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Proceedings Paper

Near-infrared microscopic methods for the detection and quantification of processed by-products of animal origin
Author(s): O. Abbas; J. A. Fernández Pierna; P. Dardenne; V. Baeten
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Paper Abstract

Since the BSE crisis, researches concern mainly the detection, identification, and quantification of meat and bone meal with an important focus on the development of new analytical methods. Microscopic based spectroscopy methods (NIR microscopy - NIRM or/and NIR hyperspectral imaging) have been proposed as complementary methods to the official method; the optical microscopy. NIR spectroscopy offers the advantage of being rapid, accurate and independent of human analyst skills. The combination of an NIR detector and a microscope or a camera allows the collection of high quality spectra for small feed particles having a size larger than 50 μm. Several studies undertaken have demonstrated the clear potential of NIR microscopic methods for the detection of animal particles in both raw and sediment fractions. Samples are sieved and only the gross fraction (superior than 250 μm) is investigated. Proposed methodologies have been developed to assure, with an acceptable level of confidence (95%), the detection of at least one animal particle when a feed sample is adulterated at a level of 0.1%. NIRM and NIR hyperspectral imaging are running under accreditation ISO 17025 since 2005 at CRA-W. A quantitative NIRM approach has been developed in order to fulfill the new requirements of the European commission policies. The capacities of NIRM method have been improved; only the raw fraction is analyzed, both the gross and the fine fractions of the samples are considered, and the acquisition parameters are optimized (the aperture, the gap, and the composition of the animal feed). A mapping method for a faster collection of spectra is also developed. The aim of this work is to show the new advances in the analytical methods developed in the frame of the feed ban applied in Europe.

Paper Details

Date Published: 20 April 2010
PDF: 14 pages
Proc. SPIE 7676, Sensing for Agriculture and Food Quality and Safety II, 76760O (20 April 2010); doi: 10.1117/12.850100
Show Author Affiliations
O. Abbas, Walloon Agricultural Research Ctr. (Belgium)
J. A. Fernández Pierna, Walloon Agricultural Research Ctr. (Belgium)
P. Dardenne, Walloon Agricultural Research Ctr. (Belgium)
V. Baeten, Walloon Agricultural Research Ctr. (Belgium)

Published in SPIE Proceedings Vol. 7676:
Sensing for Agriculture and Food Quality and Safety II
Moon S. Kim; Shu-I Tu; Kaunglin Chao, Editor(s)

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