JOURNAL ARTICLE

Functional Fat Substitution With Black Cumin (Nigella sativa) Oil to Improve the Nutritional Profile of Traditional Polish Wild Boar Sausages.

  • Published In: Animal Science Journal, 2025, v. 96, n. 1. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Halagarda, Michał; Tlałka, Monika; Juszczak, Lesław; Lorenzo, Jose M. 3 of 3

Abstract

Polish traditional sausages are widely recognized, with wild boar sausage particularly valued as a delicacy. Game meat sausages traditionally contain pork backfat, which is nutritionally suboptimal due to its high saturated fat content. This study evaluated the feasibility of partially substituting pork backfat with black cumin (Nigella sativa) oil to enhance the nutritional profile and stability of wild boar sausages. Fatty acid composition, pH, lipid oxidation, antioxidant activity, texture, color, and consumer desirability were analyzed. N. sativa oil improved the fatty acid profile by increasing unsaturated fatty acids and enhancing antioxidant properties, contributing to better oxidative stability and shelf life. However, higher substitution levels negatively affected sensory attributes, particularly flavor and texture. A 10% substitution level was identified as optimal, balancing improved nutritional properties with sensory acceptability. These findings suggest that N. sativa oil is a promising functional ingredient for reformulating traditional meat products, offering both health benefits and product stability. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Animal Science Journal. 2025/01, Vol. 96, Issue 1, p1
  • Document Type:Article
  • Subject Area:Nutrition and Dietetics
  • Publication Date:2025
  • ISSN:1344-3941
  • DOI:10.1111/asj.70125
  • Accession Number:190446227
  • Copyright Statement:Copyright of Animal Science Journal is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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