Selection of new markers for animal by-products characterization by classical microscopy

The aim of this study was to identify possible markers to distinguish differences between land animals by using the microscopic method in association with computer image analysis. For this purpose bone fragments from poultry and mammals were obtained and analysed by microscopic method. Through a digital camera and an image analysis software 85 bone lacunae images have been processed and elaborated in order to obtain for each lacuna a monochrome mask on which several measurements were performed. Data were analysed by ANOVA and LDA. Results obtained in the present study indicated that of 32 descriptors processed by image analysis software, only 12 were significantly (P<0.001) different between mammalian and poultry. However, when morphometric measurements were analysed by LDA, 86% of lacunae were correctly classified into the animal class of origin (i.e. mammalian as mammalian and poultry as poultry). By contrast 14% of lacunae were incorrectly classified. In conclusion, data here presented indicate that some of descriptors used by image analysis appears promising not only for a reliable distinction between the different origins of animal meal at the level of vertebrate classes, but also for further characterisation and identification of processed animal proteins in animal feeds

New technology and system analysis in studying feedstuff contaminants : dottorato di ricerca in alimentazione animale e sicurezza alimentare : tesi di dottorato

The aim of this study was to evaluate the potential of image analysis measurements in combination with the official analytical method (Commission directive 2003/126/EC) for the detection of constituents of animal origin in feedstuffs, in distinguishing between land animals (i.e. poultry vs. mammals). Results obtained in the present study indicated that even though most of the variables measured were significantly different between mammalian and poultry in term of mean, only a few can be used in distinguishing avian vs. mammalian material. In conclusion, data presented indicate that some of the variables/descriptors provided by image analysis related to lacunae dimensions and features appear promising for a reliable distinction between animal meal at the level of vertebrate classes, while for further characterisation, at higher taxonomic level, contribution of morphological variables deserve further investigation

Combining microscopic methods and computer image analysis for lacunae morpho-metric measurements in poultry and mammal by-products characterization

The aim of this study was to evaluate the potential of image analysis measurements in combination with the official analytical method (Commission directive 2003/126/EC) for the detection of constituents of animal origin in feedstuffs, in distinguishing between land animals (i.e. poultry vs mammals). Results obtained in the present study indicated that even though most of the variables measured were significantly different between mammalian and poultry in terms of mean, only a few can be used in distinguishing avian vs mammalian material. In conclusion, data presented indicate that some of the variables/descriptors provided by image analysis related to lacunae dimensions and features appear promising for a reliable distinction between animal meal at the level of vertebrate classes, while for further characterization, at higher taxonomic level, contribution of morphological variables deserves further investigation

Combining microscopic methods and computer image analysis for lacunae morpho-metric measurements in poultry and mammal by-products characterization

The aim of this study was to evaluate the potential of image analysis measurements in combination with the official analytical method (Commission directive 2003/126/EC) for the detection of constituents of animal origin in feedstuffs, in distinguishing between land animals (i.e. poultry vs mammals). Results obtained in the present study indicated that even though most of the variables measured were significantly different between mammalian and poultry in terms of mean, only a few can be used in distinguishing avian vs mammalian material. In conclusion, data presented indicate that some of the variables/descriptors provided by image analysis related to lacunae dimensions and features appear promising for a reliable distinction between animal meal at the level of vertebrate classes, while for further characterization, at higher taxonomic level, contribution of morphological variables deserves further investigation