Use of a multivariate moving window PCA for the untargeted detection of contaminants in agro-food products, as exemplified by the detection of melamine levels in milk using vibrational spectroscopy.

Fernandez Pierna, Juan A; Vincke, Damien; Baeten, Vincent; Grelet, Clément; Dehareng, Frédéric; Dardenne, Pierre

doi:10.1016/j.chemolab.2015.10.016

Article (Scientific journals)

Use of a multivariate moving window PCA for the untargeted detection of contaminants in agro-food products, as exemplified by the detection of melamine levels in milk using vibrational spectroscopy.

Fernandez Pierna, Juan A; Vincke, Damien; Baeten, Vincent et al.

2016 • In Chemometrics and Intelligent Laboratory Systems

Peer Reviewed verified by ORBi

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https://hdl.handle.net/2268/195891

DOI
10.1016/j.chemolab.2015.10.016

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Disciplines :

Agriculture & agronomy

Author, co-author :

Fernandez Pierna, Juan A; Centre Wallon de Recherches Agronomiques

Vincke, Damien; Centre Wallon de Recherches Agronomiques

Baeten, Vincent; Centre Wallon de Recherches Agronomiques

Grelet, Clément ; Centre Wallon de Recherches Agronomiques

Dehareng, Frédéric ; Centre Wallon de Recherches Agronomiques

Dardenne, Pierre; Centre Wallon de Recherches Agronomiques

Language :

English

Title :

Use of a multivariate moving window PCA for the untargeted detection of contaminants in agro-food products, as exemplified by the detection of melamine levels in milk using vibrational spectroscopy.

Publication date :

2016

Journal title :

Chemometrics and Intelligent Laboratory Systems

ISSN :

0169-7439

eISSN :

1873-3239

Publisher :

Elsevier Science, Amsterdam, Netherlands

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 21 April 2016

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