| Literature DB >> 24331038 |
Graciela M Escandar1, Héctor C Goicoechea2, Arsenio Muñoz de la Peña3, Alejandro C Olivieri4.
Abstract
An introduction to multi-way calibration based on second- and higher-order data generation and processing is provided, with emphasis on practical experimental aspects. After a discussion concerning a proper nomenclature scheme, a suitable classification of the obtainable data, and the general features of the available algorithms and their underlying models, a series of examples is discussed in detail, with the purpose of illustrating the great potentiality of the field for the analytical community. Emphasis is directed toward the most popular multi-way data, i.e., second-order or matrix data, which can be conveniently measured in a variety of instruments. Third-order data are being increasingly studied and are also discussed, along with the less explored field of fourth-order data. The estimation of figures of merit, which analysts need to report during method development, is now sufficiently mature to be provided for the general audience.Keywords: Multi-way calibration; Multivariate curve resolution; Parallel factor analysis; Partial least-squares
Year: 2013 PMID: 24331038 DOI: 10.1016/j.aca.2013.11.009
Source DB: PubMed Journal: Anal Chim Acta ISSN: 0003-2670 Impact factor: 6.558