Source: UNIVERSITY OF CORDOBA submitted to
ADULTERATION DETECTION FOR ANIMAL FEEDS
Sponsoring Institution
Agricultural Research Service/USDA
Project Status
NEW
Funding Source
Reporting Frequency
Annual
Accession No.
0430501
Grant No.
(N/A)
Project No.
8042-42000-020-03S
Proposal No.
(N/A)
Multistate No.
(N/A)
Program Code
(N/A)
Project Start Date
Apr 1, 2016
Project End Date
Apr 30, 2019
Grant Year
(N/A)
Project Director
KIM M S
Recipient Organization
UNIVERSITY OF CORDOBA
AVENIDA MENENDEZ PIDAL S/N
CORDOBA,null 14080
Performing Department
ANIMAL PRODUCTION
Non Technical Summary
(N/A)
Animal Health Component
(N/A)
Research Effort Categories
Basic
30%
Applied
30%
Developmental
40%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
71274102020100%
Goals / Objectives
The objective is to evaluate meat and bone meal (MBM) materials using Raman chemical imaging and near-infrared hyperspectral imaging technologies to characterize their spectral and spatial features, for detection and identification of animal meals including ruminant, poultry, swine, and fish meals. The goals are to develop rapid and non-destructive methods to authenticate animal feed and to detect MBM-adulterated animal feed.
Project Methods
There is a need for rapid and non-destructive methods to authenticate animal feed that is free of meat and bone meal (MBM), as well as to detect MBM-adulterated animal feed because of the risks of bovine spongiform encephalopathy (BSE or "mad-cow disease"), which is fatal to cattle and humans. Rendered meat and bone meal materials contain mixtures of animal parts in a range of particle sizes. Conventional or commercial Raman spectroscopic systems are ill-suited to characterizing such heterogeneous biological materials. Macro-scale Raman chemical imaging and near-infrared hyperspectral imaging responses will be investigated for multiple types of animal meals. Spatial and spectral analyses from using Raman and hyperspectral imaging technologies will potentially provide a rapid means to determine identification and content of individual meals and meal mixtures.