JOURNAL ARTICLE
Insight into the potato protein-based vegan cheese: A comprehensive study on physicochemical, mechanical and molecular properties.
Published In: Food Science & Technology International, 2026, v. 32, n. 4. P. 385 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Kowalczewski, Przemysław Łukasz; Smarzyński, Krzysztof; Biegalski, Jakub; Muzolf-Panek, Małgorzata; Cais-Sokolińska, Dorota; Ruszkowska, Millena; Lewandowicz, Jacek; Miedzianka, Joanna; Wróbel, Martyna Maria; Kačániová, Miroslava; Baranowska, Hanna Maria 3 of 3
Abstract
This article focuses on the development and characterization of a plant-based vegan cheese analogue using protein isolated from potato juice, a by-product of the starch industry. The research demonstrates that incorporating potato protein at around 5%, combined with 12% coconut oil and 25% modified potato starch, produces a cheese analogue with favorable nutritional value, molecular dynamics, texture, and meltability suitable for culinary applications such as pizza. Analytical methods including low-field NMR relaxometry, rheological, and textural tests revealed that increasing biopolymer content (protein, starch, fat) enhances hardness and viscosity, while the optimal formulation balances these properties for consumer appeal. The study highlights the environmental benefit of valorizing potato juice waste and aligns with circular economy principles, supporting sustainable innovation in plant-based dairy alternatives.
Additional Information
- Source:Food Science & Technology International. 2026/06, Vol. 32, Issue 4, p385
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2026
- ISSN:1082-0132
- DOI:10.1177/10820132251315810
- Accession Number:193487867
- Copyright Statement:Copyright of Food Science & Technology International is the property of Sage Publications Inc. 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.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.