The principle and applications of a new chemometrical method, hypothetical addition multivariate analysis with numerical differentiation (HAMAND), are reviewed. HAMAND quantitatively separates out specified known spectra of target substances from complex spectra of samples containing the targets and the other contaminants. Three applications are described: (1) detection of three sugar molecules, glucose, sucrose, and fructose, from a model aqueous solution mimicking a sport drink; (2) detection of vitamin C from a commercial multivitamin tablet; and (3) detection of a trace of semen on a polyester cloth. HAMAND enables automatic and quantitative spectrometry to play unique roles in a variety of practical analytic applications.
|Title of host publication||Frontiers and Advances in Molecular Spectroscopy|
|Number of pages||10|
|Publication status||Published - 2017 Jan 1|
- Multivariate curve resolution
- Quantitative spectrometry
- Raman spectra
ASJC Scopus subject areas