Multivariate Curve Resolutionpplied to Separate Mixture Spectra
Date Issued
2008
Date
2008
Author(s)
Liu, Chun-You
Abstract
The multivariate curve resolution- alternative least square, MCR-ALS method is applied to separate metal nanoparticles mixture spectra. The mixture spectra were got from three kinds of methods. First is using Gaussian function to simulate the mixture spectra. Second is using darkfield microscopy system to measure the scattering spectra of gold, sliver nanoparticles and gold nanorods ,and then to do numerical mixture. Third is to do experimental mixture of metal nanoparticles, and then measure the scattering mixture spectra. The constraints conditions, non-negativity and unimodality are used in alternative least square. The concentration metrics represent the quantification information which play an important role in biomedical microarray and diagnosis.
Subjects
MCR-ALS
darkfield microscopy
metal nanoparticles
constraints
concentration matrix
Type
thesis
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