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Time-domain photoacoustic waveform analysis for glucose measurement
Ruochong Zhang1, Yunqi Luo, Haoran Jin
1School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore. hrjin@ntu.edu.sg.
The Analyst
|October 9, 2020
Summary
We introduce time-domain photoacoustic waveform spectroscopy (tPAWS) for chemical analysis. This new method uses the full photoacoustic waveform for enhanced glucose measurement sensitivity and accuracy.
Area of Science:
- Biomedical Optics
- Spectroscopy
- Chemical Sensing
Background:
- Photoacoustic (PA) effect arises from light-ultrasound interactions, with waveforms containing rich sample information beyond optical absorption.
- Conventional PA spectroscopy primarily uses optical absorption, neglecting inherent mechanical and thermal properties within the PA waveform.
- These underutilized properties correlate with target composition but are not exploited in current methods.
Purpose of the Study:
- To propose and demonstrate time-domain photoacoustic waveform spectroscopy (tPAWS) for chemical component quantification.
- To leverage multiple inherent variables within the PA waveform for enhanced feature extraction.
- To improve sensitivity and accuracy in chemical measurements compared to existing techniques.
Main Methods:
- Developed time-domain photoacoustic waveform spectroscopy (tPAWS) for chemical analysis.
- Utilized multiple inherent variables from the PA waveform excited by a single laser wavelength.
- Applied tPAWS for glucose measurement in human blood serum (HBS).
Main Results:
- tPAWS demonstrated superior sensitivity and accuracy for glucose measurement in HBS.
- Achieved significant enhancements compared to conventional amplitude-based PA measurement.
- Outperformed near-infrared (NIR) spectroscopy in sensitivity and accuracy.
Conclusions:
- tPAWS offers a novel, physics-inspired sensing method for chemical analysis.
- The technique avoids the need for multiple wavelengths and complex instrumentation.
- tPAWS shows potential to complement or surpass current spectroscopic methods for chemical quantification.

