Abstract

Journal of Near Infrared Spectroscopy
Volume 15 Issue 2, Pages 81–88 (2007)
doi: 10.1255/jnirs.688

Discrimination of fish bones from other animal bones in the sedimented fraction of compound feeds by near infrared microscopy

M.J. De la Haba,^a J.A. Fernández Pierna,^b O. Fumière,^b A. Garrido-Varo,^a J.E. Guerrero,^a D.C. Pérez-Marín,^a P. Dardenne^b and V. Baeten^b,*
aFaculty of Agriculture and Forestry Engineering, ETSIAM, University of Córdoba, 14071 Córdoba, Spain
^bWalloon Agricultural Research Centre (CRA-W), Quality of Agricultural Products Department, Chaussée de Namur 24, 5030 Gembloux, Belgium. E-mail: baeten@cra.wallonie.be

Since the bovine spongiform encephalopathy (BSE) crisis, the use of animal proteins in animal feed has been prohibited. From October 2003, the European Union (EU) adopted Regulation (EC) no. 1774/2002 governing animal by-products (ABPs), which seeks to address the possible risks inherent in recycling potential infectivity due to the absence of barriers within species and to exclude the cannibalism which may be induced by intra-species recycling. There is an urgent need to develop fast and reliable methods for identification of low-level ABP origins. In this study, near infrared (NIR) microscopy was used to identify different classes of ABPs. Samples of fish meals (n = 10) and meals of land-animal origin (n = 50) were ground, sedimented and analysed using an Auto Image Microscope connected to a Fourier transform near infrared spectrometer (FT-NIR). Sediment fraction particles were spread on a Spectralon plate, presented to the NIR microscope and scanned in the 1112–2500 nm region. The support vector machine (SVM) algorithm was used to construct models to identify class origin. Models correctly classified 100% of the samples in the calibration set and between 95 and 95.5% in the validation set. The results demonstrated the potential of FT-NIR microscopy as a rapid method for distinguishing between fish and land-animal particles.

Keywords: animal by-products, near infrared (NIR) microscopy, discrimination, class origin, support vector machines (SVM)

---

Full-text article (324 kB) (subscribers only)

Buy article on-line for £20 (get immediate access)

Alerting Service

 RSS Feed

Permalink: http://dx.doi.org/10.1255/jnirs.688
QR Code (what is this?):

---