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How to Manage the Humidity of Biological Samples to Reduce Interference on Chemical Sensors
Ana Maria Tischer1, Beatrice Julia Lotesoriere1, Laura Capelli1
1Department of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico di Milano, Milan, Italy.
Critical Reviews in Analytical Chemistry
|March 24, 2026
Summary
High humidity in biological gas samples interferes with chemical sensors used for clinical diagnosis. This review guides researchers on managing humidity using five sampling strategies for improved diagnostic accuracy.
Area of Science:
- Analytical Chemistry
- Sensor Technology
- Clinical Diagnostics
Background:
- High humidity in biological gas samples (e.g., exhaled breath) interferes with chemical sensors.
- This interference reduces sensitivity and stability, hindering clinical validation of sensor systems.
- Managing humidity is critical for accurate clinical diagnosis using chemical sensors.
Purpose of the Study:
- To provide a practical guide for managing humidity in biological gas samples for chemical sensor analysis.
- To analyze humidity interference mechanisms and discuss mitigation strategies.
- To critically review sampling techniques for their application in chemical sensor analysis for clinical diagnosis.
Main Methods:
- Analysis of humidity interference mechanisms in chemical sensors.
- Review of established dehumidification strategies from analytical techniques.
- Critical evaluation of five sampling strategies: condensation, permeation, desiccants, dry dilution, and water traps.
- Discussion of operating principles, applications, advantages, limitations, and contamination risks for each method.
Main Results:
- Humidity interference significantly impacts the performance of chemical sensors for biological gas analysis.
- Five distinct sampling strategies (condensation, permeation, desiccants, dry dilution, water trap) were reviewed for humidity management.
- Each strategy presents trade-offs between residual humidity and analyte recovery, necessitating careful selection based on the specific application.
Conclusions:
- Effective humidity management is essential for the reliable clinical application of chemical sensors.
- Implementing appropriate sampling strategies can transform humidity from a confounder into a controlled variable.
- Thoughtful application of these strategies enables safer and more accurate measurements for clinical diagnosis.
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