ArticleFoods (Basel, Switzerland)2021
Development of Nano Soy Milk through Sensory Attributes and Consumer Acceptability.
Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- How Are Plant-Based Milk Alternatives Presented Online? A Comparison of Information on Allergens, Nutrients and Sustainability Between Product Types From Selected UK Retailer Websites.Food science & nutrition · 2026Article
- Challenges and Technological Strategies to Enhance Probiotic Viability in Non-Dairy Food Matrices.Molecules (Basel, Switzerland) · 2026Review
- Modeling the relationship between sensory attributes and liking using generalized additive mixed models: a case study of plant-based meat alternatives.NPJ science of food · 2026Article
- Development of phage-resistantFood chemistry: X · 2026Article
- Exploring the acceptance of mozzarella cheese in school lunches among school-aged children: a pilot study.Frontiers in nutrition · 2025Article
- Indigenous-based probiotic beverage from peanuts and soybean: development, optimization, and characterization.FEMS microbes · 2025Article
- Storage stability and shelf-life of soymilk obtained via repeated boiling and filtering: A predictive model.Food science & nutrition · 2024Article
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Authors and funding
7 authors.
Funding
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Abstract
Nanotechnology is currently applied in food processing and packaging in the food industry. Nano encapsulation techniques could improve sensory perception and nutrient absorption. The purpose of this study was to identify the sensory characteristics and consumer acceptability of three types of commercial and two types of laboratory-developed soy milk. A total of 20 sensory attributes of the five different soy milk samples, including appearance, smell (odor), taste, flavor, and mouthfeel (texture), were developed. The soy milk samples were evaluated by 100 consumers based on their overall acceptance, appearance, color, smell (odor), taste, flavor, mouthfeel (texture), goso flavor (nuttiness), sweetness, repeated use, and recommendation. One-way analysis of variance (ANOVA), principal component analysis (PCA), and partial least square regression (PLSR) were used to perform the statistical analyses. The SM_D sample generally showed the highest scores for overall liking, flavor, taste, mouthfeel, sweetness, repeated consumption, and recommendation among all the consumer samples tested. Consumers preferred sweet, goso (nuttiness), roasted soybean, and cooked soybean (nuttiness) attributes but not grayness, raw soybean flavor, or mouthfeel. Sweetness was closely related to goso (nuttiness) odor and roasted soybean odor and flavor based on partial least square regression (PLSR) analysis. Determination of the sensory attributes and consumer acceptance of soymilk provides insight into consumer needs and desires along with basic data to facilitate the expansion of the consumer market.
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