Cellulose microfluidic pH boosting on copper oxide non-enzymatic glucose sensor strip for neutral pH samples
G Martinez-Saucedo1, F M Cuevas-Muñiz2, R Sanchez-Fraga1
1Centro de Ingeniería y Desarrollo Industrial, Avenida Playa Pie de la Cuesta #702, Santiago de Querétaro, 76125, Querétaro, Mexico.
Talanta
|September 17, 2022
Summary
A novel cellulose microfluidic layer boosts pH, enabling non-enzymatic copper oxide glucose sensors to accurately measure glucose in neutral pH samples, including human blood.
Area of Science:
- Electrochemistry
- Materials Science
- Biomedical Engineering
Background:
- Non-enzymatic glucose sensors offer advantages over enzymatic counterparts but are often limited by optimal pH requirements.
- Accurate glucose monitoring is crucial for diabetes management, necessitating reliable and accessible sensing technologies.
Purpose of the Study:
- To adapt a non-enzymatic copper oxide glucose sensor for operation at neutral pH using a microfluidic pH boosting layer.
- To enable in-situ glucose measurements in samples with neutral pH, including human blood.
Main Methods:
- Fabrication of a cellulose-based microfluidic layer containing sodium hydroxide (NaOH) crystals.
- Integration of the microfluidic layer with a three-electrode system (copper oxide working electrode, silver reference, carbon counter).
- Testing the system's performance in electrochemical cells and sensing strips with varying glucose concentrations.
Main Results:
- The microfluidic layer successfully dissolved NaOH crystals, increasing the sample pH and enabling non-enzymatic glucose detection.
- The adapted sensor demonstrated a sensitivity of 70 μA/mM cm² for glucose measurement in neutral pH samples.
- The system effectively distinguished between hypoglycemia and hyperglycemia levels in human blood samples.
Conclusions:
- A cellulose microfluidic pH boosting layer effectively adapts non-enzymatic copper oxide glucose sensors for neutral pH environments.
- This innovation facilitates in-situ glucose monitoring in diverse biological samples, expanding the applicability of non-enzymatic sensing.
- The developed sensor shows potential for point-of-care diagnostics and continuous glucose monitoring applications.
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