Quantitative Spectrometry of Complex Molecular Systems by Hypothetical Addition Multivariate Analysis With Numerical Differentiation (HAMAND)

Masahiro Ando, Igor K. Lednev, Hiro o. Hamaguchi

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationFrontiers and Advances in Molecular Spectroscopy
PublisherElsevier Inc.
Pages369-378
Number of pages10
ISBN (Electronic)9780128112212
ISBN (Print)9780128112205
DOIs
Publication statusPublished - 2018 Jan 1

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Keywords

  • Multivariate curve resolution
  • Quantitative spectrometry
  • Raman spectra

ASJC Scopus subject areas

  • Chemistry(all)

Cite this

Ando, M., Lednev, I. K., & Hamaguchi, H. O. (2018). Quantitative Spectrometry of Complex Molecular Systems by Hypothetical Addition Multivariate Analysis With Numerical Differentiation (HAMAND). In Frontiers and Advances in Molecular Spectroscopy (pp. 369-378). Elsevier Inc.. https://doi.org/10.1016/B978-0-12-811220-5.00011-3