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OptiVal
In general
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OptiVal allows you to adapt and optimize your analytical measurement methods using the latest techniques of factorial design of experiments without statistical special knowledge by applying chart-based analyses.
OptiVal has been developed in close cooperation with practitioners and therefore guarantees a maximum benefit for the user.
It is recommended by the Community Reference Laboratory (ERL) in Berlin.
In combination with the program InterVal Plus measurement results can also be used for the validation.
You can find further information about OptiVal on our software flyer.
Design of experiments
OptiVal offers optimised orthogonal and randomised experimental designs for up to 30 potential influence factors (parameters of sample preparation and analysis method, matrix effects, sampling and analytical conditions). Depending on the specifications, these experimental designs allow screening methods, the analysis of factorial interactions as well as locating optimal measuring conditions. A professional database in combination with a comfortable entry module allow a flexible and quick entry as well as management of data, e.g. sample description and coding, reference values, operators etc.
Statistical evaluation methods
For the statistical analysis of the results a number of statistical methods is made available which permit a detailed analysis and maximization of the sensitivity of the test systems as well as the minimization of random and systematic errors. The latest statistical methods are used for the automated modelling and an extended Taguchi-analysis identifies influence factors which optimise the sensitivity on the one hand and minimize the influence of disturbing effects (e.g. matrix effects) on the other hand.
Reports and charts
All evaluation results are saved in the database. The evaluation report with explaining comments - as well as further specific reports and charts - are saved automatically in Word files.
