Measured retention factors served to establish linear BMC models with soil sorption coefficient \(\mathrm{K_{d}}\) and soil organic carbon sorption coefficient \(\mathrm{K_{OC}}\) values, compiled from literature sources. Most models were improved upon inclusion of additional physicochemical parameters. The predictive performance of BMC was compared with the one of octanol-water partitioning (log P), the traditionally used physicochemical property for ecotoxicological endpoint estimation. BMC models using Brij35 and SDS surfactants were generally followed by better statistics than those derived with CTAB, while Brij35 BMC models showed the best statistics of all three surfactants, suggesting that its use mimics better partitioning processes of pesticides into soil systems. Predictions based on BMC chromatography were comparable or even superior to those based on log P.  
## References  
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Z. Juglova\({}^{\star}\), P. Divis and H. Manakova  
Faculty of Chemistry, Brno University of Technology, Purkyuroa 118, 61200 Brno, Czech Republic  
\({}^{\star}\) Correspondence: xcjuglova@vutbr.cz  
Coffee represents important global commodity and constitutes a significant fraction of the export economy of many countries. Coffee as brewed drink prepared from roasted coffee beans is one of the most widely consumed beverages in the world. Consumption of this beverage generates huge amounts of solid residues. An estimated percentage of around 90% of the brewed coffee ends up though in the form of so-called Spent Coffee Grounds (SCG). With an estimated average of 11 grams of fresh ground coffee going into each cup, around 381,000 tonnes of ground coffee are brewed every year, resulting in an estimated quarter of a million tonnes of wet SCG [1]. This material is valorised according to the latest trends and a number of valuable products can be obtained from it. Fresh SCG or SCG after valorisation can also be used as a fertilizer due to the content of some elements and the large water retention capacity [2,3]. However, the use of SCG as a fertilizer is hindered by the content of caffeine, tannins, and phenolics which act as phytotoxins. In the presented work, we studied detoxification of SCG using oxidizing agents, so that SCG could be used for fertilizer preparation. Detoxification efficiency was tested using HPLC by determining the individual phenolic compounds content in the SCG water extract (1:10 solid-water ratio). An Agilent Infinity 1260 HPLC with DAD detector was used during the study. Stationary phase was formed by a Kinetex EVO C18 column and mobile phase consisted of the mixture of acetonitrile and water with 2% formic acid. The results of this study gave the successful detoxification of SCG using the proposed method. The concentration of individual phenolic compounds in the detoxified SCG fell from tens of mg/kg below the detection limit of HPLC (0.3 mg/kg chlorogenic acid, 0.2 mg/kg caffeic acid, 0.1 mg/kg ferulic acid, and 0.6 mg/kg gallic acid).