Initial Clinical Testing of a Holographic Non-Invasive Contact Lens Glucose Sensor
Abstract
INTRODUCTION: The purpose of the present study was to determine the effectiveness of a new holographic contact lens glucose sensor for the non-invasive monitoring of blood glucose. METHODS: One fasting normal subject was given an oral challenge consisting of 44 g of glucose. The contact lens hologram signal and fingerstick blood glucose were measured over a 26- min period. RESULTS: The contact lens hologram signal appeared to track blood glucose well. The contact lens was comfortable and well tolerated. CONCLUSION: The holographic contact lens glucose sensor shows promise as a non-invasive home glucose monitor.
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Automated insulin pumps lower the glycated hemoglobin (HbA1c) level, an indicator for glycemic control.
“automated insulin pumps lowers the glycated hemoglobin (HbA1c) level, which is an indicator for glycemic control.82”
From Wearables in Medicine (2018) · cites this paper as [82]
Real-time monitoring of glucose in conjunction with automated insulin pumps lowers the glycated hemoglobin (HbA1c) level, which is an indicator for glycemic control.
“Real‐time monitoring of glucose in conjunction with automated insulin pumps lowers the glycated hemoglobin (HbA1c) level, which is an indicator for glycemic control.82”
From Wearables in Medicine (2018) · cites this paper as [82]
The possibility of quantifying glucose in human tear fluid at physiological conditions using holographic contact lenses was presented around the same time based on advantages such as no need of battery, easy reading, and continuous glucose signal monitoring.
“The possibility of quantifying glucose in human tear fluid at physiological conditions using holographic contact lenses was also presented around the same time based on its advantages such as a no need of battery, easy reading, and continuous glucose signal monitoring109.”
From Wearable biosensors for healthcare monitoring (2019) · cites this paper as [109]
Cites
Polyol Complexes and Structure of the Benzeneboronate Ion
Lorand, J. P., & Edwards, J. O. (1959) · The Journal of Organic Chemistry · doi:10.1021/jo01088a011 · Cited by 990 · see citing works
Russell, R. J., Pishko, M. V., Gefrides, C. C., McShane, M. J., & Coté, G. L. (1999) · Analytical Chemistry · doi:10.1021/ac990060r · Cited by 354 · see citing works
pH-Sensitive Holographic Sensors
Marshall, A. J., Blyth, J., Davidson, C. A. B., et al. (2003) · Analytical Chemistry · doi:10.1021/ac020730k · Cited by 176 · see citing works
Kabilan, S., Marshall, A. J., Sartain, F. K., Lee, M., Hussain, A., Yang, X., Blyth, J., Karangu, N., James, K., Zeng, J., et al. (2004) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2004.07.005 · Cited by 168 · see citing works
Self-citationGlucose-Sensitive Holographic Sensors for Monitoring Bacterial Growth
Lee, M., Kabilan, S., Hussain, A., Yang, X., Blyth, J., & Lowe, C. R. (2004) · Analytical Chemistry · doi:10.1021/ac049334n · Cited by 167 · see citing works
Self-citationMarch, W. F., Rabinovitch, B., & Adams, R. L. (1982) · Diabetes Care · doi:10.2337/diacare.5.3.259 · Cited by 102 · see citing works
Self-citationGlucose‐sensitive holographic sensors
Kabilan, S., Blyth, J., Lee, M. C., Marshall, A. J., Hussain, A., Yang, X., & Lowe, C. R. (2004) · Journal of Molecular Recognition · doi:10.1002/jmr.663 · Cited by 91 · see citing works
Self-citationBallerstädt, R., & Schultz, J. S. (1997) · Analytica Chimica Acta · doi:10.1016/s0003-2670(97)00042-1 · Cited by 89 · see citing works
Clinical Trial of a Noninvasive Contact Lens Glucose Sensor
March, W. F., Mueller, A., & Herbrechtsmeier, P. (2004) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2004.6.782 · Cited by 74 · see citing works
Self-citationSafety of Contact Lenses in Patients with Diabetes
March, W. F., Long, B., Hofmann, W., Keys, D. A., & McKenney, C. (2004) · Diabetes Technology & Therapeutics · doi:10.1089/152091504322783404 · Cited by 26 · see citing works
Self-citationIntraocular Lens Glucose Sensor
March, W. F., Ochsner, K. I., & Horna, J. (2000) · Diabetes Technology & Therapeutics · doi:10.1089/152091500316700 · Cited by 24 · see citing works
Self-citationHigh‐strength hydrogels based on N‐vinyl pyrrolidinone and 4‐t‐butyl‐2‐hydroxycyclohexylmethacrylate
Friends, G. D., Künzler, J., & Ozark, R. (1992) · Journal of Biomedical Materials Research · doi:10.1002/jbm.820260106 · Cited by 23 · see citing works
March, W. F. (2002) · Diabetes Technology & Therapeutics · doi:10.1089/15209150252924085 · Cited by 6 · see citing works
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Kim, J., Campbell, A. S., de Ávila, B. E.-F., & Wang, J. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0045-y · Cited by 3,373 · see citing works
Glucose sensors: a review of current and emerging technology
Oliver, N. S., Toumazou, C., Cass, A. E. G., & Johnston, D. G. (2009) · Diabetic Medicine · doi:10.1111/j.1464-5491.2008.02642.x · Cited by 584 · see citing works
Non-invasive glucose monitoring technology in diabetes management: A review
Vashist, S. K. (2012) · Analytica Chimica Acta · doi:10.1016/j.aca.2012.03.043 · Cited by 575 · see citing works
Yetisen, A. K., Martinez‐Hurtado, J. L., Ünal, B., Khademhosseini, A., & Butt, H. (2018) · Advanced Materials · doi:10.1002/adma.201706910 · Cited by 569 · see citing works
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 · see citing works
Self-citationTechnologies for Continuous Glucose Monitoring: Current Problems and Future Promises
Vaddiraju, S., Burgess, D. J., Tomazos, I., Jain, F. C., & Papadimitrakopoulos, F. (2010) · Journal of Diabetes Science and Technology · doi:10.1177/193229681000400632 · Cited by 285 · see citing works
Tura, A., Maran, A., & Pacini, G. (2007) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2006.10.027 · Cited by 283 · see citing works
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 · see citing works
A single-pixel wireless contact lens display
Lingley, A. R., Ali, M., Liao, Y., Mirjalili, R., Klonner, M., Sopanen, M., Suihkonen, S., Shen, T., Otis, B. P., Lipsanen, H., et al. (2011) · Journal of Micromechanics and Microengineering · doi:10.1088/0960-1317/21/12/125014 · Cited by 148 · see citing works
Mass spectral determination of fasting tear glucose concentrations in nondiabetic volunteers
Baca, J. T., Taormina, C. R., Feingold, E., Finegold, D. N., Grabowski, J. J., & Asher, S. A. (2007) · Clinical Chemistry · doi:10.1373/clinchem.2006.078543 · Cited by 110 · 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
- Authors
- Domschke, A., March, W. F., Kabilan, S., & Lowe, C.
- Affiliations
- CIBA Vision Corporation, Duluth, Georgia.
- State University of New York (US)
- University of Cambridge (GB)
- ORCID
- Lowe, Christopher
- Venue
- Diabetes Technology & Therapeutics
- Publisher
- SAGE Publications
- Published
- 2006-02
- Volume
- 8
- Issue
- 1
- Pages
- 89-93
- ISSN
- 1520-9156 (ISSN-L)
- 1557-8593
- OpenAlex
- W2075297164
- Cited by
- 81
- References
- 13
- Citations by year
- 2026: 4 · 2025: 2 · 2024: 4 · 2023: 5 · 2022: 7 · 2021: 7 · 2020: 8 · 2019: 4 · 2018: 2 · 2017: 5 · 2016: 2 · 2015: 4 · 2014: 3 · 2013: 4 · 2012: 5
- FWCI
- 2.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetes Technology & Therapeutics (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Ocular Surface and Contact Lens
- Keywords
- glucose sensor, non-invasive glucose monitoring, oral glucose tolerance test
- MeSH terms
- Blood Glucose, Contact Lenses, Environmental Monitoring, Equipment Design, Glucose, Holography, Humans
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