The fitness for purpose of randomised experimental designs for analysis of genetically modified ingredients

European Food Research and Technology

Volumn 233, Issue 1, 2011, Pages 71-78

  Burns, Malcolm ^a   Ellison, Steve ^a  

^a LGC   (United Kingdom)

Author keywords

Fitness for purpose; GM analysis; Inter laboratory; Intra laboratory; Randomisation; Real time quantitative PCR

Indexed keywords

FITNESS FOR PURPOSE; GM ANALYSIS; INTER-LABORATORY; INTRA-LABORATORY; RANDOMISATION; REAL-TIME QUANTITATIVE PCR;

DESIGN; POLYMERASE CHAIN REACTION; STATISTICS;

LABORATORIES;

EID: 79959293277     PISSN: 14382377     EISSN: 14382385     Source Type: Journal    
DOI: 10.1007/s00217-011-1485-x     Document Type: Article

References (20)

1. Manly B (1997) Randomization, bootstrap and Monte Carlo methods in biology (2nd edn). Texts in statistical science. Chapman & Hall, London, UK. ISBN-10 0412721309.
2. Anderson V, McLean R (1974) Design of experiments: a realistic approach. Marcel Dekker, New York.
3. Greenberg B (1951) Why randomize? Biometrics 7: 309-322.
4. El-Kassaby Y, Reid D (2007) Is randomization necessary in seed orchards? 29th SFTIC, Event Galveston, TX-2007.
5. Thornett M (2008) The role of randomization in model-based inference. Aust N Z J Stat 24(2): 137-145.
6. Harville D (1975) Experimental randomisation: who needs it? Am Stat 29: 27-31.
7. The fitness for purpose of analytical methods-A laboratory guide to method validation and related topics-Eurachem guide (1998) ISBN: 0-948926-12-0 http://www. eurachem. org/guides/valid. pdf.
8. Thompson M, Fearn T (1996) What exactly is fitness for purpose in analytical measurement? Analyst 121(3): 275-278. doi: 10. 1039/AN9962100275.
9. Burns M, Valdivia H (2008) Modelling the limit of detection in real-time quantitative PCR. Eur Food Res Technol 226(6): 1513-1524. doi: 10. 1007/s00217-007-0683-z.
10. Arumuganathan K, Earle E (1991) Nuclear DNA content of some important plant species. Plant Mol Biol Rep 9: 211-215.
11. Burns M, Corbisier P, Wiseman G, Valdivia H, McDonald P, Bowler P, Ohara K, Schimmel H, Charels D, Damant A, Harris N (2006) Comparison of plasmid and genomic DNA calibrants for the quantification of genetically modified ingredients. Eur Food Res Technol 224(2): 249-258. doi: 10. 1007/s00217-006-0376-z.
12. Pinheiro J, Bates D, DebRoy S, Sarkar D (2009) Linear and nonlinear mixed effects models. R package version 3. 1-95.
13. R Development Core Team (2008) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www. R-project. org.
14. Burns M, Nixon G, Foy C, Harris N (2005) Standardisation of data from real-time quantitative PCR methods-evaluation of outliers and comparison of calibration curves. BMC Biotechnol 5: 31. doi: 10. 1186/1472-6750-5-31.
15. Trapman J, Burns M, Broll H, Macarthur R, Wood R, Zel J (2009) Guidance document on measurement uncertainty for GMO testing laboratories. RC Scientific and Technical Report ISBN 978-92-79-11228-7. http://irmm. jrc. ec. europa. eu/reference_materials_catalogue/user_support/Documents/eur22756en. pdf.
16. European union reference laboratory for GMOs in Food and Feed (EURL-GMFF) validation reports http://gmo-crl. jrc. ec. europa. eu/statusofdoss. htm.
17. Bellochi G, Acutis M, Paoletti C, Confalonieri R, Trevisiol P, Grazioli E, Delobel C, Savini C, Mazzara M, van den Eede G (2008) Expanding horizons in the validation of GMO analytical methods: fuzzy-based expert systems. Food Anal Methods 1: 126-135.
18. Community Reference Laboratory for GM Food and Feed, Validation Report Maize MON 810: CRL assessment on the validation of an event specific method for the relative quantitation of maize line MON 810 DNA using real-time PCR as carried out by Federal Institute for Risk Assessment (BfR). http://gmo-crl. jrc. ec. europa. eu/summaries/Mon810_validation_report. pdf.
19. Thompson M, Ellison S, Wood R (2002) Harmonized guidelines for single-laboratory validation of methods of analysis. Pure Appl Chem 74: 835-855.
20. Fearn T, Fisher S, Thompson M, Ellison S (2002) A decision theory approach to fitness for purpose in analytical measurement. Analyst 127: 818. doi: 10. 1039/b111465d.