A wearable multisensing patch for continuous sweat monitoring
Open accessAbstract
In sport, exercise and healthcare settings, there is a need for continuous, non-invasive monitoring of biomarkers to assess human performance, health and wellbeing. Here we report the development of a flexible microfluidic platform with fully integrated sensing for on-body testing of human sweat. The system can simultaneously and selectively measure metabolite (e.g. lactate) and electrolytes (e.g. pH, sodium) together with temperature sensing for internal calibration. The construction of the platform is designed such that continuous flow of sweat can pass through an array of flexible microneedle type of sensors (50µm diameter) incorporated in a microfluidic channel. Potentiometric sodium ion sensors were developed using a polyvinyl chloride (PVC) functional membrane deposited on an electrochemically deposited internal layer of Poly(3,4-ethylenedioxythiophene) (PEDOT) polymer. The pH sensing layer is based on a highly sensitive membrane of iridium oxide (IrOx). The amperometric-based lactate sensor consists of doped enzymes deposited on top of a semipermeable copolymer membrane and outer polyurethane layers. Real-time data were collected from human subjects during cycle ergometry and treadmill running. A detailed comparison of sodium, lactate and cortisol from saliva is reported, demonstrating the potential of the multi-sensing platform for tracking these outcomes. In summary, a fully integrated sensor for continuous, simultaneous and selective measurement of sweat metabolites, electrolytes and temperature was achieved using a flexible microfluidic platform. This system can also transmit information wirelessly for ease of collection and storage, with the potential for real-time data analytics.
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Clinical testing showed that perspiration commenced 10-15 min into the warm up period with increasing sweat rate during exercise due to thermoregulation.
“Clinical testing showed that perspiration commenced 10–15 min into the warm up period with increasing sweat rate during exercise due to thermoregulation.”
From Wearable sensors for monitoring the physiological and biochemical profile of the athlete (2019) · cites this paper as [50]
Sodium and lactate levels from saliva demonstrated the same correlation as noted with sweat; salivary cortisol levels exhibited the largest variation among the subjects.
“Sodium and lactate levels demonstrated the same correlation as noted with sweat; however, salivary cortisol levels exhibited the largest variation among the subjects.”
From Wearable sensors for monitoring the physiological and biochemical profile of the athlete (2019) · cites this paper as [50]
Sodium and lactate levels increased with an increase in exercise intensity reflecting a rise in anaerobic metabolism.
“Sodium and lactate levels increased with an increase in exercise intensity reflecting a rise in anaerobic metabolism.”
From Wearable sensors for monitoring the physiological and biochemical profile of the athlete (2019) · cites this paper as [50]
Temperature readings of the sensor varied between 20 and 40 °C across subjects.
“Temperature readings of the sensor varied between 20 and 40 °C across subjects.”
From Wearable sensors for monitoring the physiological and biochemical profile of the athlete (2019) · cites this paper as [50]
Cites
Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis
Gao, W., Emaminejad, S., Nyein, H. Y. Y., Challa, S., Chen, K., Peck, A., Fahad, H. M., Ota, H., Shiraki, H., Kiriya, D., et al. (2016) · Nature · doi:10.1038/nature16521 · Cited by 5,087 · cited 5× · see citing works
“During recovery, the level dropped to 20 mM and further still once the subject slowed down, which corresponds with prior literature (Gao et al. 2016).”
BackgroundResultInfluentialNon-invasive wearable electrochemical sensors: a review
Bandodkar, A. J., & Wang, J. (2014) · Trends in Biotechnology · doi:10.1016/j.tibtech.2014.04.005 · Cited by 1,247 · see citing works
Electrochemical Tattoo Biosensors for Real-Time Noninvasive Lactate Monitoring in Human Perspiration
Jia, W., Bandodkar, A. J., Valdés-Ramírez, G., Windmiller, J. R., Yang, Z., Ramírez, J., Chan, G., & Wang, J. (2013) · Analytical Chemistry · doi:10.1021/ac401573r · Cited by 862 · see citing works
Sonner, Z., Wilder, E., Heikenfeld, J., Kasting, G., Beyette, F., Swaile, D., Sherman, F., Joyce, J., Hagen, J., Kelley-Loughnane, N., et al. (2015) · Biomicrofluidics · doi:10.1063/1.4921039 · Cited by 724 · see citing works
Bandodkar, A. J., Molinnus, D., Mirza, O., Guinovart, T., Windmiller, J. R., Valdés-Ramírez, G., Andrade, F. J., Schöning, M. J., & Wang, J. (2014) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2013.11.039 · Cited by 490 · see citing works
Variations in Regional Sweat Composition in Normal Human Males
Patterson, M. J., Galloway, S. D. R., & Nimmo, M. A. (2000) · Experimental Physiology · doi:10.1111/j.1469-445x.2000.02058.x · Cited by 438 · see citing works
Adhesive RFID Sensor Patch for Monitoring of Sweat Electrolytes
Rose, D. P., Ratterman, M. E., Griffin, D. K., Hou, L., Kelley-Loughnane, N., Naik, R. R., Hagen, J. A., Papautsky, I., & Heikenfeld, J. C. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2369991 · Cited by 416 · see citing works
Transport in two-dimensional paper networks
Fu, E. S., Ramsey, S. A., Kauffman, P. C., et al. (2010) · Microfluidics and Nanofluidics · doi:10.1007/s10404-010-0643-y · Cited by 313 · see citing works
Advances in wearable chemical sensor design for monitoring biological fluids
Matzeu, G., Florea, L., & Diamond, D. (2015) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2015.01.077 · Cited by 303 · see citing works
A wearable electrochemical sensor for the real-time measurement of sweat sodium concentration
Schazmann, B., Morris, D., Slater, C., Beirne, S., Fay, C., Reuveny, R., Moyna, N., & Diamond, D. (2010) · Analytical Methods · doi:10.1039/b9ay00184k · Cited by 286 · see citing works
Yamanaka, K. (1989) · Japanese Journal of Applied Physics · doi:10.1143/jjap.28.632 · Cited by 281 · see citing works
Lactate in human sweat: a critical review of research to the present day
Derbyshire, P. J., Barr, H., Davis, F., & Higson, S. P. J. (2012) · The Journal of Physiological Sciences · doi:10.1007/s12576-012-0213-z · Cited by 280 · see citing works
Wearable temporary tattoo sensor for real-time trace metal monitoring in human sweat
Kim, J., de Araujo, W. R., Samek, I. A., Bandodkar, A. J., Jia, W., Brunetti, B., Paixão, T. R. L. C., & Wang, J. (2015) · Electrochemistry Communications · doi:10.1016/j.elecom.2014.11.024 · Cited by 245 · see citing works
Cardiopulmonary Exercise Testing in the Clinical Evaluation of Patients With Heart and Lung Disease
Arena, R. A., & Sietsema, K. E. (2011) · Circulation · doi:10.1161/circulationaha.109.914788 · Cited by 239 · see citing works
Sweat: A sample with limited present applications and promising future in metabolomics
Mena-Bravo, A., & de Castro, M. D. L. (2013) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2013.10.048 · Cited by 237 · see citing works
Havenith, G., & van Middendorp, H. (1990) · European Journal of Applied Physiology and Occupational Physiology · doi:10.1007/bf00236062 · Cited by 198 · see citing works
Fabrication of Low-Cost Paper-Based Microfluidic Devices by Embossing or Cut-and-Stack Methods
Thuo, M., Martínez, R. V., Lan, W.-J., et al. (2014) · Chemistry of Materials · doi:10.1021/cm501596s · Cited by 165 · see citing works
Relationship between Lactate Concentrations in Active Muscle Sweat and Whole Blood
Sakharov, D. A., Shkurnikov, M. Y., Vagin, M. Y., Yashina, E. I., Karyakin, A. A., & Tonevitsky, A. (2010) · Bulletin of Experimental Biology and Medicine · doi:10.1007/s10517-010-1075-0 · Cited by 155 · see citing works
Raiszadeh, M. M., Ross, M. M., Russo, P. S., Schaepper, M. A., Zhou, W., Deng, J., Ng, D., Dickson, A., Dickson, C., Strom, M., et al. (2012) · Journal of Proteome Research · doi:10.1021/pr2007957 · Cited by 142 · see citing works
The relationship between exercise intensity and the sweat lactate excretion rate
Buono, M. J., Lee, N. V. L., & Miller, P. W. (2010) · The Journal of Physiological Sciences · doi:10.1007/s12576-009-0073-3 · Cited by 128 · see citing works
Thin-film IrO pH microelectrode for microfluidic-based microsystems
Ges, I. A., Ivanov, B. L., Schaffer, D. K., Lima, E. A., Werdich, A. A., & Baudenbacher, F. J. (2004) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2004.09.021 · Cited by 120 · see citing works
Development of miniature all-solid-state potentiometric sensing system
Anastasova, S., Mattinen, U., Radu, A., Bobacka, J., Lewenstam, A., Migdalski, J., Danielewski, M., & Diamond, D. (2010) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2010.02.044 · Cited by 92 · see citing works
Self-citationAn integrated sensing and wireless communications platform for sensing sodium in sweat
Matzeu, G., O'Quigley, C., McNamara, E., Zuliani, C., Fay, C., Glennon, T., & Diamond, D. (2016) · Analytical Methods · doi:10.1039/c5ay02254a · Cited by 80 · see citing works
Micromachined sensor for lactate monitoring in saliva
Schabmueller, C. G. J., Loppow, D., Piechotta, G., Schütze, B., Albers, J., & Hintsche, R. (2005) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2005.09.015 · Cited by 58 · see citing works
Wearable Woven Electrochemical Biosensor Patch for Non‐invasive Diagnostics
Modali, A., Vanjari, S. R. K., & Dendukuri, D. (2016) · Electroanalysis · doi:10.1002/elan.201600041 · Cited by 51 · see citing works
Textile-based sampling for potentiometric determination of ions
Lisak, G., Arnebrant, T., Ruzgas, T. A., & Bobacka, J. (2015) · Analytica Chimica Acta · doi:10.1016/j.aca.2015.03.045 · Cited by 45 · see citing works
Thermoregulatory Efficiency is Increased after Heat Acclimation in Tropical Natives
Magalhães, F. D. C., Passos, R. L. F., da Fonseca, M. A., Oliveira, K. P. M., Ferreira‐Júnior, J. B., Martini, A. R. P., Lima, M. R. M., Guimarães, J. B., Baraúna, V. G., Garcia, E. S., et al. (2010) · Journal of PHYSIOLOGICAL ANTHROPOLOGY · doi:10.2114/jpa2.29.1 · Cited by 36 · see citing works
A new method of sweat testing: the CF Quantum®sweat test
Rock, M. J., Makholm, L. M., & Eickhoff, J. C. (2014) · Journal of Cystic Fibrosis · doi:10.1016/j.jcf.2014.05.001 · Cited by 36 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Bariya, M., Nyein, H. Y. Y., & Javey, A. (2018) · Nature Electronics · doi:10.1038/s41928-018-0043-y · Cited by 1,486 · see citing works
Advances in healthcare wearable devices
Iqbal, S. M. A., Mahgoub, I., Du, E., Leavitt, M. A., & Asghar, W. (2021) · npj Flexible Electronics · doi:10.1038/s41528-021-00107-x · Cited by 714 · see citing works
Multifunctional Skin‐Inspired Flexible Sensor Systems for Wearable Electronics
Xu, K., Lu, Y., & Takei, K. (2019) · Advanced Materials Technologies · doi:10.1002/admt.201800628 · Cited by 602 · see citing works
Wearable sensors for monitoring the physiological and biochemical profile of the athlete
Seshadri, D. R., Li, R. T., Voos, J. E., Rowbottom, J. R., Alfes, C. M., Zorman, C. A., & Drummond, C. K. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0150-9 · Cited by 537 · see citing works
Martín, A., Kim, J., Kurniawan, J. F., Sempionatto, J. R., Moreto, J. R., Tang, G., Campbell, A. S., Shin, A., Lee, M. Y., Liu, X., et al. (2017) · ACS Sensors · doi:10.1021/acssensors.7b00729 · Cited by 475 · see citing works
Skin-interfaced systems for sweat collection and analytics
Choi, J., Ghaffari, R., Baker, L. B., & Rogers, J. A. (2018) · Science Advances · doi:10.1126/sciadv.aar3921 · Cited by 433 · see citing works
Stretchable wireless system for sweat pH monitoring
Dang, W., Manjakkal, L., Navaraj, W. T., Lorenzelli, L., Vinciguerra, V., & Dahiya, R. (2018) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2018.02.025 · Cited by 326 · see citing works
Wearable Biosensors for Non-Invasive Sweat Diagnostics
Xu, J., Fang, Y., & Chen, J. (2021) · Biosensors · doi:10.3390/bios11080245 · Cited by 208 · see citing works
Khoshmanesh, F., Thurgood, P., Pirogova, E., Nahavandi, S., & Baratchi, S. (2021) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2020.112946 · Cited by 204 · see citing works
Flexible Electrochemical Biosensors for Health Monitoring
Yang, A., & Yan, F. (2021) · ACS Applied Electronic Materials · doi:10.1021/acsaelm.0c00534 · Cited by 122 · see citing works
Li, G., & Wen, D. (2020) · Journal of Materials Chemistry B · doi:10.1039/c9tb02474c · Cited by 119 · see citing works
Wearable sweat sensing for prolonged, semicontinuous, and nonobtrusive health monitoring
Moonen, E. J. M., Haakma, J. R., Peri, E., Pelssers, E., Mischi, M., & den Toonder, J. M. J. (2020) · VIEW · doi:10.1002/viw.20200077 · Cited by 86 · see citing works
Wang, Z., Dong, S., Gui, M., Asif, M., Wang, W., Wang, F., & Liu, H. (2018) · Analytical Biochemistry · doi:10.1016/j.ab.2017.12.010 · Cited by 59 · see citing works
Shajari, S., Salahandish, R., Zare, A., Hassani, M., Moossavi, S., Munro, E., Rashid, R., Rosenegger, D., Bains, J. S., & Sanati Nezhad, A. (2023) · Advanced Science · doi:10.1002/advs.202204171 · Cited by 55 · see citing works
Cho, S., Nam, H. J., Shi, C., Kim, C. Y., Byun, S.-H., Agno, K.-C., Lee, B. C., Xiao, J., Sim, J. Y., & Jeong, J.-W. (2023) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2022.115018 · Cited by 46 · see citing works
Recent advances in flexible sweat glucose biosensors
Zhou, W., He, Q., Ye, H., Ye, C., Wu, X., & Chu, J. (2021) · Journal of Physics D: Applied Physics · doi:10.1088/1361-6463/ac14ef · Cited by 40 · see citing works
Enzymatic Low Volume Passive Sweat Based Assays for Multi-Biomarker Detection
Bhide, A., Cheeran, S., Muthukumar, S., & Prasad, S. (2019) · Biosensors · doi:10.3390/bios9010013 · Cited by 30 · see citing works
Wearable Microfluidics for Continuous Assay
Lin, P.-H., Nien, H.-H., & Li, B.-R. (2023) · Annual Review of Analytical Chemistry · doi:10.1146/annurev-anchem-091322-082930 · Cited by 28 · see citing works
- Authors
- Anastasova, S., Crewther, B., Bembnowicz, P., Curto, V., Ip, H. M., Rosa, B., & Yang, G.-Z.
- Affiliations
- Imperial College London (GB)
- Instytut Sportu (PL)
- Corresponding author
- Anastasova, Salzitsa
- Venue
- Biosensors and Bioelectronics
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 93
- Pages
- 139-145
- ISSN
- 0956-5663 (ISSN-L)
- OpenAlex
- W2521475794
- Cited by
- 443
- References
- 28
- Citations by year
- 2026: 31 · 2025: 39 · 2024: 42 · 2023: 43 · 2022: 55 · 2021: 68 · 2020: 58 · 2019: 57 · 2018: 42 · 2017: 8
- FWCI
- 17.17
- Type
- journal article
- Language
- en
- Update notices
- erratum (2017-08-15)
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Biosensors and Bioelectronics (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Spiral (Imperial College London) (submittedVersion, cc-by-nc-nd)
- Spiral (Imperial College London) (submittedVersion, other-oa)
- Funders
- Elite Sport Performance Research in Training with Pervasive Sensing Programme (EP/H009744/1)
- Engineering and Physical Sciences Research Council
- UK Sports Council
- Smart Sensing for Surgery Project (EP/L014149/1)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrochemical sensors and biosensors
- Physical Sciences › Chemical Engineering › Bioengineering › Analytical Chemistry and Sensors
- Keywords
- wearable sensors, sweat monitoring, flexible microfluidics, lactate sensing, sodium ion detection, pH sensing, PEDOT, microneedle sensors, cortisol, exercise monitoring, wireless data transmission, human performance monitoring
- MeSH terms
- Electrolytes, Humans, Hydrogen-Ion Concentration, Iridium, Polymers, Polyvinyl Chloride, Sweat, Biosensing Techniques, Bridged Bicyclo Compounds, Heterocyclic
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