Theoretical Analysis of MIR-Based Differential Photoacoustic Spectroscopy for Noninvasive Glucose Sensing

Diabetes is a developing global health concern that cannot be cured, necessitating frequent blood glucose monitoring and dietary management. Photoacoustic Spectroscopy (PAS) in the mid-infrared (MIR) region has recently emerged as a viable noninvasive blood glucose monitoring technique. However, MIR-PAS confronts significant challenges: (i) Water absorption, which reduces light penetration, and (ii) interference from other blood components. This paper systematically analyzes the background of photoacoustic signal generation and proposes a differential PAS (DPAS) in the MIR region for removing the background signals arising from water and other interfering components of blood, which improves the overall detection sensitivity. A detailed mathematical model with an explanation for choosing two suitable MIR quantum cascade lasers for this differential scheme is presented here. For single-wavelength PAS (SPAS), a detection sensitivity of 1.537 µPa mg−1 dL was obtained from the proposed model. Alternatively, 2.333 µPa mg−1 dL detection sensitivity was found by implementing the DPAS scheme, which is about 1.5 times higher than SPAS. Moreover, DPAS facilitates an additional parameter, a differential phase shift between two laser responses, that has an effective correlation with the glucose concentration variation. Thus, MIR-based DPAS could be an effective way of monitoring blood glucose levels noninvasively in the near future.

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Publication Details

Journal
Chemosensors
Published
2026-01-16
DOI
https://doi.org/10.3390/chemosensors14010026
Citations
1
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
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article

Theoretical Analysis of MIR-Based Differential Photoacoustic Spectroscopy for Noninvasive Glucose Sensing

Tasnim Ahmed, Md Rejvi Kaysir, Shazzad Rassel, Khan Raqib Mahmud et al.
1 citations
Chemosensors
Spectroscopy Techniques in Biomedical and Chemical Research
article

Theoretical Analysis of MIR-Based Differential Photoacoustic Spectroscopy for Noninvasive Glucose Sensing

Tasnim Ahmed, Md Rejvi Kaysir, Shazzad Rassel, Khan Raqib Mahmud, Dayan Ban
article en
1 citations

Abstract

Diabetes is a developing global health concern that cannot be cured, necessitating frequent blood glucose monitoring and dietary management. Photoacoustic Spectroscopy (PAS) in the mid-infrared (MIR) region has recently emerged as a viable noninvasive blood glucose monitoring technique. However, MIR-PAS confronts significant challenges: (i) Water absorption, which reduces light penetration, and (ii) interference from other blood components. This paper systematically analyzes the background of photoacoustic signal generation and proposes a differential PAS (DPAS) in the MIR region for removing the background signals arising from water and other interfering components of blood, which improves the overall detection sensitivity. A detailed mathematical model with an explanation for choosing two suitable MIR quantum cascade lasers for this differential scheme is presented here. For single-wavelength PAS (SPAS), a detection sensitivity of 1.537 µPa mg−1 dL was obtained from the proposed model. Alternatively, 2.333 µPa mg−1 dL detection sensitivity was found by implementing the DPAS scheme, which is about 1.5 times higher than SPAS. Moreover, DPAS facilitates an additional parameter, a differential phase shift between two laser responses, that has an effective correlation with the glucose concentration variation. Thus, MIR-based DPAS could be an effective way of monitoring blood glucose levels noninvasively in the near future.

ChemosensorsVol. 14(1)
Khulna University of Engineering and Technology (BD), University of Waterloo (CA), Tennessee State University (US)
Openalex Percentile: Top 87%
Spectroscopy Techniques in Biomedical and Chemical Research
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Theoretical Analysis of MIR-Based Differential Photoacoustic Spectroscopy for Noninvasive Glucose Sensing — Tasnim Ahmed, Md Rejvi Kaysir, et al. · Chemosensors (2026) | TGRS Research Map | TGRS