4.8 Article

Trends in Micropollutant Biotransformation along a Solids Retention Time Gradient

Journal

ENVIRONMENTAL SCIENCE & TECHNOLOGY
Volume 52, Issue 20, Pages 11601-11611

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.est.8b02763

Keywords

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Funding

  1. European Research Council under the European Union's Seventh Framework Programme (ERC grant) [614768]
  2. Swiss National Science Foundation (SNF) [CR23I2_140698]
  3. Swiss National Science Foundation (SNF) [CR23I2_140698] Funding Source: Swiss National Science Foundation (SNF)

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For many polar organic micropollutants, biotransformation by activated sludge microorganisms is a major removal process during wastewater treatment. However, our current understanding of how wastewater treatment operations influence microbial communities and their micropollutant biotransformation potential is limited, leaving major parts of observed variability in biotransformation rates across treatment facilities unexplained. Here, we present biotransformation rate constants for 42 micropollutants belonging to different chemical classes along a gradient of solids retention time (SRT). The geometric mean of biomass-normalized first-order rate constants shows a clear increase between 3 and 15 d SRT by 160% and 87%, respectively, in two experiments. However, individual micropollutants show a variety of trends. Rate constants of oxidative biotransformation reactions mostly increased with SRT. Yet, nitrifying activity could be excluded as primary driver. For substances undergoing other than oxidative reactions, i.e., mostly substitution-type reactions, more diverse dependencies on SRT were observed. Most remarkably, characteristic trends were observed for groups of substances undergoing similar types of initial transformation reaction, suggesting that shared enzymes or enzyme systems that are conjointly regulated catalyze biotransformation reactions within such groups. These findings open up opportunities for correlating rate constants with measures of enzyme abundance such as genes or gene products, which in turn should help to identify enzymes associated with the respective biotransformation reactions.

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