Generic placeholder image

Current Metabolomics

Editor-in-Chief

ISSN (Print): 2213-235X
ISSN (Online): 2213-2368

Differentiation of Dry Animal Feeds Using 1D NMR, Multivariate Data Analysis and Statistical Total Correlation Spectroscopy from Successive Solvent Extractions

Author(s): Pablo A. Hoijemberg and Sarah L. Ralston

Volume 2 , Issue 4 , 2014

Page: [272 - 280] Pages: 9

DOI: 10.2174/2213235X03999150210141001

Price: $65

Abstract

Similar samples from dry horse feed and dry cat food were differentiated by a simple protocol that relies on the acquisition of 1D 1H NMR spectra of aqueous extracts at increasing soaking times and a posterior multivariate analysis of the data. The sequential withdrawal of aliquots from the same samples increased the significance of the statistical models that detect differences among the samples. These differences were identified by the backscaled coefficients plots of supervised models, like orthogonal projection to latent structure discriminant analysis, and evaluated depending on the weight of the contribution to the class separation. Statistical total correlation spectroscopy was applied to the data and gave insight into the components of the aqueous extracts, especially in regards to the molecules responsible for the class separation.

Keywords: Food analysis, multivariate data analysis, NMR, O-PLS-DA, PCA, statistical total correlation spectroscopy, wet extraction.

Graphical Abstract

Rights & Permissions Print Export Cite as
© 2022 Bentham Science Publishers | Privacy Policy