Decision support for the comparative evaluation and selection of analytical methods: detection of genetically modified organisms as an example
Autor: | Kristina Gruden, Arne Holst-Jensen, David Dobnik, Marko Bohanec, Yves Bertheau, Jana Žel |
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Přispěvatelé: | Dobnik, David, Department of Biotechnology and Systems Biology, National Institute of Biology, Département Santé des Plantes et Environnement (DPT SPE), Institut National de la Recherche Agronomique (INRA), Centre d'Ecologie et des Sciences de la COnservation (CESCO), Muséum national d'Histoire naturelle (MNHN)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Norwegian Veterinary Institute [Oslo], Jozef Stefan Institute [Ljubljana] (IJS), FP6 contract no. 007158 (Project Co-Extra), Slovenian Research Agency (contract number P4-0165), Research Council of Norway, European Project: 613908,EC:FP7:KBBE,FP7-KBBE-2013-7-single-stage,DECATHLON(2013), Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN) |
Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
Decision support system Computer science detection Multiple methods computer.software_genre 01 natural sciences Applied Microbiology and Biotechnology Analytical Chemistry NBT FP6 research project Multiplex Safety Risk Reliability and Quality DSS evaluation Vegetal Biology GMO Decision Support System Variety (cybernetics) méthode de détection OGM Genetically modified organism method performance selection Multicriteria decision analysis Co-Extra DeXi New Breeding Technique Safety Research Detection of genetically modified organisms Machine learning Comparative evaluation 03 medical and health sciences [SDV.BV]Life Sciences [q-bio]/Vegetal Biology Selection (genetic algorithm) business.industry 010401 analytical chemistry méthode de quantification 0104 chemical sciences 030104 developmental biology modèle de décision plante transgénique Artificial intelligence business computer Biologie végétale Food Science Decision analysis |
Zdroj: | Food Analytical Methods, 1-18. (2018) Food Analytical Methods Food Analytical Methods, 2018, pp.1-18. ⟨10.1007/s12161-018-1194-1⟩ Food Analytical Methods, Springer, 2018, pp.1-18. ⟨10.1007/s12161-018-1194-1⟩ |
ISSN: | 1936-9751 1936-976X |
DOI: | 10.1007/s12161-018-1194-1⟩ |
Popis: | International audience; 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. |
Databáze: | OpenAIRE |
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