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Eyeglasses-based tear biosensing system: Non-invasive detection of alcohol, vitamins and glucose
Open accessAbstract
We report on a wearable tear bioelectronic platform, integrating a microfluidic electrochemical detector into an eyeglasses nose-bridge pad, for non-invasive monitoring of key tear biomarkers. The alcohol-oxidase (AOx) biosensing fluidic system allowed real-time tear collection and direct alcohol measurements in stimulated tears, leading to the first wearable platform for tear alcohol monitoring. Placed outside the eye region this fully wearable tear-sensing platform addresses drawbacks of sensor systems involving direct contact with the eye as the contact lenses platform. Integrating the wireless electronic circuitry into the eyeglasses frame thus yielded a fully portable, convenient-to-use fashionable sensing device. The tear alcohol sensing concept was demonstrated for monitoring of alcohol intake in human subjects over multiple drinking courses, displaying good correlation to parallel BAC measurements. We also demonstrate for the first time the ability to monitor tear glucose outside the eye and the utility of wearable devices for monitoring vitamin nutrients in connection to enzymatic flow detector and rapid voltammetric scanning, respectively. These developments pave the way to build an effective eyeglasses system capable of chemical tear analysis.
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“Despite some efforts, several challenges remain, such as difficulty in sampling tears, small sample volumes, issues with fast evaporation, dependence of tear composition on emotional or mechanical stimulation, and reliable operation of fully integrated wireless sensing platforms [126,152].”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [152]
In the citing paper
“In one of the most recent works, Sempionatto et al. [152] used a non-invasive wearable tear biosensor system mounted on eyeglasses for real-time monitoring of different analytes, including alcohol, vitamins such as vitamin B2 and B6, and glucose in tears (Figure 6c).”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [152]
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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 1×
“Wearable chemical sensors have thus been integrated into a variety of body conformable platforms ranging from wristbands (Gao et al., 2016) and temporary tattoos (Bandodkar et al., 2015) to textiles (Jeerapan et al., 2016) and from mouthguard (Kim et al., 2015) to contact lenses (Park et al.,…”
BackgroundLab-on-Skin: A Review of Flexible and Stretchable Electronics for Wearable Health Monitoring
Liu, Y., Pharr, M., & Salvatore, G. A. (2017) · ACS Nano · doi:10.1021/acsnano.7b04898 · Cited by 1,725
Bariya, M., Nyein, H. Y. Y., & Javey, A. (2018) · Nature Electronics · doi:10.1038/s41928-018-0043-y · Cited by 1,486
Wearable sensors: modalities, challenges, and prospects
Heikenfeld, J., Jajack, A., Rogers, J., Gutruf, P., Tian, L., Pan, T., Li, R., Khine, M., Kim, J., Wang, J., et al. (2018) · Lab on a Chip · doi:10.1039/c7lc00914c · Cited by 1,434
Self-citationGrant, B. F., Chou, S. P., Saha, T. D., Pickering, R. P., Kerridge, B. T., Ruan, W. J., Huang, B., Jung, J., Zhang, H., Fan, A., et al. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.2161 · Cited by 1,362
Wearable and flexible electronics for continuous molecular monitoring
Yang, Y., & Gao, W. (2019) · Chemical Society Reviews · doi:10.1039/c7cs00730b · Cited by 1,315 · cited 1×
“(Bariya et al., 2018; Heikenfeld et al., 2018; Yang and Gao, 2019).”
Wearable smart sensor systems integrated on soft contact lenses for wireless ocular diagnostics
Kim, J., Kim, M., Lee, M.-S., Kim, K., Ji, S., Kim, Y.-T., Park, J., Na, K., Bae, K.-H., Kyun Kim, H., et al. (2017) · Nature Communications · doi:10.1038/ncomms14997 · Cited by 951
Self-citationWearable Chemical Sensors: Present Challenges and Future Prospects
Bandodkar, A. J., Jeerapan, I., & Wang, J. (2016) · ACS Sensors · doi:10.1021/acssensors.6b00250 · Cited by 778
Self-citationWearable salivary uric acid mouthguard biosensor with integrated wireless electronics
Kim, J., Imani, S., de Araujo, W. R., Warchall, J., Valdés-Ramírez, G., Paixão, T. R. L. C., Mercier, P. P., & Wang, J. (2015) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2015.07.039 · Cited by 678
Self-citationSoft, smart contact lenses with integrations of wireless circuits, glucose sensors, and displays
Park, J., Kim, J., Kim, S.-Y., Cheong, W. H., Jang, J., Park, Y.-G., Na, K., Kim, Y.-T., Heo, J. H., Lee, C. Y., et al. (2018) · Science Advances · doi:10.1126/sciadv.aap9841 · Cited by 671
Self-citationDetermination of tear volume and tear flow.
Mishima, S., Gasset, A. R., Klyce, S. D., & BAUM, J. L. (1966) · PubMed · Cited by 607
Noninvasive Alcohol Monitoring Using a Wearable Tattoo-Based Iontophoretic-Biosensing System
Kim, J., Jeerapan, I., Imani, S., Cho, T. N., Bandodkar, A., Cinti, S., Mercier, P. P., & Wang, J. (2016) · ACS Sensors · doi:10.1021/acssensors.6b00356 · Cited by 599
Self-citationWearable non-invasive epidermal glucose sensors: A review
Kim, J., Campbell, A. S., & Wang, J. (2017) · Talanta · doi:10.1016/j.talanta.2017.08.077 · Cited by 595
Contact Lens Sensors in Ocular Diagnostics
Farandos, N. M., Yetisen, A. K., Monteiro, M. J., Lowe, C. R., & Yun, S. H. (2015) · Advanced Healthcare Materials · doi:10.1002/adhm.201400504 · Cited by 466
Tattoo‐Based Wearable Electrochemical Devices: A Review
Bandodkar, A. J., Jia, W., & Wang, J. (2015) · Electroanalysis · doi:10.1002/elan.201400537 · Cited by 321
Stretchable biofuel cells as wearable textile-based self-powered sensors
Jeerapan, I., Sempionatto, J. R., Pavinatto, A., You, J.-M., & Wang, J. (2016) · Journal of Materials Chemistry A · doi:10.1039/c6ta08358g · Cited by 317
Eyeglasses based wireless electrolyte and metabolite sensor platform
Sempionatto, J. R., Nakagawa, T., Pavinatto, A., Mensah, S. T., Imani, S., Mercier, P., & Wang, J. (2017) · Lab on a Chip · doi:10.1039/c7lc00192d · Cited by 311
Self-citationContinuous minimally-invasive alcohol monitoring using microneedle sensor arrays
Mohan, A. M. V., Windmiller, J. R., Mishra, R. K., & Wang, J. (2017) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2017.01.016 · Cited by 282
Schirmer strip vs. capillary tube method: Non-invasive methods of obtaining proteins from tear fluid
Posa, A., Bräuer, L., Schicht, M., Garreis, F., Beileke, S., & Paulsen, F. P. (2012) · Annals of Anatomy - Anatomischer Anzeiger · doi:10.1016/j.aanat.2012.10.001 · Cited by 227
A contact lens with an integrated lactate sensor
Thomas, N., Lähdesmäki, I., & Parviz, B. A. (2012) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2011.12.049 · Cited by 220
Tear glucose analysis for the noninvasive detection and monitoring of diabetes mellitus
Baca, J. T., Finegold, D. N., & Asher, S. A. (2007) · The Ocular Surface · doi:10.1016/s1542-0124(12)70094-0 · Cited by 187
Measurement of tear glucose levels with amperometric glucose biosensor/capillary tube configuration
Yan, Q., Peng, B., Su, G., Cohan, B. E., Major, T. C., & Meyerhoff, M. E. (2011) · Analytical Chemistry · doi:10.1021/ac201700c · Cited by 185
Yao, H., Liao, Y., Lingley, A. R., Afanasiev, A., Lähdesmäki, I., Otis, B. P., & Parviz, B. A. (2012) · Journal of Micromechanics and Microengineering · doi:10.1088/0960-1317/22/7/075007 · Cited by 182
Miniature Biofuel Cell as a Potential Power Source for Glucose-Sensing Contact Lenses
Falk, M., Andoralov, V., Silow, M., Toscano, M. D., & Shleev, S. (2013) · Analytical Chemistry · doi:10.1021/ac4006793 · Cited by 173
Kownacka, A. E., Vegelyte, D., Joosse, M., Anton, N., Toebes, B. J., Lauko, J., Buzzacchera, I., Lipinska, K., Wilson, D. A., Geelhoed-Duijvestijn, N., et al. (2018) · Biomacromolecules · doi:10.1021/acs.biomac.8b01429 · Cited by 164
Hauke, A., Simmers, P., Ojha, Y. R., Cameron, B. D., Ballweg, R., Zhang, T., Twine, N., Brothers, M., Gomez, E., & Heikenfeld, J. (2018) · Lab on a Chip · doi:10.1039/c8lc01082j · Cited by 156
The effect of collection technique on tear composition.
Stuchell, R. N., Feldman, J. J., Farris, R. L., & Mandel, I. D. (1984) · PubMed · Cited by 155
Novartis signs up for Google smart lens
Senior, M. (2014) · Nature Biotechnology · doi:10.1038/nbt0914-856 · Cited by 152
Noninvasive Diagnostic Devices for Diabetes through Measuring Tear Glucose
Zhang, J., Hodge, W., Hutnick, C., & Wang, X. (2011) · Journal of Diabetes Science and Technology · doi:10.1177/193229681100500123 · Cited by 147
Gamella, M., Campuzano, S., Manso, J., Rivera, G. G. D., López-Colino, F., Reviejo, A. J., & Pingarrón, J. M. (2014) · Analytica Chimica Acta · doi:10.1016/j.aca.2013.09.020 · Cited by 140
Wearable electrochemical alcohol biosensors
Campbell, A. S., Kim, J., & Wang, J. (2018) · Current Opinion in Electrochemistry · doi:10.1016/j.coelec.2018.05.014 · Cited by 140
Pankratov, D., González‐Arribas, E., Blum, Z., & Shleev, S. (2016) · Electroanalysis · doi:10.1002/elan.201501116 · Cited by 135
Wearable Ring-Based Sensing Platform for Detecting Chemical Threats
Sempionatto, J. R., Mishra, R. K., Martín, A., Tang, G., Nakagawa, T., Lu, X., Campbell, A. S., Lyu, K. M., & Wang, J. (2017) · ACS Sensors · doi:10.1021/acssensors.7b00603 · Cited by 117
Peng, B., Lu, J., Balijepalli, A. S., Major, T. C., Cohan, B. E., & Meyerhoff, M. E. (2013) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2013.05.014 · Cited by 103
Analysis of tear glucose concentration with electrospray ionization mass spectrometry
Taormina, C. R., Baca, J. T., Asher, S. A., Grabowski, J. J., & Finegold, D. N. (2006) · Journal of the American Society for Mass Spectrometry · doi:10.1016/j.jasms.2006.10.002 · Cited by 99
Belle, J. T. L., Adams, A. C., Lin, C.-E., Engelschall, E., Pratt, B., & Cook, C. B. (2016) · Chemical Communications · doi:10.1039/c6cc03609k · Cited by 94
Advances in developing rapid, reliable and portable detection systems for alcohol
Thungon, P. D., Kakoti, A., Ngashangva, L., & Goswami, P. (2017) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2017.05.041 · Cited by 94
Excretion of Urea, Sodium, Potassium and Chloride in Human Tears
Thaysen, J. H., & Thorn, N. A. (1954) · American Journal of Physiology-Legacy Content · doi:10.1152/ajplegacy.1954.178.1.160 · Cited by 93 · cited 1×
“T Pankratov et al., 2016; Thaysen and Thorn, 1954).”
Jiang, N., Montelongo, Y., Butt, H., & Yetisen, A. K. (2018) · Small · doi:10.1002/smll.201704363 · Cited by 73
Concentration of Glucose and Total Chloride in Tears
Giardini, A., & Roberts, J. R. E. (1950) · British Journal of Ophthalmology · doi:10.1136/bjo.34.12.737 · Cited by 72
Oral Alcohol Administration Disturbs Tear Film and Ocular Surface
Kim, J. H., Kim, J., Nam, W. H., Yi, K., Choi, D. G., Hyon, J. Y., Wee, W. R., & Shin, Y. J. (2012) · Ophthalmology · doi:10.1016/j.ophtha.2011.11.015 · Cited by 67
Time Delays in Transdermal Alcohol Concentrations Relative to Breath Alcohol Concentrations
Karns‐Wright, T. E., Roache, J. D., Hill‐Kapturczak, N., Liang, Y., Mullen, J., & Dougherty, D. M. (2016) · Alcohol and Alcoholism · doi:10.1093/alcalc/agw058 · Cited by 60
Stout, P. J., Racchini, J. R., & Hilgers, M. E. (2004) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2004.6.635 · Cited by 59
Glucose-sensitive silicone hydrogel contact lens toward tear glucose monitoring
Badugu, R., Reece, E. A., & Lakowicz, J. R. (2018) · Journal of Biomedical Optics · doi:10.1117/1.jbo.23.5.057005 · Cited by 58
Khaksari, M., Mazzoleni, L. R., Ruan, C., Kennedy, R. T., & Minerick, A. R. (2017) · Experimental Eye Research · doi:10.1016/j.exer.2016.12.007 · Cited by 42 · cited 2×
“Vitamin B2 concentrations in tears have been reported to be in the range of 0.011–0.08 μM (Khaksari et al., 2017).”
BackgroundMethodInfluentialAndoralov, V., Shleev, S., Arnebrant, T., & Ruzgas, T. A. (2013) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-013-6756-x · Cited by 34
Correlation between tear fluid and serum vitamin D levels
Sethu, S., Shetty, R., Deshpande, K., Pahuja, N. K., Chinnappaiah, N., Agarwal, A., Sharma, A., & Ghosh, A. (2016) · Eye and Vision · doi:10.1186/s40662-016-0053-7 · Cited by 34
Roh, C., Lee, J., & Kang, C. (2016) · Molecules · doi:10.3390/molecules21060798 · Cited by 23
HUMAN TEARS: GLUCOSE INSTABILITIES
DAUM, K. M., & Hill, R. M. (1984) · Acta Ophthalmologica · doi:10.1111/j.1755-3768.1984.tb08427.x · Cited by 19
Electrochemical signatures of multivitamin mixtures
Mohan, A. M. V., Brunetti, B., Bulbarello, A., & Wang, J. (2015) · The Analyst · doi:10.1039/c5an01964h · Cited by 15
Lewis, J. G. (1957) · BMJ · doi:10.1136/bmj.1.5018.585-a · Cited by 12
Noninvasive Estimation of Blood Alcohol Concentrations: Ethanol Vapor Above the Eye
Giles, H. G., Sandrin, S., Saldivia, V., & Israel, Y. (1988) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.1988.tb00190.x · Cited by 12
RECENT ADVANCES IN THE DIAGNOSIS, PROGNOSIS, AND TREATMENT OF HEART DISEASE
Lewis, T. (1913) · BMJ · doi:10.1136/bmj.1.2724.585 · Cited by 8
Ethanol vapours above lacrimal fluid in the rabbit
Giles, H. G., Sandrin, S., Kapur, B., & Thiessen, J. J. (1987) · Canadian Journal of Physiology and Pharmacology · doi:10.1139/y87-395 · Cited by 7
Research works printed but not linked: 5
- Mishima, 1966, Ophthalmol. Vis. Sci., 5, 264
- Park, 2018, Sci. Adv., 4
- Senior, 2014, Nat. Biotechnol., 32
- Stuchell, 1984, Investig. Ophthalmol. Vis. Sci., 25, 374
- Yao, 2012, J. Micromech. Microeng., 22
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Shajari, S., Kuruvinashetti, K., Komeili, A., & Sundararaj, U. (2023) · Sensors · doi:10.3390/s23239498 · Cited by 535
“Despite some efforts, several challenges remain, such as difficulty in sampling tears, small sample volumes, issues with fast evaporation, dependence of tear composition on emotional or mechanical stimulation, and reliable operation of fully integrated wireless sensing platforms [126,152].”
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Metadata
- Authors
- Sempionatto, J. R., Brazaca, L. C., García-Carmona, L., Bolat, G., Campbell, A. S., Martin, A., Tang, G., Shah, R., Mishra, R. K., Kim, J., Zucolotto, V., Escarpa, A., & Wang, J.
- Affiliations
- University of California San Diego (US)
- Universidade de São Paulo (BR)
- Universidad de Alcalá (ES)
- Corresponding author
- Wang, Joseph
- ORCID
- Venue
- Biosensors and Bioelectronics
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 137
- Pages
- 161-170
- ISSN
- 0956-5663 (ISSN-L)
- PMC
- PMC8372769
- OpenAlex
- W2944569697
- Cited by
- 315
- References
- 54
- Citations by year
- 2026: 27 · 2025: 58 · 2024: 48 · 2023: 56 · 2022: 50 · 2021: 42 · 2020: 29 · 2019: 5
- FWCI
- 11.03
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Biosensors and Bioelectronics (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Defense Threat Reduction Agency Joint Science
- Technology Office for Chemical and Biological Defense (HDTRA 1-16-1-0013)
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (216981/2014-0)
- Sao Paulo Research Foundation (FAPESP) (2017/03779-0)
- University of Alcala
- Scientific and Technological Research Council of Turkey (TUBITAK 2219)
- NIH NIAAA T32 (AA013525)
- Topics
- Physical Sciences › Chemistry › Analytical Chemistry › Electrochemical sensors and biosensors
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Engineering › Biomedical Engineering › Biosensors and Analytical Detection
- Keywords
- spectacle, wearable sensors, alcohol detection, alcohol oxidase, tear glucose, non-invasive monitoring, blood alcohol concentration, wireless devices
- MeSH terms
- Wearable Electronic Devices, Alcohols, Eyeglasses, Glucose, Humans, Monitoring, Physiologic, Tears, Vitamins, Biosensing Techniques
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