Effective Remediation Research Articles

Research progress in tolerance of petroleum hydrocarbon pollutant-degrading strains

Petroleum hydrocarbon pollution has become one of the global environmental problems, posing a serious threat to the environment and human health. Microbial remediation plays an important role in the remediation of petroleum hydrocarbon-contaminated environment. Nevertheless, the stress factors present in the environment polluted by petroleum hydrocarbons limit the effectiveness of microbial remediation. This paper reviews the common stress factors in petroleum hydrocarbon-polluted environment and the response mechanisms of microorganisms to these factors. Furthermore, we introduce the methods to improve microbial tolerance, such as irrational modification, rational modification based on systems biology tools or tolerance mechanisms, and the construction of microbial consortia. The application of these methods is expected to improve the viability and remediation efficiency of microorganisms in petroleum hydrocarbon-contaminated environment and provide new perspectives and technical support for environmental remediation.

Heterotrophic denitrification enhancement via effective organic matter degradation driven by suitable iron dosage in sediment.

The control of internal pollution was important throughout the restoration of the lake, especially the removal of sediment internal nitrogen. Experiments involving incubation were conducted in this study to investigate the effects of iron remediation on nitrogen in both water and sediment. Adding iron with varying dosage had different effects on the nutrients content and other properties of water and sediment in remediation. The higher the addition dosage of iron, the more iron ions were released into the interstitial and overlying water. The effect of 5% and 10% iron dosage on the interstitial and overlying water were more obvious, which can significantly increase the pH and decrease the ORP of the sediment, and significantly increase the TN and NH4+-N contents in overlying water. Nevertheless, higher iron addition dosage decreased relative abundance of the genera related to denitrification (Thiobacillus) and DNRA (Bacillus). The relative abundance of Anaerolineae was increased with the iron addition dosage, promoted the reduction of organic matter and iron cycle in sediment. The iron addition dosage of 2% had less effect on the overlying water quality, and promoted the nitrogen removal process by changing the abundance of microorganisms related to the sediment nitrogen cycle. This study provides essential information for internal pollution control of lakes and serves as a valuable reference for developing eutrophication management framework.

From solubility to efficiency: Per- and polyfluoroalkyl substances (PFAS) regeneration from anion exchange resins.

This study investigated the regenerability of anion exchange resins for per- and polyfluoroalkyl substances (PFAS), focusing on the interaction between regenerant composition and resin characteristics. The influence of salt type and concentration on PFAS solubility revealed a general decline in perfluorohexane sulfonate (PFHxS) solubility with increased salt concentrations, most strongly with KCl followed by NaCl and NH4Cl. Mixed solubility results were observed for perfluorooctanoate (PFOA) and perfluorooctane sulfonate (PFOS). Three resins - A592E and USA291597EPF (strong base resins) and USA21107 (weak base resin) - were evaluated using aqueous and organic solvent regenerants across multiple cycles. Batch regeneration experiments demonstrated that regeneration effectiveness was higher for short chain perfluoroalkyl carboxylates (PFCA) compared to long chain PFCA, followed by n:2 fluorotelomer sulfonates (FtS) and perfluoroalkane sulfonates (PFSA). Chloride-based salts regenerants were more effective, while the type of cation had minimal impact. Organic solvent regenerants outperformed aqueous solutions, with effectiveness increasing at higher percentages. For low organic solvent percentages, acetone demonstrated higher effectiveness compared to ethanol and methanol. Resin regenerability ranked as follows: USA291597EPF>A592E>USA21107. Flow through column studies confirmed the dependency of regeneration effectiveness on PFAS structural characteristics, with shorter chain PFCA demonstrating higher efficiency. The Lin and Huang model's parameters, time to desorb 50% of resin-associated PFAS (τ) and the column constant (kc), revealed two distinct desorption phases. The findings highlight the crucial role of regenerant composition in optimizing resin regeneration, offering valuable insights for developing more effective PFAS remediation strategies.

Phosphate-doped silica gel nanocomposites for effective uranium ion remediation from water

Phosphate-doped silica gel nanocomposites for effective uranium ion remediation from water

Microbe-assisted phytoremediation for sustainable management of heavy metal in wastewater - A green approach to escalate the remediation of heavy metals.

Water pollution from Heavy metal (HM) contamination poses a critical threat to environmental sustainability and public health. Industrial activities have increased the presence of HMs in wastewater, necessitating effective remediation strategies. Conventional methods like chemical precipitation, ion exchange, adsorption, and membrane filtration are widely used but possess various limitations. These include high costs, environmental impacts, and the potential for generating secondary pollutants, highlighting the need for sustainable alternatives. Phytoremediation, enhanced by microbial interactions, offers an eco-friendly solution to this issue. The unique physiological and biochemical traits of plants, combined with microbial metabolic capabilities, enable efficient uptake and detoxification of HMs. Microbial enzymes play a crucial role in these processes by breaking down complex compounds, enhancing HM bioavailability, and facilitating their conversion into less toxic forms. Synergistic interactions between root-associated microbes and plants further improves metal absorption and stabilization, boosting phytoremediation efficiency. However, challenges remain, including the limited bioavailability of contaminants and plant resilience in highly polluted environments. Recent advancements focus on improving microbial-assisted phytoremediation through mechanisms like bioavailability facilitation, phytoextraction, and phytostabilization. Genetic engineering facilitates the altering of genes that control plant immune responses and growth which improves the ability of plants to interact beneficially with microbes to thrive in HM rich environments while efficiently cleaning contaminated wastewater. This review examines these strategies and highlights future research directions to enhance wastewater remediation using phytoremediation technologies.

The mechanism of activity-controlled release of 2,2',4,4'-tetrabromodiphenyl degradation by polystyrene microcapsulated nanoscale zero-valent iron.

Nano zero-valent iron (nZVI) is widely used for polychlorinated biphenyl (PBDE) remediation due to its cost-effectiveness and strong reduction capacity. However, its practical application is limited by poor stability, mobility, and antioxidant performance, as well as high reactivity that leads to side reactions and activity loss. To overcome these challenges, a poly(styrene)-encapsulated nZVI (PS-nZVI) core-shell structure was developed using dispersion polymerization. The resulting 10-15 nm polystyrene coating improved antioxidation, stability, mobility, and pH resistance (pH 5-9) compared to conventional nZVI. Incorporating a controlled release agent (20% acetone) at the start and midpoint of the reaction enhanced BDE-47 removal efficiency by 2.64 and 2.02 times, respectively, achieving nearly 100% activity release. Mechanistic studies revealed that the release agent promotes microcapsule corrosion and improves nZVI-BDE-47 interaction, enhancing both removal and debromination efficiency. PS-nZVI thus mitigates activity loss during storage and transport while enabling controlled reactivity for effective remediation.

From Anatase TiO2 Nano-Cuboids to Nano-Bipyramids: Influence of Particle Shape on the TiO2 Photocatalytic Degradation of Emerging Contaminants in Contrasted Water Matrices.

Water pollution, resulting from industrial effluents, agricultural runoff, and pharmaceutical residues, poses serious threats to ecosystems and human health, highlighting the need for innovative approaches to effective remediation, particularly for non-biodegradable emerging pollutants. This research work explores the influence of shape-controlled nanocrystalline titanium dioxide (TiO2 NC), synthesized by a simple hydrothermal method, on the photodegradation efficiency of three different classes of emerging environmental pollutants: phenol, pesticides (methomyl), and drugs (sodium diclofenac). Experiments were conducted to assess the influence of the water matrix on treatment efficiency by using ultrapure water and stormwater (basic) collected from an urban drainage system as matrices. The size and shape of the nano-cuboids were accurately controlled during synthesis to assess their impact on photoactivity and selectivity. Regarding total organic carbon removal using TiO2 nano-cuboids in basic environments, the results were particularly remarkable. TiO2 nano-cuboids and truncated bipyramids synthesized in the 200-250 °C temperature range showed an enhanced photocatalytic efficiency when compared to alternative formulations. Diclofenac, methomyl, and phenol were fully mineralized from ultrapure water and basic stormwater. The TiO2 nano-cuboids/nano-bipyramids demonstrated better selectivity and photoactivity in comparison to irregular TiO2 nanoparticles. The differences in photoactivity and selectivity are explained in terms of charge carrier separation and trapping on the different crystal facets. Their performance demonstrates their potential as sustainable materials for the photodegradation of emerging pollutants in various water matrices.

Tailoring a lignocellulosic biomass to simultaneously enhance N-doping and textural properties of porous carbons designed for effective environmental remediation.

Transforming lignocellulosic biomass waste into value-added materials like porous carbons offers a sustainable and increasingly important solution for its efficient management within a circular economy framework. Although the heteroatom-doping process enhances oxygen- or nitrogen-containing functionalities on porous carbons, it often leads to losses in structural integrity and other key functionalities. This study presents a novel protocol to produce N-doped porous carbons that efficiently introduces nitrogen groups while improving surface area, microporosity definition and the concentration of oxygen-containing functionalities. This protocol involves modifying the original lignocellulosic biomass by reducing its recalcitrance and remodeling its natural composition, followed by the mixing equivalent mass of chitosan and preceding a chemical activation process Compared to the parent material, the optimized tailored porous carbons exhibited a 15% increase in surface area (1689 m2 g-1) and 13% in microporous volume, along with rises of 22% and 20% in oxygen- and nitrogen-containing functional groups, respectively. Additionally, the anchoring mechanism, modeled using Advanced Statistical Physical Models (ASPM), based on the grand canonical ensemble in statistical physics, validated the surface versatility and heterogeneity of the porous carbons. This versatility is demonstrated by their above-average adsorption capacities for chemically distinct hazardous components in aqueous matrices - methylene blue (876 mg g-1), Pb2+ (44 mg g-1) and acetylsalicylic acid (169 mg g-1) - emphasizing the potential of these N-doped porous carbons for efficient and sustainable applications in aqueous remediation processes.

Fluorescence spectroscopy as an indicator tool for pharmaceutical contamination in groundwater and surface water.

Knowledge of contaminant distribution and transport of contaminant plumes in groundwater is important for effective remediation. Tedious and expensive laboratory analyses could be supplemented with optical measurements such as fluorescence to offer a rapid alternative with the potential for on-site measurements. Here, we explore the applicability of fluorescence spectroscopy as an on-site alternative to identifying the extent of a groundwater contaminant plume in Grindsted, Denmark. We show that three abundant contaminants (sulfanilamide, sulfaguanidine, and sulfanilic acid) emit very strong, but highly similar fluorescence distinct from the naturally occurring organic matter. The limit of detection for the sum of these three contaminants was 14 and 142μg/L using benchtop measurements and handheld sensors, respectively. We demonstrate that low-volume solid-phase extractions can be a tool to lower the detection limits through the selective enrichment of contaminants. However, the co-occurrence of natural and anthropogenic fluorescent organic matter presents a significant challenge for the reliable quantification of contaminants. The high similarity between investigated fluorescent contaminants poses a significant challenge for machine learning approaches that are commonly used to increase sensitivity and selectivity. Nonetheless, the results demonstrate how fluorescence spectroscopy can be applied as a viable indicator and classification tool to identify pharmaceutical contamination in groundwater, as well as surface waters.

Integrating Zeolitic Imidazolate Framework-8 with DES-Treated Loofah Sponge for Enhanced Toluene Adsorption.

The pervasive presence of toluene in aquatic environments, primarily due to oil spills and industrial effluents, necessitates the development of effective and sustainable remediation strategies. This study introduces ZIF-8@DES-treated loofah sponge (ZIF-8@DLS), a novel adsorbent composite material, synthesized via an in situ process that integrates the high surface area of ZIF-8 with the natural loofah sponge. The composite was characterized using scanning electron microscopy (SEM), X-ray diffraction (XRD), and Fourier-transform infrared spectroscopy (FTIR), confirming the successful loading of ZIF-8 onto the loofah substrate. The adsorption capacity of ZIF-8@DLS for toluene was evaluated, achieving a maximum of 145.3 mg/g with an efficiency of 72% under standard conditions. Kinetic studies revealed that the adsorption process predominantly followed a pseudo-second-order model, indicative of chemisorption. The adsorption isotherm data were found to align more closely with the Freundlich model, suggesting a multilayer adsorption mechanism on the composite's heterogeneous surface. The ZIF-8@DLS composite demonstrates a promising synergy of high adsorption performance, cost-effectiveness, facile synthesis, and environmental benignity, positioning it as a candidate for practical applications in wastewater treatment and adsorptive separation processes.

Effect and mechanism of the moisture content on the kinetic retardation of LNAPL pollutant migration by the capillary zone.

Light nonaqueous-phase liquids (LNAPLs) are the main source of organic pollution in soil and groundwater environments. The capillary zone, with varying moisture contents, is the last barrier against the infiltration of LNAPL pollutants into groundwater and plays an important role in their migration and transformation. However, the effect and mechanism of the moisture content in the capillary zone on LNAPL pollutant migration are still unclear. Herein, to explore the effect of the moisture content on LNAPL pollutant migration, a series of sandbox migration experiments were simulated using diesel oil as a typical LNAPL pollutant and the capillary zones of fine and silty sand as research objects. Several numerical models were constructed based on the recorded migration process of LNAPL pollution fronts in the capillary zones of different media during experiments. The mechanism by which the moisture content in the capillary zone retarded LNAPL pollutant infiltration was revealed using a combination of the construction method of microstructural pores and the theory of multiphase flow. These findings unequivocally indicate that an increase in the moisture content leads to a decrease in the relative permeability of the NAPL phase in unsaturated media, which is the fundamental reason for the retarded kinetic migration of LNAPL pollutants. The results of this study lay a solid foundation for designing comprehensive and effective remediation strategies for LNAPL contamination in soil and groundwater.

Prediction of heavy metal contamination in soil-groundwater systems at contaminated sites

ABSTRACT The diffusion of heavy metal pollutants in polluted industrial areas can cause severe environmental pollution in surrounding areas. However, the migration of pollutants into groundwater is a complex process that requires consideration of local geological and hydrological conditions, solute transport, and geochemistry factors to better predict the flow paths and plume dispersion of pollutants. This study is based on numerical models of Darcy's law and the Richards equation. A numerical model is used to predict the pollution risk of a certain abandoned metallurgical site. The results indicate that the risk of heavy metal leaching is extremely high under natural conditions, potentially affecting downstream reservoirs after 1500 days. The use of permeable reactive barriers (PRBs) can effectively prevent the migration of heavy metals. However, even with PRBs, 28%–30% of pollutants may still continue to spread outward through lateral flow pathways. The use of impermeable Funnel-and-gate PRB design can effectively reduce lateral pollutant migration, reducing lateral leakage by up to 27%. Based on these results, the rational design of PRBs can effectively reduce remediation costs and time, enhance groundwater remediation effectiveness, and provide strong support for environmental protection and ecological health.

Real-time detection of powder bed defects in laser powder bed fusion using deep learning on 3D point clouds

ABSTRACT Powder bed defects are critical factors affecting the print quality and stability in Laser Powder Bed Fusion (LPBF). However, traditional 2D image-based powder bed defect monitoring methods are limited by sensitivity to lighting conditions and insufficient data capture. This study proposes a real-time defect monitoring system based on 3D point cloud data and deep learning approach. The system uses binocular vision to capture point cloud data in real time, enabling high-precision defect segmentation with advanced deep learning models. However, direct deep learning on point clouds can result in the loss of small defect features during downsampling. To address this, an indirect point cloud deep learning method based on 2D projection is introduced, which improves segmentation accuracy for small defects while reducing inference time. By deploying the trained model, this study establishes a closed-loop control system for powder bed defect detection and conducts real-world printing tests, demonstrating effective defect remediation capabilities. Although larger-scale industrial testing is still required, this research illustrates the significant potential of 3D point cloud-based deep learning in enhancing defect detection and quality control in additive manufacturing.

Response Mechanism of Plants to Cadmium Pollution in Soil

Cadmium (Cd), as a widespread heavy metal pollutant in soil, has become one of the globally recognized contaminants due to its high toxicity and bioaccumulative properties. Soil cadmium pollution not only hinders the normal growth of plants but also poses a threat to human health through the food chain. Microbe-plant combined remediation is an essential approach for the treatment of heavy metal contamination in soil. Plants primarily respond to cadmium stress through intrinsic physiological and biochemical adjustments, including inhibiting cadmium absorption, promoting cadmium compartmentalization in vacuoles, and facilitating cadmium efflux from cells. Moreover, plants enhance their tolerance to cadmium through mechanisms such as the regulation of plant hormones. Gene expression regulation is the molecular mechanism underlying plant cadmium tolerance. To date, multiple resistance genes, transcription factors, and microRNAs involved in cadmium tolerance have been identified. Exogenous additives mitigate the effects of cadmium stress on plants by chemical adsorption, enhancing plant cadmium tolerance, and improving the physical and chemical properties of the soil, as well as the structure of soil microbial communities. Investigating the mechanisms by which plants respond to cadmium stress and exploring remediation measures for cadmium pollution will provide a basis for developing effective pollution control and remediation strategies.

Catalytic Hydrolysis of Perfluorinated Compounds in a Yolk-Shell Micro-Reactor.

Perfluorinated compounds (PFCs) are emerging environmental pollutants characterized by their extreme stability and resistance to degradation. Among them, tetrafluoromethane (CF4) is the simplest and most abundant PFC in the atmosphere. However, the highest C─F bond energy and its highly symmetrical structure make it particularly challenging to decompose. In this work, a yolk-shell Al2O3 micro-reactor is developed to enhance the catalytic hydrolysis performance of CF4 by creating a local autothermic environment. Finite element simulations predict that the yolk-shell Al2O3 micro-reactor captures the heat released during the catalytic hydrolysis of CF4, resulting in a local autothermic environment within the yolk-shell structure that is 50 °C higher than the set temperature. The effectiveness of this local autothermic environment is experimentally confirmed by in situ Raman spectroscopy. As a result, the obtained yolk-shell Al2O3 micro-reactor achieves 100% CF4 conversion at a considerably low temperature of 580 °C for over 150h, while hollow and solid Al2O3 structures required higher temperatures of 610 and 630 °C, respectively, to achieve the same conversion rate, demonstrating the potential of yolk-shell Al2O3 micro-reactor to significantly reduce the energy requirements for PFCs degradation and contribute to more sustainable and effective environmental remediation strategies.

Remediation in Pediatric Residency Training: A National Survey of Pediatric Program Directors.

The goal of graduate medical education is for residents to achieve the skills and knowledge to practice medicine independently. While remediation is not uncommon in residency training, evidence is lacking to guide best practices. We conducted a national survey of pediatric residency programs regarding their remediation experiences identifying struggling residents, documentating the process, and monitoring progress during remediation. A total of 50.8% (99/195) programs responded. Approximately 4.7% of residents underwent remediation, and 91% (262/288) of residents successfully completed remediation. Programs used data from the Clinical Competency Committee (CCC; 100%), rotation evaluations (98.9%) and direct observation (96.6%) to identify residents who need remediation. Most programs used an improvement plan to document resident progress (88.8%) and assigned a mentor or coach to support the resident (88.8%). Nearly all programs used rotation evaluations (93.3%) to monitor progress towards achieving the goals of remediation. Two-thirds (66.3%) felt their remediation process was either very effective or effective, and about half (56.2%) were very satisfied or satisfied with their remediation process. Programs with more residents who successfully completed remediation were more likely to feel satisfied with their program's remediation processess and effectiveness. Nearly 5% of pediatrics residents undergo remediation, with 91% successfully remediating. Two-thirds of program leaders feel their remediation practices are effective, and only half are satisfied with remediation processes in their program. Opportunities exist to improve remediation processes for pediatric residents and for programs to ensure graduation of competent pediatricians.

Prospects of Oil Spill Remediation in the Niger Delta, Nigeria: A Case Study of Bodo Creek

Remediation of oil spill contaminated sites is very important in the actualization of the goals of the United Nations Decade on Ecosystem Restoration (UNDER) project. Conventional and artisanal oil explorations have resulted in several oil spill incidence within the Niger Delta. The volume of spilled oil in Bodo Creek was estimated to be 103,000 - 311,000 barrels. Shoreline flushing and artificial mangrove revegetation are key aspects of the remediation process. This review was done to assess the effect of the oil spill remediation on the recovery of flora and fauna in Bodo Creek. The data was mined from the literature on pre-spill, post-spill and post-remediation studies from the same study Stations in Bodo Creek. This review reported oil exploration and oil spills in the study area. The study reviewed oil spill remediation approaches as well as the highlights on the recovery trend of macroinvertebrate following oil spill remediation. Prospects of oil spill remediation including; oil degradation, improved economy, carbon sequestration and coastal protection are reported in this study. What is the correlation between oil spill remediation and the recovery of flora and fauna? We hypothesized that the remediation would result in faster recovery of macroinvertebrate. The study found that remediation results in faster recovery of macroinvertebrate. This paper concluded that further research is necessary in order to develop unique oil spill remediation approaches to serve as the template for oil spill remediation in other parts of the Niger Delta as proper oil spill remediation efforts are necessary to tackle the severe consequences of oil spills in the environment. There is a need for collaboration between the oil spill remediation agency and researchers. It is also important to publish findings from empirical studies on remediation.

Trends, challenges, and research pathways in emerging contaminants: a comprehensive bibliometric analysis.

The growing concern over environmental pollution has spurred extensive research into various contaminants impacting ecosystems and human health. Emerging contaminants (ECs), including pharmaceuticals, personal care products, endocrine-disrupting chemicals, nanomaterials, and microplastics, have garnered significant attention due to their persistence, bioaccumulation, and toxicity. This study presents a comprehensive bibliometric analysis of EC research, aiming to detail the research landscape, highlight significant contributions, and identify influential researchers and pivotal studies. Data were sourced from the Web of Science, encompassing 62,670 documents from January 2000 to May 2024. Advanced bibliometric tools, including Bibliometrix, VOSviewer, and CiteSpace, were employed to analyze publication outputs, citation metrics, and collaboration patterns. The analysis revealed an exponential increase in EC research, with annual publications growing from fewer than 1,000 before 2006 to nearly 7,000 by 2022. Environmental Science & Technology emerged as the most influential journal. Based on the number of publications and citations as a country, China and the United States led in research outputs. Co-authorship and collaboration networks highlighted key hubs and prominent researchers, with significant contributions from environmental sciences, chemical engineering, and toxicology. Keyword co-occurrence analysis identified core themes, such as degradation, removal, and the impacts of ECs, reflecting evolving research interests and emerging topics. This bibliometric analysis provides valuable insights into the development and current state of EC research, serving as a resource for guiding future research efforts and fostering collaborations. The study indicates the critical need for continued research to address the challenges posed by ECs and develop effective regulatory policies and remediation strategies.

Tailoring of poly[Ni(OH)2salen] nanoparticle-based electrocatalysts for effective urea remediation

Tailoring of poly[Ni(OH)₂salen] nanoparticle-based electrocatalysts for effective urea remediation

Rapid on-site colorimetric detection of Arsenic(V) by NH2-MIL-88(Fe) nanozymes-based Ultraviolet-visible spectroscopic and smartphone-assisted sensing platforms

BackgroundBecause arsenate (As(V)) is a highly toxic pollutant, timely on-site monitoring of its concentration is crucial for mitigating potential environmental and health hazards. Traditional on-site detection methods for As(V) often face limitations of long response time and low sensitivity. Nanozymes are nanomaterials that exhibit enzyme-like catalytic activity. Nanozyme-based colorimetric detection can amplify signals and improve detection sensitivity by catalytically converting a minimal substrate quantity into a substantial amount. However, current nanozymes-based As(V) detection methods still suffer from prolonged response time and the lack of convenient detection tools. ResultsWe develop a rapid and sensitive strategy for on-site colorimetric As(V) detection using a metal-organic framework (MOF) nanozyme, NH2-MIL-88(Fe). NH2-MIL-88(Fe) featured abundant Fe unsaturated metal centers (UMCs) and ordered porous structure, exhibiting excellent peroxidase-like activity, rapid As(V) adsorption, and high water dispersity. Fe UMCs efficiently catalyzed the oxidization of colorless tetramethylbenzidine (TMB) to blue oxTMB in the presence of H2O2. As(V) selectively inhibited this activity, reducing Ultraviolet-visible (UV-vis) absorption at 650 nm and fading the solution color. Mechanistically, As(V) interacted with Fe UMCs through As-O-Fe bonds, impeding Fe3+ reduction and Fe2+ catalytic ability, reducing •OH production. Under optimized conditions, As(V) was detected within 15 minutes, with detection limits of 2.78 μg•L-1 via UV-vis and 13.56 μg•L-1 via smartphone-assisted platform, covering a linear range of 5.00 - 600.00 μg•L-1. Additionally, NH2-MIL-88(Fe) was incorporated into an agarose hydrogel to create a portable composite for smartphone-based colorimetric analysis As(V). Significance and noveltyThis study addresses the existing issues of nanozyme-based As(V) sensors, elucidates the molecular mechanism by which As(V) affects NH2-MIL-88(Fe) nanozymes activity, and confirms the precision and accuracy of the established method in spiked river samples. Our rapid, sensitive, and facile approach offers a practical and efficient solution for on-site As(V) detection, facilitating swift intelligent risk identification and effective pollution prevention and remediation.