseudoplastic behavior of the feedstock.

Cost-effectiveness of severe acute malnutrition treatment delivered by community health workers in the district of Mayahi, Niger

BackgroundA non-randomized controlled trial, conducted from June 2018 to March 2019 in two rural communes in the health district of Mayahi in Niger, showed that including community health workers (CHWs) in the treatment of severe acute malnutrition (SAM) resulted in a better recovery rate (77.2% vs. 72.1%) compared with the standard treatment provided solely at the health centers. The present study aims to assess the cost and cost-effectiveness of the CHWs led treatment of uncomplicated SAM in children 6–59 months compared to the standard national protocol.MethodsTo account for all relevant costs, the cost analysis included activity-based costing and bottom-up approaches from a societal perspective and on a within-trial time horizon. The cost-effectiveness analysis was conducted through a decision analysis network built with OpenMarkov and evaluated under two approaches: (1) with recovery rate and cost per child admitted for treatment as measures of effectiveness and cost, respectively; and (2) assessing the total number of children recovered and the total cost incurred. In addition, a multivariate probabilistic sensitivity analysis was carried out to evaluate the effect of uncertainty around the base case input data.ResultsFor the base case data, the average cost per child recovered was 116.52 USD in the standard treatment and 107.22 USD in the CHWs-led treatment. Based on the first approach, the CHWs-led treatment was more cost-effective than the standard treatment with an average cost per child admitted for treatment of 82.81 USD vs. 84.01 USD. Based on the second approach, the incremental cost-effectiveness ratio of the transition from the standard to the CHWs-led treatment amounted to 98.01 USD per additional SAM case recovered.ConclusionsIn the district of Mayahi in Niger, the CHWs-led SAM treatment was found to be cost-effective when compared to the standard protocol and provided additional advantages such as the reduction of costs for households.Trial registration: ISRCTN with ID 31143316. https://doi.org/10.1186/ISRCTN31143316

Influence of Structural Discontinuity on Slope Stability using Numerical Modelling and Sirovision

The rock mass consists of heterogeneous and anisotropic materials, with smaller and larger blocks of rock, and the presence of structural discontinuities is a significant concern. Characterising the rock mass is crucial for the success of engineering excavations in such areas. A detailed study of joints, their orientation, and discontinuities in the exposed rock mass is crucial as they greatly influence stability and fragmentation. Existing rock mass classifications like Rock Mass Rating (RMR) and Q-classification require various geological parameters and physico-mechanical properties of the rock. However, determining these parameters conventionally can be time-consuming, requiring careful on-site measurements. The number of opencast coal mines is increasing compared to underground mines due to shorter gestation periods, higher productivity, and quicker returns. However, opencast mining raises environmental concerns such as air and water pollution, solid waste management, land degradation, and socio-economic issues. Additionally, many opencast coal mines, regardless of size, are reaching greater depths, making analysing bench slopes and ultimate pit slope design crucial. Slope failure in these mines leads to production loss, additional costs for recovery and handling of failed material, pit dewatering, sometimes mine abandonment or premature closure, and loss of life. A study was conducted at Prakash Khani Opencast Mine – IV, Manuguru area, M/s The Singereni Company Collieries Limited (SCCL), to investigate the influence of structural discontinuities on slope stability. SIROVISION software was used to assess rock mass characterisation, while PLAXIS-2D software was employed to analyse the influence of structural discontinuities on slope stability. A comparative conclusion was drawn based on the results obtained from SIROVISION and PLAXIS-2D analyses. The study revealed that the RMR of the mine ranged from very poor to fair due to numerous discontinuities. It was also found that discontinuities in the slope decrease the Factor of Safety (FOS), indicating an impact on slope stability.

A guide to residential energy storage and rooftop solar: State net metering policies and utility rate tariff structures

Federal and state decarbonization goals have led to numerous financial incentives and policies designed to increase access and adoption of renewable energy systems. In combination with the declining cost of both solar photovoltaic and battery energy storage systems and rising electric utility rates, residential renewable adoption has become more favorable than ever. However, not all states provide the same opportunity for cost recovery, and the complicated and changing policy and utility landscape can make it difficult for households to make an informed decision on whether to install a renewable system. This paper is intended to provide a guide to households considering renewable adoption by discussing relevant factors that influence renewable system performance and payback, summarized in a state lookup table for quick reference. Five states are chosen as case studies to perform economic optimizations based on net metering policy, utility rate structure, and average electric utility price; these states are selected to be representative of the possible combinations of factors to aid in the decision-making process for customers in all states. The results of this analysis highlight the dual importance of both state support for renewables and price signals, as the benefits of residential renewable systems are best realized in states with net metering policies and above-average electric utility rates.

Transportable energy storage assisted post-disaster restoration of distribution networks with renewable generations

More frequent extreme weather events due to climate change impose significant challenges on the post-disaster restoration of distribution systems with significant penetration of renewable generations. To address this challenge, this paper investigates a restoration scheme for distribution networks integrated with renewable generations, and transportable energy storage systems moving along a transportation network, such as railway or road network, are used to support the network restoration after the fault event. To achieve this, for given fault conditions, topological reconfiguration is first facilitated via the soft open point (SOP) technology, and local renewable generators and loads are rapidly regrouped to form microgrids for post-disaster restoration. Then, assisted with transportable energy storage, the resources within the microgrids can be dispatched more efficiently, facilitating a more efficient post-disaster recovery process. To enable a cost-effective restoration of the distribution network, an economic model is formulated with the aim of minimizing the economic losses during the post-disaster restoration process. Case studies considering a significant number of failure scenarios show that the proposed transportable energy storage-assisted restoration scheme can effectively minimize costs during the post-disaster period considering various load types across different areas. This scheme not only achieves cost-effective post-disaster restoration but also ensures compliance with the constraints of the electrical networks, achieving up to 93.3% recovery cost reduction and 74.25% increase in critical load restoration.

Performance and economic analysis of a molten salt furnace thermal energy storage and peaking system coupled with thermal power units for iron and steel gas waste heat recovery

A new peaking system utilizing a molten salt furnace energy storage system coupled with a blast furnace gas thermal power unit in a steel mill is proposed, which stores excess blast furnace gas thermal energy in molten salt and releases the thermal energy for power generation during peak power demand. The heating efficiency of 74.57% is experimentally verified by building a molten salt furnace, and a 135 MW blast furnace gas thermal power unit is simulated using modeling to explore the energy storage and peak shifting performance and economic feasibility of the system. The results show that during the charging phase, the system can recover up to 9.361 t/h of standard coal, increasing the low valley regulation ratio to 20.31% with the increase of extraction rate. During the discharging phase, the system can provide an additional 17.42 MW of generating power, with a peak modulation ratio of 12.90%. The exergy losses from the combustion process dominates the overall system exergy losses with a maximum of 21.00 MW, followed by the exergy from the turbine, which occupies 18.42% of the input energy. The cycle efficiency of the system is up to 63.54%, and the molten salt temperature has a more significant impact on the system performance than the molten salt flow rate. The economic feasibility analysis yields a peaking capacity cost of $74.28/kWh for the modified system. The system will complete 100% recovery of the investment cost in 4.90 years, and thereafter, the annual profit is more than $3.71 Million. The peaking hours and regional electricity price are the main factors affecting the system. The effect of critical factors on the payback years of the system was further explored, and the payback years remains within 8 years only when the molten salt temperature is above 500 °C and the molten salt flow rate exceeds 400 t/h.

Probabilistic framework for quantifying infrastructure systems’ resilience against floods

ABSTRACT This manuscript proposes a probabilistic framework to quantitatively assess communities’ resilience by simulating the state and serviceability of their infrastructure systems from the onset of a flood until the end of recovery. It comprises multiple interconnected models. Hazard model characterizes flood parameters (e.g., depth and velocity). Depth-damage curves estimate the damage to infrastructure systems’ components. The HEC-FIA mortality model characterizes the flood-induced casualties. Serviceability models determine the ability of interdependent infrastructure systems to meet the demand during the recovery process. The recovery models estimate the recovery duration and cost of damaged components probabilistically. The Monte Carlo analysis is employed to consider multiple relevant uncertainties, generating distributions of the flood-induced losses under various scenarios. The ratio of total losses to the gross regional product characterizes the community’s resilience. This framework facilitates the assessment of the impact of various resilience enhancement measures, guiding the selection of appropriate measures through a cost-benefit analysis.

Efficacy and Safety of Medical Thoracoscopic Bulla Volume Reduction in the Treatment of Chronic Obstructive Pulmonary Disease Combined With Giant Emphysematous Bullae

To explore the efficacy and safety of medical thoracoscopic bulla volume reduction for the treatment of chronic obstructive pulmonary disease (COPD) combined with giant emphysematous bullae (GEB). A total of 66 patients with COPD combined with GEB were enrolled in the study. All the subjects received treatment at Zhengzhou Central Hospital affiliated with Zhengzhou University between March 2021 and December 2022. The subjects were divided into two groups, a medical thoracoscope group consisting of 30 cases treated with medical thoracoscopic bulla volume reduction and a surgical thoracoscope group consisting of 36 cases treated by video-assisted thoracoscopic surgery. All patients were followed up before discharge and 3 months and 6 months after discharge. The preoperative and postoperative levels of the pulmonary function, 6-minute walk distance (6MWD), and St. George's Respiratory Questionnaire (SGRQ) scores and differences in postoperative complications were compared between the two groups. The operative duration, postoperative length-of-stay, and surgical costs and hospitalization bills, and the maximum visual analog scale (VAS) pain scores at 24 h after the procedure were assessed. The baseline data of the two groups were comparable, showing no statistically significant difference. The forced expiratory volume in 1 second (FEV1) 6 months after the procedures improved in both the medical thoracoscopy group ([0.78±0.29] L vs. [1.02±0.31] L, P<0.001) and the surgical thoracoscopy group ([0.80±0.21] L vs. [1.03±0.23] L, P<0.001) compared to that before the procedures. Improvements to a certain degree in 6MWT and SGRQ scores were also observed in the two groups at 3 months and 6 months after the procedures (P<0.05). In addition, no statistically significant difference in these indexes was observed during the follow-up period of the patients in the two groups. There was no significant difference in operating time between the two groups. The medical thoracoscopy group had shorter postoperative length-of-stay ([7.3±2.6] d) and 24-hour postoperative VAS pain scores (3.0 [2.0, 3.3]) than the surgical thoracoscopic group did ([10.4±4.3] d and 4.5 [3.0, 5.0], respectively), with the differences being statistically significant (P<0.05). Surgical cost and total hospitalization bills were lower in the medical thoracoscopy group than those in the surgical thoracoscopy group (P<0.05). The complication rate in the medical thoracoscopy group was lower than that in the surgical thoracoscopy group (46.7% vs. 52.8%), but the difference was not statistically significant. Medical thoracoscopic reduction of bulla volume can significantly improve the pulmonary function, quality of life, and exercise tolerance of patients with COPD combined with GEB, and it can reduce postoperative short-term pain and shorten postoperative length-of-stay. The procedure has the advantages of minimal invasiveness, quick recovery, and low costs. Hence extensive clinical application is warranted.

On the efficiency of energy markets with non-merchant storage

AbstractEnergy market designs with non-merchant storage have been proposed in recent years, with the aim of achieving optimal market integration of storage. In order to handle the time-linking constraints that are introduced in such markets, existing works commonly make simplifying assumptions about the end-of-horizon storage level, e.g., by imposing an exogenous level for the amount of energy to be left for the next time horizon. This work analyzes market properties under such assumptions, as well as in their absence. We find that, although they ensure cost recovery for all market participants, these assumptions generally lead to market inefficiencies. Therefore we consider the design of markets with non-merchant storage without such simplifying assumptions. Using illustrative examples, as well as detailed proofs, we provide conditions under which market prices in subsequent market horizons fail to reflect the value of stored energy. We show that this problem is essential to address in order to preserve market efficiency and cost recovery. Finally, we propose a method for restoring these market properties in a perfect-foresight setting.

Consumer Preference for Fisheries Improvement Project: Case of Bigeye Tuna in Japan

In recent years, demand for sustainable fisheries certification, also known as seafood ecolabeling, has grown worldwide, with retailers actively promoting ecolabeled seafood, mainly in Europe and the United States. However, the costs associated with assessment and maintenance are typically incurred before certification, and the potential benefits are uncertain, which deters many fisheries from entering the certification process. The Fishery Improvement Project (FIP) is a market-driven mechanism that allows a fishery to gain recognition for its sustainable management efforts aimed at achieving sustainable certification. Market differentiation of FIP-participating fisheries from conventional fisheries has the potential to generate additional benefits that may offset some of the certification costs. However, successful differentiation efforts require consumer awareness, willingness to pay a premium, and effective communication strategies. This study investigates consumer preferences for bigeye tuna sashimi in Japan using a discrete choice experiment to determine if Japanese consumers are willing to pay a price premium for FIP-participating fisheries. The analysis resulted in a significant price premium for FIP and domestic certification valued more than international brands. These findings suggest that FIP-participating fisheries have the potential for cost recovery, even during the certification process.

Distanciation as a technology of control in the UK hostile environment.

This article considers how distanciation, understood as the active production of different forms of distance as a method of control, is used to manage people racialised and criminalised as migrants within the UK's hostile environment. Analysing different policies introduced under the hostile environment agenda, as well as the more recent New Plan for Immigration, we argue distanciation is a key tactic that shapes these policies and their implementation as well as offers us insight into changing forms of governing migration. Drawing on the analysis of a wide range of policy documents, the paper attends to different forms of distanciation used as a method of control within the UK's wider hostile environment and then presents the results of a case-study of how distanciation is mobilised within the English National Health Service, under the Migrant and Visitor Cost Recovery Programme in particular, which was introduced in 2014 to ensure the NHS receives 'a fair contribution' from people racialised as migrants. Addressing different forms of distanciation such as - spatial, legal and emotional - we argue that the lens of distance can offer insights into how detachment - increasing distance between different agents in immigration law and border enforcement is an intentional design to control empathy, solidarity and resistance. Tracing ways these forms of distanciation are designed into legislative and administrative measures helps us better understand how hostile environment policies work as well as locating agencies and possibilities of resistance within different spaces, agents and subjects of bordering.

Regeneration of degraded lithium iron phosphate by utilizing residual lithium from spent graphite anode

With the fast development of lithium-ion batteries, there will be a lot of spent lithium iron phosphate (LFP) batteries in the near future. The loss of lithium in LFP leads to the capacity attenuation, while the lost lithium is mainly trapped in spent graphite anode. Herein, we proposed a closed-loop recycling method for spent LFP batteries, which utilizes the lithium from spent graphite to directly regenerate spent LFP through hydrothermal method. Compared with spent LFP, the repaired LFP displays enhanced electrochemical performance. This strategy tightly integrates the recycling of cathode and anode, which simplifies the recovery process and decreases the recovery cost.

Task-Level Checkpointing and Localized Recovery to Tolerate Permanent Node Failures for Nested Fork–Join Programs in Clusters

Exascale supercomputers consist of millions of processing units, and this number is still growing. Therefore, hardware failures, such as permanent node failures, become increasingly frequent. They can be tolerated with system-level Checkpoint/Restart, which saves the whole application state transparently and, if needed, restarts the application from the saved state; or with application-level checkpointing, which saves only relevant data via explicit calls in the program. The former approach requires no additional programming expense, whereas the latter is more efficient and allows to continue program execution after failures on the intact resources (localized shrinking recovery). An increasingly popular programming paradigm is asynchronous many-task (AMT) programming. Here, programmers identify parallel tasks, and a runtime system assigns the tasks to worker threads. Since tasks have clearly defined interfaces, the runtime system can automatically extract and save their interface data. This approach, called task-level checkpointing (TC), combines the respective strengths of system-level and application-level checkpointing. AMTs come in many variants, and so far, TC has only been applied to a few, rather simple variants. This paper considers TC for a different AMT variant: nested fork–join (NFJ) programs that run on clusters of multicore nodes under work stealing. We present the first TC scheme for this setting. It performs a localized shrinking recovery and can handle multiple node failures. In experiments with four benchmarks, we observed execution time overheads of around 44 % at 1536 workers, and negligible recovery costs. Additionally, we developed and experimentally validated a prediction model for the running times of the scheme.

ANALYSIS OF HOUSEHOLDS’ WILLINGNESS TO PAY FOR THE PROVISION OF PDAM TIRTA RAHARJA’S PIPE CONNECTION USING CONTINGENT VALUATION METHOD

Gandasari is one of the villages in Katapang Sub District, Bandung Regency. Most people in Gandasari Village use groundwater as their main water source to fulfill their needs of water. Groundwater in Gandasari Village has bad quality and quantity. Hence, the provision of a safe water supply is needed in Gandasari Village. On the other hand, Perusahaan Daerah Air Minum (PDAM) Tirta Raharja is developing their House Connection (SR) in Gandasari Village RW 5,6,7,9, and 11. Provision and management of water supply required to achieve full cost recovery. Therefore, it is necessary to know the willingness to pay (WTP) value for the provision of PDAM’s pipe connection. This study aimed to determine households’ WTP for the provision of piped water service and identify the factors affecting it. The WTP was estimated through questionnaires collected from 89 households in Gandasari Village using Contingent Valuation Method (CVM) and bidding games technique. Based on the questionnaire result, the Estimated Mean WTP (EWTP) value of WTP for installation fee is Rp961.798 and Total WTP is Rp735.775.281. Meanwhile the EWTP value of WTP for retribution fee is Rp51.180/month and TWTP is Rp39.152.528. Factors affecting the value of WTP for installation fee is household size and average income, meanwhile for retribution fee WTP value average income was the affecting factor. Provision of communal well is recommended for households who cannot afford to pay for PDAM.

Seismic retrofit cost model for Italian masonry residential buildings to support territorial-scale risk analysis

Over the last 50 years, earthquakes forced the Italian Government to pay emergency, recovery and reconstruction costs amounting to 180 billion euros, i.e., about 3.6 billion euros per year. These figures underline the poor seismic resilience of Italy and therefore the need for sustainable risk mitigation plans at national level.Within this context, this study aims to provide a seismic retrofit cost model for Italian unreinforced masonry (URM) residential buildings, to support territorial-scale risk analysis. To this end, well-established intervention techniques, suitable for being analyzed on a large scale, were selected. These interventions include strengthening of masonry walls, stiffening and anchoring of floors, improving the wall system connection, and their possible combinations. First, for each of the selected interventions, the related cost items (obtained via a work-breakdown-structure procedure) were identified. Second, their unit cost was either retrieved from Italian price lists or estimated according to market analysis ad hoc conducted. Third, a quantity-survey-method approach was implemented to a set of 445 URM buildings to estimate the retrofit costs per square meter (€/m2) of investigated retrofit interventions. Lastly, based on the estimated cost of retrofitting of these buildings, parametric cost models were developed to inform seismic risk analyses at various territorial scales, depending on the available building information (i.e., exposure data).The cost models here developed and proposed can be used to support the design of cost-effective seismic mitigation measures, i.e., to identify retrofit solutions that are technically effective but also economically sustainable at large territorial scale.

Time-band network model and binary tree algorithm for multimodal irregular flight recovery

Recovery of irregular flights caused by various reasons such as aircraft failures and airport closures is studied in this research and a multimodal time-band network model for solving the issue is proposed. It transforms the flight routing problem into a time-based network, which is used to obtain the delay and cancellation costs of each flight. With delay and cancellation costs as variables, the proposed model aims to minimize recovery costs under constraints. This research also suggests a developed binary tree algorithm, which improves the efficiency of model solving. The results show that the rescheduled flights and re-selected flight routes are at the lowest cost and helpful to achieve a balance of flight flow without affecting flight safety. This method used in this work shows its certain value in helping airlines restore flight operations in the shortest possible time and at the lowest cost, improving operational efficiency and service quality.

Mine water cooperative optimal scheduling based on improved genetic algorithm

This article addresses the issues of unreasonable water scheduling and high costs in coal mine shafts, proposing a hierarchical optimization scheduling strategy. Taking the water quality and quantity of a certain mining area in Inner Mongolia as the research object, it designs the objective function with the highest reuse efficiency and the lowest reuse cost of mine water resources, and establishes the constraint conditions of water quality and quantity for each water-using unit. In response to the problem that traditional genetic algorithms are prone to local optima, an adaptive autobiographical operator is proposed and improved based on Metropolis principle of simulated annealing algorithm. The improved algorithm is applied to the calculation of the scheduling model, and the results show that the recovery cost in the heating season is reduced by 66779.36 CNY/month, a decrease of 10.34%; the recovery cost in the non-heating season is reduced by 61469.28 CNY/month, a decrease of 9.91%. At the same time, the heating season and the non-heating season have reduced by 136.99 h/month and 154.52 h/month respectively, significantly reducing the recovery cost and time.

Peroxydisulfate activation and versatility of defective Fe3O4@MOF-808 for enhanced carbon and phosphorus recovery from sludge anaerobic fermentation

Although being viewed as a promising technology for reclamation of carbon and phosphorus from excess sludge, anaerobic fermentation (AF) grapples with issues such as a low yield of volatile fatty acids (VFAs) and high phosphorus recovery costs. In this study, we synthesized Fe3O4@MOF-808 (FeM) with abundant defects and employed it to simultaneously enhance VFAs and phosphorus recovery during sludge anaerobic fermentation. Through pre-oxidization of sludge catalyzed by FeM-induced peroxydisulfate, the soluble organic matter increased by 2.54 times, thus providing ample substrate for VFAs production. Subsequent AF revealed a remarkable 732.73 % increase in VFAs and a 1592.95 % increase in phosphate. Factors contributing to the high VFAs yield include the non-biological catalysis of unsaturated Zr active sites in defective FeM, enhancing protein hydrolysis, and the inhibition of methanogenesis due to electron competition arising from the transformation between Fe(III) and Fe(II) under Zr influence. Remarkably, FeM exhibited an adsorption capacity of up to 92.64 % for dissolved phosphate through ligand exchange and electrostatic attractions. Furthermore, FeM demonstrated magnetic separation capability from the fermentation broth, coupled with excellent stability and reusability in both catalysis and adsorption processes.