Sorption of tetracyclines onto natural soils: data analysis and prediction

作者：Teixido M; Granados M; Prat M D; Beltran J L^*

来源：Environmental Science and Pollution Research, 2012, 19(8): 3087-3095.

DOI：10.1007/s11356-012-0954-5

• Antibiotics
• Tetracyclines
• Sorption
• Isotherm
• Modeling
• Freundlich
• Langmuir
• PCA
• PLS

Residues of tetracyclines reach soils as a result of animal waste application. Sorption is a key process in transport, fate, and effects of contaminants in the environment. In this work, we have attempted to predict the sorption of four widely used tetracyclines (oxytetracycline, tetracycline, chlortetracycline, and doxycycline) from soil physicochemical properties. Batch sorption experiments were performed on 15 natural soils with a broad range of physicochemical properties, and the data were fitted to several isotherm models. Multivariate analysis methods were conducted to identify the main factors affecting the sorption distribution coefficients (K (d)) of the tetracyclines at two aqueous concentration levels (100 and 400 mu g L-1). All four tetracycline sorption isotherms in alkaline and acidic soils were well described by the Freundlich and Langmuir equation, respectively. At intermediate soil pH (from 5.3 to 7), oxytetracycline and tetracycline exhibited Freundlich behavior, whereas chlortetracycline and doxycycline followed a Langmuir model. Two partial least squares (PLS) models were developed. The first one uses five soil descriptors as input variables; the second uses, pH, cation exchange capacity (CEC), and log K (d,OTC). Both models satisfactorily predicted distribution coefficients within a factor of 1.5. Sorption of tetracyclines in soil is governed by several factors, in the following order of importance: solution speciation, CEC (dominant at acidic-neutral soil pH), transition metal content, and texture. The PLS models indicated that tetracycline sorption can be predicted using a minimal set of soil descriptors including oxytetracycline sorption data.

• 出版日期2012-9