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

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

doi:10.1016/B978-0-12-811220-5.00011-3

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 proceeding › Chapter

8 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 language	English
Title of host publication	Frontiers and Advances in Molecular Spectroscopy
Publisher	Elsevier
Pages	369-378
Number of pages	10
ISBN (Electronic)	9780128112205
ISBN (Print)	9780128112212
DOIs	https://doi.org/10.1016/B978-0-12-811220-5.00011-3
Publication status	Published - 2017 Jan 1
Externally published	Yes

Keywords

Multivariate curve resolution
Quantitative spectrometry
Raman spectra

ASJC Scopus subject areas

Chemistry(all)

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10.1016/B978-0-12-811220-5.00011-3

Cite this

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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.",

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AU - Ando, Masahiro

AU - Lednev, Igor K.

AU - Hamaguchi, Hiro o.

PY - 2017/1/1

Y1 - 2017/1/1

N2 - 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.

AB - 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.

KW - Multivariate curve resolution

KW - Quantitative spectrometry

KW - Raman spectra

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M3 - Chapter

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BT - Frontiers and Advances in Molecular Spectroscopy

PB - Elsevier

ER -

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

Abstract

Keywords

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