Literature DB >> 17955990

Analytical Method Performance Evaluation (AMPE)--a software tool for analytical method validation.

Marco Acutis1, Patrizia Trevisiol, Roberto Confalonieri, Gianni Bellocchi, Emanuele Grazioli, Guy Van den Eede, Claudia Paoletti.   

Abstract

A Windows-based software tool [Analytical Method Performance Evaluation (AMPE)] 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 (limits of detection and quantitation, accuracy, specificity, working range, and linearity of responses) according to ISO 5725. In addition, AMPE proposes the application of innovative and unique approaches for the assessment of analytical method performance. Specifically, AMPE proposes the use of difference-based indexes to quantify the agreement between measurements and reference values, the use of pattern indexes to quantify methods bias with respect to specific external variables, and 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 with 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.

Mesh:

Year:  2007        PMID: 17955990

Source DB:  PubMed          Journal:  J AOAC Int        ISSN: 1060-3271            Impact factor:   1.913


  3 in total

1.  Fuzzy-logic based strategy for validation of multiplex methods: example with qualitative GMO assays.

Authors:  Gianni Bellocchi; Vincent Bertholet; Sandrine Hamels; W Moens; José Remacle; Guy Van den Eede
Journal:  Transgenic Res       Date:  2009-06-16       Impact factor: 2.788

2.  Use of pJANUS-02-001 as a calibrator plasmid for Roundup Ready soybean event GTS-40-3-2 detection: an interlaboratory trial assessment.

Authors:  A Lievens; G Bellocchi; D De Bernardi; W Moens; C Savini; M Mazzara; G Van den Eede; M Van den Bulcke
Journal:  Anal Bioanal Chem       Date:  2009-12-17       Impact factor: 4.142

3.  Testing the interaction between analytical modules: an example with Roundup Ready soybean line GTS 40-3-2.

Authors:  Gianni Bellocchi; Marzia De Giacomo; Nicoletta Foti; Marco Mazzara; Eleonora Palmaccio; Cristian Savini; Chiara Di Domenicantonio; Roberta Onori; Guy Van den Eede
Journal:  BMC Biotechnol       Date:  2010-08-05       Impact factor: 2.563

  3 in total

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