Academic Journal
Image-Based Pore Space and Pore Network Characterization: A Review of 2D/3D Workflow in Foods.
| Τίτλος: | Image-Based Pore Space and Pore Network Characterization: A Review of 2D/3D Workflow in Foods. |
|---|---|
| Συγγραφείς: | Luka BS; Department of Agricultural Engineering, Federal University, Wukari, Taraba State, Nigeria.; Department of Agriculture, Integral University, Lucknow, India., Ibrahim AG; Department of Chemical Engineering, Federal University, Wukari, Taraba State, Nigeria.; IMT Mines Albi, Université de Toulouse, Albi, France., Muhammed IB; Department of Agricultural Engineering, Federal University, Wukari, Taraba State, Nigeria.; College of Engineering, Nanjing Agricultural University, Nanjing, China., Yunusa BM; Department of Food Science and Technology, Federal University, Wukari, Taraba State, Nigeria., Siddiqui MH; Department of Bioengineering, Integral University, Lucknow, India., Osama K; Department of Bioengineering, Integral University, Lucknow, India. |
| Πηγή: | Journal of food science [J Food Sci] 2026 Sep; Vol. 91 (9), pp. e71450. |
| Τύπος έκδοσης: | Journal Article; Review |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Wiley on behalf of the Institute of Food Technologists Country of Publication: United States NLM ID: 0014052 Publication Model: Print Cited Medium: Internet ISSN: 1750-3841 (Electronic) Linking ISSN: 00221147 NLM ISO Abbreviation: J Food Sci Subsets: MEDLINE |
| Imprint Name(s): | Publication: Malden, Mass. : Wiley on behalf of the Institute of Food Technologists Original Publication: Champaign, Ill. Institute of Food Technologists |
| Ιατρικοί όροι (MeSH): | Imaging, Three-Dimensional*/methods , Image Processing, Computer-Assisted*/methods , Food Analysis*/methods, Food Handling/methods ; X-Ray Microtomography ; Microscopy, Electron, Scanning ; Algorithms ; Porosity ; Workflow |
| Περίληψη: | Food microstructure plays an important role in governing mass transfer and textural properties during processing; hence, its characterization is essential for process optimization and product quality improvement. In this review, the application of image processing techniques for the characterization of pore spaces and pore networks in foods was examined. The workflow comprises image acquisition, preprocessing, segmentation, reconstruction, 2D/3D visualization, and quantitative analysis. Potentials and limitations of scanning electron microscopy (SEM) and X-ray micro-computed tomography (X-ray micro-CT) were elucidated. Published studies were analyzed to evaluate how image resolution, image quality, and segmentation methods influenced the results of pore space and pore network characterization. The reviewed literature showed that segmentation algorithms and imaging resolution are the two most critical factors influencing the accuracy of pore space and pore network characterization. SEM provides high-resolution surface information; X-ray micro-CT offers non-destructive 3D visualization of internal pore structures. This demonstrates an important trade-off between the two techniques. The relationship between image-based pore structure, food texture, and mass transfer processes in foods was elucidated. The state-of-the-art, challenges, emerging trends, and future research directions were identified and discussed. These include the lack of validation or benchmark datasets and the need for benchmark datasets and the need for a focus on AI-assisted/explainable/interpretable AI-based segmentation algorithms and multiscale imaging approaches. These developments will offer new opportunities for improving the accuracy and deployment of image-based pore characterization, thereby supporting the design of optimized food processing operations, improving texture prediction and mass transfer, and advancing quality control in food engineering. (© 2026 Institute of Food Technologists.) |
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| Grant Information: | Integral University Lucknow, India; Tertiary Education Trust Fund, Nigeria |
| Contributed Indexing: | Keywords: foods; image processing; pore network; pore space |
| Entry Date(s): | Date Created: 20260910 Date Completed: 20260910 Latest Revision: 20260914 |
| Update Code: | 20260914 |
| PubMed Central ID: | PMC13559874 |
| DOI: | 10.1111/1750-3841.71450 |
| PMID: | 42720082 |
| Βάση Δεδομένων: | MEDLINE |
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