Izvestiya of Saratov University.

Physics

ISSN 1817-3020 (Print)
ISSN 2542-193X (Online)

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Kravchuk D. A. Experimental measurements of glucose concentration in blood with a prototype of optoacustic cytometer, assessment of measurement error. Izvestiya of Saratov University. Physics , 2025, vol. 25, iss. 1, pp. 86-92. DOI: 10.18500/1817-3020-2025-25-1-86-92, EDN: NGVPSU

This is an open access article distributed under the terms of Creative Commons Attribution 4.0 International License (CC-BY 4.0).
Published online: 
31.03.2025
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Language: 
Russian
Heading: 
Biophysics and medical physics
Article type: 
Article
UDC: 
535.015+57.087.1+004.418
DOI: 
10.18500/1817-3020-2025-25-1-86-92
EDN: 
NGVPSU

Experimental measurements of glucose concentration in blood with a prototype of optoacustic cytometer, assessment of measurement error

Autors: 
Kravchuk Denis Aleksandrovich, Southern Federal University
Abstract: 

Background and Objectives: Preclinical experimental measurements of blood glucose levels using the optoacoustic method were carried out. The purpose of the work is to record blood glucose levels using the optoacoustic method and obtain a graduated curve. It is necessary to establish the factors influencing the error in measuring blood glucose concentrations. Modern problems arising in the field of optoacoustic studies of blood composition are considered. Materials and Methods: A block diagram of the experimental setup has been developed and a prototype of the device has been created. Methods for collecting and storing blood are described. The process of experimental measurements is given. Experimental studies have been conducted on different age groups of patients with the addition of heparin to stop the clotting process. Results: The obtained profiles of acoustic signals have made it possible to plot the dependence of the amplitude of the acoustic signal in a blood sample on the concentration of glucose in the blood, and the measurement error has been assessed taking into account temperature and concentration factors that influence the result of measuring glucose levels. Conclusion: The prospects for using and comparing the obtained data for in vivo device development have been discussed. The diagnostic accuracy of the optoacoustic method is reduced due to biological variability and heterogeneous tissue composition.

Key words: 
optoacoustic effect
acoustic signal
measurement error
glucose
laser
Reference: 
  1. Oraevsky A. A., Karabutov A. A. Optoacoustic tomography. In: Vo-Dinh T., ed. Biomedical photonics: Handbook. Boca Raton, FL, CRC Press, 2003. 1872 p. Chapter 34, pp. 1–34. https://doi.org/10.1201/9780203008997
  2. Egerev S. V., Simanovsky Ya. O. Optoacoustics of inhomogeneous biomedical media: Competition of mechanisms and application prospects (review). Acoustical Physics, 2022, vol. 68, no. 1, pp. 96–116 (in Russian). https://doi.org/10.31857/S0320791922010026
  3. Moldon P. A., Moldon P. A., Ermolinskiy P. B., Lugovtsov A. E., Timoshina P. A., Lazareva E. N., Surkov Yu I., Gurfinkel Y. I., Tuchin V. V., Priezzhev A. V. Influence of optical clearing agents on the scattering properties of human nail bed and blood microrheological properties: In vivo and in vitro study. J. Biophotonics, 2024, art. e202300524. https://doi.org/10.1002/JBIO.202300524
  4. Bi R., Dinish U. S., Goh Ch. Ch., Imai T., Moothanchery M., Li X., Kim J. Y., Jeon S., Pu Y., Kim Ch., Ng L. G., Wang L. V., Olivo M. In vivo label-free functional photoacoustic monitoring of ischemic reperfusion. J. Biophotonics, 2019, vol. 12, no. 7, art. e201800454. https://doi.org/10.1002/jbio.201800454
  5. Girshick R., Donahue J., Darrell T., Malik J. Rich feature hierarchies for accurate object detection and semantic segmentation. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2014, pp. 580–587. https://doi.org/10.1109/CVPR.2014.81
  6. Kravchuk D. A. Restoration of acoustic signal during optoacustic interaction for visualization of biological tissue. Proceedings of the Southwest State University Series: Control, Computer Engineering, Information Science. Medical Instruments Engineering, 2019, vol. 9, no. 1, pp. 67–75 (in Russian).
  7. Wang G. A perspective on deep imaging. IEEE Access., 2016, vol. 4, pp. 8914–8924. https://doi.org/10.1109/ACCESS.2016.2624938
  8. Assi H., Cao R., Castelino M., Cox B., Gilbert F. J., Gröhl J., Gurusamy K., Hacker L., Ivory A. M., Joseph J., Knieling F., Leahy M. J., Lilaj L., Manohar S., Meglinski I., Moran C., Murray A., Oraevsky A. A., Pagel M. D., Pramanik M., Raymond J., Mithun K. A. S., Vogt W. C., Wang L., Yang S., Members of IPASC, Bohndiek S. E. A review of a strategic roadmapping exercise to advance clinical translation of photoacoustic imaging: From current barriers to future adoption. Photoacoustics, 2023, vol. 32, art. 100539. https://doi.org/10.1016/j.pacs.2023.100539
  9. Cai C., Nedosekin D. A., Menyaev Y. A., Sarimollaoglu M., Proskurnin M. A., Zharov V. P. Photoacoustic flow cytometry for single sickle cell detection in vitro and in vivo. Analytical Cellular Pathology, 2016, vol. 2016, iss. 1, art. 2642361. https://doi.org/10.1155/2016/2642361
  10. Menyaev Y. A., Nedosekin D. A., Sarimollaoglu M., Juratli M. A., Galanzha E. I., Tuchin V. V., Zharov V. P. Optical clearing in photoacoustic flow cytometry. Biomed. Opt. Express., 2013, vol. 4, no. 1, pp. 3030–3041. https://doi.org/10.1364/BOE.4.003030
  11. Pearl W. G., Selvam R., Karmenyan A. V., Perevedentseva E. V., Hung S., Chang H. H., Shushunova N. A., Prikhozhdenko E. S., Bratashov D. N., Tuchin V. V., Cheng C. L. Berberine mediated fluorescent gold nanoclusters in biomimetic erythrocyte ghosts as a nanocarrier for enhanced photodynamic treatment. RSC Adv., 2024, vol. 14, no. 5, pp. 3321–3334. https://doi.org/10.1039/d3ra08299g
  12. Gusev V. E., Karabutov A. A. Lazernaya optoakustika [Laser optoacoustics]. Moscow, Nauka, 1991. 304 p. (in Russian).
  13. Dunina T. A., Egerev S. V., Lyamshev L. M., Naugolnykh K. A. On the nonlinear theory of the thermal mechanism of sound generation by laser radiation. Acoustical Physics, 1979, vol. 25, pp. 622–625 (in Russian).
  14. Savateeva E. V., Karabutov A. A., Solomatin S. V. Optical properties of blood at various levels of oxygenation studied by time-resolved detection of laser-induced pressure profiles. Proc. SPIE. Biomedical Optoacoustics III, 2002, vol. 4618, pp. 63–75. https://doi.org/10.1117/12.469849
  15. Yang L., Chen C., Zhang Z., Wei X. Glucose Determination by a Single 1535 nm Pulsed Photoacoustic Technique: A Multiple Calibration for the External Factors. J. Healthc. Eng., 2022, vol. 1, art. 9593843. https://https://doi.org/10.1155/2022/9593843
  16. Ren Z., Liu G., Huang Z., Zhao D., Xiong Z. Exploration and Practice in Photoacoustic Measurement for Glucose Concentration Based on Tunable Pulsed Laser Induced Ultrasound. Int. J. Optomechatronics, 2015, vol. 9, no. 3, pp. 221–237. https://doi.org/10.1080/15599612.2015.1051677
  17. Yadav J. R., Asha S., Vijander M., Bhaskar M. Prospects and limitations of non-invasive blood glucose monitoring using near-infrared spectroscopy. Biomed. Signal Process. Control., 2015, vol. 18, pp. 214–227. https://doi.org/10.1016/j.bspc.2015.01.005
  18. Quan K. M., Christison G. B., MacKenzie H. A., Hodgson P. Glucose determination by a pulsed photoacoustic technique: An experimental study using a gelatin-based tissue phantom. Phys. Med. Biol., 1993, vol. 38, no. 1, pp. 1911–1922. https://doi.org/10.1088/0031-9155/38/12/014
  19. Jin H., Zheng Z., Liu S., Zhang R., Liao X., Liu S., Zheng Y. Pre-migration: A General Extension for Photoacoustic Imaging Reconstruction. IEEE Trans. Comput. Imaging, 2020, vol. 6, pp. 1097–1105. https://doi.org/10.1109/TCI.2020.3005479
  20. Prasad V. P. N. S. B. S., Syed A. H., Himansh M., Jana B., Mandal P., Sanki P. K. Augmenting authenticity for non-invasive in vivo detection of random blood glucose with photoacoustic spectroscopy using Kernelbased ridge regression. Scientific Reports, 2024, vol. 14, no. 1, art. 8352. https://doi.org/10.1038/s41598-024-53691-z
  21. Kravchuk D. A. Results of experimental studies of optoacoustic response in biological tissues and their models. Applied Physics, 2022, vol. 3, no. 3, pp. 63–66 (in Russian). https://doi.org/10.51368/1996-0948-2022-3-63-66
  22. Kravchuk D. A., Voronina K. A. Studies of Red Blood Cell Aggregation and Blood Oxygenation on the Basis of the Optoacoustic Effect in Biological Media. J. Biomed. Photonics Eng., 2020, vol. 6, no. 1, pp. 010307-1–010307-5. https://dx.doi.org/10.18287/JBPE20.06.010307
  23. Kravchuk D. A. Application of the optoacoustic effect to measure glucose concentration. Applied Physics, 2021, vol. 6, no. 3, pp. 63–66 (in Russian). https://doi.org/10.51368/1996-0948-2021-6-63-66
  24. Kravchuk D. A., Starchenko I. B. Reconstruction of the Optical Acoustic Signal for Visualization of Biological Tissues. In: Parinov I. A., Chang S. H., eds. Physics and Mechamics of New Materials and Their Aplication. Processing of the International Conference PHENMA. 2021. Springer Proceedings in Materials. Cham, Springer, 2021, vol. 10, pp. 473–479. https://doi.org/10.1007/978-3-030-76481-4_39
Received: 
23.04.2024
Accepted: 
02.09.2024
Published: 
31.03.2025
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