ACS ES&T water最新文献_第4页

Beyond the Bulk: Fraction-Specific Total Organic Carbon Profiling for Proactive Water Quality Management 超越体积：主动水质管理的部分特定总有机碳分析

IF 4.5

ACS ES&T water Pub Date : 2026-10-09 Epub Date: 2026-09-07 DOI: 10.1021/acsestwater.6c00975

Letícia Reggiane de Carvalho Costa, Lin Li, Yasha Jathan, Laura Haak, Meena Ejjada, Bahram Vahedi, Ben Ma, Krishna R. Pagilla

{"title":"Beyond the Bulk: Fraction-Specific Total Organic Carbon Profiling for Proactive Water Quality Management","authors":"Letícia Reggiane de Carvalho Costa, Lin Li, Yasha Jathan, Laura Haak, Meena Ejjada, Bahram Vahedi, Ben Ma, Krishna R. Pagilla","doi":"10.1021/acsestwater.6c00975","DOIUrl":"https://doi.org/10.1021/acsestwater.6c00975","url":null,"abstract":"Total organic carbon (TOC) is widely used to monitorwater quality,but its value as a single metric is increasingly limited in watermanagement. Bulk TOC does not distinguish organic fractions with differentreactivities and associated risks, limiting its ability to predictdisinfection byproduct (DBP) formation, microbial regrowth, and biofouling.Fraction-based characterization addresses these limitations by resolvingbulk TOC into operationally defined fractions, transforming a conventionalcompliance water-quality metric into a more precise diagnostic tool.This review critically synthesizes current knowledge on TOC profilingand its implications for water treatment, evaluating fractionationmethods, source water variability, and the roles of organic fractionsin DBP formation and biofouling. The synthesis demonstrates that waterquality risks are governed not only by the TOC concentration but alsoby the distribution and transformation of specific fractions throughouttreatment systems. Hydrophobic and aromatic fractions dominate DBPprecursors, while low-molecular-weight fractions are key drivers ofmicrobial regrowth and biofouling. Finally, this review identifiesknowledge gaps and opportunities to advance the TOC profile as a process-optimizingtool for water quality management by integrating surrogate indicatorsfor practical application in full-scale water systems.","PeriodicalId":93847,"journal":{"name":"ACS ES&T water","volume":"6 10","pages":"6197–6215"},"PeriodicalIF":4.5,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149153113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Radionuclide Speciation in the Chornobyl NPP Cooling Pond Bed Following Drawdown 沉降后切尔诺贝利核电站冷却池床中的放射性核素形态

IF 4.5

ACS ES&T water Pub Date : 2026-10-09 Epub Date: 2026-09-25 DOI: 10.1021/acsestwater.6c00466

Valentyn Protsak, Oleksii Odintsov, Gennady Laptev, Volodymyr Kanivets, Yasunori Igarashi, Nadiia Prokopchuk, Oleksandr Pylypenko, Gregory Derkach, Igor Maloshtan, Kyrylo Korychenskyi, Leonid Abarbarchuk, Serhii Kirieiev, Jim Smith

{"title":"Radionuclide Speciation in the Chornobyl NPP Cooling Pond Bed Following Drawdown","authors":"Valentyn Protsak, Oleksii Odintsov, Gennady Laptev, Volodymyr Kanivets, Yasunori Igarashi, Nadiia Prokopchuk, Oleksandr Pylypenko, Gregory Derkach, Igor Maloshtan, Kyrylo Korychenskyi, Leonid Abarbarchuk, Serhii Kirieiev, Jim Smith","doi":"10.1021/acsestwater.6c00466","DOIUrl":"https://doi.org/10.1021/acsestwater.6c00466","url":null,"abstract":"The cooling pond (CP) at the Chornobyl nuclear powerplant (ChNPP)is one of the most heavily contaminated radioactive water bodies inthe Chornobyl exclusion zone (ChEZ). This study investigates the geochemicalbehavior of irradiated nuclear fuel particles (FPs) and associatedradionuclides in the CP sediments in response to the pond drawdown.Unlike in terrestrial environments, the conditions in water bodiesslow the destruction of FPs. Sequential extraction of sediment samplesconfirms that a significant proportion of the radionuclide activityremains confined within the matrixes of the FPs. Contrary to previouspredictions, the drained zones of the pond have maintained an alkalinepH of 8 instead of the anticipated acidification to pH 5, chieflybecause of the buffering effect of the degradation of Dreissena mussel shells. Exposure of FPs in the drained areas has led to increasedleaching of radionuclides, which has caused the residual water bodiesto become contaminated via overbank runoff. The quasi-uniform distributionof FPs observed in the bottom sediment profile suggests ongoing redistributiondriven by wind-induced resuspension (trans-sedimentation) and methaneoff-gassing (ebullition). Understanding the long-term behavior ofFPs in aquatic environments following nuclear accidents is essentialfor improving future risk assessments and remediation strategies.","PeriodicalId":93847,"journal":{"name":"ACS ES&T water","volume":"6 10","pages":"6339–6353"},"PeriodicalIF":4.5,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149153216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Per- and Polyfluoroalkyl Substances in Surface Water and Fluvial Sediments of a Rural Gulf Coast Watershed: A Year-long Spatiotemporal Assessment 墨西哥湾沿岸农村流域地表水和河流沉积物中的全氟烷基和多氟烷基物质：一年的时空评估

IF 4.5

ACS ES&T water Pub Date : 2026-10-09 Epub Date: 2026-09-28 DOI: 10.1021/acsestwater.6c00886

Chloe A. Rodriguez, Michael Schramm, Shaylynn Postma, Thomas J. McDonald, Candice Brinkmeyer-Langford, Xingmao Ma

{"title":"Per- and Polyfluoroalkyl Substances in Surface Water and Fluvial Sediments of a Rural Gulf Coast Watershed: A Year-long Spatiotemporal Assessment","authors":"Chloe A. Rodriguez, Michael Schramm, Shaylynn Postma, Thomas J. McDonald, Candice Brinkmeyer-Langford, Xingmao Ma","doi":"10.1021/acsestwater.6c00886","DOIUrl":"https://doi.org/10.1021/acsestwater.6c00886","url":null,"abstract":"Per- and polyfluoroalkylsubstances (PFAS) are persistent contaminantsof significant health concern. This study quantified the spatiotemporaloccurrence of 40 PFAS in surface water and fluvial sediments acrossthe Lavaca Watershed and Lavaca Bay, Texas, a rural Gulf Coast systemwith limited potential point sources. Monthly sampling was conductedat 12 sites from January to December 2025, and samples were analyzedfollowing U.S. Environmental Protection Agency (EPA) Method 1633A.Surface water exhibited low PFAS detection frequency, and detectionswere dominated by short-chain compounds. Two widely studied legacyPFAS, perfluorooctanoic acid (PFOA) and perfluorooctanesulfonic acid(PFOS), were absent from all water samples. In contrast, sedimentsexhibited greater compound diversity and more frequent detection oflong-chain PFAS, indicating preferential partitioning and long-termretention within benthic deposits. Spatially, upstream sites showedhigher detection frequencies and analyte diversity than downstreamtidal and estuarine locations, consistent with dilution and mixingalong the fluvial-estuarine continuum. Temporal variability was episodicand not directly associated with instantaneous high-flow conditions,suggesting that PFAS transport is likely influenced by a variety ofhydrologic factors collectively. Overall, PFAS occurrence in thisrural coastal watershed varies across space and time, influenced byboth hydrologic forcing and phase partitioning behavior.","PeriodicalId":93847,"journal":{"name":"ACS ES&T water","volume":"6 10","pages":"6739–6749"},"PeriodicalIF":4.5,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149153225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Recent Advances in Plasma Electrochemistry for Removal of Emerging Contaminants from Water 等离子体电化学去除水中新出现污染物的研究进展

IF 4.5

ACS ES&T water Pub Date : 2026-10-09 Epub Date: 2026-09-30 DOI: 10.1021/acsestwater.5c01334

Gang Li, Ronald D. White, Gregory J. Boyle, Mohan V. Jacob, Yang Liu

{"title":"Recent Advances in Plasma Electrochemistry for Removal of Emerging Contaminants from Water","authors":"Gang Li, Ronald D. White, Gregory J. Boyle, Mohan V. Jacob, Yang Liu","doi":"10.1021/acsestwater.5c01334","DOIUrl":"https://doi.org/10.1021/acsestwater.5c01334","url":null,"abstract":"Emerging contaminants (ECs) in aquatic environments,includingper- and polyfluoroalkyl substances (PFAS), pharmaceuticals and personalcare products (PPCPs), pesticides, and microplastics, pose significantthreats to ecosystems and human health due to their bioaccumulativenature, persistence, and high toxicity. Plasma electrochemistry hasrecently emerged as a promising technology for degrading ECs in aqueousenvironments. By generating plasma in contact with water, this methodinduces chemical reactions that produce reactive species in situ,such as hydrated electrons (eaq–), reactive oxygen species (ROS), and reactive nitrogen species (RNS),which facilitate the degradation of ECs. However, significant challengesremain, such as understanding the formation and functionality of variousreactive species at the plasma-liquid interface. This review summarizesadvancements over the past three years in applying plasma electrochemistryfor removing PFAS, PPCPs, pesticides, and microplastics from water,reflecting the rapid growth of research in response to the urgentneed for more effective and sustainable treatment of ECs. It providesa detailed discussion of the roles of reactive species, plasma generationin various reactor configurations, and the underlying degradationmechanisms. Additionally, the challenges and prospects of plasma electrochemistryfor ECs treatment are outlined.","PeriodicalId":93847,"journal":{"name":"ACS ES&T water","volume":"6 10","pages":"6103–6123"},"PeriodicalIF":4.5,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149153257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multivariable Investigation of Physicochemical Drivers Influencing Opportunistic Pathogens in Drinking Water 影响饮用水中条件致病菌的理化因素的多变量研究

IF 4.5

ACS ES&T water Pub Date : 2026-10-09 Epub Date: 2026-09-23 DOI: 10.1021/acsestwater.6c00639

Hyeok Kim, Juliana Marks, Hyun-Suk Oh, Rabin Bhattarai, Thanh H. Nguyen

{"title":"Multivariable Investigation of Physicochemical Drivers Influencing Opportunistic Pathogens in Drinking Water","authors":"Hyeok Kim, Juliana Marks, Hyun-Suk Oh, Rabin Bhattarai, Thanh H. Nguyen","doi":"10.1021/acsestwater.6c00639","DOIUrl":"https://doi.org/10.1021/acsestwater.6c00639","url":null,"abstract":"Opportunistic pathogens (OPs) in drinking water distributionsystems(DWDS) and premise plumbing pose health risks. Effective managementrequires understanding the associations between physicochemical parametersand OP occurrence. This study applied machine learning (ML) modelsto explore relationships between physicochemical parameters (e.g.,pH, temperature), OPs (Legionella spp., Pseudomonas spp., and Mycobacterium spp.), and the free-living amoeba Vermamoeba vermiformis. eXtreme Gradient Boosting, Random Forest (RF), and Support VectorRegression were optimized using cross-validation to predict qPCR-derivedcell-equivalent (CE) concentrations, and Shapley Additive exPlanations(SHAP) were used to interpret predictor contributions. For Legionella spp., the RF model achieved the best testperformance (R2 = 0.80). SHAP analysis identified pH, freechlorine, and water temperature as the most influential predictorsof Legionella spp. CE concentrations.Lower free chlorine concentrations and pH values above the pKa of OCl– were associatedwith higher Legionella spp. CE concentrations. V. vermiformis and Mycobacterium spp. showed a strong association in the ML models, consistent withpreviously reported biological interactions. Across individual andcombined data sets, free chlorine consistently influenced model outputs,whereas differing pH and temperature ranges altered their relativeimportance. Overall, ML provided a framework for identifying associationsbetween environmental conditions and OP occurrence in DWDS and premiseplumbing.","PeriodicalId":93847,"journal":{"name":"ACS ES&T water","volume":"6 10","pages":"6460–6469"},"PeriodicalIF":4.5,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149152969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unraveling BOD Decay Kinetics in Dynamic Gray Water Footprint for Time-Explicit Wastewater Assessment 动态灰水足迹中BOD衰减动力学的时间显式废水评价

IF 4.5

ACS ES&T water Pub Date : 2026-10-09 Epub Date: 2026-08-28 DOI: 10.1021/acsestwater.6c00730

Keivan Arastou

{"title":"Unraveling BOD Decay Kinetics in Dynamic Gray Water Footprint for Time-Explicit Wastewater Assessment","authors":"Keivan Arastou","doi":"10.1021/acsestwater.6c00730","DOIUrl":"https://doi.org/10.1021/acsestwater.6c00730","url":null,"abstract":"ConventionalGray Water Footprint (GWF) assessment provides a staticsnapshot of pollution intensity at the point of discharge, ignoringthe decay of biodegradable pollutants over time. This study introducesa dynamic GWF (GWFt) framework that integrates first-orderdecay kinetics with conventional GWF theory and derives four novelmetrics: recovery time, recovery distance, impact half-life, and cumulativeimpact (area under the curve, AUC). The framework was applied to amunicipal wastewater treatment plant (WWTP) in Iran using biochemicaloxygen demand (BOD) as the target pollutant. Conventional assessmentgave a static GWF ratio (GWFr) of 0.96, suggesting theeffluent discharge was acceptable. The dynamic framework revealedthat recovery instead required 24.1 days at 20 °C (AUC: 1,376,000m3·days), with an impact zone of 1041 km, more thantwice the river’s length; in winter, these values nearly doubledto 47.0 days and 2030 km. Raw wastewater recovered faster (22.4 days)than treated effluent (24.1 days) despite a 7-fold higher ultimateBOD, because treatment removes readily degradable organics, leavinga smaller but more recalcitrant residual. Treatment reduced impactintensity by 86% but slightly increased recovery duration. These findingssupport incorporating recovery time, impact-zone length, and seasonaladjustments into discharge permitting frameworks.","PeriodicalId":93847,"journal":{"name":"ACS ES&T water","volume":"6 10","pages":"6565–6575"},"PeriodicalIF":4.5,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149153035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Photogranule-Based Sequencing Batch Reactor for Safer Textile Effluent Management: Coupling Pollutant Removal with Detoxification 基于光颗粒的序批式反应器用于更安全的纺织废水管理：将污染物去除与解毒耦合

IF 4.5

ACS ES&T water Pub Date : 2026-10-09 Epub Date: 2026-07-28 DOI: 10.1021/acsestwater.6c00283

Vivek Kumar Nair, Aman Chaudhary, Anushree Malik, Pooja Ghosh, Rajamani Paulraj

{"title":"Photogranule-Based Sequencing Batch Reactor for Safer Textile Effluent Management: Coupling Pollutant Removal with Detoxification","authors":"Vivek Kumar Nair, Aman Chaudhary, Anushree Malik, Pooja Ghosh, Rajamani Paulraj","doi":"10.1021/acsestwater.6c00283","DOIUrl":"https://doi.org/10.1021/acsestwater.6c00283","url":null,"abstract":"The current study investigates a photosequencing batchreactor(PSBR) operated for 120 days using photogranules (PGs) as a sustainabletertiary treatment alternative for textile effluent. Following aninitial adaptation phase of approximately 20 days, the PSBR showedstable phosphate (72.75 ± 9.8%), ammoniacal nitrogen (90.94 ±5.64%), and COD (76.75 ± 6.4%) removal. Granule size increasedfrom ∼1.5 ± 0.4 mm at day 0 to ∼3.5 ± 0.8mm at day 120, enhancing settleability, as indicated by a progressivedecline in SVI5 from 55.5 ± 2.5 to 30 ± 2 mL/g.The Chl a/b ratio increased from 3.64 to 7.71, confirming the dominanceof cyanobacteria, which played a key role in granule structure, biomassretention, and pollutant removal. MLSS steadily increased, reaching5.1 ± 0.45 g/L at day 120, demonstrating sustained biomass growthand reactor stability. Furthermore, a comprehensive toxicologicalassessment using multiple bioassays confirmed significant detoxificationin the photogranule-treated effluent (PTE). The PTE demonstrated minimaltoxicity across various end points in Artemia salina (immobilization ∼10%), Lemna minor (biomass inhibition ∼4%), Lactuca sativa (seed germination index 93%), and Allium cepa (4% chromosomal aberration rate). Moreover, the low IBR value (1.2)for the PTE in the Allium cepa bioassayindicates substantially reduced toxicity under the tested end points.","PeriodicalId":93847,"journal":{"name":"ACS ES&T water","volume":"6 10","pages":"6269–6281"},"PeriodicalIF":4.5,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149152986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bioindicator for the Sources and Drivers of Carbon Dioxide and Dissolved Methane Concentrations in Urban Rivers 城市河流中二氧化碳和溶解甲烷浓度来源及驱动因素的生物指示因子

IF 4.5

ACS ES&T water Pub Date : 2026-10-09 Epub Date: 2026-09-07 DOI: 10.1021/acsestwater.6c00922

Wei Tang, Y. Jun Xu, Siyue Li

{"title":"Bioindicator for the Sources and Drivers of Carbon Dioxide and Dissolved Methane Concentrations in Urban Rivers","authors":"Wei Tang, Y. Jun Xu, Siyue Li","doi":"10.1021/acsestwater.6c00922","DOIUrl":"https://doi.org/10.1021/acsestwater.6c00922","url":null,"abstract":"Rivers draining urban areas are reported to be a noteworthysourceof atmospheric greenhouse gases (GHGs), yet the drivers of carbondioxide partial pressure (pCO2) and dissolvedmethane (dCH4) remain unclear in urbanrivers. This study identified key controls of biotic and abiotic driversacross urbanization gradients. pCO2 and dCH4 increased with urbanization intensity, alongsidesewage-associated biotic variables (Bacteroidales abundance, RAB; Methylocystis abundance) and abiotic factors (electricalconductivity, dissolved organic carbon, total dissolved nitrogen,total dissolved phosphorus, chlorophyll a). In highly urban segments,abiotic factors explained 87% of pCO2 variation,while RAB explained 95% of dCH4 variation,pointing to sewage inputs as a major methane source. Seasonally, pCO2 showed comparable averages but a wider rangein the wet season. Dissolved oxygen was negatively correlated with pCO2, explaining 65% (wet) and 58% (dry) of thevariation, indicating biological metabolic control. The negative relationbetween dCH4 and methane monooxygenase(MMO) abundance suggests biological oxidation regulation. A significantlylower dCH4 in the wet season was linkedto higher MMO and faster flow. Overall, including biological factorsand bioindicators improves understanding of pCO2 and dCH4 sources and driversin urban rivers.","PeriodicalId":93847,"journal":{"name":"ACS ES&T water","volume":"6 10","pages":"6785–6795"},"PeriodicalIF":4.5,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149153115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exformer: A Transformer-Based Forecasting Framework with Temporal Knowledge Assistance for Multistep Multivariate Influent Prediction in Wastewater Treatment Plants 转换器：一种基于变压器的多步骤多变量污水处理厂进水预测的时间知识辅助预测框架

IF 4.5

ACS ES&T water Pub Date : 2026-10-09 Epub Date: 2026-09-30 DOI: 10.1021/acsestwater.6c00503

Ziqing Ye, Qilin Wang, Yiqi Liu

{"title":"Exformer: A Transformer-Based Forecasting Framework with Temporal Knowledge Assistance for Multistep Multivariate Influent Prediction in Wastewater Treatment Plants","authors":"Ziqing Ye, Qilin Wang, Yiqi Liu","doi":"10.1021/acsestwater.6c00503","DOIUrl":"https://doi.org/10.1021/acsestwater.6c00503","url":null,"abstract":"Accurateforecasting of influent flow rates and waterquality isof great importance to facilitate wastewater treatment plants (WWTPs)towards early fault warning and optimal operations. However, due tothe seasonality, complex multivariate nexus and inherent disturbances,the predictive performance of WWTP influent is often unsatisfactory,particularly for multistep forecasting. This limitation usually frustratesthe practical utility of such models for operational guidance anddecision-making. To address these challenges, this study proposesa Transformer-based forecasting framework called Exformer. The frameworkemploys a Channel-Independent (CI) representation strategy to preservevariable-specific temporal characteristics and reduce cross-variableinterference. In addition, a Temporal Knowledge Guided Attention (TKGA)mechanism incorporates temporal prior knowledge into the attentionprocess to enhance long-range dependency modeling. The proposed frameworkis evaluated on both the Benchmark Simulation Model No.2 (BSM2) datasetand a real-world WWTP dataset collected from Dongguan, China, underforecasting horizons of 6, 12, 24, and 48 steps. The experimentalresults show that Exformer delivers competitive performance acrossdifferent forecasting horizons, with increasingly pronounced advantagesat longer horizons, particularly at 24 and 48 steps. Additional robustness,interpretability, reliability and ablation analyses further demonstratethe effectiveness of Exformer for practical wastewater influent forecastingapplications.","PeriodicalId":93847,"journal":{"name":"ACS ES&T water","volume":"6 10","pages":"6374–6390"},"PeriodicalIF":4.5,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149153199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Microalgae-Immobilized Fe-CNF in an Activated Carbon Beads-Packed Photo-Modulated Bioreactor: Valorization of Nitrate-Enriched Water to Protein-Rich Biomass 微藻-固定化Fe-CNF在活性炭球包装光调生物反应器中的应用：富硝酸盐水向富蛋白质生物质的转化

IF 4.5

ACS ES&T water Pub Date : 2026-10-09 Epub Date: 2026-09-15 DOI: 10.1021/acsestwater.6c00269

Afjal Ansari, Tamojit Santra, Santosh Kumar Misra, Saravanan Matheshwaran, Nishith Verma

{"title":"Microalgae-Immobilized Fe-CNF in an Activated Carbon Beads-Packed Photo-Modulated Bioreactor: Valorization of Nitrate-Enriched Water to Protein-Rich Biomass","authors":"Afjal Ansari, Tamojit Santra, Santosh Kumar Misra, Saravanan Matheshwaran, Nishith Verma","doi":"10.1021/acsestwater.6c00269","DOIUrl":"https://doi.org/10.1021/acsestwater.6c00269","url":null,"abstract":"Sequestrationof nitrate-enriched water to intracellular proteinsis an attractive route to producing value-added products from a bioresource.This study presents a novel strategy for the remediation of nitrate-enrichedfeedwater with the concomitant valorization to intracellular proteinby immobilizingChlorella vulgarisoniron (Fe)-carbon nanofiber (CNF)-modified activated carbon beads (ACBs)as the packing material in a photo-modulated bioreactor (PBR) operatedunder flow conditions. The sequestration of the feedwater producesprotein-rich biomass via an ammonia generation pathway. CNFs augmentthe exposure of iron, an essential micronutrient for microalgae, asa dynamic biofilm at the bead surface. Reduction of nitrate to ammoniaoccurs in light, while the assimilation of ammonia to amino acidsand proteins occurs in the dark. The effects of operating conditions,viz., photoperiods (0–24 h light–dark), nitrate concentrations(0.05–0.2 M), flow rates (0.5–2 cc/min), and the Fe-CNF/ACBamounts (10–50 g), on nitrate consumption, biomass production,and intracellular protein accumulation are determined. The resultsreveal a biomass yield of 2.6 mg/mL and protein concentration of 0.44mg/mL under the optimized operating conditions. This study presentsa translatable strategy for the generation of value-added productswith potential water purification ability.","PeriodicalId":93847,"journal":{"name":"ACS ES&T water","volume":"6 10","pages":"6256–6268"},"PeriodicalIF":4.5,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149153154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0