Sustainability Sciences LLC, Hatboro, Pennsylvania 19040, USA.
Integr Environ Assess Manag. 2012 Jul;8(3):530-42. doi: 10.1002/ieam.1274. Epub 2012 Feb 7.
This article presents the capability expansion of the PhATE™ (pharmaceutical assessment and transport evaluation) model to predict concentrations of trace organics in sludges and biosolids from municipal wastewater treatment plants (WWTPs). PhATE was originally developed as an empirical model to estimate potential concentrations of active pharmaceutical ingredients (APIs) in US surface and drinking waters that could result from patient use of medicines. However, many compounds, including pharmaceuticals, are not completely transformed in WWTPs and remain in biosolids that may be applied to land as a soil amendment. This practice leads to concerns about potential exposures of people who may come into contact with amended soils and also about potential effects to plants and animals living in or contacting such soils. The model estimates the mass of API in WWTP influent based on the population served, the API per capita use, and the potential loss of the compound associated with human use (e.g., metabolism). The mass of API on the treated biosolids is then estimated based on partitioning to primary and secondary solids, potential loss due to biodegradation in secondary treatment (e.g., activated sludge), and potential loss during sludge treatment (e.g., aerobic digestion, anaerobic digestion, composting). Simulations using 2 surrogate compounds show that predicted environmental concentrations (PECs) generated by PhATE are in very good agreement with measured concentrations, i.e., well within 1 order of magnitude. Model simulations were then carried out for 18 APIs representing a broad range of chemical and use characteristics. These simulations yielded 4 categories of results: 1) PECs are in good agreement with measured data for 9 compounds with high analytical detection frequencies, 2) PECs are greater than measured data for 3 compounds with high analytical detection frequencies, possibly as a result of as yet unidentified depletion mechanisms, 3) PECs are less than analytical reporting limits for 5 compounds with low analytical detection frequencies, and 4) the PEC is greater than the analytical method reporting limit for 1 compound with a low analytical detection frequency, possibly again as a result of insufficient depletion data. Overall, these results demonstrate that PhATE has the potential to be a very useful tool in the evaluation of APIs in biosolids. Possible applications include: prioritizing APIs for assessment even in the absence of analytical methods; evaluating sludge processing scenarios to explore potential mitigation approaches; using in risk assessments; and developing realistic nationwide concentrations, because PECs can be represented as a cumulative probability distribution. Finally, comparison of PECs to measured concentrations can also be used to identify the need for fate studies of compounds of interest in biosolids.
本文介绍了 PhATE(药物评估和传输评估)模型的能力扩展,以预测来自城市污水处理厂(WWTP)的污泥和生物固体中痕量有机物的浓度。PhATE 最初是作为一种经验模型开发的,用于估计美国地表水和饮用水中活性药物成分(API)的潜在浓度,这些浓度可能是由于患者使用药物造成的。然而,许多化合物,包括药物,在 WWTP 中并未完全转化,而是留在生物固体中,可能作为土壤改良剂施用于土地。这种做法导致人们担心可能接触到改良土壤的人会接触到潜在的暴露,以及生活在或接触到这些土壤的植物和动物可能会受到潜在影响。该模型根据服务人口、人均 API 使用量以及与人类使用相关的化合物的潜在损失(例如,代谢),估算 WWTP 进水口的 API 质量。然后,根据主要和次要固体的分配、二级处理(例如,活性污泥)中由于生物降解导致的潜在损失以及污泥处理(例如,好氧消化、厌氧消化、堆肥)过程中的潜在损失,估算处理后的生物固体中 API 的质量。使用 2 种替代化合物进行的模拟表明,PhATE 生成的预测环境浓度(PEC)与实测浓度非常吻合,即在 1 个数量级内。然后对代表广泛化学和使用特性的 18 种 API 进行了模型模拟。这些模拟产生了 4 种结果类别:1)对于具有高分析检测频率的 9 种化合物,PEC 与实测数据吻合良好,2)对于具有高分析检测频率的 3 种化合物,PEC 大于实测数据,可能是由于尚未确定的消耗机制,3)对于具有低分析检测频率的 5 种化合物,PEC 小于分析报告限,4)对于具有低分析检测频率的 1 种化合物,PEC 大于分析方法报告限,可能再次由于缺乏消耗数据。总体而言,这些结果表明 PhATE 有可能成为评估生物固体中 API 的非常有用的工具。可能的应用包括:即使没有分析方法,也可以优先评估 API;评估污泥处理方案,以探索潜在的缓解方法;用于风险评估;并制定现实的全国性浓度,因为 PEC 可以表示为累积概率分布。最后,将 PEC 与实测浓度进行比较,也可用于确定在生物固体中对感兴趣的化合物进行命运研究的必要性。