Abstract
The Real Time Analyzer (RTA) utilizing DC- and AC- voltammetric techniques is an in-situ, on-line monitoring system that allows for a full chemical analysis of different plating solutions. The presentation focuses on the application of numerous statistical methods: design of experiment (DOE), SIMCA-based modeling power (providing information about signal-to-noise ratio and relevancy of the chosen part of signal in the model) and latent factor-analysis-based multi-way data multivariate regression resulting in a reliable and accurate calibration model. These steps include: training set design, determination of the portion(s) of the voltammetric signal(s) to be taken for calculations (modeling power coupled with least squares regression (LSR)). The calibration model is calculated employing tri-linear Partial Least Squares (tri-PLS1) latent factor-wise regression/decomposition technique. The tri-PLS1 method is capable of simultaneous compressing , extracting information, and regressing three dimensional voltammetric data arrays created using several, various voltammetric curves characterizing each sample solution. The calibration is validated using cross-validation and external validation.
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