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An Augmented Classical Least Squares Method for Quantitative Raman Spectral Analysis against Component Information Loss

We propose an augmented classical least squares (ACLS) calibration method for quantitative Raman spectral analysis against component information loss. The Raman spectral signals with low analyte concentration correlations were selected and used as the substitutes for unknown quantitative component i...

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Detalles Bibliográficos
Autores principales: Zhou, Yan, Cao, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3727190/
https://www.ncbi.nlm.nih.gov/pubmed/23956689
http://dx.doi.org/10.1155/2013/306937