Abstract

Bovine spongiform encephalopathy is a mortal bovine disease. Epidemiologic studies have linked the disease to animal feed contaminated with infected protein. In Argentina, the feeding of bovines with components of animal origin is banned, except for fishmeal and bone ash. Nowadays, optical microscopy is used to analyze animal feed and its components. In this method, technical analytical expertise is very important. This is why the development of a methodology that produces results which can be rapidly and automatically compared is urgently needed. The specific infrared microscopy method presented in this work delivers qualitative results in terms of the presence or absence of animal particles by applying specific decision rules. The object of this work was to assess the methodology of near infrared microscopy for the qualitative determination of the presence of particles of animal origin in matrices of bone ash. The spectra were collected by an image microscope coupled to a Fourier transform infrared spectrometer operating in the reflection mode. Four mappings were done per sample, obtaining 1000 spectra per mapping. They were selected from an area on the slide of 50 particles in the axis X and 20 particles in the axis Y. Spectra were automatically collected at these points. In order to find the fragments of animal origin in the samples, a specific software program was developed. The program analyzed the spectra and evaluated the presence of bone fragments. From the validation results, it could be inferred that 4000 spectra should be observed in order to achieve a detection limit of 0.05 g bone fragments 100 g−1 bone ash. Selectivity, intermediate precision and repeatability were also analyzed with satisfactory results. Therefore, the validated method can be easily applied in routine analysis of bone ashes.

© 2018 The Author(s)

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