Merel Kooi

TL;DR: More high quality data is needed on the occurrence of microplastics in drinking water, to better understand potential exposure and to inform human health risk assessments, and there is a significant need to improve quality assurance ofmicroplastic sampling and analysis in water samples.

TL;DR: The first theoretical model that is capable of simulating the effect of biofouling on the fate of microplastic, based on settling, biofilm growth, and ocean depth profiles for light, water density, temperature, salinity, and viscosity is developed.

TL;DR: It is shown how a systematic assessment of adverse outcome pathways based on ecologically relevant metrics for exposure and effect can bring risk assessment within reach and allow policy makers to take measures for scientifically sound reasons.

TL;DR: In this article, a 3D probability distribution of environmental versus ingested microplastic is proposed to simplify microplastics by fully defining them through a three-dimensional probability distribution, with size, shape and density as dimensions.

TL;DR: In this paper, the authors apply a system engineering analytical approach and propose a tentative "whole ocean" mass balance model that combines emission data, surface area-normalized plastic fragmentation rates, estimated concentrations in the ocean surface layer (OSL), and removal from the OSL by sinking.