{"title":"Sulfate-Informed State Correction Reveals Bed Evolution in Expanded-Bed Sulfur-Based Autotrophic Denitrification","authors":"Ying-Hui Zhu, Yu-Xin Fan, Han-Bing Xiao, Yi-Lu Sun, Zhou-Yang Li, Chen-Chen Pan, Ai-Jie Wang, Xue-Ning Zhang","doi":"10.1021/acsestengg.6c00362","DOIUrl":null,"url":null,"abstract":"<p>Expanded-bed operation has rarely been explored as a\r\nhydraulically\r\ntunable process for sulfur-based autotrophic denitrification (SAD),\r\nwhere long-term performance is often obscured by continuous media\r\nconsumption and bed structural drift. Here, we develop an expanded-bed\r\nSAD process packed with sulfur and siderite composite particles (1–5\r\nmm) and quantify how bed expansion ratio (BER) regulates nitrate removal\r\nacross packed, expanded, and incipient fluidized regimes. Moderate\r\nexpansion (BER 5.4–8%) intensified nitrate removal, with the\r\nbed-state-corrected volumetric nitrate removal rate increasing up\r\nto 3.7-fold and reaching 10.23 kg-N m<sup>–3</sup> d<sup>–1</sup>. To enable fair benchmarking over long-term operation, we introduce\r\na sulfate-informed correction approach that estimates time-resolved\r\neffective bed volume and apparent surface availability from routine\r\nsulfate production, thereby distinguishing biofilm-associated performance\r\nchanges from geometric and hydraulic state drift caused by bed evolution.\r\nExpanded-bed operation promoted thinner and more viable biofilms (up\r\nto 81% live cells), accompanied by elevated detached biomass protein\r\nand increased denitrification gene copy numbers quantified by DNA-based\r\nqPCR. Overall, the study establishes expanded-bed SAD as a scalable\r\nprocess innovation and provides a practical approach to quantify bed\r\nevolution and evaluate long-term performance on a consistent, state-corrected\r\nbasis.</p>","PeriodicalId":7008,"journal":{"name":"ACS ES&T engineering","volume":"6 8","pages":"2321–2333"},"PeriodicalIF":6.3000,"publicationDate":"2026-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS ES&T engineering","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acsestengg.6c00362","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/7/6 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Expanded-bed operation has rarely been explored as a
hydraulically
tunable process for sulfur-based autotrophic denitrification (SAD),
where long-term performance is often obscured by continuous media
consumption and bed structural drift. Here, we develop an expanded-bed
SAD process packed with sulfur and siderite composite particles (1–5
mm) and quantify how bed expansion ratio (BER) regulates nitrate removal
across packed, expanded, and incipient fluidized regimes. Moderate
expansion (BER 5.4–8%) intensified nitrate removal, with the
bed-state-corrected volumetric nitrate removal rate increasing up
to 3.7-fold and reaching 10.23 kg-N m–3 d–1. To enable fair benchmarking over long-term operation, we introduce
a sulfate-informed correction approach that estimates time-resolved
effective bed volume and apparent surface availability from routine
sulfate production, thereby distinguishing biofilm-associated performance
changes from geometric and hydraulic state drift caused by bed evolution.
Expanded-bed operation promoted thinner and more viable biofilms (up
to 81% live cells), accompanied by elevated detached biomass protein
and increased denitrification gene copy numbers quantified by DNA-based
qPCR. Overall, the study establishes expanded-bed SAD as a scalable
process innovation and provides a practical approach to quantify bed
evolution and evaluate long-term performance on a consistent, state-corrected
basis.
期刊介绍:
ACS ES&T Engineering publishes impactful research and review articles across all realms of environmental technology and engineering, employing a rigorous peer-review process. As a specialized journal, it aims to provide an international platform for research and innovation, inviting contributions on materials technologies, processes, data analytics, and engineering systems that can effectively manage, protect, and remediate air, water, and soil quality, as well as treat wastes and recover resources.
The journal encourages research that supports informed decision-making within complex engineered systems and is grounded in mechanistic science and analytics, describing intricate environmental engineering systems. It considers papers presenting novel advancements, spanning from laboratory discovery to field-based application. However, case or demonstration studies lacking significant scientific advancements and technological innovations are not within its scope.
Contributions containing experimental and/or theoretical methods, rooted in engineering principles and integrated with knowledge from other disciplines, are welcomed.