Naslov
Prediction of solid-solution partitioning coefficients (K-d) for cationic metals in soils using mid-infrared diffuse reflectance spectroscopy

Autori
Janik, J. ; ... ; Halamić, Josip ; ... ; Husnjak, Stjepan ; ... ; Šorša, Ajka ; ... ; Zomeni, Z.

Kolaboracija
The GEMAS Project Team

Izvornik
Environmental toxicology and chemistry (0730-7268) 34 (2014), 2; 224-234

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Cations ; Solid-solution partitioning coefficients (K-d) ; Mid-infrared spectroscopy ; Partial least squares regression ; Soil

Sažetak
Partial least squares regression (PLSR) models, using mid-infrared (MIR) diffuse reflectance Fourier-transformed (DRIFT) spectra, were used to predict distribution coefficient (K-d) values for selected added soluble metal cations (Ag+, Co2+, Cu2+, Mn2+, Ni2+, Pb2+, Sn4+, and Zn2+) in 4813 soils of the Geochemical Mapping of Agricultural Soils (GEMAS) program. For the development of the PLSR models, approximately 500 representative soils were selected based on the spectra, and K-d values were determined using a single-point soluble metal or radioactive isotope spike. The optimum models, using a combination of MIR-DRIFT spectra and soil pH, resulted in good predictions for log Kd+1 for Co, Mn, Ni, Pb, and Zn (R-2 0.83) but poor predictions for Ag, Cu, and Sn (R-2<0.50). These models were applied to the prediction of log Kd+1 values in the remaining 4313 unknown soils. The PLSR models provide a rapid and inexpensive tool to assess the mobility and potential availability of selected metallic cations in European soils. Further model development and validation will be needed to enable the prediction of log Kd+1 values in soils worldwide with different soil types and properties not covered in the existing model.

Izvorni jezik
Engleski

Znanstvena područja
Poljoprivreda (agronomija)

POVEZANOST RADA