Chemistry of soil-type dependent soil matrices and its influence on behaviors of pharmaceutical compounds (PCs) in soils

Hong, Hanlie; Liu, Chen; Li, Zhaohui

doi:10.1016/j.heliyon.2023.e22931

Heliyon

2023

DOI: 10.1016/j.heliyon.2023.e22931

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Chemistry of soil-type dependent soil matrices and its influence on behaviors of pharmaceutical compounds (PCs) in soils

Hanlie Hong,

Chen Liu,

Zhaohui Li

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2024

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Cited by 4 publications

References 185 publications

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Exploring the environmental pathways and challenges of fluoroquinolone antibiotics: A state-of-the-art review

Masud,

Shin,

Septian

et al. 2024

Science of The Total Environment

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Exploring the environmental pathways and challenges of fluoroquinolone antibiotics: A state-of-the-art review

Masud,

Shin,

Septian

et al. 2024

Science of The Total Environment

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A state-of-the-art review on the application of lignosulfonate as a green alternative in soil stabilization

Khajeh,

Nazari,

Movahedrad

et al. 2024

Science of The Total Environment

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Estimating Tetrachloroethene Sorption Coefficients Based on Soil Properties in Organic-Poor Soils

Rippelová,

McGachy,

Janků

et al. 2024

Applied Sciences

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In the context of contaminated site remediation, the fate of chlorinated solvents in the subsurface and subsequent groundwater contamination is influenced by soil properties governing sorption. The solid–water distribution coefficient (Kd) is a key parameter for modeling contaminant distribution and transport, essential for risk assessment and remediation planning. This study evaluated tetrachloroethene sorption isotherms in 34 low-organic-carbon soils from the Czech Republic, assessing the influence of soil properties on Kd. Soil samples exhibited variability in organic carbon content (˂0.05–0.81%), with clay ranging from 0% to 64.9%, silt 5.1% to 71.2%, and sand 5.2% to 88.9%, specific surface area (0.41–64.39 m2 g−1), particle density (2.05–4.09 g cm−3), and porosity (43.5–67.3%). Batch experiments were conducted using standard procedures, with Kd values ranging from 0.379 to 2.272 L kg−1. Statistical analysis grouped the soils into three textural classes: sandy, clayey fine, and silty loam. The findings reveal that organic carbon content and specific surface area are the primary predictors of Kd, while clay and sand also play a significant role in shaping sorption behavior. Multivariate regression models explained 63.6% to 98.5% of Kd variability with high accuracy, as indicated by low root means square error (0.070–0.329) and mean absolute percentage error (3.8–28.8%) values. These models offer reliable predictions of sorption behavior, providing valuable tools for risk assessment and remediation strategies.

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Chemistry of soil-type dependent soil matrices and its influence on behaviors of pharmaceutical compounds (PCs) in soils

Cited by 4 publications

References 185 publications

Exploring the environmental pathways and challenges of fluoroquinolone antibiotics: A state-of-the-art review

Exploring the environmental pathways and challenges of fluoroquinolone antibiotics: A state-of-the-art review

A state-of-the-art review on the application of lignosulfonate as a green alternative in soil stabilization

Estimating Tetrachloroethene Sorption Coefficients Based on Soil Properties in Organic-Poor Soils

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