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Optimal isotherm model and explanatory characteristics associated with metal ion adsorption on humic acids isolated from forest soils

  • Soils, Sec 1 • Soil Organic Matter Dynamics and Nutrient Cycling • Research Article
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Journal of Soils and Sediments Aims and scope Submit manuscript

Abstract

Purpose

Understanding the mechanisms of interaction between humic acids (HAs) and metal ions in soil media is essential for integrated environmental and agricultural management. This study aims to select the best isotherm model and explore the correlation between physicochemical properties of humic acids isolated from forest soils and metal ion sorption parameters.

Materials and methods

The HA fractions of ten forest soils were initially isolated and well characterized. Afterward, the sorption of four metal ions (Cu, Fe, Mn, and Zn) on the isolated HAs was investigated. The experimental data was initially fit to the three isotherm models to find the optimal model. Subsequently, the correlation between physicochemical HA properties and metal ion sorption parameters was explored using correlation and clustering analysis.

Results and discussion

Results showed that despite employing identical extraction procedures, isolated HAs from soils differed statistically in their descriptive characteristics. The adsorption data generally fit the Freundlich isotherm model best. However, isotherm model performance was affected by both metal ion and HA types. Six descriptive HA attributes including H/C and O/C molar ratio, the internal oxidation degree (ω), carboxylic acidity, E4/E6 ratio, and the Δlog-K were closely associated with sorption parameters.

Conclusions

Since the performance of isotherm models was affected by both metal ion and HA type, the isotherm model should be selected with regard to target metal ions and HA type. Highly correlated variables with sorption parameters of HA-metal ions screened in this study could be reliably used to develop sorption predictive models for HA-metal ions in soil and aquifers.

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Availability of data and material

The electronic supplementary material can be seen in the Supplementary information of this article.

Abbreviations

ANOVA:

Analysis of variance

COOH:

Carboxylic acidity

CV:

Coefficient of variation

FA:

Fulvic acids

HA:

Humic acid

K1 :

Temkin isotherm constant relevant to the maximum binding energy

K2 :

Temkin isotherm constant relevant to the heat of adsorption

KF :

Freundlich isotherm constant relevant to adsorption capacity

KL :

Langmuir equilibrium constant

n:

A constant indicative of the intensity of adsorption in Freundlich isotherm model

OH:

Phenolic acidity

qm :

Langmuir monolayer sorption capacity

r:

Pearson correlation coefficient

R2 :

Coefficient of determination

TA:

Total acidity

η2 :

Partial eta squared

κ:

Cohen’s kappa statistic

ω:

Internal oxidation

References

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Funding

This research was supported and financed by the post-graduate office of the University of Guilan.

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Authors and Affiliations

Authors

Contributions

Mahmood Fazeli, Sangani, Conceptualization, methodology, software, validation, data curation, writing (original draft), writing (review and editing), visualization, project administration. Akbar Forghani, Conceptualization, methodology, validation, supervision, funding acquisition. Patrycja Boguta, Validation, investigation, data curation, writing–review and editing. Marjan Anoosha, Conceptualization, methodology, lab analysis, investigation, resources, data curation. Gary Owens, Validation, investigation, resources, data curation, writing–review and editing.

Corresponding author

Correspondence to Mahmood Fazeli Sangani.

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Conflict of interest

The authors declare no competing interests.

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Responsible editor: Anja Miltner

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Supplementary Information

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Supplementary file1 (DOCX 128 KB)

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Fazeli Sangani, M., Forghani, A., Boguta, P. et al. Optimal isotherm model and explanatory characteristics associated with metal ion adsorption on humic acids isolated from forest soils. J Soils Sediments 22, 2392–2405 (2022). https://doi.org/10.1007/s11368-022-03249-1

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  • DOI: https://doi.org/10.1007/s11368-022-03249-1

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