Multivariate analysis for1H-NMR spectra of two hundred kinds of tea in the world

Analytical Sciences

Volumn 22, Issue 10, 2006, Pages 1307-1314

  Fujiwara, Masako ^a   Ando, Itiro ^b,c   Arifuku, Kazunori ^a  

^a JEOL LTD   (Japan)

^b Environmental Research Center   (Japan)

^c NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

MIXTURES; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PATTERN RECOGNITION; SPECTROMETERS; TEA;

1H-NMR SPECTRA; MIXTURE ANALYSIS; MULTI VARIATE ANALYSIS; NMR MEASUREMENTS; NMR SPECTROMETER; SAMPLE CLASSIFICATION; SOFT INDEPENDENT MODELING OF CLASS ANALOGIES; STATISTICAL PATTERN RECOGNITION;

MULTIVARIANT ANALYSIS;

PROTON;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; CHEMISTRY; METHODOLOGY; MULTIVARIATE ANALYSIS; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING; STATISTICAL MODEL; TEA;

ALGORITHMS; CHEMISTRY, ANALYTICAL; MAGNETIC RESONANCE SPECTROSCOPY; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; PROTONS; SIGNAL PROCESSING, COMPUTER-ASSISTED; TEA;

EID: 35648962196     PISSN: 09106340     EISSN: 13482246     Source Type: Journal    
DOI: 10.2116/analsci.22.1307     Document Type: Article

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