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To help tackle this problem, we created predictive tools that allow to identify the most cost-effective methods for specific microplastic analysis scenarios involving seawater samples. Moreover, the tools allow to calculate the total analysis cost of each method. The tools were created by performing a cost-effectiveness analysis of microplastic analytics using survey data acquired from experts in the field. To do so, first, six analysis method categories were created based on the obtained data. Next, total analysis cost for each of the six method categories was simulated, taking into account all labour and equipment costs. 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This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.","Lineage":null,"AccConID":21},"dois":[{"DOIID":920,"PublicationYear":2023,"DOI":"10.14284/636","Citation":"Meyers, N.; Kopke, K.; Buhhalko, N.; Mattsson, K.; Janssen, C.R.; Everaert, G.; De Witte, B.; Flanders Research Institute for Agriculture, Fisheries and Food; Flanders Marine Institute; Laboratory of Environmental Toxicology and Aquatic Ecology (Ghent University); SFI Research Centre for Energy, Climate and Marine research and innovation (University College Cork); Department of Marine Systems (Tallinn University of Technology); Department of Marine Sciences (University of Gothenburg); (2023): ANDROMEDA predictive tools for estimating microplastic analysis costs. 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