Wearable Microfluidics for Continuous Assay
Open accessAbstract
The development of wearable devices provides approaches for the realization of self-health care. Easily carried wearable devices allow individual health monitoring at any place whenever necessary. There are various interesting monitoring targets, including body motion, organ pressure, and biomarkers. An efficient use of space in one small device is a promising resolution to increase the functions of wearable devices. Through integration of a microfluidic system into wearable devices, embedding complicated structures in one design becomes possible and can enable multifunction analyses within a limited device volume. This article reviews the reported microfluidic wearable devices, introduces applications to different biofluids, discusses characteristics of the design strategies and sensing principles, and highlights the attractive configurations of each device. This review seeks to provide a detailed summary of recent advanced microfluidic wearable devices. The overview of advanced key components is the basis for the development of future microfluidic wearable devices.
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Tears are an attractive biofluid for non-invasive monitoring of various metabolites and physiological parameters due to close tear-blood concentration correlations.
“They are an attractive biofluid for non-invasive monitoring of various metabolites and physiological parameters due to close tear–blood concentration correlations [146].”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [146]
Wearable saliva biosensors suffer from bulkiness and discomfort in practical applications.
“Although wearable saliva biosensors have the advantages of rapid collection, large analyte volume, continuous flow, and relatively clean samples for reliable measurements, they still suffer from bulkiness and discomfort in practical applications [146].”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [146]
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- Wu M, Luo J. 2019. Wearable technology applications in healthcare: a literature review. Online J. Nurs. Inform. 23. https://www.himss.org/resources/wearable-technology-applications-healthcare- literature-review
- Kaufman E, Lamster IB. 2002. The diagnostic applications of saliva-a review. Crit. Rev. Oral. Biol. Med. 13:197-212
- Sensors for Coastal and Ocean Monitoring Ciprian Briciu-Burghina, Sean Power, Adrian Delgado, and Fiona Regan p p p p p p p p p p p p p 451 Errata An online log of corrections to Annual Review of Analytical Chemistry articles may be found at http://www.annualreviews.org/errata/
Cited by
Sorted by citations
The emergence of AI-based wearable sensors for digital health technology: a review
Shajari, S., Kuruvinashetti, K., Komeili, A., & Sundararaj, U. (2023) · Sensors · doi:10.3390/s23239498 · Cited by 535 · see citing works
Advancement in Paper-Based Electrochemical Biosensing and Emerging Diagnostic Methods
Benjamin, S. R., de Lima, F., do Nascimento, V. A., de Andrade, G., & Oriá, R. B. (2023) · Biosensors · doi:10.3390/bios13070689 · Cited by 82 · see citing works
Garg, M., Guo, H., Maclam, E., Zhanov, E., Samudrala, S., Pavlov, A. F., Rahman, M. S., Namkoong, M., Moreno, J. P., & Tian, L. (2024) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.4c10033 · Cited by 85 · see citing works
Skin-interfaced colorimetric microfluidic devices for on-demand sweat analysis
Liu, W., Cheng, H., & Wang, X. (2023) · npj Flexible Electronics · doi:10.1038/s41528-023-00275-y · Cited by 71 · see citing works
Next-Generation Microfluidics for Biomedical Research and Healthcare Applications
Deliorman, M., Ali, D. S., & Qasaimeh, M. A. (2023) · Biomedical Engineering and Computational Biology · doi:10.1177/11795972231214387 · Cited by 64 · see citing works
A Comprehensive Survey on Wearable Computing for Mental and Physical Health Monitoring
Elfouly, T., & Alouani, A. T. (2025) · Electronics · doi:10.3390/electronics14173443 · Cited by 56 · see citing works
Paper-based flexible electronic devices: processing, integration, and applications
Ying, W., Zhou, C., Sun, H., & Huang, W. (2025) · npj Flexible Electronics · doi:10.1038/s41528-025-00446-z · Cited by 33 · see citing works
Lorestani, F., Zhang, X., Ataie, Z., Kedzierski, A., Liu, Y., López, A., Dutta, A., Kacala, K., Niu, Z., Sheikhi, A., et al. (2025) · Small · doi:10.1002/smll.202502655 · Cited by 32 · see citing works
Kurdadze, T., Lamadie, F., Nehme, K. A., Teychené, S., Biscans, B., & Rodríguez-Ruiz, I. (2024) · Sensors · doi:10.3390/s24051529 · Cited by 21 · see citing works
Effect of Flow Velocity on Laminar Flow in Microfluidic Chips
Wu, C., Almuaalemi, H. Y. M., Sohan, A. S. M. M. F., & Yin, B. (2023) · Micromachines · doi:10.3390/mi14071277 · Cited by 15 · see citing works
Cell-free DNA in sepsis: from molecular insights to clinical management
Li, L., Huang, H., He, Y., Pang, J., Xiao, S.-C., Xia, Z., & Zheng, Y. (2025) · Military Medical Research · doi:10.1186/s40779-025-00668-2 · Cited by 15 · see citing works
Liquid transport strategies in wearable and implantable microfluidic systems
Wang, Q., Jia, Y., & Li, J. (2025) · Lab on a Chip · doi:10.1039/d5lc00593k · Cited by 10 · see citing works
Shakeel, M., Bari, A., Shakil, S., Hamid, A., Habib, A., Azeem, M., Naeem, M., Zahid, R., Ishtiaq, A., Afshan, N., et al. (2025) · Microchemical Journal · doi:10.1016/j.microc.2025.115014 · Cited by 9 · see citing works
Shape-memory microfluidic chips for fluid and droplet manipulation
Ye, W., Zhang, W., & Xu, Z. (2024) · Biomicrofluidics · doi:10.1063/5.0188227 · Cited by 8 · see citing works
Wearable biosensors for cancer detection and monitoring
Kashaninejad, N., Saram, P. D., Abdelfattah, M. A., Bakare, A., & Vu, H. H. (2025) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2025.05.005 · Cited by 7 · see citing works
Wearable microfluidic devices for multiplex body fluid monitoring
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Magnetoelastic-Chip Integrated Microfluidic Biosensor for the Detection of African Swine Fever Virus
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Lin, H.-P., Su, H. P., Chen, C., & Li, B. (2024) · Microchemical Journal · doi:10.1016/j.microc.2024.109902 · Cited by 1 · see citing works
Capillary Microfluidics for Bioanalysis: Design Principles and Application Perspectives
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Nien, H., & Li, B. (2023) · Revista de Química · doi:10.18800/quimica.202302.003
Sample preparation using microfluidic technologies for non-invasive tests
Oksuz, C., Tarim, E. A., Ozcan, H. A., Koc, S., & Tekin, H. C. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-15978-7.00038-2
Toward intelligent hormonal diagnostics: Quantum dots reshaping endocrine disease detection
Piperni, S. G., Aribigbola, T. C., Murucci, M. D., Bello, Z. M., Goldstein, A. D. C., Olayinka, O. S., Dao, T., Dezonne, R. S., Onikanni, S. A., & Miranda‐Alves, L. (2025) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2025.112722
Lab-on-a-Chip–enabled decision-making across the agricultural cycle: A four-season field guide
Dubourg, G. (2026) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2026.118858
Passive Sampling Finger Wrap for Continuous Sweat Monitoring of Glucose Sodium and Ethanol
Mahalakshmi, A., Raj, K. A., GodsonJoel, D., & Dharshini, V. (2026) · International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) · doi:10.1109/icaiss68683.2026.11526297
Vairaperumal, T., Selvaraj, D., Sasikumar, G. K., & Liu, P. (2026) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2026.119003
Transport-Informed Sweat Glucose Sensing Toward Noninvasive Continuous Monitoring
Zhang, S., Zhang, Y., Fl, Y., Liu, Z., Zhong, J., & Cheng, H. (2026) · ACS Applied Electronic Materials · doi:10.1021/acsaelm.6c00993
Li, Z., Li, F., & Jiang, X. (2026) · Chemical Communications · doi:10.1039/d6cc04236h
- Authors
- Lin, P.-H., Nien, H.-H., & Li, B.-R.
- Affiliations
- National Yang Ming Chiao Tung University (TW)
- Fu Jen Catholic University (TW)
- Corresponding author
- Lin, Pei-Heng
- Nien, Hsin-Hua
- Venue
- Annual Review of Analytical Chemistry
- Publisher
- Annual Reviews
- Published
- 2023-06-14
- Volume
- 16
- Issue
- 1
- Pages
- 181-203
- ISSN
- 1936-1327 (ISSN-L)
- 1936-1335
- OpenAlex
- W4323539069
- Cited by
- 28
- References
- 93
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 7 · 2023: 6
- FWCI
- 0.63
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Annual Review of Analytical Chemistry (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Shanghai Educational Development Foundation
- Ministry of Science and Technology, Taiwan (MOST111-2221-EA49-026)
- National Science and Technology Council
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Microfluidic and Capillary Electrophoresis Applications
- Physical Sciences › Engineering › Biomedical Engineering › Biosensors and Analytical Detection
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Keywords
- wearable devices, continuous health monitoring, self-care, biofluid analysis, biomarkers, multifunctional devices, sensing principles, human motion monitoring
- MeSH terms
- Wearable Electronic Devices, Biological Assay, Humans, Motion, Self Care, Microfluidics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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