Journal
ANALYTICAL LETTERS
Volume 43, Issue 12, Pages 1910-1921Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/00032711003686973
Keywords
Chemometrics; Multiblock; Near-infrared (NIR) spectrum; Partial least squares (PLS); Quantitative analysis
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Funding
- National Natural Science Foundation of China [20775036, 20835002]
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Multiblock partial least squares (MB-PLS) are applied for determination of corn and tobacco samples by using near-infrared diffuse reflection spectroscopy. In the model, the spectra are separated into several sub-blocks along the wavenumber, and different latent variable number was used for each sub-block. Compared with ordinary PLS, the importance and the contribution of each sub-block can be balanced by super-weights and the usage of different latent variable numbers. Therefore, the prediction obtained by the MB-PLS model is superior to that of the ordinary PLS, especially for the large data sets of tobacco samples with a large number of variables.
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