ArticleCurrent research in food science2025
Meat analogues: The relationship between mechanical anisotropy, macrostructure, and microstructure.
Article in Current research in food science, 2025. 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.
- High-Moisture Extrusion of Plant-Based Meat Analogues: Challenges and Opportunities.Foods (Basel, Switzerland) · 2026Review
- Linking Structural and Mechanical Properties to Multimodal Sensory Perception of Fibrousness in Plant-Based Meat Analogs.Journal of texture studies · 2026Article
- Apple Pomace in Ready-to-Eat Plant-Based Meat Analogs: Functionality, Challenges, and Opportunities.Foods (Basel, Switzerland) · 2026Review
- Molecular Insights into Soy Protein-Lupin Flour Meat Analogues through FTIR Spectrochemical Analysis.Journal of agricultural and food chemistry · 2026Article
- Predicting the compression mechanical properties of muscle from microscale indentation mechanics using multiscale mechanical models.Current research in food science · 2026Article
- Three-dimensional characterization of fibrous microstructure in meat analogs using micro-computed X-ray tomography/μCT-based granulometry.Frontiers in nutrition · 2026Article
- Mechanical, rheological, and sensory characterization of lion's mane mushroom steak.Current research in food science · 2026Article
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Authors and funding
5 authors.
Funding
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Abstract
Texture of meat analogues is crucial for consumer acceptance, yet it remains poorly defined, but it known that it is influenced by mechanical properties and structure at different length scales. This study describes the relationships between macrostructure, microstructure, and mechanical anisotropy in meat analogues. Two distinct meat analogue product sets are produced with shear cell technology varying in formulations and processing conditions to obtain a wide range of product structures: one based on mung bean protein-rich fractions and the other based on combinations of soy protein isolate and pectin. Mechanical properties are assessed using tensile testing, microstructure is studied using X-ray tomography and confocal laser scanning microscopy, and macrostructure is quantified using a computer vision algorithm based on segmentation and shape features. Both correlation analyses on the response parameters and parameter variance are studied to distinguish the product sets. Strong correlations are found between anisotropy-related parameters, such as fibre score in macrostructure, air anisotropy in microstructure, and the toughness anisotropy index from mechanical properties. Some correlations are found to be product-set independent, such as air bubble anisotropy and fibre score, indicating universal relationships within this study, while other correlations are product-set dependent, such as between fibre score and the anisotropy index of the Young's Modulus in the mung bean fine fraction product set. The relationship between microstructural air bubbles and macrostructure and mechanical properties is apparent in all correlation analyses. Last, univariate feature selection provided insight into which parameters are most important for selected target features.
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