The mechanism of plants and effective microorganisms combined remediation of heavily TNT-contaminated soil

High concentrations of energetic compounds in soil pose a serious threat to the ecology and human health. In this study, a combination of plant-microbe remediation was used to remediate soil contaminated with high TNT concentrations. This study aimed to reveal the remediation efficiency, metabolic potential, and microbial community structure in high-concentration TNT-contaminated soils following combined remediation. Five plants and microorganisms were combined to remediate soil contaminated with high concentrations of TNT (1434 mg/kg). The TNT residues in the soil were only 69-125 mg/kg after 60 days. The combined plant-microbe remediation enhanced the soil nitrogen cycle, carbon cycle, and phosphorus metabolism. Untargeted metabolome gas chromatography-mass spectrometry analysis showed that the combined remediation restored fatty acid metabolism, amino acid metabolism, and sugar metabolism pathways in TNT-contaminated soil. Subsequent 16S rRNA diversity analysis showed that the combined microbial agents occupied soil ecological niches. Interaction network analysis showed that phytomicrobial remediation improved the rate of recovery of TNT-contaminated soil by reshaping the microbial structure and metabolic cycles.

Authors

Institutions

Publication Details

Journal
Ecotoxicology and Environmental Safety
Published
2025-04-23
DOI
https://doi.org/10.1016/j.ecoenv.2025.118169
Citations
3
Primary Topic
Soil Carbon and Nitrogen Dynamics
Type
article
Field-Weighted Citation Impact
3.56

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The mechanism of plants and effective microorganisms combined remediation of heavily TNT-contaminated soil

Jin-long Lai, Sanping Zhao, Bin Dong, Qing Wang et al.
3 citations
Ecotoxicology and Environmental Safety
Soil Carbon and Nitrogen Dynamics
3.56
article

The mechanism of plants and effective microorganisms combined remediation of heavily TNT-contaminated soil

Jin-long Lai, Sanping Zhao, Bin Dong, Qing Wang, Mengwei Han, Yongbing Zhu
article en
3 citations

Abstract

High concentrations of energetic compounds in soil pose a serious threat to the ecology and human health. In this study, a combination of plant-microbe remediation was used to remediate soil contaminated with high TNT concentrations. This study aimed to reveal the remediation efficiency, metabolic potential, and microbial community structure in high-concentration TNT-contaminated soils following combined remediation. Five plants and microorganisms were combined to remediate soil contaminated with high concentrations of TNT (1434 mg/kg). The TNT residues in the soil were only 69-125 mg/kg after 60 days. The combined plant-microbe remediation enhanced the soil nitrogen cycle, carbon cycle, and phosphorus metabolism. Untargeted metabolome gas chromatography-mass spectrometry analysis showed that the combined remediation restored fatty acid metabolism, amino acid metabolism, and sugar metabolism pathways in TNT-contaminated soil. Subsequent 16S rRNA diversity analysis showed that the combined microbial agents occupied soil ecological niches. Interaction network analysis showed that phytomicrobial remediation improved the rate of recovery of TNT-contaminated soil by reshaping the microbial structure and metabolic cycles.

Ecotoxicology and Environmental SafetyVol. 297
Southwest University of Science and Technology (CN), Beijing Municipal Ecology and Environment Bureau (CN), National Institute for Radiological Protection (CN)
Innovative Research Group Project of the National Natural Science Foundation of China, National Natural Science Foundation of China, Chinese Academy of Sciences, China Postdoctoral Science Foundation
Zero hunger
Openalex Percentile: Top 8%
Soil Carbon and Nitrogen Dynamics
3.56
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.