Compact near-infrared photoacoustic spectroscopy glucose detection system based on a triangular prism-shaped photoacoustic cell

Diabetes mellitus, characterized by impaired glucose regulation, poses a major global health burden. Consequently, the development of non-invasive blood glucose monitoring systems is of high clinical importance. Photoacoustic spectroscopy has gained attention as a promising technique due to its high sensitivity and favorable signal-to-noise ratio (SNR). The photoacoustic cell (PAC), as the core component, amplifies weak signals and reduces noise. Currently, most resonant designs are bulky with long cavities, which limit system integration and increase optical attenuation, thereby degrading the SNR. In this study, a small triangular prism-shaped PAC (tPAC) was developed with a volume of only 74.29<i>m</i><i>m</i><sup>3</sup> and a resonance frequency of 29.43 kHz. Based on this cell, a low-cost, compact near-infrared photoacoustic spectroscopy system was built for detecting glucose solutions across normal and hyperglycemic ranges. The system achieved a detection limit of 28.63 mg/dL and a strong correlation (96.58%) between photoacoustic signal amplitude and glucose concentration. Partial least-squares regression and multiple linear regression have been utilized to establish concentration prediction models, achieving accuracies of 87.13% and 92.1%, respectively. All predicted values were located in zones A and B of Clarke's error grid analysis. These results indicate that the proposed tPAC is capable of effectively detecting photoacoustic signals.

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Publication Details

Journal
Applied Optics
Published
2025-09-23
DOI
https://doi.org/10.1364/ao.569051
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
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article

Compact near-infrared photoacoustic spectroscopy glucose detection system based on a triangular prism-shaped photoacoustic cell

GonYen Shen, Wei Qiu, Zelong Lu, Yuansheng Wang et al.
Applied Optics
Spectroscopy Techniques in Biomedical and Chemical Research
article

Compact near-infrared photoacoustic spectroscopy glucose detection system based on a triangular prism-shaped photoacoustic cell

GonYen Shen, Wei Qiu, Zelong Lu, Yuansheng Wang, Guo Xiao-wei
article en

Abstract

Diabetes mellitus, characterized by impaired glucose regulation, poses a major global health burden. Consequently, the development of non-invasive blood glucose monitoring systems is of high clinical importance. Photoacoustic spectroscopy has gained attention as a promising technique due to its high sensitivity and favorable signal-to-noise ratio (SNR). The photoacoustic cell (PAC), as the core component, amplifies weak signals and reduces noise. Currently, most resonant designs are bulky with long cavities, which limit system integration and increase optical attenuation, thereby degrading the SNR. In this study, a small triangular prism-shaped PAC (tPAC) was developed with a volume of only 74.29<i>m</i><i>m</i><sup>3</sup> and a resonance frequency of 29.43 kHz. Based on this cell, a low-cost, compact near-infrared photoacoustic spectroscopy system was built for detecting glucose solutions across normal and hyperglycemic ranges. The system achieved a detection limit of 28.63 mg/dL and a strong correlation (96.58%) between photoacoustic signal amplitude and glucose concentration. Partial least-squares regression and multiple linear regression have been utilized to establish concentration prediction models, achieving accuracies of 87.13% and 92.1%, respectively. All predicted values were located in zones A and B of Clarke's error grid analysis. These results indicate that the proposed tPAC is capable of effectively detecting photoacoustic signals.

Applied OpticsVol. 64(29)
Huzhou Central Hospital (CN)
Openalex Percentile: Top 81%
Spectroscopy Techniques in Biomedical and Chemical Research
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Compact near-infrared photoacoustic spectroscopy glucose detection system based on a triangular prism-shaped photoacoustic cell — GonYen Shen, Wei Qiu, et al. · Applied Optics (2025) | TGRS Research Map | TGRS