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The production of dry-fermented meat products, including dry-fermented sausages, has a long tradition in Croatian households. These sausages differ greatly depending on the production region. The aim of the study was to characterize the best-known types of dry-fermented Croatian sausages from Eastern Croatia, including Kulen, Kulenova Seka and Slavonian sausage. The results uncovered significant differences (p<0.05) in chemical properties of the above sausages in terms of not only fat, water and ash, but also mineral (sodium and calcium) content. Fatty acid profiles of the sausages under study did not significantly differ, except for the share of total saturated fatty acids and stearic acid. These findings indicate that different recipes and production processes applied to these fermented pork meat sausages affect their physicochemical properties and mineral content, but not their fatty acid profile. [ABSTRACT FROM AUTHOR]

Featured Application: A potential application is the prediction of the chemical composition of sausages with near infrared reflectance (NIR) spectroscopy devices in small scale production conditions. In the present study, the potential of application of near infrared reflectance (NIR) spectroscopy for the estimation of the chemical composition of traditional (village style) sausages was examined. The chemical composition (moisture, ash, protein and, fat content) was determined by standard reference methods. For the development of the calibration model, 39 samples of traditional fresh sausages were used, while for external validation, 10 samples of sausages were used. The correlation coefficients of calibration (RMSEC) and standard errors (SEC) were 0.92 and 1.58 (moisture), 0.77 and 0.18 (ash), 0.87 and 0.89 (protein) and 0.93 and 1.73 (fat). The cross-validation correlation coefficients (RMSECV) and standard errors (SECV) were 0.86 and 2.13 (moisture), 0.56 and 0.26 (ash), 0.78 and 1.17 (protein), and 0.88 and 2.17 (fat). The results of the calibration model showed that NIR spectroscopy can be applied to estimate with very good precision the fat content of traditional village-style sausages, whereas moisture and protein content can be estimated with good accuracy. The external validation confirmed the ability of NIR spectroscopy to predict the chemical composition of sausages. [ABSTRACT FROM AUTHOR]

In the present study, the potential of application of near infrared reflectance (NIR) spectroscopy for the estimation of the chemical composition of traditional (village style) sausages was examined. The chemical composition (moisture, ash, protein and, fat content) was determined by standard reference methods. For the development of the calibration model, 39 samples of traditional fresh sausages were used, while for external validation, 10 samples of sausages were used. The correlation coefficients of calibration (RMSEC) and standard errors (SEC) were 0.92 and 1.58 (moisture), 0.77 and 0.18 (ash), 0.87 and 0.89 (protein) and 0.93 and 1.73 (fat). The cross-validation correlation coefficients (RMSECV) and standard errors (SECV) were 0.86 and 2.13 (moisture), 0.56 and 0.26 (ash), 0.78 and 1.17 (protein), and 0.88 and 2.17 (fat). The results of the calibration model showed that NIR spectroscopy can be applied to estimate with very good precision the fat content of traditional village-style sausages, whereas moisture and protein content can be estimated with good accuracy. The external validation confirmed the ability of NIR spectroscopy to predict the chemical composition of sausages.