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Validation of a lateral flow immunoassay for the rapid determination of aflatoxins in maize by solvent free extraction

Academic Article
Publication Date:
2017
abstract:
The analytical performances of a lateral flow immunoassay (AFLA-V AQUA(TM), Vicam a Waters Business) for the determination of aflatoxins in maize were evaluated according to Commission Regulation (EU) No. 519/ 2014. This case study showed how a critical evaluation of validation results can provide a quite informative picture of kit performances for its use for different purposes. The validation study, performed at aflatoxin B1 levels encompassing EU maximum permitted levels (up to 8 ug kg-1), provided information on the method precision profile, cut off values, and false suspect and false negative rates. The total precision expressed as relative standard deviation varied from 14 to 29% for contaminated samples. Cut off values calculated considering 2 ug kg-1 or 4 mg kg-1 as the screening target concentration were 1.24 and 2.18 ug kg-1, respectively, whereas the resultant false suspect rate for blanks was 42% and 8%, respectively. The false negative rate for samples containing the analyte at higher concentrations was found to be lower than 1%. Analysis of naturally contaminated maize samples performed by the lateral flow immunoassay and the AOAC official method revealed a good correlation (parameters of the linear regression: r = 0.97, slope = 0.96) between the obtained results. A satisfactory agreement between reference values and test results was also obtained in the analysis of reference materials. Finally, a QC protocol based on guidelines suggested in the EU regulation was designed to verify kit performances over time and in new production lots.
Iris type:
01.01 Articolo in rivista
Keywords:
: aflatoxins; screening methods; validation; lateral flow devices; maize; mycotoxins
List of contributors:
Ciasca, Biancamaria; Pascale, Michelangelo; Lattanzio, VERONICA MARIA TERESA
Authors of the University:
LATTANZIO VERONICA MARIA TERESA
PASCALE MICHELANGELO
Handle:
https://iris.cnr.it/handle/20.500.14243/336684
Published in:
ANALYTICAL METHODS (ONLINE)
Journal
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