Retrograde condensation in natural porous media: An in situ experimental investigation

2022 ◽  
Vol 34 (1) ◽  
pp. 013102
Author(s):  
Uche Igwe ◽  
Mahdi Khishvand ◽  
Mohammad Piri
Keyword(s):  
Experimental Investigation ◽  
Porous Media ◽  
Retrograde Condensation

Experimental investigation of solute transport in variably saturated porous media using x-ray computed tomography

2021 ◽  
Vol 33 (7) ◽  
pp. 076610
Author(s):  
Chunwei Zhang ◽  
Yun She ◽  
Yingxue Hu ◽  
Zijing Li ◽  
Weicen Wang ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Experimental Investigation ◽  
Porous Media ◽  
Solute Transport ◽  
Saturated Porous Media ◽  
X Ray ◽  
X Ray Computed

scholarly journals Flow Control in Porous Media: From Numerical Analysis to Quantitative μPAD for Ionic Strength Measurements

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3328
Author(s):  
Pouya Mehrdel ◽  
Hamid Khosravi ◽  
Shadi Karimi ◽  
Joan Antoni López Martínez ◽  
Jasmina Casals-Terré
Keyword(s):  
Porous Media ◽  
Limit Of Detection ◽  
Fluid Dynamic ◽  
Porous Membrane ◽  
External Pressure ◽  
Paper Substrate ◽  
Sensor Performance ◽  
Food Applications ◽  
Substrate Nature

Microfluidic paper-based analytical devices (µPADs) are a promising technology to enable accurate and quantitative in situ assays. Paper’s inherent hydrophilicity drives the fluids without the need for external pressure sources. However, controlling the flow in the porous medium has remained a challenge. This study addresses this problem from the nature of the paper substrate and its design. A computational fluid dynamic model has been developed, which couples the characteristics of the porous media (fiber length, fiber diameter and porosity) to the fluidic performance of the diffusion-based µPAD sensor. The numerical results showed that for a given porous membrane, the diffusion, and therefore the sensor performance is affected not only by the substrate nature but also by the inlets’ orientation. Given a porous substrate, the optimum performance is achieved by the lowest inlets’ angle. A diffusion-based self-referencing colorimetric sensor was built and validated according to the design. The device is able to quantify the hydronium concentration in wines by comparison to 0.1–1.0 M tartaric acid solutions with a 41.3 mM limit of detection. This research showed that by proper adjustments even the simplest µPADs can be used in quantitative assays for agri-food applications.

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