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

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

*この研究の対応する著者

研究成果: Chapter

7 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルFrontiers and Advances in Molecular Spectroscopy
出版社Elsevier Inc.
ページ369-378
ページ数10
ISBN(電子版)9780128112212
ISBN(印刷版)9780128112205
DOI
出版ステータスPublished - 2018 1月 1
外部発表はい

ASJC Scopus subject areas

  • 化学 (全般)

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