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dc.contributor.author
Escandar, Graciela Monica
dc.contributor.author
Olivieri, Alejandro Cesar
dc.date.available
2018-06-28T20:00:08Z
dc.date.issued
2017-08
dc.identifier.citation
Escandar, Graciela Monica; Olivieri, Alejandro Cesar; A road map for multi-way calibration models; Royal Society of Chemistry; Analyst; 142; 16; 8-2017; 2862-2873
dc.identifier.issn
0003-2654
dc.identifier.uri
http://hdl.handle.net/11336/50496
dc.description.abstract
A large number of experimental applications of multi-way calibration are known, and a variety of chemometric models are available for the processing of multi-way data.While the main focus has been directed towards three-way data, due to the availability of various instrumental matrix measurements, a growing number of reports are being produced on order signals of increasing complexity.The purpose of this review is to present a general scheme for selecting the appropriate data processing model, according to the properties exhibited by the multi-way data.In spite of the complexity of the multi-way instrumental measurements, simple criteria can be proposed for model selection, based on the presence and number of the so-called multi-linearity breaking modes (instrumental modes that break the low-rank multi-linearity of the multi-way arrays), and also on the existence of mutually dependent instrumental modes.Recent literature reports on multi-way calibration are reviewed, with emphasis on the models that were selected for data processing.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Royal Society of Chemistry
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Multiway Calibration
dc.subject
Chemometric Models
dc.subject
Data Processing
dc.subject.classification
Otras Ciencias Químicas
dc.subject.classification
Ciencias Químicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
A road map for multi-way calibration models
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-06-28T14:15:21Z
dc.journal.volume
142
dc.journal.number
16
dc.journal.pagination
2862-2873
dc.journal.pais
Reino Unido
dc.journal.ciudad
Cambridge
dc.description.fil
Fil: Escandar, Graciela Monica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Departamento de Química Analítica; Argentina
dc.description.fil
Fil: Olivieri, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Departamento de Química Analítica; Argentina
dc.journal.title
Analyst
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://pubs.rsc.org/en/content/articlelanding/2017/an/c7an00822h#!divAbstract
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1039/C7AN00822H
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