ReviewMolecules (Basel, Switzerland)2024
The Techno-Functionality of Chia Seed and Its Fractions as Ingredients for Meat Analogs.
Review in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- Utilization of Fermentation Process for the Production of Novel Plant-Based Meat Analogs: A Review of Microorganisms, Processing, and Regulations.Comprehensive reviews in food science and food safety · 2026Review
- Peach Palm (Foods (Basel, Switzerland) · 2026Review
- Physicochemical Properties and Fatty Acid Profiling of Texturized Pea Protein Patties Partially Replaced with Chia Seed Powder During Refrigerated Storage.Foods (Basel, Switzerland) · 2026Article
- Optimization of Lentils, Peas, and Beans-based Vegetable Burger Formulation Using D-optimal Mixture Design.Plant foods for human nutrition (Dordrecht, Netherlands) · 2025Article
- Defatted chia (Current research in food science · 2025Review
- Market Status of Meat Analogs and Their Impact on Livestock Industries.Food science of animal resources · 2024Review
- From 'Farm to Fork': Exploring the Potential of Nutrient-Rich and Stress-Resilient Emergent Crops for Sustainable and Healthy Food in the Mediterranean Region in the Face of Climate Change Challenges.Plants (Basel, Switzerland) · 2024Review
- Functional foods with a tailored glycemic response based on food matrix and its interactions: Can it be a reality?Food chemistry: X · 2024Review
- Investigating the Probiotic Potential of Vegan Puree Mixture: Viability during Simulated Digestion and Bioactive Compound Bioaccessibility.Nutrients · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Eating practices are changing due to awareness about meat consumption associated with social, ethical, environmental, and nutritional issues. Plant-based meat analogs are alternatives to conventional meat products that attempt to mimic all the inherent characteristics of meat fully. Therefore, the search for raw materials that provide these characteristics is increasing. Chia seeds have excellent potential as a functional ingredient in these products since they are a source of proteins, lipids, and fibers. Allied with this, the full use of chia through the seed and its fractions highlights the numerous beneficial characteristics of the formulation regarding nutritional characteristics and techno-functionality. Therefore, this review aims to highlight the potential of chia seed and its fractions for applications in meat-like products. Chia seeds are protein sources. Chia oil is rich in polyunsaturated fatty acids, and its application in emulsions ensures the oil's nutritional quality and maintains its technological characteristics. Defatted chia flour has a high protein content and can be used to extract chia mucilage. Due to its high emulsification capacity, chia mucilage is an effective ingredient for meat products and, consequently, meat-like products. Therefore, this literature review demonstrates the strategic potential of using chia seeds and their fractions to develop meat analogs.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.