Premium
Near infra‐red analysis: The use of multivariate statistics for investigation of variables in sample preparation and presentation of tea leaf
Author(s) -
Grant Alex,
Franklin Jeremy G.,
Davies Anthony M. C.
Publication year - 1988
Publication title -
journal of the science of food and agriculture
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.782
H-Index - 142
eISSN - 1097-0010
pISSN - 0022-5142
DOI - 10.1002/jsfa.2740420205
Subject(s) - principal component analysis , sample (material) , multivariate statistics , statistics , multivariate analysis , mathematics , sample size determination , analytical chemistry (journal) , chemistry , chromatography
A data analysis procedure involving principal component and canonical variate analyses was used to investigate the effects of three sample variables (particle size, temperature and sample rotation) on the near infra‐red spectra of six teas of different geographical origin. The effects of milling method were shown to be much larger than those of sample temperature or rotation. The analysis provided a rational basis for the choice of a milling technique and sample presentation for a study of the possible relationship between tea quality and near infra‐red spectroscopic data.