Anthony M. C. Davies
Norwich University
27 Papers
240 Citations
Anthony M. C. Davies is an academic researcher from Norwich University. The author has contributed to research in topics: Fourier transform & Autolysis (biology). The author has an hindex of 12, co-authored 27 publications.
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Papers
Near infra‐red analysis: The use of multivariate statistics for investigation of variables in sample preparation and presentation of tea leaf
TL;DR: In this article, 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.
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Commodity Testing and Sub-Sample Homogeneity System for the Meatspec Analyser
TL;DR: In this article, a system based on principal component analysis has been devised for testing the identity and homogeneity of the sample being analysed by a Meatspec analyser, which checks that the spectral characteristics of a sample are consistent with the calibration in use and rejects any sub-sample which shows a deviation from the mean of all sub-samples greater than a previously defined specification.
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Changes in some nitrogenous constituents of potato tubers during aerobic autolysis
TL;DR: In this paper, potato tubers of four cultivars were ground and allowed to undergo aerobic autolysis, and the distributions of dry matter, N and of free and bound amino acids measured.
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Near infrared reflectance analysis of oil concentration in an emulsion: A study of oil and water migrations in a mayonnaise‐based salad
Abstract: Equations were derived for estimating the oil concentration in mayonnaise containing 11–75% (w/w) oil in mayonnaise-based salads by measurements of absorption using a near infrared scanning spectrometer (Neotec 6350 Research Composition Analyzer). The precision of the predictions averaged from two or three equations was better than ±1.0% at an oil concentration of 40% (w/w). The use of the method is demonstrated by its application to a study of the migration of oil and water in coleslaw during the first 6h after production.
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The use of quadratic regression in qualitative near infrared and visible spectroscopic analysis
TL;DR: In this paper, a method of comparing two spectra using linear and quadratic regression is described, which has the advantage of comparing whole spectra, rather than only certain peaks, while reducing the data to a single variable.
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