A model for predicting the uptake of tetracycline and amoxicillin by vegetable plants using STELLA® was developed. Simulations were performed for a 30-day period during which lettuce and carrot were irrigated with the two antibiotics of known concentrations. The model predicts antibiotic concentrations in several compartments, including porewater, soil, and plant tissues. Simulations showed that the number of antibiotics found in soil fraction was larger than the amount in plant tissues. The developed model for tetracycline uptake by carrot gave a chi-square (χ²) value of 0.2 and by lettuce recorded a χ² value of 0.6. The model was considered efficient based on the χ² values. Validation of the antibiotic’s uptake model showed an appreciable agreement between simulated and measured experimental data with deviation expressed as percentage being 2.6% for tetracycline uptake by carrot model and 37.9% for tetracycline uptake by lettuce model. Leaching and evaporation processes of antibiotics were found from the sensitivity analysis of the model to be the most important processes influencing the uptake model. These processes could be determined accurately and hence makes the model easily adoptive for other antibiotics. Further antibiotic uptake studies should focus on the physical-chemical properties of the antibiotics and abiotic environmental condition effect on the uptake model developed.

开发了使用STELLA®预测蔬菜植物摄取四环素和阿莫西林的模型。在为期30天的模拟过程中，用已知浓度的两种抗生素灌溉了生菜和胡萝卜。该模型可以预测包括孔隙水，土壤和植物组织在内的多个区域的抗生素浓度。模拟表明，土壤部分中发现的抗生素数量大于植物组织中的抗生素数量。四环素摄取胡萝卜开发的模型，得到卡方（χ ²）值的0.2和由莴苣记录在χ ²的0.6值。该模型是基于认为是有效的χ ²价值观。抗生素摄取模型的验证显示，模拟和测量的实验数据之间存在明显的一致性，其中胡萝卜模型摄取四环素的百分比为偏差，生菜模型摄取四环素的百分比为37.9％。从模型的敏感性分析中发现抗生素的浸出和蒸发过程是影响摄取模型的最重要过程。这些过程可以准确确定，因此使该模型易于被其他抗生素采用。进一步的抗生素吸收研究应侧重于抗生素的物理化学性质以及非生物环境条件对所建立的吸收模型的影响。