Validation of multivariate classification methods using analytical fingerprints – concept and case study on organic feed for laying hens

Abstract excerpt

Multivariate classification methods based on analytical fingerprints have found many applications in the food and feed area, but practical applications are still scarce due to a lack of a generally accepted validation procedure. This paper proposes a new approach for validation of this type of methods. A part of the validation procedure requires a description of qualitative aspects: the method’s goal and purpose a...

Topics

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• Calibration
• Color
• Food Quality
• Least-Squares Analysis
• Mammary Glands, Animal
• Meat
• Principal Component Analysis
• Spectroscopy, Near-Infrared

Identifiers and source

Literature Corpus work

2e25023d-8c7d-5e06-a18f-f975802ad50a

DOI

10.1016/j.jfca.2016.06.003