Screening analysis of human pharmaceutical compounds in U.S. surface waters
Paul D Anderson1, Vincent J D'Aco, Peter Shanahan
1AMEC Earth & Environmental, 239 Littleton Road, Suite 1B, Westford, Massachusetts 01886, USA.
The Pharmaceutical Assessment and Transport Evaluation (PhATE) model estimates active pharmaceutical ingredient (API) concentrations in surface waters. PhATE accurately predicts environmental levels, aiding in assessing pharmaceutical risks.
Area of Science:
- Environmental Chemistry
- Environmental Science
- Pharmacology
Background:
- Pharmaceuticals are increasingly detected in surface waters.
- Assessing environmental concentrations of active pharmaceutical ingredients (APIs) is crucial.
- Existing models may not fully capture API fate and transport.
Purpose of the Study:
- To introduce and validate the Pharmaceutical Assessment and Transport Evaluation (PhATE) model.
- To estimate predicted environmental concentrations (PECs) of APIs in U.S. surface waters.
- To evaluate the model's performance against measured data and assess API fate information.
Main Methods:
- Utilized a mass balance approach to model API concentrations in 11 representative U.S. watersheds.
- Divided rivers into discrete segments to track API mass flow and loss.
- Estimated publicly owned treatment works (POTW) discharge loads based on population, usage, metabolism, and removal rates.
Main Results:
- PhATE-generated PECs were generally within an order of magnitude of measured concentrations for surrogate compounds.
- Model predictions were consistent with nationwide distributions of measured API concentrations.
- Simulations for 11 APIs showed varying degrees of consistency with measured data, highlighting potential for further investigation into depletion mechanisms and sampling representativeness.
Conclusions:
- The PhATE model provides a reliable tool for predicting screening-level API concentrations in the environment.
- PhATE can help identify data gaps and evaluate the suitability of existing API fate information.
- The model supports environmental risk assessment for pharmaceuticals in surface waters.
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