| Issue |
BIO Web Conf.
Volume 207, 2025
The 3rd International Conference on Animal Research for Eco-Friendly Livestock Industry (3rd ICARELI 2025)
|
|
|---|---|---|
| Article Number | 04002 | |
| Number of page(s) | 9 | |
| Section | Food Safety and Security of Animal Resources | |
| DOI | https://doi.org/10.1051/bioconf/202520704002 | |
| Published online | 24 December 2025 | |
Enhancing nutritional quality of beef meatballs through the incorporation of Cavendish Banana (Musa acuminata Colla) peels
Food Technology Program, Faculty of Engineering, Bina Nusantara University, Tangerang, Banten, Indonesia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Beef meatballs are popular protein-rich foods but are inherently low in dietary fiber. Cavendish banana peels (35–40% of fruit weight), commonly discarded as waste, are rich in fiber and bioactive compounds and offer potential for waste valorization. This study evaluated banana peel incorporation into beef meatballs by evaluating physical, chemical, microbiological, and sensory properties. Banana peel substitution significantly increased (p < 0.05) dietary fiber content, cooking yield, and water-holding capacity, while significantly reducing cooking loss, hardness, protein, and fat levels. Despite a darker color, all formulations met Indonesian National Standard requirements. Total Plate Count showed no microbial growth, and hedonic evaluation revealed no significant differences (p > 0.05) in color, aroma, or texture acceptance. The optimal formulation, 30% banana peel and 70% beef, provided a statistically significant fiber enhancement while maintaining product safety, sensory acceptability, and regulatory compliance. These findings demonstrate the effective valorization of banana peel waste as a functional ingredient for improving the nutritional quality of meat products.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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