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|Title:||Analytical Method Performance Validation (AMPE): A Software Tool for Analytical Method Validation|
|Authors:||ACUTIS MARCO; TREVISIOL PATRIZIA; CONFALONIERI ROBERTO; BELLOCCHI GIANNI; GRAZIOLI EMANUELE; VAN DEN EEDE GUY; PAOLETTI Claudia|
|Citation:||JOURNAL OF AOAC INTERNATIONAL vol. 90 no. 5 p. 1432-1438|
|Type:||Articles in Journals|
|Abstract:||A Windows-based software tool (AMPE - Analytical Method Performance Evaluation) was developed to support the validation of analytical methods. The software implements standard statistical approaches commonly adopted in validation studies to estimate analytical method performance (limit of detection and quantification, accuracy, specificity, working range and linearity of responses), according to ISO 5725, 1994. In addition, AMPE proposes the application of innovative and unique approaches for the assessment of analytical methods' performance. Specifically, AMPE proposes: 1) the use of difference-based indices to quantify the agreement between measurements and reference values; 2) the use of pattern indices to quantify methods' bias with respect to specific external variables; and 3) the application of fuzzy logic to aggregate into synthetic indicators the information collected independently via the different performance statistics, traditionally estimated in validation studies. Aggregated measures are particularly useful for methods comparison, when more than one method is available for a specific analysis and it may be of interest to identify the best performing one taking into account, simultaneously, the information available from different performance statistics. Illustrative examples of the type of outputs expected from AMPE-based validation sessions are given. The extensive data handling capabilities and the wide range of statistics supplied in the software package makes AMPE suitable for specific needs that may arise in different validation studies. The installation package, complete of a fully-documented help file, is distributed free of charge to interested users along with input files exemplary of the type of entry data required to run validation data analyses.|
|JRC Institute:||Institute for Health and Consumer Protection|
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