Porous Cellulose Substrate Study to Improve the Performance of Diffusion-Based Ionic Strength Sensors
Hamid Khosravi1, Pouya Mehrdel1, Joan Antoni López Martínez2
1Mechanical Engineering Department-MicroTech Lab., Universitat Politècnica de Catalunya (UPC), C/Colom 7-11, 08222 Terrassa, Barcelona, Spain.
Microfluidic paper-based analytical devices (µPADs) offer rapid, low-cost assays. This study found that cellulose substrates with larger pores and lower basis weights improve sensor sensitivity and speed for agri-food applications.
Area of Science:
- Analytical Chemistry
- Materials Science
- Biotechnology
Background:
- Microfluidic paper-based analytical devices (µPADs) are crucial for low-cost, quantitative in-situ assays.
- Challenges remain in understanding cellulose-based membrane flow for accurate and rapid µPAD responses.
- Previous research often used commercial filter papers, facing limitations in test duration.
Purpose of the Study:
- To investigate the impact of diverse cellulose substrates on diffusion-based sensor performance.
- To correlate structural characteristics of cellulose fibers with sensor sensitivity and response time.
- To develop a rapid and sensitive µPAD for quantitative analysis in agri-food contexts.
Main Methods:
- Diffusion-based sensors were fabricated using laser cutting on various cellulose substrates (Whatman and lab-made Sisal papers).
- Structural properties including basis weight, density, pore size, fiber diameter, and length were analyzed.
- Sensor performance was evaluated based on sensitivity and response time.
Main Results:
- Cellulose substrates with larger pore sizes and lower basis weights demonstrated enhanced sensitivity and faster response times.
- The developed sensor successfully quantified ionic concentration in commercial wines with a limit of detection of 13.6 mM.
- The assay achieved a rapid response time of just 30 seconds.
Conclusions:
- Optimizing cellulose substrate characteristics is key to improving µPAD performance.
- The developed µPAD offers a promising tool for rapid, quantitative, and equipment-free assays in agri-food applications.
- This technology can empower non-experts in field-based quantitative analysis.
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