Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Near Infrared Spectroscopy
  • Vol. 20,
  • Issue 6,
  • pp. 623-633
  • (2012)

Detection and Quantification of Ruminant Meal in Processed Animal Proteins: A Comparative Study of near Infrared Spectroscopy and near Infrared Chemical Imaging

Not Accessible

Your library or personal account may give you access

Abstract

This study compared the performance of single-point near infrared spectroscopy (NIR) and near infrared chemical imaging (NIR-CI) for the detection and quantification of ruminant meat meal in processed animal proteins (PAPs). A set of 126 fish-meal samples adulterated with controlled amounts (0.25% to 16%) of ruminant meal were analysed using the two techniques. Comparison of results showed that spectra obtained by NIR-CI provided better qualitative information, whereas more accurate quantitative predictions were obtained using NIR spectroscopy. NIR-CI thus offers greater potential for species discrimination/identification, whilst NIR spectroscopy is better suited for the quantification of meal derived from a given species in PAPs. These findings represent a first step in the analysis of mixed-species processed animal proteins and suggest that NIR-CI, by providing valuable information on species origin, is a promising tool that could be used as part of the EU feed control programme aimed at eradicating and preventing Bovine Spongiform Encephalopathy (BSE) and related diseases.

© 2012 IM Publications LLP

PDF Article
More Like This
Magnetic-resonance-imaging–coupled broadband near-infrared tomography system for small animal brain studies

Xu Heng, Roger Springett, Hamid Dehghani, Brian W. Pogue, Keith D. Paulsen, and Jeff F. Dunn
Appl. Opt. 44(11) 2177-2188 (2005)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.