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Scopus CiteScore 2024

4.8

Calculated on 05 May, 2025

SJR 2024

0.31

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Journal of Multidisciplinary Applied Natural Science

ISSN (eletronic): 2774-3047

Vol. 5 Issue 2 (2025) Articles https://doi.org/10.47352/jmans.2774-3047.260

https://doi.org/10.47352/jmans.2774-3047.260

Application of Photoacoustic Spectroscopy for Glucose Level Measurement: A Literature Review

Buky Wahyu Pratama Rini Widyaningrum Andreas Setiawan Mitrayana Mitrayana

Author information

Buky Wahyu Pratama

https://orcid.org/0000-0002-4962-5226

Author information

Rini Widyaningrum

https://orcid.org/0000-0002-5014-9554
  • rinihapsara@ugm.ac.id
  • Department of Dentomaxillofacial Radiology, Universitas Gadjah Mada, Yogyakarta-55281 (Indonesia)
  • Biography not informed.

Author information

Andreas Setiawan

https://orcid.org/0000-0001-9369-3421
  • andreas.setiawan@uksw.edu
  • Department of Physics, Universitas Kristen Satya Wacana (UKSW), Salatiga-50711 (Indonesia)
  • Biography not informed.

Author information

Mitrayana Mitrayana

https://orcid.org/0000-0002-2684-7950
  • mitrayana@ugm.ac.id
  • Department of Physics, Universitas Gadjah Mada, Yogyakarta-55281 (Indonesia)
  • Biography not informed.
Published in: May 24, 2025
[1]
B. W. Pratama, R. Widyaningrum, A. Setiawan, and M. Mitrayana, “Application of Photoacoustic Spectroscopy for Glucose Level Measurement: A Literature Review”, J. Multidiscip. Appl. Nat. Sci., vol. 5, no. 2, pp. 509–522, May 2025.

Abstract

This study addresses the critical need for effective glucose level measurement in managing diabetes mellitus (DM). DM is a serious, economically influential disease that has no cure at present, highlighting the magnitude of prevention, control, and monitoring of blood glucose levels. This study systematically examined 79 articles from Google Scholar and PubMed databases, focusing on non-invasive glucose measurement using the photoacoustic system. After eliminating duplicates, 27 articles were reviewed. Glucose solution was predominantly used as the primary sample. Fixed and tunable lasers, especially near-infrared (NIR) lasers, were highlighted due to their superior penetration and accuracy in glucose measurements. Signal-purification techniques were used to guarantee accurate detection by removing noise. The evaluation involved regression analysis and machine learning integration to determine glucose levels statistically. The choice of sampling sites in volunteers was a critical factor affecting measurement accuracy. The study demonstrated meaningful progress in the development of photoacoustic methods, particularly in monitoring DM.

References

  • [1] N. Wadamori. (2015). "Behavior of long-period measurements using a small-sized photoacoustic cell for aqueous glucose monitoring". Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2015 : 1267-70. 10.1109/EMBC.2015.7318598.

    DOI: https://doi.org/10.1109/EMBC.2015.7318598

  • [2] S. Zhao, W. Tao, Q. He, and H. Zhao. (2017). "A new approach to non-invasive blood glucose measurement based on 2 dimension photoacoustic spectrum". presented at the 2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS). 10.1109/EIIS.2017.8298673.

    DOI: https://doi.org/10.1109/EIIS.2017.8298673

  • [3] P. P. Pai, S. Bhattacharya, and S. Banerjee. (2015). "Regularized least squares regression for calibration of a photoacoustic spectroscopy based non-invasive glucose monitoring system". presented at the 2015 IEEE International Ultrasonics Symposium (IUS). 10.1109/ULTSYM.2015.0396.

    DOI: https://doi.org/10.1109/ULTSYM.2015.0396

  • [4] Z. Ren, G. Liu, Z. Huang, D. Zhao, and Z. Xiong. (2015). "Exploration and Practice in Photoacoustic Measurement for Glucose Concentration Based on Tunable Pulsed Laser Induced Ultrasound". International Journal of Optomechatronics. 9 (3): 221-237. 10.1080/15599612.2015.1051677.

    DOI: https://doi.org/10.1080/15599612.2015.1051677

  • [5] Y. Dong, C. Lu, J. Wu, Z. Li, Z. Ren, G. Liu, and Z. Huang. (2015). "Determination of glucose concentration based on pulsed laser induced photoacoustic technique and least square fitting algorithm". presented at the 2015 International Conference on Optical Instruments and Technology: Optoelectronic Devices and Optical Signal Processing. 10.1117/12.2190601.

    DOI: https://doi.org/10.1117/12.2190601

  • [6] J. Shao, T. Jitsuno, W. Rudolph, M. Zhu, Z. Ren, G. Liu, Z. Xiong, and Z. Huang. (2015). "Experiments of glucose solution measurement based on the tunable pulsed laser induced photoacoustic spectroscopy method". presented at the Pacific Rim Laser Damage 2015: Optical Materials for High-Power Lasers. 10.1117/12.2185787.

    DOI: https://doi.org/10.1117/12.2185787

  • [7] Y. Tanaka, T. Tajima, M. Seyama, and K. Waki. (2018). "In-Vivo Study on Resonant Photoacoustic Spectroscopy Using Dual CW Light Wavelengths for Non-Invasive Blood Glucose Monitoring". presented at the 2018 IEEE Sensors.

    DOI: https://doi.org/10.1109/ICSENS.2018.8589759

  • [8] P. P. Pai, P. K. Sanki, A. De, and S. Banerjee. (2015). "NIR photoacoustic spectroscopy for non-invasive glucose measurement". presented at the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

  • [9] F. Shaikh, N. Haworth, R. Wells, J. Bishop, S. K. Chatterjee, S. Banerjee, and S. Laha. (2022). "Compact Instrumentation for Accurate Detection and Measurement of Glucose Concentration Using Photoacoustic Spectroscopy". IEEE Access. 10 : 31885-31895. 10.1109/access.2022.3158945.

    DOI: https://doi.org/10.1109/ACCESS.2022.3158945

  • [10] R. Zhang, K. Tang, C. Yang, H. Jin, S. Liu, and Y. Zheng. (2019). "Portable Photoacoustic Sensor for Noninvasive Glucose Monitoring". presented at the 2019 IEEE International Symposium on Circuits and Systems (ISCAS).

    DOI: https://doi.org/10.1109/ISCAS.2019.8702322

  • [11] T. Jahana and H. Higa. (2020). "Non-Invasive Blood Glucose Monitoring Device Using Photoacoustic Spectroscopy," presented at the 2020 5th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS). 10.1109/ICIIBMS50712.2020.9336413.

    DOI: https://doi.org/10.1109/ICIIBMS50712.2020.9336413

  • [12] L. Yang, Z. Zhang, X. Wei, and Y. Yang. (2023). "Glucose diagnosis system combining machine learning and NIR photoacoustic multispectral using a low power CW laser". Biomedical Optics Express. 14 (4): 1685-1702. 10.1364/BOE.485296.

    DOI: https://doi.org/10.1364/BOE.485296

  • [13] J. Zhu, H.-Y. Tam, K. Xu, H. Xiao, S. Han, Z. Huang, G. Liu, Z. Ren, and L. Zeng. (2015). "Glucose concentration measurement using photoacoustic technique," presented at the 2015 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems. 10.1117/12.2185819.

    DOI: https://doi.org/10.1117/12.2185819

  • [14] B. Lu, Z. Ren, H. Wang, G. Liu, and Z. Xiong. (2016). "Photoacoustic signals denosing of the glucose aqueous solutions using an improved wavelet threshold method," presented at the Advanced Laser Manufacturing Technology. 10.1117/12.2244281.

    DOI: https://doi.org/10.1117/12.2244281

  • [15] K. Tachibana, K. Okada, R. Kobayashi, and Y. Ishihara. (2016). "Development of a high-sensitivity and portable cell using Helmholtz resonance for noninvasive blood glucose-level measurement based on photoacoustic spectroscopy". Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2016 : 6477-6480. 10.1109/EMBC.2016.7592212.

    DOI: https://doi.org/10.1109/EMBC.2016.7592212

  • [16] Y. Tanaka, C. Purtill, T. Tajima, M. Seyama, and H. Koizumi. (2016). "Sensitivity improvement on CW dual-wavelength photoacoustic spectroscopy using acoustic resonant mode for noninvasive glucose monitor". presented at the 2016 IEEE Sensors.

    DOI: https://doi.org/10.1109/ICSENS.2016.7808685

  • [17] A. A. Oraevsky, L. V. Wang, T. Namita, M. Sato, K. Kondo, M. Yamakawa, and T. Shiina. (2017). "Evaluation of blood glucose concentration measurement using photoacoustic spectroscopy in near-infrared region," presented at the Photons Plus Ultrasound: Imaging and Sensing 2017. 10.1117/12.2252532.

    DOI: https://doi.org/10.1117/12.2252532

  • [18] S. Zhao, W. Tao, Q. He, H. Zhao, and H. Yang. (2017). "Glucose solution determination based on liquid photoacoustic resonance". Applied Optics. 56 (2): 193-199. 10.1364/AO.56.000193.

    DOI: https://doi.org/10.1364/AO.56.000193

  • [19] S. Zhao, W. Tao, Q. He, H. Zhao, and W. Cao. (2017). "A non-invasive photoacoustic and ultrasonic method for the measurement of glucose solution concentration". AIP Advances. 7 (3).  10.1063/1.4979110.

    DOI: https://doi.org/10.1063/1.4979110

  • [20] R. Zhang, F. Gao, X. Feng, S. Liu, R. Kishor, Y. Luo, and Y. Zheng. (2017). "Noninvasive photoacoustic measurement of glucose by data fusion". Analyst. 142 (16): 2892-2896. 10.1039/c7an00743d.

    DOI: https://doi.org/10.1039/C7AN00743D

  • [21] W. Tao, Z. Lu, Q. He, P. Lv, Q. Wang, and H. Zhao. (2018). "Research on the Temperature Characteristics of the Photoacoustic Sensor of Glucose Solution". Sensors (Basel). 18 (12). 10.3390/s18124323.

    DOI: https://doi.org/10.3390/s18124323

  • [22] R. Zhang, F. Gao, X. Feng, H. Jin, S. Zhang, S. Liu, Y. Luo, B. Xing, and Y. Zheng. (2018). ""Guide Star" Assisted Noninvasive Photoacoustic Measurement of Glucose". ACS Sensors. 3 (12): 2550-2557. 10.1021/acssensors.8b00905.

    DOI: https://doi.org/10.1021/acssensors.8b00905

  • [23] M. K. Dasa, C. Markos, J. Janting, and O. Bang. (2018). "Multispectral photoacoustic sensing for accurate glucose monitoring using a supercontinuum laser". Journal of the Optical Society of America B. 36 (2). 10.1364/josab.36.000a61.

    DOI: https://doi.org/10.1364/JOSAB.36.000A61

  • [24] Y. Tanaka, T. Tajima, M. Seyama, and K. Waki. (2020). "Differential Continuous Wave Photoacoustic Spectroscopy for Non-Invasive Glucose Monitoring". IEEE Sensors Journal. 20 (8): 4453-4458. 10.1109/jsen.2019.2962251.

    DOI: https://doi.org/10.1109/JSEN.2019.2962251

  • [25] Y. J. Zhang, S. Chen, Y. L. Yu, and J. H. Wang. (2020). "A miniaturized photoacoustic device with laptop readout for point-of-care testing of blood glucose". Talanta. 209 : 120527. 10.1016/j.talanta.2019.120527.

    DOI: https://doi.org/10.1016/j.talanta.2019.120527

  • [26] R. Zhang, Y. Luo, H. Jin, F. Gao, and Y. Zheng. (2021). "Time-domain photoacoustic waveform analysis for glucose measurement". Analyst. 145 (24): 7964-7972. 10.1039/d0an01678k.

    DOI: https://doi.org/10.1039/D0AN01678K

  • [27] L. Yang, C. Chen, Z. Zhang, and X. Wei. (2022). "Glucose Determination by a Single 1535 nm Pulsed Photoacoustic Technique: A Multiple Calibration for the External Factors". Journal of Healthcare Engineering. 2022 : 9593843. 10.1155/2022/9593843.

    DOI: https://doi.org/10.1155/2022/9593843

  • [28] A. Aloraynan, S. Rassel, C. Xu, and D. Ban. (2022). "A Single Wavelength Mid-Infrared Photoacoustic Spectroscopy for Noninvasive Glucose Detection Using Machine Learning". Biosensors (Basel). 12 (3). 10.3390/bios12030166.

    DOI: https://doi.org/10.3390/bios12030166

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