Journal of water process engineering最新文献

{"title":"Mechanistic insights into the impact of Lincomycin on microalgal-bacterial granular sludge in domestic wastewater treatment","authors":"Guihua Wang ,&nbsp;Shujuan Meng ,&nbsp;Bin Ji ,&nbsp;Rui Wang ,&nbsp;Min Liao ,&nbsp;Xinyu Chang ,&nbsp;Yu Liu ,&nbsp;Meng Zhang","doi":"10.1016/j.jwpe.2025.108336","DOIUrl":"10.1016/j.jwpe.2025.108336","url":null,"abstract":"<div><div>Lincomycin (LCM), a widely used lincosamide antibiotic, poses considerable ecological risks, particularly when residues remain in wastewater. Microalgal-bacterial granular sludge (MBGS) has emerged as a sustainable and efficient technology for domestic wastewater treatment. Nonetheless, the effects of residual LCM on MBGS performance remains largely unexplored. This study examined the impact of varying LCM concentrations on MBGS under simulated domestic wastewater treatment conditions. Our results indicated that 10 mg/L LCM concentrations stimulated MBGS to secrete extracellular polymeric substances (EPS), thereby enhancing both adsorption and biodegradation of LCM. Nevertheless, LCM exposure impaired MBGS efficiency, notably in water treatment and nitrogen cycling processes. Amplicon sequencing revealed that the deterioration of wastewater-treatment efficiency was associated with a reduced abundance of cyanobacteria and bdelloidea. Moreover, metagenomic analysis corroborated that LCM exposure diminished cyanobacteria abundance and highlighted the pivotal role of cyanobacteria in both nitrogen assimilation and dissimilation. LCM exposure impaired nitrogen cycling efficiency, disrupting the production of cofactors production and vitamin metabolism. Furthermore, LCM induced an increase in antibiotic resistance genes (ARGs), which may support MBGS survival under antibiotic stress. This study provides a comprehensive elucidation of the multifaceted impact mechanisms of LCM on MBGS. Additionally, it highlights the critical role of cyanobacteria in nitrogen cycling and their susceptibility to LCM exposure, thereby offering insights into the ecological ramifications of antibiotic pollution in wastewater treatment systems. Overall, this study provides critical insights for the development of more efficient and sustainable MBGS-based wastewater-treatment systems.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"77 ","pages":"Article 108336"},"PeriodicalIF":6.3,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Designing advanced feature selection and uncertainty quantification-based deep learning approach to predict chlorophyll-a and water bloom risks in dam reservoir","authors":"Akram Seifi ,&nbsp;Hossien Riahi Madvar ,&nbsp;Rouhollah Davarpanah ,&nbsp;Mumtaz Ali ,&nbsp;Abdul-Wahab Mashat","doi":"10.1016/j.jwpe.2025.108341","DOIUrl":"10.1016/j.jwpe.2025.108341","url":null,"abstract":"<div><div>Predicting water quality indicators accurately is vital for the sustainable management of aquatic ecosystems, particularly in dam reservoirs that are highly vulnerable to environmental phenomena. Dissolved oxygen (DO) and chlorophyll-a (Chl-a) are essential indicators for evaluating ecosystem stability and water quality. In this study, an innovative and robust intelligent framework is designed using integrated uncertainty quantification and feature selection to predict DO, Chl-a, and bloom risk evaluation of dams. First, the individual machine learning and deep learning models, including Extreme Gradient Boosting (XGBoost), Convolutional Neural Networks (CNNs), Gated Recurrent Units (GRUs), Least Square Support Vector Regression (LSSVR), and Multi-Layer Perceptron (MLP) were assessed. Subsequently, the most effective models are then integrated to enhance predictive accuracy. The Boruta Feature Selection Approach (BFSA), Gamma Test, and Shapley Additive Explanations (SHAP) are used to select the most suitable and relevant features. Then the Monte-Carlo simulation is implemented for uncertainty analysis to evaluate the reliability of models' prediction by determining probability distribution functions. The hybrid XGBoost-CNNs achieved the highest performance in terms of R² = 0.923, RMSE = 0.547 μg/l for Chl-a prediction, and CNNs obtained R² = 0.995, RMSE = 0.143 ppm for DO prediction. The 95 % Prediction Uncertainty (95PPU) varied from 79.37 to 100, which shows strong predictive reliability. Also, d-factor values lower than 0.77 confirmed the model uncertainty is low. Furthermore, water bloom risk was assessed using the predicted Chl-a concentration. The analysis indicated no risk levels at reservoir depths of 0–5.5 m and 13.5–32 m, while low-risk levels were identified between 5.5 and 13.5 m. The maximum risk probability was 20.66 % when Chl-a concentrations were below 40 μg/l. The results highlight the effectiveness of hybrid artificial intelligence frameworks in enabling real-time water quality monitoring, early detection of harmful algal blooms, and promoting sustainable reservoir management.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"77 ","pages":"Article 108341"},"PeriodicalIF":6.3,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multifunctional Nanoprobe for water purification: Zinc peroxide nanoparticles as potential photocatalyst for dye degradation and pathogen disinfection","authors":"Muhammad Javad Parambath ,&nbsp;Malavika Radhakrishnan ,&nbsp;Ajaikrishnan Unnikrishnan ,&nbsp;Bineesha Cheviri ,&nbsp;Mohammad Shameer Karimpanakkal ,&nbsp;Bhagya Thittayil ,&nbsp;Rajendra Pilankatta ,&nbsp;Swapna Shanmukhan Nair","doi":"10.1016/j.jwpe.2025.108389","DOIUrl":"10.1016/j.jwpe.2025.108389","url":null,"abstract":"<div><div>Water, the most fundamental element of life on earth, next to air, is often contaminated through synthetic materials as well as harmful pathogens. This leads to the importance of developing novel materials and methods for water purification in an efficient and economic manner. Semiconductor nanoparticles are extensively exploited for their effective photocatalytic activities against synthetic organic dyes. Here, we focus on sunset yellow dye and its degradation, which is analyzed using zinc peroxide nanospheres (ZpNs), an interesting semiconductor nanoparticle with a highly porous morphology. The ZpNs are synthesized using the Leiden frost dynamic method, and its crystalline, morphological, and optical characterization is carried out by XRD, FTIR, XPS, TEM, HRSEM-EDS and UV–Vis NIR spectroscopy. The average crystallite size is 7 nm and the obtained band gap value is 4.24 eV and the material shows thermal stability up to 215 °C. The SEM and TEM analysis reflects the clustering of individual nanoparticles with an average cluster size of 180 nm. The material is analyzed for sunset yellow azo dye degradation by evaluating the absorbance over different ambient conditions. The maximum degradation of 93 % is obtained for the sample exposed to sunlight with H₂O₂ oxidizing agent. Besides these, the material is examined for its antimicrobial effects for the removal of micro-organisms from water bodies. The anti-microbial action of the synthesized sample is examined against 4 sets of clinically relevant bacterial species, and it is obtained that the material shows toxicity against <em>Staphylococcus aureus</em> with a MIC value of 250 μg/mL<em>.</em></div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"77 ","pages":"Article 108389"},"PeriodicalIF":6.3,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synthetic microbial communities for simultaneous nitrogen removal and pathogen control: probiotic isolation, efficacy analysis, consortium construction and application potential","authors":"Liwen Liao ,&nbsp;Jiaqi Song ,&nbsp;Ruoyi Qiu ,&nbsp;Chang Liu ,&nbsp;Teng Li ,&nbsp;Luqing Pan","doi":"10.1016/j.jwpe.2025.108400","DOIUrl":"10.1016/j.jwpe.2025.108400","url":null,"abstract":"<div><div>To address the limited environmental adaptability and instability of single heterotrophic nitrification-aerobic denitrification (HN-AD) bacteria in treating aquatic nitrogen (N) pollution, this study isolated five efficient probiotics from shrimp farming environments. These include two HN-AD strains, <em>Pseudomonas stutzeri</em> GMSN161 and <em>Bacillus subtilis</em> HHEB2, which effectively removed over 91.15 % of ammonia and nitrite from various N sources, demonstrating good environmental adaptability. Two lactic acid bacteria (LAB), <em>Lactiplantibacillus plantarum</em> SDEX1 and SDWX2, produced lactic and acetic acids, significantly inhibiting five aquatic pathogens. <em>Pichia kudriavzevii</em> HHWY1, a yeast, secreted its extracellular polysaccharides and digestive enzymes to provide nutritional supplementation for the synthetic microbial communities (SMCs). To overcome the limitations of single strains, three SMCs (NMY-1, NMY-2, and NMY-3) with N removal and antibacterial functions were constructed. The SMCs exhibited superior N removal rate (&gt;97.51 %) across diverse N sources and broader environmental adaptability compared to single strain systems. Notably, the optimal SMC (NMY-3) maintained over 90 % N removal across a wide range of conditions: 10–40 °C, 0–50 ppt salinity, pH 4.5–9.5, and C/N ratios of 0–20. SMCs also effectively inhibited pathogens, with NMY-3 showing the strongest activity, followed by NMY-1 and NMY-2. When applied to real aquaculture wastewater, all three SMCs removed over 90 % of total nitrogen (TN). This innovative strain combination strategy provides a new paradigm for applying synthetic microbial communities in environmental remediation.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"77 ","pages":"Article 108400"},"PeriodicalIF":6.3,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive review of per- and polyfluoroalkyl substances (PFAS) in groundwater: occurrence, ecological impacts, analytical techniques, and remediation strategies","authors":"Giovanni Souza Casella ,&nbsp;Fares Zouaoui ,&nbsp;Florence Fourcade ,&nbsp;Florence Geneste ,&nbsp;Mariana Mendes Miranda ,&nbsp;Carolina Rodrigues dos Santos ,&nbsp;Luciana Alencar Cerqueira ,&nbsp;Gemima Santos Arcanjo ,&nbsp;Eduardo Coutinho de Paula ,&nbsp;Míriam Cristina Santos Amaral ,&nbsp;Victor Rezende Moreira","doi":"10.1016/j.jwpe.2025.108391","DOIUrl":"10.1016/j.jwpe.2025.108391","url":null,"abstract":"<div><div><em>Per</em>- and polyfluoroalkyl substances (PFAS) represent an extensive class of synthetic compounds known for their persistence due to extremely stable carbon‑fluorine bond, widely detected in aquifers worldwide (e.g.: PFOA 5650.2 ng/L and PFOS 203.3 ng/L, on average). Most of these compounds pose significant acute or chronic health risks. Besides this, the literature suggests that contamination by at least one PFAS is expected in all locations. Furthermore, PFAS plumes tend to be larger than those associated with hydrocarbons and volatile chlorinated organic compounds, and their remediation poses greater challenges due to limited understanding of their behavior, transformations, and remediation mechanism. Given the extent of the occurrence of these chemicals and their adverse effects, the need to develop detection and measurement techniques, in addition to remediation technologies, is evident. This review systematically examines literature published between 2014 and 2025, on Web of Science, Scopus, and Google Scholar databases, to address these limitations. It discusses the extent of PFAS contamination, their ecological effects, and the key mechanisms influencing their mobility and retention in subsurface environments. It also critically evaluates the latest advances in analytical techniques for PFAS detection and highlights emerging strategies for effective remediation in-situ, providing a base for further research and development.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"77 ","pages":"Article 108391"},"PeriodicalIF":6.3,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance and mechanism of potassium permanganate activation by percarbonate for enhancing short-chain fatty acid production in the anaerobic fermentation of waste-activated sludge","authors":"Zhengjiang Wang ,&nbsp;Huilin Luan ,&nbsp;Zhenlun Li ,&nbsp;Yifan Zeng","doi":"10.1016/j.jwpe.2025.108192","DOIUrl":"10.1016/j.jwpe.2025.108192","url":null,"abstract":"<div><div>Improving the production of short-chain fatty acids (SCFAs) via anaerobic fermentation of waste-activated sludge (WAS) using permanganate (PM) offers a sustainable approach for reducing carbon emissions and enhancing sludge management. However, the practical application of PM is hindered by its relatively low redox potential and its tendency to react with electron-rich compounds. In this study, the feasibility and underlying mechanism of a sodium percarbonate (SPC)–PM coupled strategy for enhancing SCFAs production were investigated. The results showed that SPC–PM treatment significantly increased SCFAs production while simultaneously inhibiting CH₄ formation. In the SPC (0.15 g/g TSS)–PM (0.2 g/g TSS) group, SCFA yield reached 4599.68 mg COD/L, representing increases of 3995 %, 167.98 %, and 118.05 % compared to the control (115.15 mg COD/L), SPC (2738.31 mg COD/L), PM (3896.29 mg COD/L), respectively. The SPC–PM treatment effectively disrupted WAS structure, released more dissolved organic matter for microbial metabolism. ·OH and Mn(III) were identified as the key reactive species facilitating solubilization in the SPC–PM system. Moreover, the treatment enhanced the activity of acetate kinase, α-glucosidase, and protease by 182.86 %, 371.08 %, and 112.55 %, respectively. CH₄ production was significantly suppressed to only 231.77 ppmv. Biochemical analysis revealed that the co-treatment enriched hydrolytic, acidogenic microbial communities and upregulated the expression of genes involved in organic matter hydrolysis, glycolysis, acetic acid metabolism.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"77 ","pages":"Article 108192"},"PeriodicalIF":6.3,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144696915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultrasonication degradation of per- and polyfluoroalkyl substances (PFAS) in synthetic environmental samples: Impact of ionic composition and water chemistry","authors":"Olalekan Simon Awoyemi ,&nbsp;Chiedza F. Munyeza ,&nbsp;Abhishek Sharma ,&nbsp;Ravi Naidu ,&nbsp;Cheng Fang","doi":"10.1016/j.jwpe.2025.108376","DOIUrl":"10.1016/j.jwpe.2025.108376","url":null,"abstract":"<div><div>This study investigates the effectiveness of ultrasonication in degrading per- and perfluoroalkyl substances (PFAS) in different water matrices, including seawater (SW) and creek water (CW), with the results compared to those obtained from control Milli-Q water (MQ). Various salts were introduced in a controlled manner to understand the influence of ionic background on the ultrasonic degradation of PFAS. Two experimental setups were employed to explore the role of water matrix and the applicability of the method to real-world scenarios. In the first setup, experiments were conducted using synthetic samples prepared by spiking SW and CW with perfluorooctanoic acid or PFOA, perfluorooctane sulfonate or PFOS, 6:2 fluorotelomer sulfonate or 6:2 FTS, aqueous film-forming foam (AFFF), and form fractionate (FF). In the second setup, PFAS-contaminated groundwater (GW) was ultrasonicated to evaluate the PFAS remediation in contaminated aquifers. The ultrasonic system achieved ∼82 % PFAS degradation removal in GW. Notably, the ultrasonic system achieved above 100 % defluorination in MQ and CW for AFFF and FF, suggesting complex degradation mechanisms and challenges in closing the mass balance. In contrast, SW showed lower defluorination (72 %/81 % for AFFF/FF), aligning with lower defluorination observed for individual PFAS in SW (2.3–56 %) compared to MQ (47–86 %) and CW (28–85 %). These results highlight the inhibitory effect of high salinity on the ultrasonic defluorination of PFAS.</div><div>Overall, the results underscore the role of water matrix composition in PFAS treatment and demonstrate the potential of ultrasonication as an effective remediation technique for PFAS across various aquatic environments.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"77 ","pages":"Article 108376"},"PeriodicalIF":6.3,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144696917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficient conversion of granite powder: synthesis of zeolite A for Cu(II) adsorption from acidic electropainting wastewater","authors":"Chuyi Ge ,&nbsp;Min Huang ,&nbsp;Jing Li ,&nbsp;Muyang Huang ,&nbsp;Bo Chen ,&nbsp;Shefeng Li ,&nbsp;Shenxu Bao","doi":"10.1016/j.jwpe.2025.108361","DOIUrl":"10.1016/j.jwpe.2025.108361","url":null,"abstract":"<div><div>As a silicon‑aluminum-rich solid waste, granite powder (GP) requires expanded utilization methods to mitigate the environmental impact caused by its storage. Given its compositional similarity to zeolites, non-adsorptive GP can be converted into highly active materials with strong adsorption capacity for heavy metal removal from wastewater. Building upon this potential, this study innovatively employed an alkali-hydrothermal synergistic method to convert GP into zeolite A (GPA) for Cu(II) adsorption in acidic electroplating wastewater. GPA was synthesized by mixing sodium hydroxide and sodium aluminate with GP, followed by calcination and hydrothermal crystallization. The optimal preparation parameters were identified: an alkali-to-GP mass ratio of 0.4, a Si/Al ratio of 1.12, a calcination temperature of 700 °C, and a crystallization time of 4 h. Response surface analysis revealed that the alkali-to-GP mass ratio had the most significant impact on adsorption performance. The results of batch experiments showed that the removal rate of GPA for 100 mg/L Cu(II) solution is 98.79 % at pH 3 and 25 °C. The theoretical maximum adsorption capacity was 134.6 mg/g. The removal mechanism was confirmed by adsorption kinetics and isotherm modeling, and the elimination of Cu(II) by GPA was a synergistic processing effect, which mainly relied on ion exchange (with Na⁺ and H⁺ as the main active sites) and hydroxyl complexation. GPA exhibited significant potential for treating acidic copper-containing electroplating wastewater, providing an efficient and sustainable approach for GP valorization in environmental applications.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"77 ","pages":"Article 108361"},"PeriodicalIF":6.3,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144696916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integration of NdVO4/h-BN nanocomposite for the sensitive electrochemical detection of N-methyl-p-aminophenol sulfate","authors":"Tse-Wei Chen ,&nbsp;Balasubramanian Akila ,&nbsp;Sakthivel Kogularasu ,&nbsp;Cheng-Di Dong ,&nbsp;Sivaprakash Sengodan ,&nbsp;Jaysan Yu ,&nbsp;Shen-Ming Chen ,&nbsp;Elayappan Tamilalagan ,&nbsp;Guo-Ping Chang-Chien","doi":"10.1016/j.jwpe.2025.108338","DOIUrl":"10.1016/j.jwpe.2025.108338","url":null,"abstract":"<div><div>Environmental sustainability is threatened by unregulated industrial effluent discharge, worsening ecosystem degradation. <em>N</em>-methyl-p-aminophenol sulfate (Metol), a widely utilized color-developing agent and hair dye industries, organic pollution that stays in the environment because it was disposed of in aquatic in an improper manner. In this study, fabricated neodymium vanadate/hexagonal boron nitride (NdVO₄/h-BN) for the sensitive detection of Metol. NdVO₄ has a tetragonal crystal structure and an h-BN-exhibited hexagonal crystal structure with the absence of any impurity phases. In addition, the results of the XRD, Raman, FTIR and XPS analyses show that NdVO₄ and h-BN were successfully integrated without the presence of any impurity phases. The electrocatalyst showed good sensitivity and selectivity, with a broad linear response range of 0.001–1731 μM and an ultralow detection limit of 0.35 nM. Furthermore, the sensor exhibited excellent repeatability (4times with RSD = ±1.98 %), reproducibility (5GCEs with RSD = ±2.49 %), and recovery efficiency (±96.15–99.47 %) in complex sample matrices. The applicability of the developed sensor was validated through the quantitative detection of Metol in real-world environmental samples, confirming its robustness and reliability. These results show that the sensor could be used to watch the environment on-site and check the quality of water regularly in wastewater treatment plants, surface water, and industrial effluent.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"77 ","pages":"Article 108338"},"PeriodicalIF":6.3,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deciphering the response of pyrite/sulfur autotrophic denitrification system to sulfamethoxazole and copper stress: Insights from microbial community and antibiotic resistance genes","authors":"Zhenyu Wang ,&nbsp;Xuejiang Wang ,&nbsp;Zaoli Gu ,&nbsp;Ben Dai ,&nbsp;Jianzhuo Zhou ,&nbsp;Dianhai Yang ,&nbsp;Siqing Xia","doi":"10.1016/j.jwpe.2025.108390","DOIUrl":"10.1016/j.jwpe.2025.108390","url":null,"abstract":"<div><div>Antibiotics disrupt microbial community in biological treatment systems and promote development of antibiotic resistance genes (ARGs), with heavy metals amplifying these risks. This study developed three autotrophic denitrification systems driven by solid electron donors (pyrite, Rp; elemental sulfur, Rs; mixture of pyrite and elemental sulfur, Rm) to investigate the effects of sulfamethoxazole (SMX) and the combined stress of Cu(II). Results indicated that 0.2–5 mg/L SMX minimally affected the nitrogen removal efficiency of Rm (99.18 %–99.66 %), but 5 mg/L SMX and 1 mg/L Cu(II) co-stress reduced it to 93.82 %, while Rs maintained excellent performance (99.25 %–99.27 %) and Rp consistently underperformed (20.67 %–22.39 %). Excitation-emission matrix-parallel factor analysis suggested that Cu(II) inhibited metabolic activity, reflected by decreased soluble microbial product contents. Stochastic processes mainly governed community assembly, with drift driving the shift from <em>Thiobacillus</em> to <em>Ferritrophicum</em> in Rs and Rm, while diffusion limitation dispersed bacterial composition in Rp. Rm exhibited the most complex ecological network dominated by microbial cooperation. Despite the downregulation of denitrification and sulfur oxidation genes under stress, upregulated ABC transport and electron transport genes (especially in Rs/Rm) likely ensured stable nitrogen removal. Additionally, SMX persistently enriched ARGs, exacerbated by Cu(II), yet surprisingly, pyrite proportion negatively correlated with ARGs abundance. Compared to Rs, Rm significantly lessened the potential ARGs hosts, while Rp showed no multi-ARG hosts. This study offers valuable insights into the microbial community response and ARGs spread in solid-phase autotrophic denitrification systems under antibiotic and heavy metal stress.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"77 ","pages":"Article 108390"},"PeriodicalIF":6.3,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}