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Classification of Commercial Skim Milk Powders According to Heat Treatment Using Factorial Discriminant Analysis of Near-Infrared Reflectance Spectra

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Near-infrared reflectance (NIR) spectroscopy is well established as a rapid and nondestructive analytical technique in many agro-food industries. Most published applications have been concerned with the use of NIR for quantitative analyses of technologically important chemical constituents such as water and protein in grain, alcohol in wine, oil in mayonnaise, etc., although successes have been reported with the prediction of less precisely defined but nonetheless functionally important sample attributes (e.g., wheat hardness). A number of mathematical techniques have been used to develop accurate and stable prediction equations, among which may be mentioned stepwise multiple linear regression, principal component regression, partial least-squares regression, and derivative quotient mathematics.

Keywords: Reflectance spectroscopy

Document Type: Short Communication


Affiliations: 1: Teagasc, The National Food Centre, Dunsinea, Castleknock, Dublin 15, Republic of Ireland 2: Institut National de la Recherche Agronomique, LTAN, Rue de la Geraudiere, 44072 Nantes, Cedex 03, France 3: Teagasc, National Dairy Product Research Centre, Fermoy, Co. Cork, Republic of Ireland

Publication date: January 1, 1990

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