20.500.12556/DiRROS-19639 Decision support for the comparative evaluation and selection of analytical methods detection of genetically modified organisms as an example The selection of the best-fit-for-purpose analytical method to be implemented in the laboratory is difficult due to availability of multiple methods, targets, aims of detection, and different kinds and sources of more or less reliable information. Several factors, such as method performance, practicability, cost of setup, and running costs need to be considered together with personnel training when selecting the most appropriate method. The aim of our work was to prepare a flexible multicriteria decision analysis model suitable for evaluation and comparison of analytical methods used for the purpose of detecting and/or quantifying genetically modified organisms, and to use this model to evaluate a variety of changing analytical methods. Our study included selection of PCR-, isothermal-, protein-, microarray-, and next-generation sequencing-based methods in simplex and/or multiplex formats. We show that the overall result of their fitness for purpose is relatively similar; however, individual criteria or a group of related criteria exposed more substantial differences between the methods. The proposed model of this decision support system enables easy modifications and is thus suitable for any other application of complex analytical methods. multicriteria decision analysis genetically modified organisms method evaluation DEXi decision support system DSS true false true Angleški jezik Ni določen Neznano 2024-07-23 03:54:18 2024-07-24 12:36:29 2024-07-25 04:14:49 0000-00-00 00:00:00 2018 0 0 str. 2105-2122 no. 8 Vol. 11 2018 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2018-02-16 577 1936-9751 10.1007/s12161-018-1194-1 4619855 RAZ_Dobnik_David_2018.pdf RAZ_Dobnik_David_2018.pdf 1 FA15DA14A090ED8BCEAE2B6D0E16E0EF d5c56e420fc2833780b0dd1cf4778cf1e05663ef67eb7eba502080341f05114c 5d0983c6-4998-11ef-b487-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=27294 https://doi.org/10.1007/s12161-018-1194-1 0 51764d7b-4998-11ef-b487-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=27293 Nacionalni inštitut za biologijo 0 0 0