Smartphone-based sensing system using ZnO and graphene modified electrodes for VOCs detection
Lei Liu1, Diming Zhang2, Qian Zhang2
1Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, PR China; Collaborative Innovation Center of TCM Health Management, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, PR China.
Biosensors & Bioelectronics
|October 8, 2016
Summary
A new smartphone system detects volatile organic compounds (VOCs) in breath using AC impedance. This portable technology offers a convenient approach for early disease diagnosis through real-time monitoring.
Area of Science:
- Biomedical Engineering
- Chemical Sensing
- Environmental Monitoring
Background:
- Volatile organic compounds (VOCs) in exhaled breath are crucial biomarkers for diseases like lung cancer and diabetes.
- Accurate and real-time VOC detection is vital for clinical diagnostics, environmental monitoring, and food quality assessment.
- Current methods for VOC analysis can be complex, expensive, and lack portability.
Purpose of the Study:
- To develop a smartphone-based system for real-time monitoring of volatile organic compounds (VOCs) in exhaled breath.
- To utilize alternative current (AC) impedance measurement for sensitive and selective VOC detection.
- To create a portable and efficient platform for healthcare diagnosis and disease biomarker monitoring.
Main Methods:
- A sensor array featuring interdigital electrodes modified with zinc oxide (ZnO), graphene, and nitrocellulose was fabricated.
- Alternative current (AC) impedance spectroscopy was employed to measure sensor responses to VOCs.
- A hand-held device transmitted sensor data via Bluetooth to a smartphone application for real-time analysis and concentration reporting.
Main Results:
- The smartphone-based system successfully detected acetone at concentrations as low as 1.56 ppm.
- AC impedance spectroscopy enabled the differentiation of acetone from other VOCs.
- Measurements of human exhaled breath before and after exercise demonstrated the system's applicability in real-world healthcare settings.
Conclusions:
- The developed smartphone-based system provides a convenient, portable, and efficient method for VOC detection in exhaled breath.
- This technology holds significant potential for the early diagnosis of diseases through non-invasive breath analysis.
- The system facilitates real-time monitoring, contributing to advancements in personalized healthcare and diagnostics.
