ArticleFood science & nutrition2024
Storage stability and shelf-life of soymilk obtained via repeated boiling and filtering: A predictive model.
Article in Food science & nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Microwave Pretreatment of Soybeans Prior to Soaking Enhances Mechanical and Rehydration Properties of Yuba.Foods (Basel, Switzerland) · 2026Article
- Storage stability and shelf-life of soymilk obtained via repeated boiling and filtering: A predictive model.Food science & nutrition · 2024Article
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10 authors.
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Abstract
This study investigated the effects of different processing methods on the quality and nutrition of soymilk, as well as the changes in storage stability (centrifugal sedimentation rate (CSR), viscosity, and particle size) and shelf-life of soymilk at different storage temperatures (25°C, 35°C, 45°C, and 55°C). Results showed that soymilk processed via the repeated boiling-to-filtering method (RBFM) exhibited the highest protein content (3.89 g/100 g), carbohydrate content (1.27 g/100 g), and stability coefficient (0.950). The CSR and particle size of RBFM soymilk increased gradually during storage at different temperatures, while the viscosity and sensory score decreased. The correlation between the CSR and the sensory score of RBFM soymilk was the highest (
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