npj Clean Water最新文献_第2页

Temperature-based strategy for enhanced nitrogen removal in mainstream via selectively strengthening anammox or denitrification

IF 11.4 1区工程技术

npj Clean Water Pub Date : 2025-03-29 DOI: 10.1038/s41545-025-00448-4

Wentao Zhou, Qiong Zhang, Bo Wang, Feng Hou, Hongtao Pang, Yuanyuan Guo, Liang Zhang, Yongzhen Peng

{"title":"Temperature-based strategy for enhanced nitrogen removal in mainstream via selectively strengthening anammox or denitrification","authors":"Wentao Zhou, Qiong Zhang, Bo Wang, Feng Hou, Hongtao Pang, Yuanyuan Guo, Liang Zhang, Yongzhen Peng","doi":"10.1038/s41545-025-00448-4","DOIUrl":"https://doi.org/10.1038/s41545-025-00448-4","url":null,"abstract":"To address the instability challenges of Partial Nitrification and Anammox (PNA) at low temperatures, this study introduces a temperature-based nitrogen removal process and demonstrates its feasibility in a pilot-scale system. The temperature-based strategy allows for the selective enhancement of anammox at higher temperatures (>20 °C) or denitrification at moderate and lower temperatures (≤20 °C). Nitrogen removal efficiencies of 93.8%, 72.1%, and 59.1% were achieved under >20 °C, 15–20 °C, and <15 °C, with corresponding effluent qualities of 3.0 mg/L, 9.6 mg/L, and 13.7 mg/L. As temperatures decreased, anammox contributions to nitrogen removal weakened from 88.4% to 8.2%, while denitrification contributions increased from 10.1% to 90.1%. Anammox bacteria exhibit a competitive advantage over denitrifying bacteria at higher temperatures, evidenced by the abundance of Candidatus Kuenenia at 7.13%. Denitratesoma was enriched to 3.47% at moderate and low temperatures, effectively supporting nitrogen removal robustness. This study provides insights into the seasonal optimization of mainstream anammox processes.","PeriodicalId":19375,"journal":{"name":"npj Clean Water","volume":"183 1","pages":""},"PeriodicalIF":11.4,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143734094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Precise biofilm thickness prediction in SWRO desalination from planar camera images by DNN models 利用 DNN 模型从平面相机图像精确预测 SWRO 海水淡化过程中的生物膜厚度

IF 11.4 1区工程技术

npj Clean Water Pub Date : 2025-03-23 DOI: 10.1038/s41545-025-00451-9

Henry J. Tanudjaja, Najat A. Amin, Adnan Qamar, Sarah Kerdi, Hussain Basamh, Thomas Altmann, Ratul Das, Noreddine Ghaffour

{"title":"Precise biofilm thickness prediction in SWRO desalination from planar camera images by DNN models","authors":"Henry J. Tanudjaja, Najat A. Amin, Adnan Qamar, Sarah Kerdi, Hussain Basamh, Thomas Altmann, Ratul Das, Noreddine Ghaffour","doi":"10.1038/s41545-025-00451-9","DOIUrl":"https://doi.org/10.1038/s41545-025-00451-9","url":null,"abstract":"Detecting and quantifying biofouling is a challenging process inside a seawater reverse osmosis (SWRO) module due to its design complexity and operating obstacles. Herein, deep Convolutional Neural Network (CNN) models were developed to accurately calculate the cross-sectional biofilm thickness (vertical plane) through membrane surface images (horizontal plane). Models took membrane surface image as input; the classification model (CNN-Class) predicted fouling classification, while the regression model (CNN-Reg) predicted the average biofilm thickness on the membrane surface. CNN-Class model showed 90% accuracy, and CNN-Reg reached a moderate mean difference of ±24% in predicting the classification and biofilm thickness, respectively. Both models performed well and validated with 80% accuracy in classification and a mean difference of ±18% in biofilm thickness prediction from a new set of unseen live OCT images. The developed CNN models are a novel technology that has the potential to be implemented in desalination plants for early decision-making and biofouling mitigation.","PeriodicalId":19375,"journal":{"name":"npj Clean Water","volume":"13 1","pages":""},"PeriodicalIF":11.4,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143675168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Novel MoS2/BaSO4/zeolite heterostructure composite for the enhanced visible-light photocatalytic degradation of sulfadiazine

IF 11.4 1区工程技术

npj Clean Water Pub Date : 2025-03-21 DOI: 10.1038/s41545-025-00455-5

Yi Chen, Yue Jin, Honglin Zhu, Haolan Zhang, Luyu Wei, Yan Tang, Rui Wang, Dayu Zhou, Jinchuan Gu

{"title":"Novel MoS2/BaSO4/zeolite heterostructure composite for the enhanced visible-light photocatalytic degradation of sulfadiazine","authors":"Yi Chen, Yue Jin, Honglin Zhu, Haolan Zhang, Luyu Wei, Yan Tang, Rui Wang, Dayu Zhou, Jinchuan Gu","doi":"10.1038/s41545-025-00455-5","DOIUrl":"https://doi.org/10.1038/s41545-025-00455-5","url":null,"abstract":"Molybdenum disulfide (MoS2) can be used as a potential photocatalyst for the removal of emerging contaminants (ECs) under visible light (Vis). However, the high carrier recombination rate and aggregation restrict pure MoS2 application. The hydrothermal method was used to prepare a novel MoS2/BaSO4/zeolite (Z) composite (MBZ), which was used to activate peroxymonosulfate (PMS) under visible light for sulfadiazine (SDZ) degradation. The MBZ showed a moderate Eg value (2.59 eV), indicating good visible-light absorption. The physicochemical and photoelectrochemical properties were analyzed, revealing that the hybrid MBZ significantly enhanced photoinduced carrier generation, separation, and transfer. The MBZ exhibited 2.38-, 3.24-, and 1.36-fold higher SDZ removal reaction rates than Z, BaSO4, and MoS2 in the PMS/Vis system. The addition of EDTA-2Na notably decreased the degradation rate (79.58–89.88%), indicating the significant role of h+. This work provides a new approach to the design of semiconductor/insulator photocatalysts and constructs a promising catalytic oxidation system for the green remediation of EC wastewater.","PeriodicalId":19375,"journal":{"name":"npj Clean Water","volume":"49 1","pages":""},"PeriodicalIF":11.4,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143665927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Highly stretchable TPU/g-C3N4 composite nanofiber film for enhancing the piezo-photocatalytic sewage treatment by electrospinning-induced pretension

IF 11.4 1区工程技术

npj Clean Water Pub Date : 2025-03-18 DOI: 10.1038/s41545-025-00452-8

Na Sun, Zeqian Ren, Peng Chen, Miao Yue, Jizhou Wu, Yongming Fu, Jie Ma

{"title":"Highly stretchable TPU/g-C3N4 composite nanofiber film for enhancing the piezo-photocatalytic sewage treatment by electrospinning-induced pretension","authors":"Na Sun, Zeqian Ren, Peng Chen, Miao Yue, Jizhou Wu, Yongming Fu, Jie Ma","doi":"10.1038/s41545-025-00452-8","DOIUrl":"https://doi.org/10.1038/s41545-025-00452-8","url":null,"abstract":"Enhancing the sustainability of catalysts is crucial for the practical application of piezo-photocatalytic degradation of sewage. This study introduces a novel approach by fabricating highly stretchable piezoelectric composite nanofiber films through electrospinning TPU/g-C3N4 mixture. The tight integration of TPU nanofibers with g-C3N4 few-layers pre-stresses g-C3N4 and strengthens the mechanical properties of the composite films, achieving a maximum tensile strain and stress of 862% and 6.90 MPa, respectively. With the assistance of 300 W ultrasound, the photocatalytic capability of the TPU/0.2g g-C3N4 composite nanofiber film is enhanced by 43% and maintains nearly 100% of its initial performance after 12 repeated experiments. The electronic, piezoelectric, and optical properties of uniaxial-strained monolayer g-C3N4 are studied by first-principles calculations, revealing that stretching in the armchair direction can double the in-plane piezoelectric coefficient, while compression in the armchair direction simultaneously alters the charge distribution within the heptazine rings and modulates the adsorption sites and energy for oxygen molecule. Therefore, ultrasound-induced dynamic strains can significantly enhance the photocatalytic effect. The degradation of electronic industrial wastewater demonstrates the practical application potential of the catalytic composite nanofiber film. This research offers a pioneering strategy for the development of efficient photocatalytic systems for sewage treatment.","PeriodicalId":19375,"journal":{"name":"npj Clean Water","volume":"20 1","pages":""},"PeriodicalIF":11.4,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143653373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on the filtration efficiency and influencing factors of pontoon mesh rotary filters for micro-sprinkler irrigation

IF 11.4 1区工程技术

npj Clean Water Pub Date : 2025-03-15 DOI: 10.1038/s41545-025-00443-9

Lingwei Chen, Zhen Jin, Qiao Li, Aihemaiti Mahemujing, Youwei Jiang, Hongfei Tao

引用次数: 0

Quantum machine learning regression optimisation for full-scale sewage sludge anaerobic digestion

IF 11.4 1区工程技术

npj Clean Water Pub Date : 2025-03-05 DOI: 10.1038/s41545-025-00440-y

Yomna Mohamed, Ahmed Elghadban, Hei I Lei, Amelie Andrea Shih, Po-Heng Lee

{"title":"Quantum machine learning regression optimisation for full-scale sewage sludge anaerobic digestion","authors":"Yomna Mohamed, Ahmed Elghadban, Hei I Lei, Amelie Andrea Shih, Po-Heng Lee","doi":"10.1038/s41545-025-00440-y","DOIUrl":"https://doi.org/10.1038/s41545-025-00440-y","url":null,"abstract":"Anaerobic digestion (AD) is a crucial bioenergy source widely applied in wastewater treatment. However, its efficiency improvement is hindered by complex microbial communities and sensitivity to feedstock properties. We, thus, propose a hybrid quantum-classical machine learning (Q-CML) regression algorithm using a quantum circuit learning (QCL) strategy. Combining a variational quantum circuit with a classical optimiser, this approach predicts biogas production from operational data of 18 full-scale mesophilic AD sites in the UK. Tailored for noisy intermediate-scale quantum (NISQ) devices, the low-depth QCL model outperforms conventional regression methods (R²: 0.53) and matches the performance of a classical multi-layer perceptron (MLP) regressor (R²: 0.959) with significantly fewer parameters and better scalability. Comparative analysis highlights the advantages of quantum superposition and entanglement in capturing intricate correlations in AD data. This study positions Q-CML as a cutting-edge solution for optimising AD processes, boosting energy recovery, and driving the circular economy.","PeriodicalId":19375,"journal":{"name":"npj Clean Water","volume":"183 1","pages":""},"PeriodicalIF":11.4,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Preparation of unsaturated MIL-101(Cr) with Lewis acid sites for the extraordinary adsorption of anionic dyes

IF 11.4 1区工程技术

npj Clean Water Pub Date : 2025-02-26 DOI: 10.1038/s41545-024-00413-7

Basem E. Keshta, Haojie Yu, Li Wang, Hong Yi, Shan Jian, MD Alim Uddin, Chenguang Ouyang, Yu Wang, Xunchun Yuan, Yanhui Zhang, Yang Jin, Abdul Basit, Muhammad Owais Malik, Khan Manqoosh Awan

{"title":"Preparation of unsaturated MIL-101(Cr) with Lewis acid sites for the extraordinary adsorption of anionic dyes","authors":"Basem E. Keshta, Haojie Yu, Li Wang, Hong Yi, Shan Jian, MD Alim Uddin, Chenguang Ouyang, Yu Wang, Xunchun Yuan, Yanhui Zhang, Yang Jin, Abdul Basit, Muhammad Owais Malik, Khan Manqoosh Awan","doi":"10.1038/s41545-024-00413-7","DOIUrl":"https://doi.org/10.1038/s41545-024-00413-7","url":null,"abstract":"Anionic dyes contaminate water and severely disrupt aquatic ecosystems, urgently demanding effective treatment solutions for safety. This study explores the synthesis of unsaturated MIL-101(Cr) and its exceptional performance in removing anionic dyes from polluted water systems. The synthesized MIL-101(Cr) exhibits medium Lewis’s acid and strong Brønsted acid sites, a high specific surface area (>3000 m2/g), and a Zeta potential of 30 mV, contributing to its strong adsorption capability. Adsorption studies reveal Langmuir isotherm model fitting, with maximum adsorption capacities of 4231, 1266, and 568 mg/g for Acid Blue 92, Congo Red, and Acid Blue 90, respectively. The chemisorption process follows pseudo-second-order kinetics and is spontaneous and exothermic. MIL-101(Cr) demonstrates chemical and water stability, maintaining over 80% removal efficiency after five recycling cycles. This research provides valuable insights into treating anionic dye-contaminated wastewater using MIL-101(Cr) as an efficient adsorbent.","PeriodicalId":19375,"journal":{"name":"npj Clean Water","volume":"128 1","pages":""},"PeriodicalIF":11.4,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143495397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Antimicrobial resistant enteric bacteria are widely distributed among environmental water sources in Dhaka, Bangladesh

IF 11.4 1区工程技术

npj Clean Water Pub Date : 2025-02-26 DOI: 10.1038/s41545-025-00447-5

Nadim Sharif, Rubayet Rayhan Opu, Tama Saha, Afsana Khan, Fuad M. Alzahrani, Meshari A. Alsuwat, Roger Sarín Rivas Suárez, Eduardo Garcia Villena, Khalid J. Alzahrani, Shuvra Kanti Dey

{"title":"Antimicrobial resistant enteric bacteria are widely distributed among environmental water sources in Dhaka, Bangladesh","authors":"Nadim Sharif, Rubayet Rayhan Opu, Tama Saha, Afsana Khan, Fuad M. Alzahrani, Meshari A. Alsuwat, Roger Sarín Rivas Suárez, Eduardo Garcia Villena, Khalid J. Alzahrani, Shuvra Kanti Dey","doi":"10.1038/s41545-025-00447-5","DOIUrl":"https://doi.org/10.1038/s41545-025-00447-5","url":null,"abstract":"Disposal of antibiotics and antimicrobial-resistant enteric bacteria (ARB) into water from various sources is responsible for maintaining ARB in the environment. Relative prevalence and circulation of ARB may vary across water sources. We hypothesized that these ARBs with different resistance genes are distributed in various freshwater sources and are related to each other. We screened 155 enteric bacterial isolates from eight different water sources in Dhaka. The prevalence of ARB and MDR enteric bacteria in water was significantly associated (p value < 0.05) with the sources. The genotypic analysis of blaTEM, qnrB, tetA, mcr-1, and sul-1 revealed higher similarity of the isolates from freshwater with previously reported isolates from clinical samples. Water sources with direct exposure to antibiotics had a significantly higher frequency of genotypic and phenotypic resistance. This study calls for continuous monitoring of water sources and strengthening the treatment of antibiotic and ARB-containing effluents in Bangladesh.","PeriodicalId":19375,"journal":{"name":"npj Clean Water","volume":"6 1","pages":""},"PeriodicalIF":11.4,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143507006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrating livestock and aquatic plant towards mitigating antibiotic resistance transmission from swine wastewater

IF 11.4 1区工程技术

npj Clean Water Pub Date : 2025-02-24 DOI: 10.1038/s41545-025-00446-6

Houpu Zhang, Rou Chen, Yanting He, Zhengliang Cao, Ruofei Zhou, Conglai Zheng, Dandan Pan, Hua Fang, Xiangwei Wu

{"title":"Integrating livestock and aquatic plant towards mitigating antibiotic resistance transmission from swine wastewater","authors":"Houpu Zhang, Rou Chen, Yanting He, Zhengliang Cao, Ruofei Zhou, Conglai Zheng, Dandan Pan, Hua Fang, Xiangwei Wu","doi":"10.1038/s41545-025-00446-6","DOIUrl":"https://doi.org/10.1038/s41545-025-00446-6","url":null,"abstract":"Load reduction is essential for mitigating the transmission risk of antibiotic resistance genes (ARGs) from livestock wastewater. This study examined the potential and mechanisms of Myriophyllum elatinoide-planted system in reducing ARGs in swine wastewater. Field experiment showed a progressive decline in ARG diversity and abundance as pond number increased, which was attributed to bacterial community shift and mobile genetic element-mediated horizontal transfer. This was corroborated by hydroponic experiment, where removal rates of antibiotics, antibiotic-resistant bacteria, and ARGs reached 64.82–87.83%, 66.27–98.39%, and 93.63–99.82%. Mechanistically, such a reduction could be achieved through direct uptake by plant roots and shoots, and indirectly by alleviating the selection pressure from antibiotic residues. Furthermore, M. elatinoides treatment substantially decreased ARG burdens in wastewater-receiving water (71.40–96.68%) and soils (36.81–85.69%). Our findings present a feasible and sustainable strategy for mitigating swine wastewater-borne ARGs, aiding in the fight against the spread of antibiotic resistance.","PeriodicalId":19375,"journal":{"name":"npj Clean Water","volume":"52 1","pages":""},"PeriodicalIF":11.4,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143477760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine learning prediction of ammonia nitrogen adsorption on biochar with model evaluation and optimization

IF 11.4 1区工程技术

npj Clean Water Pub Date : 2025-02-22 DOI: 10.1038/s41545-024-00429-z

Chong Liu, Paramasivan Balasubramanian, Jingxian An, Fayong Li

{"title":"Machine learning prediction of ammonia nitrogen adsorption on biochar with model evaluation and optimization","authors":"Chong Liu, Paramasivan Balasubramanian, Jingxian An, Fayong Li","doi":"10.1038/s41545-024-00429-z","DOIUrl":"https://doi.org/10.1038/s41545-024-00429-z","url":null,"abstract":"In light of escalating nitrogen pollution in aquatic systems, this study presents a comprehensive machine learning (ML) approach to predict ammonia nitrogen adsorption capacity of biochar and identify optimal conditions. Twelve ML models, including tree-based ensembles, kernel-based methods, and deep learning, were evaluated using Bayesian optimization and cross-validation. Results show tree-based ensemble models excel, with CatBoost performing best (R² = 0.9329, RMSE = 0.5378) and demonstrating strong generalization. Using SHAP and Partial Dependence Plots, we found experimental conditions (67.2%) and biochar’s chemical properties (18.2%) most influenced adsorption capacity. Moreover, under these experimental conditions (C₀ > 50 mg/L and pH 6–9), a higher adsorption capacity could achieved. A Python-based GUI incorporating CatBoost facilitates practical applications in designing efficient biochar adsorption systems. By merging advanced ML techniques and interpretability tools, this study deepens understanding of biochar’s ammonia adsorption and supports sustainable strategies for mitigating nitrogen pollution.","PeriodicalId":19375,"journal":{"name":"npj Clean Water","volume":"15 1","pages":""},"PeriodicalIF":11.4,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143473403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0