Qualitative evaluation of tortellini meat filling by histology and image analysis |
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Authors: | Gabriele Ghisleni Simone Stella Enrico Radaelli Silvana Mattiello Eugenio Scanziani |
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Affiliation: | 1. Dipartimento di Patologia Animale, Igiene e Sanità Pubblica Veterinaria, Sezione di Anatomia Patologica Veterinaria e Patologia Aviare, Università degli Studi di Milano, via Celoria 10, 20133 Milan, Italy;2. Dipartimento di Scienze e Tecnologie Veterinarie per la Sicurezza Alimentare, Laboratorio di Ispezione degli Alimenti di Origine Animale, Università degli Studi di Milano, via Celoria 10, 20133 Milan, Italy;3. Dipartimento di Scienze Animali, Sezione di Zootecnica Veterinaria, Università degli Studi di Milano, via Celoria 10, 20133 Milan, Italy |
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Abstract: | The aim of this study was to identify the presence of different animal tissues in tortellini meat‐filling with special emphasis on the percentage of skeletal muscle. Industrially packed and refrigerated tortellini filling from four different Italian commercial brands were examined and compared. From each brand, five different batches were sampled at intervals of 1 month. From each batch, four fillings were randomly sampled and coded to allow a blind examination. Histological sections were examined to identify the presence of various animal tissues. The presence of large fragments of skeletal muscle in specimens were assessed and semiquantitatively ranked. To evaluate the percentage area of skeletal muscle in the samples, a computerised image analysis system was used. Animal tissues were well preserved in all examined samples. The filling quality was quantified by histology and image analysis evaluating: skeletal muscle density, size of skeletal muscle fragments, and uniformity of batches. In addition to the effective enforcement of food labelling law and the protection of consumers, histology and image analysis are reliable tools to identify small amounts of various animal tissues in a processed meat product. |
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Keywords: | Image analysis meat products microscopy |
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