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.

校准转移传统上是在使用标准样品的仪器之间转移模型的情况下执行的。最近，新的方法和应用表明，可以采用转移技术来实现其他类型域之间的校准转移，例如产品形式、变体或季节性。此外，为了实现更高的校准转移效率，最好在不需要标准样品或新的参考分析的情况下进行转移。因此，我们提出了一种基于域间结构差异正交化的无监督校准转移方法。该方法已成功应用于一个模拟数据集和两个真实数据集。在研究的案例中，