DEVELOPMENT OF BIOSENSOR SYSTEMS FOR EARLY DIAGNOSIS OF CHRONIC DISEASES IN UKRAINE

Authors

DOI:

https://doi.org/10.35546/kntu2078-4481.2025.4.1.15

Keywords:

biomarkers, sensor platforms, precision diagnostics, point-of-care technologies, bioanalytical methods, nanostructured materials, clinical validation, telemedicine monitoring, digital integration, functional sensor stability

Abstract

The relevance of this study is driven by the need within the Ukrainian healthcare system for technologies capable of detecting chronic diseases at preclinical stages, when biochemical changes are minimal and traditional laboratory methods show insufficient sensitivity and delayed result acquisition. The purpose of the article is to provide a scientific rationale for the principles of designing and implementing biosensor systems that can enable early detection of chronic diseases in Ukraine and enhance the effectiveness of the diagnostic process across different levels of medical care. The research methods included analytical generalization of current technical solutions in biosensing, analysis of sensitivity and stability parameters of sensor platforms, assessment of the prerequisites for their digital integration into the medical infrastructure, and a structural-functional examination of barriers to their development in Ukrainian conditions. The results demonstrate that the key technical and biomedical parameters determining the sensitivity and accuracy limits of biosensor systems have been identified. The study reveals the conditions that ensure effective integration of these systems into primary care, telemedicine services, and laboratory workflows. It also shows that the development of sensor technologies in Ukraine is constrained by the shortage of high-tech materials, the absence of adapted calibration standards, and the fragmented nature of the innovation infrastructure. Recommendations have been formulated regarding the design of modular sensor platforms, improvement of digital compatibility, implementation of phased clinical testing, and expansion of service support. The conclusions indicate that biosensor systems are a critically important tool for improving the effectiveness of early diagnosis, but their broad application in Ukraine is possible only with technological standardization, digital integration, and the development of a local material and technical base. Future research should focus on developing more stable receptor materials, implementing advanced signal processing algorithms, establishing national validation standards, and creating a comprehensive manufacturing infrastructure for biosensor technologies.

References

Hosain M. N., Kwak Y. S., Lee J., Choi H., Park J., Kim J. IoT-enabled biosensors for real-time monitoring and early detection of chronic diseases. Physical Activity and Nutrition. 2024. Vol. 28, № 4. Article 60. DOI: https://doi.org/10.20463/pan.2024.0033.

Nuriddin A. Diagnostic systems for early detection of diseases. Western European Journal of Modern Experiments and Scientific Methods. 2025. Vol. 3, № 3. P. 10–14. URL: https://westerneuropeanstudies.com/index.php/1/article/view/2158/1482 (дата звернення: 17.11.2025).

Wasilewski T., Kamysz W., Gębicki J. AI-assisted detection of biomarkers by sensors and biosensors for early diagnosis and monitoring. Biosensors. 2024. Vol. 14, № 7. Article 356. DOI: https://doi.org/10.3390/bios14070356.

Korenivska O., Benedytskyi V., Nikitchuk T., Kobylianskyi O. V., Zilgarayeva A., Volosovych O., Wójcik W. Application of optical methods for measuring physiological parameters in the construction of telemedicine systems for the diagnosis of infants and children. Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024. 2024. Vol. 13400. P. 123–130. DOI: https://doi.org/10.1117/12.3058675.

Mruga D., Dzyadevych S., Soldatkin O. Development and optimisation of the biosensor for aspartate aminotransferase blood level determination. Analytical and Bioanalytical Chemistry. 2025. Vol. 417. P. 721–731. DOI: https://doi.org/10.1007/s00216-024-05682-2.

Mykhailivna Doroshenko K., Shefchenko O. I. Graphene-based MXene nanocomposites for highly sensitive and selective detection of diverse analytes. Fullerenes, Nanotubes and Carbon Nanostructures. 2025. P. 1–30. DOI: https://doi.org/10.1080/1536383X.2025.2553699.

Park M., Heo Y. J. Biosensing technologies for chronic diseases. BioChip Journal. 2021. Vol. 15. P. 1–13. DOI: https://doi.org/10.1007/s13206-021-00014-3.

Badillo-Ramírez I., Carreón Y. J., Rodríguez-Almazán C., Medina-Durán C. M., Islas S. R., Saniger J. M. Graphene-based biosensors for molecular chronic inflammatory disease biomarker detection. Biosensors. 2022. Vol. 12, № 4. Article 244. DOI: https://doi.org/10.3390/bios12040244.

Sukumaran R. A., Rahul P. K., Panicker L. R., Lakavath K., Kotagiri Y. G. Biosensors for rapid and early detection of chronic diseases. In: Mahato K., Chandra P. (eds). Biosensors for Personalized Healthcare. Springer, Singapore, 2024. P. 315-337 DOI: https://doi.org/10.1007/978-981-97-5473-1_11.

Capasso D., Pirone L., Di Gaetano S., Russo R., Saviano M., Frisulli V., Scognamiglio V. Galectins detection for the diagnosis of chronic diseases: an emerging biosensor approach. TrAC Trends in Analytical Chemistry. 2023. Vol. 159. Article 116952. DOI: https://doi.org/10.1016/j.trac.2023.116952.

Haleem A., Javaid M., Singh R. P., Suman R., Rab S. Biosensors applications in medical field: a brief review. Sensors International. 2021. Vol. 2. Article 100100. DOI: https://doi.org/10.1016/j.sintl.2021.100100.

Golfinopoulou R., Kintzios S. Biosensing for autoimmune chronic disease – a review. Chemosensors. 2023. Vol. 11, № 7. Article 366. DOI: https://doi.org/10.3390/chemosensors11070366.

Kim J. H., Suh Y. J., Park D., Yim H., Kim H., Kim H. J., Hwang K. S. Technological advances in electrochemical biosensors for the detection of disease biomarkers. Biomedical Engineering Letters. 2021. Vol. 11, № 4. P. 309–334. DOI: https://doi.org/10.1007/s13534-021-00204-w.

Samoylov A., Khristosenko R., Gridina N., Dorozinsky G., Romanchuk V., Khomenkova L. Dual-channel SPR biosensor for enhanced glioma relapse diagnostics: Blood cell aggregation as a biomarker for tumor malignancy. Semiconductor Physics, Quantum Electronics & Optoelectronics. 2024. Vol. 27, № 4. P. 502–508. DOI: https://doi.org/10.15407/spqeo27.04.502.

Bakhmat V. A., Soldatkin O. O., Arkhypova V. M., Dzyadevych S. V. Development of creatinine-sensitive biosensor based on immobilized creatinine deiminase. Biotechnologia Acta. 2024. Vol. 17, № 2. P. 18–20. DOI: https://doi.org/10.15407/biotech17.02.018.

Бездротове Холтер-моніторування ЕКГ MAWI. Медичний центр Святої Параскеви: вебсайт. 2025. URL: https://medcenter.lviv.ua/konsultaciya-kardiologa/bezdrotove-holter-monitoruvannya-mawi/

Published

2025-12-31