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

Chemistry

University at Albany

Spectroscopic Science Laboratory Co.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

13 Scopus citations

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
State	Published - Jan 1 2017

Keywords

Multivariate curve resolution
Quantitative spectrometry
Raman spectra

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

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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

UR - https://www.scopus.com/pages/publications/85042662143

U2 - 10.1016/B978-0-12-811220-5.00011-3

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

M3 - Chapter

SN - 9780128112212

SP - 369

EP - 378

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)

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Keywords

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