The classification of tea according to region of origin using pattern recognition techniques and trace metal data
- 1 April 2003
- journal article
- Published by Elsevier in Journal of Food Composition and Analysis
- Vol. 16 (2) , 195-211
- https://doi.org/10.1016/s0889-1575(02)00163-1
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- Evaluation of the effect of data pre-treatment procedures on classical pattern recognition and principal components analysis: a case study for the geographical classification of teaPublished by Royal Society of Chemistry (RSC) ,2001
- HPLC determination of catechins and caffeine in tea. Differentiation of green, black and instant teasThe Analyst, 2000
- Authentication of Galician (N.W. Spain) honeys by multivariate techniques based on metal content dataThe Analyst, 2000
- Characterization of green coffee varieties according to their metal contentAnalytica Chimica Acta, 1998
- Preliminary study using trace element concentrations and a chemometrics approach to determine the geographical origin of teaJournal of Analytical Atomic Spectrometry, 1998
- The determination of the authenticity of wine from its trace element compositionFood Chemistry, 1997
- Chemometrics in Environmental AnalysisPublished by Wiley ,1997
- Application of pattern recognition to the discrimination of roasted coffeesAnalytica Chimica Acta, 1996
- Prediction of quality and origin of black tea and pine resin samples from chromatographic and sensory information: evaluation of neural networksFood Chemistry, 1994
- Classificatin of chinese tea samples according to origin and quality by principal component techniquesAnalytica Chimica Acta, 1987