Microbial community analysis in biologically active filters exhibiting efficient removal of emerging contaminants and impact of operational conditions

Shuangyi Zhang, Sophie Courtois, Stephen Gitungo, Robert F. Raczko, John E. Dyksen, Mengyan Li, Lisa Axe

Research output: Contribution to journalArticle

Abstract

In biologically active filters (BAFs), microorganisms acclimated on the media surface are the key players responsible for removing organic water contaminants. In this study, next generation sequencing by Illumina MiSeq was used to characterize the microbial community structures in the influent, effluent, and media of a set of bench-scale BAFs that have been demonstrated with high removal efficiency (>75%) of 16 contaminants of emerging concern (CECs), which include a variety of pharmaceuticals (e.g., sulfamethoxazole and ibuprofen), X-ray contrast agent (i.e., iopromide), and pesticides (e.g., atrazine) that are prevalently found in municipal waste streams. Proteobacteria and Planctomycetes were the most abundant phyla in filter media, while the influent and effluent samples were dominated by Proteobacteria, Actinobacteria, and Chlamydiae. Factorial and principal component analysis revealed microbial structures in the media were significantly affected by the operation conditions, including media type (GAC versus dual media anthracite sand), EBCT (10 versus 18 min), and pre-ozonation. Detrended correspondence analysis demonstrated media materials predominantly governed the structures of the acclimated biofilm in BAFs as they provide direct attachment surface. This is in line with the higher microbial activity and better treatment performance exhibited by GAC BAFs compared to the dual media BAFs, corroborating the importance of filter media selection to promote the acclimation of active and robust biofilm for efficient CEC removal. Principal component analysis revealed the significant influence from ozonation, which does not only break down CECs, but also stimulates microbes that grow on the ozonation products. Partial canonical correlation analysis further proved the shaping of biofilm communities on the BAF media is more associated with media type and ozonation compared to EBCT. Putative CEC degraders are predicted based on their dominance in the media and degradation capabilities reported in previous literature. This is the first study to examine the relationship between the microbial community structure and the BAF operating parameters, which are both aligned with the treatment performance exhibited by the BAFs.

Original languageEnglish (US)
Pages (from-to)1455-1464
Number of pages10
JournalScience of the Total Environment
Volume640-641
DOIs
StatePublished - Nov 1 2018

Fingerprint

Active filters
microbial community
Impurities
filter
Ozonization
pollutant
Biofilms
iopromide
biofilm
Principal component analysis
Effluents
principal component analysis
Atrazine
Sulfamethoxazole
community structure
Anthracite
analysis
removal
Coal
Ibuprofen

All Science Journal Classification (ASJC) codes

  • Pollution
  • Waste Management and Disposal
  • Environmental Engineering
  • Environmental Chemistry

Cite this

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title = "Microbial community analysis in biologically active filters exhibiting efficient removal of emerging contaminants and impact of operational conditions",
abstract = "In biologically active filters (BAFs), microorganisms acclimated on the media surface are the key players responsible for removing organic water contaminants. In this study, next generation sequencing by Illumina MiSeq was used to characterize the microbial community structures in the influent, effluent, and media of a set of bench-scale BAFs that have been demonstrated with high removal efficiency (>75{\%}) of 16 contaminants of emerging concern (CECs), which include a variety of pharmaceuticals (e.g., sulfamethoxazole and ibuprofen), X-ray contrast agent (i.e., iopromide), and pesticides (e.g., atrazine) that are prevalently found in municipal waste streams. Proteobacteria and Planctomycetes were the most abundant phyla in filter media, while the influent and effluent samples were dominated by Proteobacteria, Actinobacteria, and Chlamydiae. Factorial and principal component analysis revealed microbial structures in the media were significantly affected by the operation conditions, including media type (GAC versus dual media anthracite sand), EBCT (10 versus 18 min), and pre-ozonation. Detrended correspondence analysis demonstrated media materials predominantly governed the structures of the acclimated biofilm in BAFs as they provide direct attachment surface. This is in line with the higher microbial activity and better treatment performance exhibited by GAC BAFs compared to the dual media BAFs, corroborating the importance of filter media selection to promote the acclimation of active and robust biofilm for efficient CEC removal. Principal component analysis revealed the significant influence from ozonation, which does not only break down CECs, but also stimulates microbes that grow on the ozonation products. Partial canonical correlation analysis further proved the shaping of biofilm communities on the BAF media is more associated with media type and ozonation compared to EBCT. Putative CEC degraders are predicted based on their dominance in the media and degradation capabilities reported in previous literature. This is the first study to examine the relationship between the microbial community structure and the BAF operating parameters, which are both aligned with the treatment performance exhibited by the BAFs.",
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Microbial community analysis in biologically active filters exhibiting efficient removal of emerging contaminants and impact of operational conditions. / Zhang, Shuangyi; Courtois, Sophie; Gitungo, Stephen; Raczko, Robert F.; Dyksen, John E.; Li, Mengyan; Axe, Lisa.

In: Science of the Total Environment, Vol. 640-641, 01.11.2018, p. 1455-1464.

Research output: Contribution to journalArticle

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