Wen-Qian Wang , Yong-Mei Wang , Xiao-Chi Feng , How Yong Ng , Nan-Qi Ren
{"title":"Quorum sensing for carbon-neutral wastewater treatment: Mechanisms, challenges, technological pathways, and future prospects","authors":"Wen-Qian Wang , Yong-Mei Wang , Xiao-Chi Feng , How Yong Ng , Nan-Qi Ren","doi":"10.1016/j.ese.2026.100701","DOIUrl":"10.1016/j.ese.2026.100701","url":null,"abstract":"<div><div>Global climate targets demand a rapid transition to carbon neutrality across all industrial sectors, including wastewater management. Wastewater treatment plants are historically energy-intensive and remain significant sources of potent greenhouse gases, primarily nitrous oxide (N<sub>2</sub>O) and methane (CH<sub>4</sub>). Recent biological interventions have targeted quorum sensing (QS)—a microbial communication mechanism regulating gene expression and community behavior—to optimize biological treatment efficiency. However, the highly context-dependent and sometimes paradoxical effects of QS on simultaneous greenhouse gas mitigation and energy recovery remain poorly resolved. Here we synthesize recent advancements to show that QS operates as a master biological regulator of both direct emissions and energy consumption in wastewater ecosystems. Evidence indicates that QS distinctly modulates N<sub>2</sub>O production through concentration- and signal-dependent pathways, while actively suppressing CH<sub>4</sub> escape and enhancing aerobic granulation to cut aeration energy demands. Furthermore, targeted QS deployment in anaerobic digestion accelerates direct interspecies electron transfer, substantially boosting methane recovery to offset operational energy use. These insights reveal that manipulating microbial social networks presents a viable, albeit complex, biological lever for balancing emission reductions with energy optimization. Ultimately, precision control of QS systems offers a transformative technological pathway for achieving carbon-positive wastewater infrastructure.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"31 ","pages":"Article 100701"},"PeriodicalIF":14.3,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147956793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Electron transfer drives hydroxyl radical formation in peroxone reactions","authors":"Yishi Wang, Wei Qiu, Yongbo Yu, Jun Ma","doi":"10.1016/j.ese.2026.100704","DOIUrl":"10.1016/j.ese.2026.100704","url":null,"abstract":"<div><div>Ozone is a powerful oxidant widely used in water treatment for the degradation of organic pollutants and removal of colour, odor, and pathogens. In aqueous solution, ozone decomposes to generate hydroxyl radicals through chain reactions that are accelerated by the addition of hydrogen peroxide in the peroxone process. Yet the precise initiation mechanisms of these chains and the efficiency of hydroxyl radical production have remained controversial, with prior models proposing adduct formation as the rate-limiting step and yielding only approximately 50% hydroxyl radicals in peroxone process. Here we show that the hydroxyl radical yield in the peroxone reaction is approximately 67%, substantially higher than previously reported. Through complete-capture scavenger assays, competition experiments, and high-precision quantum-chemical calculations informed by Marcus electron-transfer theory, we establish that ozone reacts with hydroxide exclusively by oxygen-atom transfer, while its reaction with the hydroperoxide anion proceeds through parallel electron transfer (approximately 50%) and oxygen-atom transfer (approximately 50%) pathways. Spin-orbit coupling enables spin-forbidden release of triplet oxygen in the atom-transfer channel. We also determine the p<em>K</em><sub>a</sub> of the hydroxyl radical precursor hydrotrioxide as approximately 6.15 and quantify the long-disputed hydroxyl radical–ozone reaction rate constant as 1.1 × 10<sup>8</sup> M<sup>−1</sup> s<sup>−1</sup>. These results revise classical ozonation and peroxone mechanisms and provide a mechanistic foundation for optimizing ozone-based advanced oxidation technologies for water purification.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"31 ","pages":"Article 100704"},"PeriodicalIF":14.3,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147956917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}
Rui Shen , Ralf Ebinghaus , Daniel Giddings Vassão , Norman Ratcliffe , Thomas Larsen
{"title":"Oceanographic regime and foraging behaviour structure compound-specific PFAS variability in arctic-atlantic guillemots","authors":"Rui Shen , Ralf Ebinghaus , Daniel Giddings Vassão , Norman Ratcliffe , Thomas Larsen","doi":"10.1016/j.ese.2026.100707","DOIUrl":"10.1016/j.ese.2026.100707","url":null,"abstract":"<div><div>Current chemical exposures studies characterise chemical risk through mean-based concentrations, treating individual-level variability as statistical noise. However, this variability may carry structured ecological information that mean-based approaches systematically overlook. Here, we propose that individual per- and polyfluoroalkyl substance (PFAS) exposure variability constitutes a structured ecological signal, shaped by habitat use across oceanographic gradients and individual foraging behaviour, one that mean-based approaches are not designed to capture. To test the variability-as-signal hypothesis, we integrated two independent indices of individual stability using two sympatric guillemot species (<em>Uria aalge, n = 67</em> and <em>Uria lomvia, n = 45</em>) sampled across five Icelandic colonies during the 2018 breeding season. We paired PFAS variability scores, derived from plasma PFAS concentrations, with isotopic consistency scores derived from dual-tissue stable isotopes (δ<sup>13</sup>C and δ<sup>15</sup>N in plasma and red blood cells). These consistency scores represent individual foraging stability across the breeding season, enabling a reconstruction of foraging histories and oceanographic habitat use. Our results reveal that PFAS variability is highly structured by compound class, dominated by long-chain perfluoroalkyl carboxylic acids (PFCAs; 79% of variance) and perfluorooctane sulfonate (PFOS; 13%). Cluster analysis identified two main divergent exposure states: constrained PFOS variability versus constrained PFCA variability. Bivariate segmented regression revealed a hierarchical structure to contaminant acquisition: oceanographic regime (proxied by δ<sup>13</sup>C<sub>consist</sub>) functioned as the primary driver, with PFOS variability intensifying in Atlantic-influenced waters. Within these regimes, trophic sources (proxied by δ<sup>15</sup>N<sub>consist</sub>) emerged as a secondary, conditional modulator, specifically constraining PFCA variability among high-trophic individuals. At the colony scale, fine-scale niche partitioning, such as vertical foraging strategies and individual specialisation using glacial fjords and ice margins, produced compound-specific patterns that diverged from regional hierarchies. As climate change continues to redistribute Arctic and Atlantic water masses and reshape the food web structures, approaches that treat contaminant variability as ecological signal will be increasingly valuable for anticipating exposure regime shifts.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"31 ","pages":"Article 100707"},"PeriodicalIF":14.3,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148001363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}
Wei Xing , Jianfeng Liu , Bin Liu , Yanan Hou , Jia Zhang , Shuang Gao , Ai-Jie Wang , Qianqian Yuan , Nan-Qi Ren , Cong Huang
{"title":"Enzyme-constrained genome-scale modeling resolves growth-production trade-offs in fermentative biohydrogen production","authors":"Wei Xing , Jianfeng Liu , Bin Liu , Yanan Hou , Jia Zhang , Shuang Gao , Ai-Jie Wang , Qianqian Yuan , Nan-Qi Ren , Cong Huang","doi":"10.1016/j.ese.2026.100706","DOIUrl":"10.1016/j.ese.2026.100706","url":null,"abstract":"<div><div>Hydrogen is central to sustainable energy systems, with biological production from waste offering a low-energy, environmentally compatible route. Anaerobic dark fermentation by microbes converts organic substrates into hydrogen, yet yields remain limited by competing metabolic pathways and poor understanding of cellular resource allocation in hydrogen-producing strains. Conventional genome-scale models rely on stoichiometric constraints alone, often failing to capture realistic enzyme limitations or strain-specific biomass composition. Here we show that an enzyme-constrained genome-scale metabolic model (ecGEM) of the hydrogen-producing bacterium <em>Ethanoligenens harbinense</em> YUAN-3, built with experimentally measured biomass composition and predicted <em>k</em><sub>cat</sub> values, quantitatively captures the trade-off between growth and hydrogen production. Enzyme constraints eliminate unrealistic flux predictions of standard models, accurately matching experimental growth rates and yields, and reveal that diversion of carbon and NADH flux into glutamate and glutamine biosynthesis enhances hydrogen production by reducing ethanol formation. In silico single-gene knockouts identify targets such as phosphoglycerate kinase that increase hydrogen flux by up to 30% under low-carbon conditions. These findings elucidate system-level metabolic regulation in fermentative hydrogen production and provide a predictive framework for rational strain engineering. The approach offers a scalable platform for optimizing biohydrogen processes and advancing sustainable hydrogen economies.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"31 ","pages":"Article 100706"},"PeriodicalIF":14.3,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148001361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}
Bohan Liu , Jun Nan , Rongcheng He , Haiyang Wei , Tianyi Zhao , Yibo Zhang , Ruixue Jiang , Fangmin Wu , Zhencheng Ge , Xuesong Ye , Wei Wang , Jun Ma
{"title":"Trace lanthanum activation drives deep biological phosphorus removal","authors":"Bohan Liu , Jun Nan , Rongcheng He , Haiyang Wei , Tianyi Zhao , Yibo Zhang , Ruixue Jiang , Fangmin Wu , Zhencheng Ge , Xuesong Ye , Wei Wang , Jun Ma","doi":"10.1016/j.ese.2026.100708","DOIUrl":"10.1016/j.ese.2026.100708","url":null,"abstract":"<div><div>Eutrophication driven by excessive phosphorus discharge threatens global aquatic ecosystems. Enhanced biological phosphorus removal (EBPR) is a sustainable, widely deployed wastewater treatment technology, yet it often requires optimization to meet increasingly stringent global phosphorus emission standards. Conventional chemical supplements can achieve deep phosphorus removal, but they require excessive dosing, generate large volumes of sludge, and can inhibit the essential polyphosphate-accumulating organisms (PAOs) that drive biological treatment. Here we show that a low-dose, slow-release lanthanum aerogel (LZGA) activates PAO metabolism, enabling deep biological phosphorus removal with a near-zero chemical footprint. By releasing La<sup>3+</sup> into sequencing batch reactors, the LZGA platform reduced effluent total phosphorus from 0.85 mg L<sup>−1</sup> to 0.14 mg L<sup>−1</sup> at an optimal dose of 15 mg L<sup>−1</sup>. This represents a two-order-of-magnitude reduction in chemical consumption compared to conventional precipitation methods, requiring 0.7 g of lanthanum to treat one ton of wastewater. Proteomic and microbial analyses reveal that trace La<sup>3+</sup> stimulates potassium channels, upregulating key energy metabolism pathways and driving an order-of-magnitude increase in the protein expression of the core PAO <em>Candidatus</em> Accumulibacter. Furthermore, the system enhances extracellular polymeric substance (EPS) production, and improves the phosphorus absorption capacity of EPS. These findings demonstrate that targeted trace-metal activation of microbial metabolic pathways offers a strategy to upgrade existing bioreactors. This strategy provides a versatile paradigm for global wastewater management and advanced eutrophication control.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"31 ","pages":"Article 100708"},"PeriodicalIF":14.3,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148001362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}
Peilei Zhou , Feng Sun , Lishan Xu , Qingshan Liu , Jia Xu
{"title":"Phase-change photothermal foam enables continuous hypersaline brine desalination","authors":"Peilei Zhou , Feng Sun , Lishan Xu , Qingshan Liu , Jia Xu","doi":"10.1016/j.ese.2026.100696","DOIUrl":"10.1016/j.ese.2026.100696","url":null,"abstract":"<div><div>Seawater desalination is critical for mitigating global freshwater scarcity, yet the discharge of high-salinity brine causes severe ecological and economic issues. Solar-driven interfacial evaporation provides an energy-efficient method for achieving zero liquid discharge and effective brine concentration. To manage the inherent intermittency of natural sunlight, phase change materials are increasingly integrated to store excess thermal energy for continuous evaporation. Nevertheless, current systems are limited by elevated phase-transition temperatures, liquid leakage, and substantial performance degradation in hypersaline conditions. Here we show a multifunctional composite foam that unifies broadband photothermal conversion with low-temperature phase-change thermal regulation for sustained hypersaline desalination. By confining dodecylamine within a polypyrrole-coated chitosan-phenolic network, our material achieves a 95% solar absorption efficiency and a phase-change energy storage capacity of 208.4 J g<sup>−1</sup>. The evaporator achieves a stable evaporation rate of 1.862 kg m<sup>−2</sup> h<sup>−1</sup> under one sun and maintains 0.684 kg m<sup>−2</sup> h<sup>−1</sup> in the absence of light. It also sustains a high evaporation rate of 1.763 kg m<sup>−2</sup> h<sup>−1</sup> in 20 wt% NaCl without salt accumulation and produces 9.229 kg m<sup>−2</sup> of purified freshwater over 10 h of outdoor solar operation. These findings provide a scalable and continuous approach to solar-driven brine reduction, advancing sustainable resource recovery and all-weather water purification.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"31 ","pages":"Article 100696"},"PeriodicalIF":14.3,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147802983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}
Wangjiayi Liu , Guanghua Guan , Xiaonan Chen , Liangsheng Shi , Guangtao Fu , Dragan Savic
{"title":"Physics-guided networks for probabilistic hydrodynamic forecasting in canal systems","authors":"Wangjiayi Liu , Guanghua Guan , Xiaonan Chen , Liangsheng Shi , Guangtao Fu , Dragan Savic","doi":"10.1016/j.ese.2026.100703","DOIUrl":"10.1016/j.ese.2026.100703","url":null,"abstract":"<div><div>Reliable prediction of water supply dynamics in large-scale canal systems is critical for water allocation and operational decision-making in inter-basin water transfer projects. Uncertainty in lateral offtake discharges evolves over time and often exhibits multi-peaked distributions due to real-time hydraulic states and unplanned gate operations. However, reliably quantifying and interpreting the evolving uncertainty remains difficult under such dynamically changing and small-sample conditions. Here we show that a physics-guided mixture density network (PgMDN) can effectively characterize this uncertainty while remaining physically consistent. In the proposed PgMDN, physical knowledge is incorporated into the loss function through local mass balance and a consistency constraint between predictions and their associated uncertainty, while long short-term memory layers are employed to model temporal dependencies and multi-factor influences. In addition, Shapley additive explanation analysis is used to identify the dominant hydraulic inputs contributing to predictive uncertainty. Tested on real-world canal datasets, the proposed PgMDN outperforms the standard mixture density network, achieving over a 25% reduction in both mean absolute error and root mean square error, together with improved reliability, as measured by the R-index (increasing from 0.45 to 0.82), and stronger generalization. The results further reveal that water level fluctuations and boundary inflow are key drivers of predictive uncertainty, supporting the physical interpretability of the proposed model. Overall, this study provides a scalable and interpretable tool for real-time modeling of environmental infrastructure and the operational management of large-scale water diversion systems.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"31 ","pages":"Article 100703"},"PeriodicalIF":14.3,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147956916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}
Liping Luo , Shiqing Zhou , Jianfei Zhou , Jingquan Wang , Han Wu , Hongguang Guo
{"title":"Phenolic contaminants generate persistent phenoxyl radicals to accelerate antibiotic degradation","authors":"Liping Luo , Shiqing Zhou , Jianfei Zhou , Jingquan Wang , Han Wu , Hongguang Guo","doi":"10.1016/j.ese.2026.100680","DOIUrl":"10.1016/j.ese.2026.100680","url":null,"abstract":"<div><div>Water pollution by coexisting multiple contaminants presents escalating challenges to environmental remediation and public health protection. In advanced oxidation processes, contaminant interactions are invariably regarded as detrimental, introducing competitive reactions and matrix interferences that diminish treatment efficiency. However, phenolic compounds—a prevalent class of recalcitrant water pollutants—possess latent oxidative capabilities that remain strategically unexploited. Whether their reactivity can be harnessed to accelerate, rather than impede, the removal of priority contaminants remains fundamentally unclear. Here we show that in the permanganate/chlorite (Mn(VII)/ClO<sub>2</sub><sup>−</sup>) system, phenolic compounds undergo a counterintuitive transformation into persistent phenoxyl radicals that enhance sulfamethoxazole degradation by 3.5- to 20-fold. Mechanistic investigations reveal that these radicals exhibit exceptional stability and selectivity, preferentially attacking target pollutants while demonstrating robust resistance to common matrix interferences—properties unattainable with conventional oxidants alone. Quantitative structure-activity relationships provide predictive frameworks for optimizing this contaminant-assisted oxidation strategy across diverse chemical scenarios. This contaminant-mediated oxidation strategy inverts the traditional paradigm of mutual interference, transforming recalcitrant phenolics from obstacles into powerful mediators. The findings open new avenues for self-adaptive remediation of multi-pollutant systems and suggest broader applications in environmental cleanup where contaminant interactions can be strategically exploited.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"30 ","pages":"Article 100680"},"PeriodicalIF":14.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147423945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}
Dou Wang , Xiaoqing Xu , Lei Liu , Chunxiao Wang , Yu Deng , Martin F. Polz , Tong Zhang
{"title":"Hi-C sequencing deciphers phage and plasmid host networks in wastewater biofilms","authors":"Dou Wang , Xiaoqing Xu , Lei Liu , Chunxiao Wang , Yu Deng , Martin F. Polz , Tong Zhang","doi":"10.1016/j.ese.2026.100683","DOIUrl":"10.1016/j.ese.2026.100683","url":null,"abstract":"<div><div>Mobile genetic elements (MGEs) such as bacteriophages and plasmids profoundly shape microbial community structure and drive horizontal gene transfer across ecosystems. Wastewater treatment systems, with their high cell densities, steep physicochemical gradients and close cell-to-cell contact, act as hotspots for MGE proliferation and exchange, yet the <em>in situ</em> assembly dynamics and host interaction networks of these elements have remained largely unresolved because conventional methods fail to establish direct MGE–host linkages in complex matrices. Here we show that an integrated framework combining metagenomics, metatranscriptomics, metaviromics, and Hi-C proximity ligation sequencing enables the efficient elucidation of DNA phage and plasmid assembly dynamics alongside their host interaction networks in biofilms. We reconstructed 17,672 viral operational taxonomic units and 11,454 high-confidence non-redundant plasmids, and established 529 phage–host and 5739 plasmid–host associations that link up to 52 % of phages to 56 % of prokaryotes and 70 % of plasmids to 91 % of prokaryotes, respectively. Hi-C substantially expanded and refined these networks, revealing taxon-specific and multi-host patterns. Host community composition and biofilm architecture emerge as primary drivers of MGE occurrence and abundance along the reactor flow path. Expression of auxiliary metabolic genes, antibiotic resistance genes and virulence factors carried by these MGEs demonstrates their active roles in modulating biogeochemical cycles and maintaining ecosystem stability. These findings establish a scalable, cultivation-independent framework for deciphering MGE–host networks in complex microbial ecosystems, and underscore the power of Hi-C sequencing to transform our mechanistic understanding of gene flow, resistome dissemination, and ecological resilience in engineered and natural microbiomes.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"30 ","pages":"Article 100683"},"PeriodicalIF":14.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147499975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Failure windows and commit points of engineered nanomaterials in the environment","authors":"Swaroop Chakraborty","doi":"10.1016/j.ese.2026.100685","DOIUrl":"10.1016/j.ese.2026.100685","url":null,"abstract":"","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"30 ","pages":"Article 100685"},"PeriodicalIF":14.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147540717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}