通过部分硝化-厌氧氨氧化耦合硫自养系统同时去除铵盐和高氯酸盐

IF 7.7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Environmental Research Pub Date : 2025-05-01 Epub Date: 2025-02-20 DOI:10.1016/j.envres.2025.121195
Guiying Zhang , Jingmei Liu , Yi Han , Liang Xia , Jianbing Zhang , Jianbo Guo , Haibo Li , Yanan Hou , Yuanyuan Song
{"title":"通过部分硝化-厌氧氨氧化耦合硫自养系统同时去除铵盐和高氯酸盐","authors":"Guiying Zhang ,&nbsp;Jingmei Liu ,&nbsp;Yi Han ,&nbsp;Liang Xia ,&nbsp;Jianbing Zhang ,&nbsp;Jianbo Guo ,&nbsp;Haibo Li ,&nbsp;Yanan Hou ,&nbsp;Yuanyuan Song","doi":"10.1016/j.envres.2025.121195","DOIUrl":null,"url":null,"abstract":"<div><div>In this study, partial nitrification-anammox coupled sulfur autotrophic (PNA-SA) system was constructed for removing ammonium and perchlorate from composite wastewater simultaneously. The removal rates of ammonium and perchlorate could reach 94.2% and 93.1%, respectively, at an ammonium concentration of 60 mg N∙L<sup>−1</sup> and a perchlorate concentration of 30 mg N∙L<sup>−1</sup>. Ammonium was mainly removed by anammox bacteria (AnAOB) in PNA reactor, while perchlorate removal was attributed to perchlorate reducing bacteria (PRB) in SA reactor. Furthermore, combined with Pearson analysis, N-acylhomoserine lactones (AHLs)-mediated quorum sensing regulated the production of TB-EPS, improving biofilm stability and thus ensuring the removal performance of reactors. 16sRNA gene sequencing results indicated that the key functional bacteria in the PNA reactor were <em>Comamonas</em> and <em>Candidatus Kuenenia</em>, and the key functional bacteria in the SA reactor were <em>Sulfurimonas</em>, <em>Thiobacillus</em>, and <em>Defluviimonas</em>. These key functional bacteria ensured PNA-SA system feasibility and stability. Such results indicated that PNA-SA system could be used to treat ammonium and perchlorate composite wastewater, thereby providing a new strategy for removing such composite wastewater.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"272 ","pages":"Article 121195"},"PeriodicalIF":7.7000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Simultaneously ammonium and perchlorate remove via the partial nitrification-anammox coupled sulfur autotrophic system\",\"authors\":\"Guiying Zhang ,&nbsp;Jingmei Liu ,&nbsp;Yi Han ,&nbsp;Liang Xia ,&nbsp;Jianbing Zhang ,&nbsp;Jianbo Guo ,&nbsp;Haibo Li ,&nbsp;Yanan Hou ,&nbsp;Yuanyuan Song\",\"doi\":\"10.1016/j.envres.2025.121195\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this study, partial nitrification-anammox coupled sulfur autotrophic (PNA-SA) system was constructed for removing ammonium and perchlorate from composite wastewater simultaneously. The removal rates of ammonium and perchlorate could reach 94.2% and 93.1%, respectively, at an ammonium concentration of 60 mg N∙L<sup>−1</sup> and a perchlorate concentration of 30 mg N∙L<sup>−1</sup>. Ammonium was mainly removed by anammox bacteria (AnAOB) in PNA reactor, while perchlorate removal was attributed to perchlorate reducing bacteria (PRB) in SA reactor. Furthermore, combined with Pearson analysis, N-acylhomoserine lactones (AHLs)-mediated quorum sensing regulated the production of TB-EPS, improving biofilm stability and thus ensuring the removal performance of reactors. 16sRNA gene sequencing results indicated that the key functional bacteria in the PNA reactor were <em>Comamonas</em> and <em>Candidatus Kuenenia</em>, and the key functional bacteria in the SA reactor were <em>Sulfurimonas</em>, <em>Thiobacillus</em>, and <em>Defluviimonas</em>. These key functional bacteria ensured PNA-SA system feasibility and stability. Such results indicated that PNA-SA system could be used to treat ammonium and perchlorate composite wastewater, thereby providing a new strategy for removing such composite wastewater.</div></div>\",\"PeriodicalId\":312,\"journal\":{\"name\":\"Environmental Research\",\"volume\":\"272 \",\"pages\":\"Article 121195\"},\"PeriodicalIF\":7.7000,\"publicationDate\":\"2025-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0013935125004463\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/2/20 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0013935125004463","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/20 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

本研究构建了部分硝化-厌氧氨氧化耦合硫自养(PNA-SA)系统,用于同时去除复合废水中的铵和高氯酸盐。当铵盐浓度为60 mg N∙L−1,高氯酸盐浓度为30 mg N∙L−1时,铵盐和高氯酸盐的去除率分别达到94.2%和93.1%。PNA反应器中铵盐主要由厌氧氨氧化菌(AnAOB)去除,SA反应器中高氯酸盐主要由高氯酸还原菌(PRB)去除。此外,结合Pearson分析,n -酰基高丝氨酸内酯(AHLs)介导的群体感应调节了TB-EPS的产生,提高了生物膜的稳定性,从而保证了反应器的去除性能。16sRNA基因测序结果显示,PNA反应器的关键功能菌为Comamonas和Candidatus Kuenenia, SA反应器的关键功能菌为硫单胞菌(sulphimonas)、硫杆菌(Thiobacillus)和Defluviimonas。这些关键功能菌确保了PNA-SA系统的可行性和稳定性。上述结果表明,PNA-SA系统可用于处理铵盐和高氯酸盐复合废水,从而为去除铵盐和高氯酸盐复合废水提供了一种新的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Simultaneously ammonium and perchlorate remove via the partial nitrification-anammox coupled sulfur autotrophic system
In this study, partial nitrification-anammox coupled sulfur autotrophic (PNA-SA) system was constructed for removing ammonium and perchlorate from composite wastewater simultaneously. The removal rates of ammonium and perchlorate could reach 94.2% and 93.1%, respectively, at an ammonium concentration of 60 mg N∙L−1 and a perchlorate concentration of 30 mg N∙L−1. Ammonium was mainly removed by anammox bacteria (AnAOB) in PNA reactor, while perchlorate removal was attributed to perchlorate reducing bacteria (PRB) in SA reactor. Furthermore, combined with Pearson analysis, N-acylhomoserine lactones (AHLs)-mediated quorum sensing regulated the production of TB-EPS, improving biofilm stability and thus ensuring the removal performance of reactors. 16sRNA gene sequencing results indicated that the key functional bacteria in the PNA reactor were Comamonas and Candidatus Kuenenia, and the key functional bacteria in the SA reactor were Sulfurimonas, Thiobacillus, and Defluviimonas. These key functional bacteria ensured PNA-SA system feasibility and stability. Such results indicated that PNA-SA system could be used to treat ammonium and perchlorate composite wastewater, thereby providing a new strategy for removing such composite wastewater.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Environmental Research
Environmental Research 环境科学-公共卫生、环境卫生与职业卫生
CiteScore
12.60
自引率
8.40%
发文量
2480
审稿时长
4.7 months
期刊介绍: The Environmental Research journal presents a broad range of interdisciplinary research, focused on addressing worldwide environmental concerns and featuring innovative findings. Our publication strives to explore relevant anthropogenic issues across various environmental sectors, showcasing practical applications in real-life settings.
期刊最新文献
Comprehensive review of the last 25 years regarding metals in the Atlantic coast of Patagonia The synergistic effects of Algal and Bryophyte colonization on soil formation and microbial community assembly in acidic mine tailings Ternary layered double hydroxide CuFeCo-LDH activation peroxydisulfate for enhancing degradation of tetracycline hydrochloride: Synergistic degradation, mechanism, and detoxification pathways Prenatal exposure to persistent organic pollutants and childhood adiposity: Findings from the MIREC cohort Hybrid LSTM-XGBoost framework with city embeddings for CO2 emissions forecasting and scenario comparison
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1