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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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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Publishing Corporation
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3727190/ https://ncbi.nlm.nih.gov/pubmed/23956689 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2013/306937 |
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