Microbial characterization of TNT-contaminated soils and anaerobic TNT degradation: high and unusual denitration activity

2,4,6-trinitrotoluene (TNT) is one of the most common explosives. In spite of its known toxicity and mutagenicity for many organisms, soils and groundwater are still frequently contaminated at manufacturing, disposal and TNT-destruction sites. Thirteen soil samples collected from a TNT-destruction field were investigated for their concentrations of TNT and its derivatives as well as for their microbial diversity. They contained TNT at various concentrations, ranging from 4 to 36 g TNT/kg soil. Various metabolites were also detected, including 2,4,6-trinitrobenzaldehyde, 4-amino-2,6-dinitrotoluene, 2-amino-4,6-dinitrotoluene and 2,4-dinitrotoluene. Microbial communities of these soil samples were characterized by 16S rRNA PCR-DGGE using bacterial universal primers. The DGGE patterns of these soil communities were compared with noncontaminated soils found at the same TNT-destruction site. Non-polluted soils revealed complex fingerprints of microorganisms while the contaminated samples showed the presence of dominant bands, indicating that a strong selection had occurred. The biodegradation capacities of a non-polluted and a TNT-contaminated soil were evaluated by enrichment cultures with TNT as sole N-source. High and unusual denitration activities were detected with the contaminated soil under defined anaerobic conditions.

Authors

Publication Details

Published
2026-01-22
DOI
https://doi.org/10.1201/9781003762645-11
Citations
5
Primary Topic
Graphite, nuclear technology, radiation studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Microbial characterization of TNT-contaminated soils and anaerobic TNT degradation: high and unusual denitration activity

Spiros N. Agathos, Laurent Eyers, Saı̈d El Fantroussi, Benoît Stenuit
5 citations
Graphite, nuclear technology, radiation studies
article

Microbial characterization of TNT-contaminated soils and anaerobic TNT degradation: high and unusual denitration activity

Spiros N. Agathos, Laurent Eyers, Saı̈d El Fantroussi, Benoît Stenuit
article en
5 citations

Abstract

2,4,6-trinitrotoluene (TNT) is one of the most common explosives. In spite of its known toxicity and mutagenicity for many organisms, soils and groundwater are still frequently contaminated at manufacturing, disposal and TNT-destruction sites. Thirteen soil samples collected from a TNT-destruction field were investigated for their concentrations of TNT and its derivatives as well as for their microbial diversity. They contained TNT at various concentrations, ranging from 4 to 36 g TNT/kg soil. Various metabolites were also detected, including 2,4,6-trinitrobenzaldehyde, 4-amino-2,6-dinitrotoluene, 2-amino-4,6-dinitrotoluene and 2,4-dinitrotoluene. Microbial communities of these soil samples were characterized by 16S rRNA PCR-DGGE using bacterial universal primers. The DGGE patterns of these soil communities were compared with noncontaminated soils found at the same TNT-destruction site. Non-polluted soils revealed complex fingerprints of microorganisms while the contaminated samples showed the presence of dominant bands, indicating that a strong selection had occurred. The biodegradation capacities of a non-polluted and a TNT-contaminated soil were evaluated by enrichment cultures with TNT as sole N-source. High and unusual denitration activities were detected with the contaminated soil under defined anaerobic conditions.

Zero hunger
Openalex Percentile: Top 100%
Graphite, nuclear technology, radiation studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.