論文

査読有り
2017年10月

Evaluation of cation inhibition and adaptation based on microbial activity and community structure in anaerobic wastewater treatment under elevated saline concentration

CHEMICAL ENGINEERING JOURNAL
  • Takashi Onodera
  • ,
  • Kazuaki Syutsubo
  • ,
  • Masashi Hatamoto
  • ,
  • Nozomi Nakahara
  • ,
  • Takashi Yamaguchi

325
開始ページ
442
終了ページ
448
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.cej.2017.05.081
出版者・発行元
ELSEVIER SCIENCE SA

Continuous flow and batch experiments were carried out under mesophilic conditions (35 degrees C) to determine the effects of gradual increases in cation concentrations on specific methane producing activity (MPA) and microbial community structure in an upflow anaerobic sludge blanket (UASB) reactor fed with molasses wastewater for 300 days. The cation inhibition assay based on MPA as a function of potassium concentration was performed using the retained sludge. The 50% inhibitory concentration for potassium was 600 mM for H-2/CO2 substrate, 300 mM for acetate, and 280 mM for propionate, and inhibition levels were clearly proportional to potassium concentration. The tolerance of retained sludge to potassium inhibition was not clearly changed from low to high saline conditions (day 59, 111, and 201). The 16S rRNA gene sequencing analysis revealed that Methanobacterium and Methanosaeta were the dominant archaea, and the archaeal community was not obviously changed at the genus level during operation. (C) 2017 Elsevier B.V. All rights reserved.

Web of Science ® 被引用回数 : 12

リンク情報
DOI
https://doi.org/10.1016/j.cej.2017.05.081
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000403733800045&DestApp=WOS_CPL
URL
http://www.scopus.com/inward/record.url?eid=2-s2.0-85019899184&partnerID=MN8TOARS
URL
http://orcid.org/0000-0001-5426-814X
ID情報
  • DOI : 10.1016/j.cej.2017.05.081
  • ISSN : 1385-8947
  • eISSN : 1873-3212
  • ORCIDのPut Code : 49208414
  • SCOPUS ID : 85019899184
  • Web of Science ID : WOS:000403733800045

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