Issue |
BIO Web Conf.
Volume 167, 2025
5th International Conference on Smart and Innovative Agriculture (ICoSIA 2024)
|
|
---|---|---|
Article Number | 04005 | |
Number of page(s) | 5 | |
Section | Precision Nutrition Technology | |
DOI | https://doi.org/10.1051/bioconf/202516704005 | |
Published online | 19 March 2025 |
Porosity mapping of extrudate snacks based on X-ray images
Department of Agricultural and Biosystems Engineering, Faculty of Agricultural Technology, Universitas Gadjah Mada
* Corresponding author: bayu.nugraha@ugm.ac.id
Extruded snacks are popular food products, but their quality depends on extrusion process such as temperature and moisture content. Understanding how these conditions affect the microstructure and porosity of extrudates can help improve quality control. Conventional methods for measuring porosity in extrudates are destructive. Non-destructive methods like X-ray computed tomography (CT) scanning could characterize porosity while preserving samples. This study used X-ray CT scanning and image analysis to characterize the microstructure and porosity of extruded corn-bean snacks produced under different extrusion temperatures and moisture contents. Snacks were produced by extruding a mixture of corn grits and bean flour at 120°C or 140°C barrel temperature and 14% or 18% feed moisture. The extrudates were scanned by X-ray CT, and Avizo software was used to reconstruct 3D images and quantify porosity. Lower moisture extrudates exhibited higher porosity up to 67% and pore volume up to 7000 mm3. Grayscale values correlated to measured porosity allowed the creation of a porosity colormap. X-ray CT scanning non-destructively characterized microstructure and porosity differences between extrudates produced under different conditions. The image analysis techniques could be applied for quality evaluation of extruded snacks.
Publisher note: The address of the author of correspondence has been accidenttaly attributed to the first author, it has been reassigned to Bayu Nugraha on April 10, 2025.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.