Bioaugmentation of polycyclic aromatic hydrocarbon (PAH)-contaminated soil with the nitrate-reducing bacterium PheN7 under anaerobic condition

Journal of Hazardous Materials(2022)

Cited 15|Views22
No score
Abstract
The remediation of polycyclic aromatic hydrocarbon (PAH)-contaminated soil under anaerobic condition is still a huge challenge. In this study, an anaerobic Bacillus firmus strain named PheN7 was firstly isolated from mixture of contaminated soil and sludge samples with phenanthrene as the sole carbon resource under nitrate reducing environment. The anaerobic strain was then inoculated combining with nitrate into the phenanthrene-spiked PAH-contaminated soil to investigate the remediation efficiency by anaerobic bioaugmentation (BA). Results showed that the synergy between PheN7 and indigenous degrading bacteria promoted the remediation efficiency of soil. The average removal efficiencies of phenanthrene in 56 days were 1.73 mg/kg soil·d in BA group, much higher than biostimulation group (sole nitrate addition) and natural degradation which achieved 1.48 mg/kg soil·d and 1.24 mg/kg soil·d of degradation rate, respectively. The outstanding adaptability of PheN7 made it become the dominant species in soil in the terminal period, but the invasion of PheN7 also resulted in the decline of diversity of the indigenous microbial community. Phylogenetic Investigation of Communities by Reconstruction of Unobserved States 2 (PICRUSt 2) results showed that a series of functional genes encoding anaerobic phenanthrene degradation and nitrate reductase enzymes in soil were remarkably strengthened with the addition of PheN7. This study confirmed the contribution of PheN7 as the anaerobic inoculum in PAH-contaminated soil remediation, further evaluating the practical applicability of anaerobic bioaugmentation technology in on-site remediation of real PAH-contaminated sites.
More
Translated text
Key words
Polycyclic aromatic hydrocarbon,Soil bioremediation,Anaerobic,Bioaugmentation,Bacillus firmus
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined