首页|Determination of porosity and permeability correlation of leafy vegetable based on X-ray computed tomography and cell segmentation

Determination of porosity and permeability correlation of leafy vegetable based on X-ray computed tomography and cell segmentation

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Porosity and permeability are critical physical parameters for accurately modelling macroscale heat and mass transfer processes during the cooling, thermal processing, and storage of leafy vegetables. However, existing estimation methods primarily rely on lumped semi-empirical approaches, which overlook the realistic 3D structural information, limiting insights into microscale water transport behaviour. This study utilised low-and high-resolution X-ray computed tomography (CT) combined with advanced cell segmentation techniques to determine the porosity-permeability correlation of spinach, a representative easily dehydrated leafy vegetable. Experiments demonstrated that the Cellpose, dilation, and erosion algorithms effectively segmented adhering cells and generated lamina and petiole slices with varying porosity gradients. Using 3D reconstruction and seepage simulation, the porosity and permeability of representative elementary volumes (REVs) in the lamina and petiole tissues were calculated, and the pressure and flow rate distributions within the intercellular spaces were visualised. The porosity-permeability relationship was fitted using the Kozeny-Carman (KC) formula as Kl = 4.839 x 10-11rp1.70/(1-rp)0.70 for lamina REVs and Kp = 1.128 x 10-10rp2.16/(1-rp)1.16 for petiole REVs. Grayscale-porosity and porosity-permeability correlations were further applied to characterise the heterogeneity of porosity (2.742%-53.30%) and permeability (4.925 x 10-14-2.829 x 10-11 m2) of intact spinach. The study aims to provide technical and theoretical support for multiscale modelling in the quality control of leafy vegetables.

SpinachX-ray computed tomographyAdhesion segmentation3D reconstructionSeepage simulationTRANSPORT PHENOMENAMODELAPPLEQUALITYTISSUESCALEWATER

Gao, Hui、Zhu, Zhiwei、Sun, Da-Wen

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South China University of Technology School of Food Science and Engineering||South China Univ Technol||Guangzhou Higher Educ Mega Ctr||Guangzhou Higher Educ Mega Ctr

South China University of Technology School of Food Science and Engineering||South China Univ Technol||Guangzhou Higher Educ Mega Ctr||Guangzhou Higher Educ Mega Ctr||University College Dublin Food Refrigeration and Computerised Food Technology

2025

Journal of food engineering

Journal of food engineering

SCI
ISSN:0260-8774
年,卷(期):2025.401(Dec.)
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