Unsupervised dynamic orthogonal projection. An efficient approach to calibration transfer without standard samples

Calibration transfer has been traditionally performed in the context of transferring models between instruments using standard samples. Recently, new methodologies and applications have shown that transfer techniques can be adopted to achieve calibration transfer between other types of domains, such...

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Bibliographic Details
Published in:Analytica chimica acta 2022-09, Vol.1225, p.340154-340154, Article 340154
Main Authors: Fonseca Diaz, Valeria, Roger, Jean-Michel, Saeys, Wouter
Format: Article
Language:English
Subjects:
Calibration transfer
Life Sciences
Multivariate calibration
Orthogonalization
Unsupervised
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Summary:Calibration transfer has been traditionally performed in the context of transferring models between instruments using standard samples. Recently, new methodologies and applications have shown that transfer techniques can be adopted to achieve calibration transfer between other types of domains, such as product form, variant or seasonality. In addition, to achieving a higher efficiency for calibration transfer, it is desirable to perform the transfer without the need for standard samples or new reference analyses. Therefore, we propose a method for unsupervised calibration transfer based on the orthogonalization for structural differences between domains. The method has been successfully applied to one simulated dataset and two real datasets. In the studied cases, the proposed methodology allowed to achieve a successful transfer of calibration models and enabled the interpretation of the interferences responsible for the degradation of the original calibration models when transferred to the new domain. [Display omitted]
ISSN:0003-2670
1873-4324
DOI:10.1016/j.aca.2022.340154