Differentiation of tea (Camellia sinensis) varieties and their geographical origin according to their metal content

Journal of Agricultural and Food Chemistry

Volumn 49, Issue 10, 2001, Pages 4775-4779

  Fernandez Caceres P L ^a   Martin M J ^a   Pablos, F ^a   Gonzalez A G ^a  

^a UNIVERSITY OF SEVILLE   (Spain)

Author keywords

Artificial neural networks; Atomic spectroscopy; Camellia sinensis; Chemometrics; Metals; Pattern recognition; Tea

Indexed keywords

ALUMINUM; BARIUM; CALCIUM; COPPER; IRON; MAGNESIUM; MANGANESE; METAL; POTASSIUM; SODIUM; STRONTIUM; TITANIUM; ZINC;

AFRICA; ARTICLE; ARTIFICIAL NEURAL NETWORK; ASIA; ATOMIC ABSORPTION SPECTROMETRY; CHEMISTRY; CHEMOMETRIC ANALYSIS; CLASSIFICATION; COMPARATIVE STUDY; DISCRIMINANT ANALYSIS; GEOGRAPHIC DISTRIBUTION; NONHUMAN; PRINCIPAL COMPONENT ANALYSIS; SPECIES DIFFERENCE; TEA;

AFRICA; ASIA; DISCRIMINANT ANALYSIS; METALS; NEURAL NETWORKS (COMPUTER); TEA;

CAMELLIA SINENSIS;

EID: 0034779975     PISSN: 00218561     EISSN: None     Source Type: Journal    
DOI: 10.1021/jf0106143     Document Type: Article

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