Document Type
Article
Publication Date
12-2025
Keywords
Red lentil proteins, Supercritical carbon dioxide, Drying, Moisture content, Optimization, Functionality
Abstract
Red lentils are protein-rich sources that are highly regarded in the plant-based food industry for their color. Appropriate drying methods are essential for maintaining the physicochemical and nutritional properties of the proteins. This study investigates the impact of three drying methods, namely oven drying, freeze-drying, and supercritical carbon dioxide (SC-CO₂) drying, on the physicochemical and functional properties of red lentil proteins (RLP). SC-CO₂ drying was optimized at varying temperatures (35–55 °C), pressures (10–20 MPa), and CO₂ flow rates (2–3 L/min), with optimal drying observed at 55 °C, 20 MPa, and 3 L/min, resulting in significantly reduced moisture content (5.7 %). Among the drying techniques, the SC-CO₂-dried samples exhibited superior foaming (215 %) and emulsifying properties, which were attributed to smaller particle size, improved solubility, and moderate surface hydrophobicity. Freeze-dried samples displayed a porous, sponge-like structure with loosely aggregated particles, correlating with higher water and oil absorption indices and increased creaming capacity. Oven-dried samples, by contrast, exhibited denser and rougher surface morphology, resulting in reduced solubility and functional properties. Color analysis revealed that SC-CO₂ drying best preserved the natural pinkish-red color of RLP, while oven-dried samples appeared more faded with lower chroma and hue values. These findings demonstrate that SC-CO₂ drying is a promising, efficient, and eco-friendly alternative for preserving protein quality and enhancing functionality for food applications.
Citation
Niveditha Asaithambi, Arda Tuhanioglu, Ali Ubeyitogullari, A novel drying technology based on supercritical carbon dioxide to enhance the functional properties of red lentil proteins, Future Foods, Volume 12, 2025, 100842, ISSN 2666-8335, https://doi.org/10.1016/j.fufo.2025.100842.
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Comments
Web of Science
Elsevier