Fast DNA-analyses for surveillance of microbial communities in full-scale deammonification tanks: Potential for control and troubleshooting

Martin Hjorth Andersen, Lisette Thomsen, Mikkel Stokholm-Bjerregaard, Søren Eriksen, Susan Hove Hansen, Mads Albertsen, Per Halkjær Nielsen*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

4 Citations (Scopus)
26 Downloads (Pure)

Abstract

The partial nitritation/anammox process is a popular process for sidestream nitrogen removal, but the process is sensitive to disturbances and requires extensive surveillance and monitoring for optimal performance. We followed two parallel sidestream full-scale deammonification reactors treating digester centrate for a year with high time-resolution of both online sensor data and microbial community as measured by Nanopore DNA sequencing. DNA surveillance revealed system disturbances and allowed for detection of process and equipment upsets, and it facilitated remediating operational actions. Surveillance of anammox bacteria (Ca. Brocadia) revealed unexpected variations, and the composition and dynamics of the flanking community indicated causes for occasional process disturbances with poor nitrogen removal. Monitoring the ammonia oxidizing bacteria (AOB) and nitrite oxidizing bacteria (NOB) could potentially allow reactor operation with increased dissolved oxygen (DO), yielding higher ammonia conversion while keeping NOB in control. The use of fast and frequent DNA sequencing (sampling 3–5 times a week, analysed once per week) was an important supplement, and in many cases superior, to the online sensor data for process surveillance, understanding and control.

Original languageEnglish
Article number119919
JournalWater Research
Volume236
ISSN0043-1354
DOIs
Publication statusPublished - 1 Jun 2023

Bibliographical note

Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Keywords

  • Anammox
  • Deammonification
  • Nanopore DNA sequencing
  • Process surveillance and control

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