IoMT-Based Wearable Sweat Sensors: A Systematic Review of Non-Invasive Biomarker Monitoring for the Management of Metabolic Diseases
A Literature Review
DOI:
https://doi.org/10.33005/jdiversemedres.v3i4.343Keywords:
IoMT; Wearable biosensors; Sweet biomarkers; Metabolic disease; Non-invasive monitoring; Digital health.Abstract
Metabolic diseases such as type 2 diabetes mellitus, obesity, and metabolic syndrome continue to represent a growing global health burden. Conventional invasive monitoring methods often cause discomfort, repeated skin injury, and increased risk of infection, thereby encouraging the development of non-invasive monitoring technologies based on the Internet of Medical Things (IoMT). This systematic literature review aimed to synthesize recent advances in IoMT-based wearable sweat sensors as non-invasive biomarker monitoring platforms for metabolic disease management. A systematic literature search was conducted in PubMed and Google Scholar for articles published between 2021 and 2026 using keywords related to wearable sensors, sweat biomarkers, IoMT, and metabolic diseases. Following eligibility screening, 36 studies were included and analyzed. The findings revealed rapid advancements in wearable sweet-sensing technologies, particularly electrochemical, colorimetric, and microfluidic platforms integrated with IoMT architectures. Major biomarkers monitored through glucose, lactate, cortisol, and inflammatory cytokines such as IL-6 and TNF-α. Several studies demonstrated strong correlations between sweat biomarkers and conventional clinical measurements, while IoMT architectures integrated with Bluetooth Low Energy (BLE) and machine learning enabled accurate real-time monitoring. Overall, IoMT-based wearable sweat sensors demonstrate considerable potential as non-invasive tools for continuous metabolic disease monitioring and management. Nevertheless, challenges related to clinical validation, sensor stability, standardization, and data security must be addressed before widespread clinical adoption.
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Ruze R, Liu T, Zou X, Song J, Chen Y, Xu R, et al. Obesity and Type 2 Diabetes Mellitus: Connections in Epidemiology, Pathogenesis, and Treatments. Front Endocrinol (Lausanne). 2023 Apr;14. doi:10.3389/fendo.2023.1161521
He S, Wang J, Zhang X, Qian X, Yan S, Wang W, et al. Long-Term Influence of Type 2 Diabetes and Metabolic Syndrome on All-Cause and Cardiovascular Death, and Microvascular and Macrovascular Complications in Chinese Adults — A 30-Year Follow-up of The Da Qing Diabetes Study. Diabetes Res Clin Pract. 2022 Sep;191:110048. doi:10.1016/j.diabres.2022.110048
Wang M, Zheng J, Zhang G, Lu S, Zhou J. Wearable Electrochemical Glucose Sensors for Fluid Monitoring: Advances and Challenges in Non-Invasive and Minimally Invasive Technologies. Biosensors. 2025 May;15(5):309. doi:10.3390/bios15050309
Xu J, Fang Y, Chen J. Wearable Biosensors for Non-Invasive Sweat Diagnostics. Biosensors. 2021 Jul;11(8):245. doi:10.3390/bios11080245
Gao F, Liu C, Zhang L, Liu T, Wang Z, Song Z, et al. Wearable and Flexible Electrochemical Sensors for Sweat Analysis: A Review. Microsystems Nanoeng. 2023 Jan;9(1):1. doi:10.1038/s41378-022-00443-6
Ghaffari R, Yang DS, Kim J, Mansour A, Wright JA, Model JB, et al. State of Sweat: Emerging Wearable Systems for Real-Time, Noninvasive Sweat Sensing and Analytics. ACS Sensors. 2021 Aug;6(8):2787–801. doi:10.1021/acssensors.1c01133
Childs A, Mayol B, Lasalde-Ramírez JA, Song Y, Sempionatto JR, Gao W. Diving into Sweat: Advances, Challenges, and Future Directions in Wearable Sweat Sensing. ACS Nano. 2024 Sep;18(36):24605–16. doi:10.1021/acsnano.4c10344
Rind S, Zhang N, Khan WU, Zhang Q. Sweat-Based Wearable Biosensors: A New Era of Continuous, Noninvasive Health Monitoring and Diagnostics. Wearable Electron. 2025 Dec;2:323–43. doi:10.1016/j.wees.2025.08.002
Chowdhury AD, Sarkar S, Dasgupta U, Ghosh M. Nanostructured Electrochemical Biosensors for Real-Time and Portable Health Monitoring Systems. Biosens Bioelectron X. 2026 Aug;30:100766. doi:10.1016/j.biosx.2026.100766
Liang C, Liu J, Zhang H, Zhang Z, Liu Y, Zhang K, et al. Mitigating Lipid Biofouling in Wearable Sweat Sensors: A Study on Conductive MOF-based Electrodes with Tuned Hydrophilicity. Chem Eng J. 2025 Aug;518:164477. doi:10.1016/j.cej.2025.164477
Alharbi A, Alkhalifah A. Cybersecurity Governance in the Healthcare Sector During Digital Transformation: An Integrated Model and Hybrid Analytical Approach. Front Public Heal. 2025 Nov;13. doi:10.3389/fpubh.2025.1703689
Ren Z, Cui Y. Wearable Biosensors for Disease Diagnostics and Health Monitoring: Recent Progress and Emerging Technologies. Lab Chip. 2026;26(5):1444–70. doi:10.1039/D5LC00892A
Mathew J. Integrating Internet of Medical Things (IoMT) with AI-The Future of Real-Time Patient Monitoring. 2025;234–41.
Kumar A, Goel S, Chaudhary A, Dutt S, Mishra VK, Kumar R. Artificial Intelligence-Based Wearable Sensing Technologies for the Management of Cancer, Diabetes, and COVID-19. Biosensors. 2025 Nov;15(11):756. doi:10.3390/bios15110756
Ji W, Zhu J, Wu W, Wang N, Wang J, Wu J, et al. Wearable Sweat Biosensors Refresh Personalized Health/Medical Diagnostics. Research. 2021 Jan;2021. doi:10.34133/2021/9757126
Ganesan S, Ramajayam K, Kokulnathan T, Palaniappan A. Recent Advances in Two-Dimensional MXene-Based Electrochemical Biosensors for Sweat Analysis. Molecules. 2023 Jun;28(12):4617. doi:10.3390/molecules28124617
Min J, Tu J, Xu C, Lukas H, Shin S, Yang Y, et al. Skin-Interfaced Wearable Sweat Sensors for Precision Medicine. Chem Rev. 2023 Apr;123(8):5049–138. doi:10.1021/acs.chemrev.2c00823
Yin L, Cao M, Kim KN, Lin M, Moon JM, Sempionatto JR, et al. A Stretchable Epidermal Sweat Sensing Platform with an Integrated Printed Battery and Electrochromic Display. Nat Electron. 2022 Oct;5(10):694–705. doi:10.1038/s41928-022-00843-6
Kurniawan I. Teknologi Informasi Bidang Kedokteran Jilid I [Internet]. 1st ed. Pratiwi PE, editor. Lamongan: PT. Ghani Press Group; 2026. 149 p. Available from: https://e-book.ghanipress.com/index.php/ghanipress/catalog/book/36
Nadeem-Tariq A, Rafanan JR, Kang N, Zhang S, Kanniyappan H, Merchant A. Electrochemical Detection of Cancer Biomarkers: From Molecular Sensing to Clinical Translation. Biosensors. 2026 Jan;16(1):44. doi:10.3390/bios16010044
Ting W, Ali MY, Gage C, Fahnestock M, Mian MF, Howlader MMR. Advanced Non‐Enzymatic Electrochemical Sensor Materials for Alzheimer’s Disease Biomarkers. Anal Sens. 2026 May;6(3). doi:10.1002/anse.70090
Yagati AK, Torres MDT, de la Fuente-Nunez C. Colorimetric Biosensors for Pathogen Detection Toward Accessible and Scalable Diagnostics. Cell Reports Phys Sci. 2026 May;7(5):103268. doi:10.1016/j.xcrp.2026.103268
Assalve G, Lunetti P, Di Cagno A, De Luca EW, Aldegheri S, Zara V, et al. Advanced Wearable Devices for Monitoring Sweat Biochemical Markers in Athletic Performance: A Comprehensive Review. Biosensors. 2024 Nov;14(12):574. doi:10.3390/bios14120574
Manickam P, Mariappan SA, Murugesan SM, Hansda S, Kaushik A, Shinde R, et al. Artificial Intelligence (AI) and Internet of Medical Things (IoMT) Assisted Biomedical Systems for Intelligent Healthcare. Biosensors. 2022 Jul;12(8):562. doi:10.3390/bios12080562
Sedighi A, Kou T, Huang H, Li Y. Noninvasive On-Skin Biosensors for Monitoring Diabetes Mellitus. Nano-Micro Lett. 2026 Dec;18(1):16. doi:10.1007/s40820-025-01843-9
Zhong B, Jiang K, Wang L, Shen G. Wearable Sweat Loss Measuring Devices: From the Role of Sweat Loss to Advanced Mechanisms and Designs. Adv Sci. 2022 Jan;9(1). doi:10.1002/advs.202103257
Duan H, Peng S, He S, Tang S, Goda K, Wang CH, et al. Wearable Electrochemical Biosensors for Advanced Healthcare Monitoring. Adv Sci. 2025 Jan;12(2). doi:10.1002/advs.202411433
Chen S, Qiao Z, Niu Y, Yeo JC, Liu Y, Qi J, et al. Wearable Flexible Microfluidic Sensing Technologies. Nat Rev Bioeng. 2023 Sep;1(12):950–71. doi:10.1038/s44222-023-00094-w
Huhn S, Axt M, Gunga HC, Maggioni MA, Munga S, Obor D, et al. The Impact of Wearable Technologies in Health Research: Scoping Review. JMIR mHealth uHealth. 2022 Jan;10(1):e34384. doi:10.2196/34384
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