Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Silver Toxicity Thresholds for Multiple Soil Microbial Biomarkers

Sotirios Vasileiadis, Gianluca Brunetti, Ezzat Marzouk, Steven A. Wakelin, George A. Kowalchuk, Enzo Lombi, Erica Donner

Environmental Science & Technology · 2018

Read source ↗ All evidence

Summary

This study assessed silver toxicity thresholds across multiple soil microbial functional biomarkers in different soil types, revealing that toxicity responses are highly soil-dependent and vary by microbial function. Carbon cycle-associated enzyme activities showed similar responses to silver, whilst sulphur and nitrogen cycle-linked enzymes (particularly sulfatase) were most sensitive. The findings suggest that representative biomarkers can be identified for soil silver contamination risk assessment, though soil characteristics such as organic carbon content limit the predictive power of these responses across diverse soil conditions.

UK applicability

These findings are relevant to UK soil contamination assessment and regulation, particularly for agricultural soils potentially exposed to silver from industrial inputs or sewage sludge applications. The soil-dependent nature of silver toxicity thresholds suggests that UK-specific soil types and conditions would require localised risk characterisation rather than universal threshold values.

Key measures

Soil microbial enzyme activities (cellobiohydrolase, xylosidase, α/β-glucosidase, sulfatase, leucine-aminopeptidase); soil characteristics (total organic carbon, pH); soil-specific toxicity responses to silver

Outcomes reported

The study measured soil microbial enzyme activities and community responses across multiple soil types exposed to silver (Ag) contamination, identifying soil-specific toxicity thresholds and sensitive biomarkers for risk assessment.

Theme
Farming systems, soils & land use
Subject
Soil biology & microbiology
Study type
Research
Study design
Field trial / laboratory study
Source type
Peer-reviewed study
Status
Published
System type
Laboratory / in vitro
DOI
10.1021/acs.est.8b00677
Catalogue ID
SNmov5ix44-0dpkpt

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.