Digital repository of Slovenian research organisations

Show document
A+ | A- | Help | SLO | ENG

Title:Decision support for the comparative evaluation and selection of analytical methods : detection of genetically modified organisms as an example
Authors:ID Dobnik, David (Author)
ID Gruden, Kristina (Author)
ID Žel, Jana (Author)
ID Bertheau, Yves (Author)
ID Holst-Jensen, Arne (Author)
ID Bohanec, Marko (Author)
Files:.pdf PDF - Presentation file, download (1,63 MB)
MD5: FA15DA14A090ED8BCEAE2B6D0E16E0EF
 
URL URL - Source URL, visit https://doi.org/10.1007/s12161-018-1194-1
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo NIB - National Institute of Biology
Abstract: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.
Keywords:multicriteria decision analysis, genetically modified organisms, method evaluation, DEXi, decision support system, DSS
Publication status:Published
Publication version:Version of Record
Publication date:16.02.2018
Year of publishing:2018
Number of pages:str. 2105-2122
Numbering:Vol. 11, no. 8
PID:20.500.12556/DiRROS-19639 New window
UDC:577
ISSN on article:1936-9751
DOI:10.1007/s12161-018-1194-1 New window
COBISS.SI-ID:4619855 New window
Publication date in DiRROS:24.07.2024
Views:485
Downloads:378
Metadata:XML DC-XML DC-RDF
:
DOBNIK, David, GRUDEN, Kristina, ŽEL, Jana, BERTHEAU, Yves, HOLST-JENSEN, Arne and BOHANEC, Marko, 2018, Decision support for the comparative evaluation and selection of analytical methods : detection of genetically modified organisms as an example. Food analytical methods [online]. 2018. Vol. 11, no. 8, p. 2105–2122. [Accessed 6 April 2025]. DOI 10.1007/s12161-018-1194-1. Retrieved from: https://dirros.openscience.si/IzpisGradiva.php?lang=eng&id=19639
Copy citation
  
Share:Bookmark and Share


Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Record is a part of a journal

Title:Food analytical methods
Shortened title:Food anal. methods
Publisher:Springer Science and Business Media
ISSN:1936-9751
COBISS.SI-ID:1857359 New window

Document is financed by a project

Funder:EC - European Commission
Project number:613908
Name:Development of Cost efficient Advanced DNA-based methods for specific Traceability issues and High Level On-site applicatioNs
Acronym:DECATHLON
Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P4-0165-2015
Name:Biotehnologija in sistemska biologija rastlin
Funder:EC - European Commission
Funding programme:FP6
Project number:007158
Name:Project Co-Extra
Funder:Other - Other funder or multiple funders
Funding programme:Research Council of Norway

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Back