ABSTRACT
The calibration of devices providing continuous signals, such as spectra, poses particular problems of robustness. A sound understanding of this aspect is therefore necessary and this approach is based on a hierarchical questioning of the significance of the influence quantity, controllability and measurability. In the case of an influential variable, uncontrollable and yet measurable, it can be corrected by modifying the measured signal, or the model; its output can also be corrected. In the worst case, where the variable is influential, but neither controllable nor measurable, methods in order to improve the robustness of calibrations are necessary.
Read this article from a comprehensive knowledge base, updated and supplemented with articles reviewed by scientific committees.
Read the article
INTRODUCTION
The use of measuring devices delivering complex signals, such as spectrometers or chromatographs, requires a calibration phase, the robustness of which can be problematic. This article examines this issue, first by explaining the problem of robustness, then by proposing solutions for improvement. Practical examples illustrate the various concepts and methods discussed.
You do not have access to this resource.
Exclusive to subscribers. 97% yet to be discovered!
Already subscribed?
Log in!
Ongoing reading
Robustness of multidimensional calibrations: application to spectral data