Near infra-red analysis: The use of multivariate statistics for investigation of variables in sample preparation and presentation of tea leaf

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 met...

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Veröffentlicht in:	Journal of the science of food and agriculture 1988, Vol.42 (2), p.129-139
Hauptverfasser:	Grant, Alex, Franklin, Jeremy G., Davies, Anthony M. C.
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological and medical sciences canonical variate analysis Coffee, tea and other stimulative beverage industries Food industries Fundamental and applied biological sciences. Psychology Near infra-red spectroscopy particle size principal component analysis tea quality
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