Current Pollution Reports最新文献

{"title":"The Impact of Dissolved Organic Matter in Natural Receiving Systems on the Formation Potential and Toxicity of Disinfection By-products: Insights from Origins, Chemical Properties, and Transformations","authors":"Wei-Yu Li,&nbsp;Yun Chen,&nbsp;Wen-Long Wang,&nbsp;Yan-Lin Chen,&nbsp;Qian-Yuan Wu","doi":"10.1007/s40726-025-00350-0","DOIUrl":"10.1007/s40726-025-00350-0","url":null,"abstract":"<div><h3>Purpose of Review</h3><p>This study aims to examine the role of dissolved organic matter (DOM) as a key precursor to disinfection by-products (DBPs) in aquatic environments. Key objectives include elucidating how DOM sources, chemical properties, and environmental transformations influence DBP speciation and toxicity. The study also evaluates strategies for mitigating DBP risks in drinking water treatment and identifies critical knowledge gaps in linking DOM dynamics to DBP toxicity profiles.</p><h3>Recent Findings</h3><p>Recent studies highlight that the sources of DOM and its chemical characteristics, including SUVA₂₅₄ and humification index (HIX), strongly influence disinfection by-product formation potential (DBPFP). Photochemical and microbial transformations significantly alter the reactivity of DOM, with photodegradation typically reducing DBPFP while biodegradation increasing it. Despite these findings, the relationship between DOM transformations and DBP toxicity remains underexplored. Advanced mass spectrometry and fluorescence-based techniques have improved the ability to characterize DOM, offering new insights into the molecular-level dynamics of DBP formation. While traditional water treatment methods remain essential, enhanced coagulation, adsorption, and advanced oxidation processes are increasingly necessary to efficiently remove DOM and mitigate DBP formation.</p><h3>Summary</h3><p>This review provides a comprehensive examination of the DOM-DBP relationship, offering insights into the speciation and toxicity of DBP. It is highlighted that the sources, chemical properties, and natural transformations of DOM complicate the DBP precursor pool, affecting DOM reactivity and DBP production during disinfection. Advances in analytical techniques could improve our understanding of molecular-level interactions between DOM and DBP. Future research should prioritize comprehensive DOM characterization and predictive models to link DOM subfractions with toxicity explicitly. Furthermore, enhanced removal strategies must be developed to balance disinfection efficacy with minimized health and ecological risks, thereby ensuring water quality safety.</p></div>","PeriodicalId":528,"journal":{"name":"Current Pollution Reports","volume":"11 1","pages":""},"PeriodicalIF":8.1,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145142146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing the Pollutant Removal Performance of Bacteria and Microalgae Through Random Mutagenesis Technology: A Comprehensive Review of Effect and Mechanism","authors":"Zeyuan Wang,&nbsp;Yu Hong","doi":"10.1007/s40726-025-00366-6","DOIUrl":"10.1007/s40726-025-00366-6","url":null,"abstract":"<div><h3>Purpose of Review</h3><p>This review intends to comprehensively introduce random mutagenesis technology and summarize the up-to-date advances for utilizing it to enhance the pollutant removal abilities of bacteria, microalgae, and microalgae-bacteria consortia. In addition, this review also proposes future improvement strategies to further enhance the strengthening effect of random mutagenesis technology.</p><h3>Recent Findings</h3><p>Environmental pollution caused by wastewater, residual antibiotics, and other pollutants has caused severe disservice to the ecosystem and the development of human society. Pure bacterial systems, pure microalgal systems, and microalgae-bacteria consortia have been extensively applied to treat pollutants because of their excellent treatment effects, low cost, and other preponderances. Nevertheless, the pollutant removal abilities of bacteria and microalgae are limited by the individual species characteristics and adverse environmental factors. Fortunately, random mutagenesis technology can effectively solve the above problems. At present, random mutagenesis technology has been proven to significantly improve the removal efficiency of bacteria and microalgae for pollutants such as nutrients, petroleum hydrocarbons, and CO₂.</p><h3>Summary</h3><p>This review first systematically describes the overall research situation of random mutagenesis technology through the bibliometric tools and related literature. Then, the applications of random mutagenesis technology in enhancing the pollutant removal capacity of bacteria, microalgae, and microalgae-bacteria consortia are introduced, respectively. This review also innovatively summarizes the principles of enhancing the pollutant removal performance of microalgae and bacteria through random mutagenesis technology. The challenges this technology faces in the current research are analyzed in depth, and corresponding improvement methods are given.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":528,"journal":{"name":"Current Pollution Reports","volume":"11 1","pages":""},"PeriodicalIF":8.1,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145145681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Comprehensive Review on the Impact of Black-Odorous Water Bodies on the Physiological Ecology of Vallisneria natans and Its Associated Microbial Community","authors":"Fares Hamoud,&nbsp;Yazid Bedouh,&nbsp;Linda Saili,&nbsp;Fatma Zohra Mellouk,&nbsp;Sofiane Ali Rachedi,&nbsp;Ines Bekhouche","doi":"10.1007/s40726-025-00359-5","DOIUrl":"10.1007/s40726-025-00359-5","url":null,"abstract":"<div><h3>Purpose of Review</h3><p>Black-odorous water bodies (BOWBs) pose significant environmental challenges, characterized by excessive nutrients, heavy metals, and organic pollutants that degrade aquatic ecosystems. This review examines the impact of BOWBs on the physiological ecology of <i>Vallisneria natans</i>, a submersed macrophyte known for its phytoremediation potential, and its associated biofilm microbial community.</p><h3>Recent Findings</h3><p><i>Vallisneria natans</i> interacts symbiotically with biofilm communities, which facilitate nutrient cycling, pollutant degradation, and enhance overall plant health. However, pollutants like heavy metals, microplastics, pharmaceuticals, and pesticides disrupt this symbiotic relationship, leading to oxidative stress, impaired nutrient uptake, and reduced growth. These effects limit the effectiveness of <i>V. natans</i> in natural restoration processes, highlighting the need for targeted remediation strategies.</p><h3>Summary</h3><p>Understanding the complex interactions between <i>V. natans</i> and its biofilm community under the stress of BOWBs is essential for developing effective, eco-friendly restoration strategies. This review identifies key knowledge gaps and proposes future research directions to optimize restoration efforts in degraded aquatic systems.</p></div>","PeriodicalId":528,"journal":{"name":"Current Pollution Reports","volume":"11 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144074100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Data-Driven Analysis to Identify Research Hotspots and Trends in the Treatment of Algal Toxins in Water Environment","authors":"Zhao Xue,&nbsp;Lili Jin,&nbsp;Longhao Zhang,&nbsp;Junjie Lu,&nbsp;Naiyuan Zuo,&nbsp;Xiangzhou Sun,&nbsp;Hui Huang,&nbsp;Hongqiang Ren","doi":"10.1007/s40726-025-00356-8","DOIUrl":"10.1007/s40726-025-00356-8","url":null,"abstract":"<div><h3>Purpose of Review</h3><p>Over the past 2 decades, due to eutrophication and other factors, algal toxins in water bodies have become increasingly prevalent, posing a significant threat to aquatic ecosystems and human health. The complex properties of algal toxins and the potential environmental risks they pose urgently demand comprehensive research and effective solutions. </p><h3>Recent Findings</h3><p>Currently, the methods to address this issue mainly cover physical, chemical, and biological means. Oxidation, photocatalysis, and adsorption have emerged as the primary techniques. However, each has its own advantages and disadvantages in terms of removal efficiency, cost, and environmental impact. Previous studies were mostly small-scale laboratory explorations and failed to analyze the overall research trends of algal toxins from a macroscopic perspective. This study, by employing bibliometrics and patent analysis methods, comprehensively examines the research status and development trends of treating algal toxins in water. </p><h3>Summary</h3><p>This study carried out a data-driven analysis of 3354 papers and 380 patents from the Web of Science Core Collection and Derwent Innovation Index databases up until 2023. The keyword co-occurrence network analysis and technology classification jointly revealed the main knowledge structure of algal toxin research, which is formed and interconnected by contaminants, treatment processes, toxicity, and degradation characteristics. Moreover, current research indicates that oxidation, photocatalysis, and adsorption are the main removal methods. Further exploration found that hot areas include the low-carbon degradation of algal toxins in eutrophic waters. In recent years, cylindrospermopsin and nodularin have become hot pollutants in algal toxin treatment. Currently, the research focuses more on the removal mechanism of algal toxins and the risk assessment under the exposure to cylindrospermopsin and nodularin. This study also summarizes the removal efficiencies and principles of physical, chemical, and biological methods in the algal toxin removal process, providing key information and guidance for researchers to have a deeper understanding of the field of treating algal toxins in water. </p></div>","PeriodicalId":528,"journal":{"name":"Current Pollution Reports","volume":"11 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143944270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bioaerosols in Various Working and Living Environments and Their Control Measure: A Review","authors":"Ke Lu,&nbsp;Jiali Zhang,&nbsp;Zhe Li,&nbsp;Yanpeng Li","doi":"10.1007/s40726-025-00354-w","DOIUrl":"10.1007/s40726-025-00354-w","url":null,"abstract":"<div><h3>Purpose of Review</h3><p>This review aims to reveal the pollution characteristics of bioaerosols across various working and living environments and evaluate existing control technologies. This will help enhance public awareness of bioaerosol pollution and the available control methods, and promote the diversity, efficiency, and operability of these technologies.</p><h3>Recent Findings</h3><p>Bioaerosols exhibit varying concentrations and community distributions across different environments due to diverse emission sources and environmental factors. Exposure to airborne pathogens poses health hazards, highlighting necessity for efficient antimicrobial techniques. While various technologies exhibit effective bactericidal capabilities, they also encounter numerous limitations in practical applications.</p><h3>Summary</h3><p>It is crucial to establish microbial risk assessment methods and develop efficient and low-cost control measures across various fields to create safe and healthy environments. This work lays the foundation for future research on bioaerosol pollution and control technologies, offering valuable insights for bioaerosol management and the protection of public health.</p></div>","PeriodicalId":528,"journal":{"name":"Current Pollution Reports","volume":"11 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Next Generation Air Quality Models: Dynamical Mesh, New Insights into Mechanism, Datasets and Applications","authors":"Jinxi Li,&nbsp;Yijie Li,&nbsp;Zifa Wang,&nbsp;Jiang Zhu,&nbsp;Lei Kong,&nbsp;Jie Li,&nbsp;Huangjian Wu,&nbsp;Leisheng Li,&nbsp;Xiao Tang,&nbsp;Zhen Cheng,&nbsp;Lanyi Zhang,&nbsp;Pu Gan,&nbsp;Xiaole Pan,&nbsp;Wenyi Yang,&nbsp;Kai Cao,&nbsp;Jie Zheng","doi":"10.1007/s40726-025-00355-9","DOIUrl":"10.1007/s40726-025-00355-9","url":null,"abstract":"<div><h3>Purpose of Review</h3><p>Air quality modelling and forecasting have been well recognised to play important roles in environmental research as well as government policy assessments and management strategies. To address the recent progresses in air quality modelling, we conduct a literature review focusing on air quality forecasting models and reanalysis datasets.</p><h3>Recent Findings</h3><p>First of all, the implementation of three-dimensional adaptive meshes/horizontal resolution-variable grids in air quality models offers a crucial insight on multi-scale simulations down to the hectometre level. These models balance high accuracy with computational efficiency. Secondly, current reanalysis still has limitations in its horizontal resolution (dozens of kilometres) that are insufficient to support the analysis and management of air pollution at factory levels or neighbourhood scales. The development of adaptive mesh resolution method provides a promising way to deal with this issue and allows the construction of the chemistry reanalysis at ultra-high resolutions (&lt; 1 km). However, the use of adaptive mesh method in data assimilation is currently still restricted to the column-based one-dimensional models. Thirdly, the application of graphics processing units to air quality predictions enables more optimised resource usage and enhances model performance through hardware acceleration effects, while machine learning methods can both maintain the consistency with numerical solutions and increase the accuracy of air quality predictions for specific chemical species. Furthermore, parameters that describe more complicated processes and mechanisms have been added into pre-existing physical and chemical parameterisations to enable more accurate representation of various small-scale features, such as the parameterisation of inorganic chemistry on the surface of aerosols, as well as various photolysis schemes.</p><h3>Summary</h3><p>The increase of resolution brings computational burdens and shifts the boundary of resolved and sub-grid phenomena in air quality prediction, which in turn stimulates the development and usage of new technologies (e.g. adaptive mesh techniques, graphics processing unit acceleration, machine learning methods). They are conducive to the improvement of prediction accuracies and the acquisition of new insights on atmospheric physical and chemical mechanisms. However, new challenges also ensued, including the selection criteria for mesh refinement, the acquisition of high-resolution observational data and the integration of artificial intelligence-hybrid air quality models. More efforts are required to develop the adaptive irregular mesh grid data assimilation method to overcome the resolution problems of current chemical reanalysis.</p></div>","PeriodicalId":528,"journal":{"name":"Current Pollution Reports","volume":"11 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40726-025-00355-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Scenario Setting in Life Cycle Assessments for Wastewater Treatment: A Comprehensive Review","authors":"Changkun Lin,&nbsp;Fengbin Sun,&nbsp;Jingsi Gao,&nbsp;Jian Wu,&nbsp;Fei Guo","doi":"10.1007/s40726-025-00353-x","DOIUrl":"10.1007/s40726-025-00353-x","url":null,"abstract":"<div><h3>Purpose of Review</h3><p>This review aims to explore the application of scenario setting in life cycle assessment (LCA) studies related to wastewater treatment. Given the variability in LCA results based on different scenario settings, this paper seeks to categorize these settings, assess their impact, and provide a reference for future research in optimizing wastewater treatment industry.</p><h3>Recent Findings</h3><p>To achieve a more comprehensive understanding of the wastewater treatment field, recent studies have incorporated a more diverse range of scenarios for comparative analysis. These scenarios can generally be categorized into small-scale and large-scale scenarios, including those set up to compare different wastewater treatment technologies, demonstrate the potential of new versus traditional processes, predict future developments, and analyze regional impacts spanning entire countries, among others. Scenario setting plays a critical role throughout the LCA process, influencing model construction, data analysis, and result interpretation.</p><h3>Summary</h3><p>The motivation behind scenario setting lies in comparison, and it can be integrated throughout LCA research, serving distinct roles at various stages. This review categorizes scenario setting into three steps: baseline scenario setting, main scenario setting, and supplementary scenario setting. Proper scenario setting is crucial for enhancing the accuracy and depth of wastewater treatment life cycle assessments, enabling researchers to provide valuable insights into the environmental, economic, and social impacts of wastewater treatment technologies. This structured approach supports decision-makers in optimizing treatment processes and developing more sustainable wastewater management policies.</p></div>","PeriodicalId":528,"journal":{"name":"Current Pollution Reports","volume":"11 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143875371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Overarching Critical Review on Beta-Blocker Biodegradation: Occurrence, Ecotoxicity, and Their Pathways in Water Environments","authors":"Anisa Ratnasari,&nbsp;Samrendra Singh Thakur,&nbsp;Isti Faizati Zainiyah,&nbsp;Ramaraj Boopathy,&nbsp;Edza Aria Wikurendra","doi":"10.1007/s40726-025-00351-z","DOIUrl":"10.1007/s40726-025-00351-z","url":null,"abstract":"<div><h3>Purpose of Review</h3><p>Beta-blockers are drugs generally used to treat cardiovascular disorders. They commonly occur in water environments and cause significant threats to aquatic organisms. Therefore, removing these compounds from the environment is essential for maintaining environmental stability. The microbial biodegradation of beta-blockers has recently gained more attention due to their applicability, environment-friendliness, and cost-effectiveness. In this context, this review aims to identify the existing microorganisms and the pathways involved in the biodegradation of beta-blockers.</p><h3>Recent Findings</h3><p>The finding suggested that microorganisms, including archaea, bacteria, and fungi, are the major groups involved in the biodegradation of atenolol, metoprolol, and propranolol. Generally, microbes transform these complex compounds into less harmful metabolites; for instance, in biodegradation pathways of atenolol, metoprolol, and propanol transformed into atenolol acid, metoprolol acid, and carboxylic acid, respectively.</p><h3>Summary</h3><p>This review critically exposes the biodegradation process of beta-blockers using microorganisms and their pathways. Although numerous metabolites and enzymes have already been identified in the biodegradation of beta-blockers, several enzymes and metabolites still need to be explored.</p></div>","PeriodicalId":528,"journal":{"name":"Current Pollution Reports","volume":"11 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI-Driven Algae Biorefineries: A New Era for Sustainable Bioeconomy","authors":"Mohammed Abdullah,&nbsp;Hafiza Aroosa Malik,&nbsp;Abiha Ali,&nbsp;Ramaraj Boopathy,&nbsp;Phong H. N. Vo,&nbsp;Soroosh Danaee,&nbsp;Peter Ralph,&nbsp;Sana Malik","doi":"10.1007/s40726-025-00352-y","DOIUrl":"10.1007/s40726-025-00352-y","url":null,"abstract":"<div><h3>Purpose of Review</h3><p>The urgent need for a transition toward a sustainable and greener future is underscored by the projected risk of a global temperature increase of up to 3 °C above pre-industrial levels, driven by rising carbon emissions. Algae biorefineries offer a promising solution to these challenges. However, the high production and downstream processing costs continue to hinder successful commercialization. This review provides a comprehensive overview of several AI-driven innovations: phenotypic screening for strain improvement, monitoring of environmental parameters, machine learning for optimizing dewatering efficiency, predictive modeling for algae growth and yield, and AI-controlled drying systems for biomass preservation.</p><h3>Recent Findings</h3><p>Integrating machine learning algorithms and predictive modeling can transform algae cultivation by automating the process with continuous monitoring and feedback systems, significantly reducing labor costs while enhancing process economics and efficiency. Accurate prediction of optimal harvesting times can further decrease harvesting costs, address key scalability issues, and facilitate the broader commercialization of algae for diverse biotechnological applications.</p><h3>Summary</h3><p>In the future, smart biorefineries that integrate artificial intelligence into algae production facilities will be pivotal in enhancing process efficiency and economics within circular and sustainable frameworks. While AI continues to impact various fields to ease human effort, ethical considerations must remain central to its use, especially as this sector grows rapidly.</p><h3>Graphical Abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":528,"journal":{"name":"Current Pollution Reports","volume":"11 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143818129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characteristics of Si Biogeochemical Cycle in Freshwater Riparian Wetlands: A Comprehensive Review","authors":"Abdur Rahman,&nbsp;Sen Gu,&nbsp;Qingman Li","doi":"10.1007/s40726-025-00348-8","DOIUrl":"10.1007/s40726-025-00348-8","url":null,"abstract":"<div><h3>Purpose of Review</h3><p>The silicon (Si) biogeochemical cycle in ecosystems is tightly linked with other elemental cycles and plays a key role in addressing ecological challenges such as water quality deterioration, climate warming, and biodiversity reduction. As transitional zones between aquatic and terrestrial ecosystems, riparian wetlands possess unique eco-environmental characteristics that enable them to regulate the flow and forms of terrestrial Si into aquatic ecosystems. This paper systematically reviews the characteristics of the Si biogeochemical cycle in riparian wetlands, emphasizing the influence of environmental factors on Si transformation. Additionally, it highlights key knowledge gaps in the Si cycle within riparian wetlands that warrant further research.</p><h3>Recent Findings</h3><p>Si is considered “quasi-essential” for plant growth. During growth, plants not only assimilate CO₂ from the atmosphere but also convert dissolved Si into biogenic silicon (BSi). Enhancing the ability of plants to assimilate CO₂ through Si uptake is regarded as an effective approach to mitigating climate warming. BSi plays a dominant role in Si fluxes from terrestrial to aquatic ecosystems, with riparian wetlands serving as primary sites for BSi formation. The distinct hydrological characteristics of riparian wetlands have significant impacts on Si movement and transformation. Additionally, factors such as vegetation composition, soil physicochemical properties, and human activities further influence the Si cycle.</p><h3>Summary</h3><p>This review summarizes the characteristics of riparian wetlands, as well as the forms and distribution of Si within these ecosystems. It then emphasizes the biogeochemical processes of Si, the characteristics of Si cycle, and the factors that influence it. This review also identifies knowledge gaps and outlines priorities for future research.</p></div>","PeriodicalId":528,"journal":{"name":"Current Pollution Reports","volume":"11 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143801152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}