Andreas Libonati Brock

TL;DR: In this article, the authors assess spatial and temporal trends of population-normalized mass loads of benzoylecgonine, amphetamine, methamphetamine and 3,4-methylenedioxymethamphetamine (MDMA) in raw wastewater over 7 years (2011-17), and address overall drug use by estimating the average number of combined doses consumed per day in each city.

TL;DR: Predictions of in-sewer transformation provided here can reduce the uncertainty in the estimation of drug consumption as part of wastewater-based epidemiological studies, and abiotic conversion is the dominant mechanism for many of the selected substances.

TL;DR: It is demonstrated that the estimation of biotransformation rate constants in biofilm can be significantly biased if the boundary layer thickness is not accurately estimated, which complements the previous investigation on the transformation and sorption of drug biomarkers in the presence of only suspended biomass in untreated sewage.

TL;DR: Simulations with precalculated input data demonstrate that precalculation of yields reduces the number of fit parameters considerably, increases confidence in fitted kinetic data, and reduces the uncertainty of the simulation results.

TL;DR: A recently developed method for microbial growth yield estimation is extended to account for incomplete degradation and multiple-element assimilation and combined it with a dynamic model for fate description in soils and sediments to improve predictive capability.