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Electrochemical glucose sensors in diabetes management: an updated review (2010–2020)
Abstract
Electrochemical glucose biosensors: where are we now and what is next?
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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
Wearable biosensors for healthcare monitoring
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
Self-citationInternational consensus on use of continuous glucose monitoring
Danne, T., Nimri, R., Battelino, T., Bergenstal, R. M., Close, K. L., DeVries, J. H., Garg, S., Heinemann, L., Hirsch, I., Amiel, S. A., et al. (2017) · Diabetes Care · doi:10.2337/dc17-1600 · Cited by 2,069
Lee, H., Choi, T. K., Lee, Y. B., Cho, H. R., Ghaffari, R., Wang, L., Choi, H. J., Chung, T. D., Lu, N., Hyeon, T., et al. (2016) · Nature Nanotechnology · doi:10.1038/nnano.2016.38 · Cited by 1,802
Electrochemical Glucose Sensors and Their Applications in Diabetes Management
Heller, A., & Feldman, B. (2008) · Chemical Reviews · doi:10.1021/cr068069y · Cited by 1,707
Bio-Integrated Wearable Systems: A Comprehensive Review
Ray, T. R., Choi, J., Bandodkar, A. J., Krishnan, S., Gutruf, P., Tian, L., Ghaffari, R., & Rogers, J. A. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00573 · Cited by 1,350
Hierarchical nanostructured conducting polymer hydrogel with high electrochemical activity
Pan, L., Yu, G., Zhai, D., Lee, H. R., Zhao, W., Liu, N., Wang, H., Tee, B. C.-K., Shi, Y., Cui, Y., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1202636109 · Cited by 1,216
Zwitterionic hydrogels implanted in mice resist the foreign-body reaction
Zhang, L., Cao, Z., Bai, T., Carr, L., Ella-Menye, J.-R., Irvin, C., Ratner, B. D., & Jiang, S. (2013) · Nature Biotechnology · doi:10.1038/nbt.2580 · Cited by 1,035
Graphene-based wireless bacteria detection on tooth enamel
Mannoor, M. S., Tao, H., Clayton, J. D., Sengupta, A., Kaplan, D. L., Naik, R. R., Verma, N., Omenetto, F. G., & McAlpine, M. C. (2012) · Nature Communications · doi:10.1038/ncomms1767 · Cited by 1,014
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
Emaminejad, S., Gao, W., Wu, E., Davies, Z. A., Yin Yin Nyein, H., Challa, S., Ryan, S. P., Fahad, H. M., Chen, K., Shahpar, Z., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1701740114 · Cited by 839
Wearable 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-citationTattoo-Based Noninvasive Glucose Monitoring: A Proof-of-Concept Study
Bandodkar, A. J., Jia, W., Yardımcı, C., Wang, X., Ramirez, J., & Wang, J. (2015) · Analytical Chemistry · doi:10.1021/ac504300n · Cited by 700
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-citationYu, Y., Nassar, J., Xu, C., Min, J., Yang, Y., Dai, A., Doshi, R., Huang, A., Song, Y., Gehlhar, R., et al. (2020) · Science Robotics · doi:10.1126/scirobotics.aaz7946 · Cited by 655
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
Correlation Between Sweat Glucose and Blood Glucose in Subjects with Diabetes
Moyer, J., Wilson, D., Finkelshtein, I., Wong, B., & Potts, R. (2012) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2011.0262 · Cited by 570
Integrated textile sensor patch for real-time and multiplex sweat analysis
He, W., Wang, C., Wang, H., Jian, M., Lu, W., Liang, X., Zhang, X., Yang, F., & Zhang, Y. (2019) · Science Advances · doi:10.1126/sciadv.aax0649 · Cited by 564
A contact lens with embedded sensor for monitoring tear glucose level
Yao, H., Shum, A. J., Cowan, M., Lähdesmäki, I., & Parviz, B. A. (2011) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2010.12.042 · Cited by 513
Wireless smart contact lens for diabetic diagnosis and therapy
Keum, D. H., Kim, S.-K., Koo, J., Lee, G.-H., Jeon, C., Mok, J. W., Mun, B. H., Lee, K. J., Kamrani, E., Joo, C.-K., et al. (2020) · Science Advances · doi:10.1126/sciadv.aba3252 · Cited by 483
Cappon, G., Vettoretti, M., Sparacino, G., & Facchinetti, A. (2019) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2019.0121 · Cited by 477
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
Self-citationContact 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
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
Hou, C., Carter, B., Hewitt, J., Francisa, T., & Mayor, S. (2016) · Diabetes Care · doi:10.2337/dc16-0346 · Cited by 411
Tierney, M. J., Tamada, J. A., Potts, R. O., Jovanovic, L., & Garg, S. (2001) · Biosensors and Bioelectronics · doi:10.1016/s0956-5663(01)00189-0 · Cited by 390
Nyein, H. Y. Y., Bariya, M., Kivimäki, L., Uusitalo, S., Liaw, T. S., Jansson, E., Ahn, C. H., Hangasky, J. A., Zhao, J., Lin, Y., et al. (2019) · Science Advances · doi:10.1126/sciadv.aaw9906 · Cited by 388
A 3-$\mu\hbox{W}$ CMOS Glucose Sensor for Wireless Contact-Lens Tear Glucose Monitoring
Liao, Y.-T., Yao, H., Lingley, A., Parviz, B., & Otis, B. P. (2012) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2011.2170633 · Cited by 372
Biocompatible Materials for Continuous Glucose Monitoring Devices
Nichols, S. P., Koh, A., Storm, W. L., Shin, J. H., & Schoenfisch, M. H. (2013) · Chemical Reviews · doi:10.1021/cr300387j · Cited by 347
Bandodkar, A. J., Jeerapan, I., You, J.-M., Nuñez-Flores, R., & Wang, J. (2016) · Nano Letters · doi:10.1021/acs.nanolett.5b04549 · Cited by 341
Self-citationLipani, L., Dupont, B. G. R., Doungmene, F., Marken, F., Tyrrell, R. M., Guy, R. H., & Ilie, A. (2018) · Nature Nanotechnology · doi:10.1038/s41565-018-0112-4 · Cited by 340
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
Self-citationEyeglasses-based tear biosensing system: Non-invasive detection of alcohol, vitamins and glucose
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., et al. (2019) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2019.04.058 · Cited by 315
Grattieri, M., & Minteer, S. D. (2018) · ACS Sensors · doi:10.1021/acssensors.7b00818 · Cited by 312
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-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
Chu, M. X., Miyajima, K., Takahashi, D., Arakawa, T., Sano, K., Sawada, S.-I., Kudo, H., Iwasaki, Y., Akiyoshi, K., Mochizuki, M., et al. (2011) · Talanta · doi:10.1016/j.talanta.2010.10.055 · Cited by 279
Teymourian, H., Moonla, C., Tehrani, F., Vargas, E., Aghavali, R., Barfidokht, A., Tangkuaram, T., Mercier, P. P., Dassau, E., & Wang, J. (2020) · Analytical Chemistry · doi:10.1021/acs.analchem.9b05109 · Cited by 278
Self-citationXie, X., Doloff, J. C., Yesilyurt, V., Sadraei, A., McGarrigle, J. J., Omami, M., Veiseh, O., Farah, S., Isa, D., Ghani, S., et al. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0273-3 · Cited by 235
Pacifier Biosensor: Toward Noninvasive Saliva Biomarker Monitoring
García-Carmona, L., Martín, A., Sempionatto, J. R., Moreto, J. R., González, M. C., Wang, J., & Escarpa, A. (2019) · Analytical Chemistry · doi:10.1021/acs.analchem.9b03379 · Cited by 230
Self-citationEnergy extraction from the biologic battery in the inner ear
Mercier, P. P., Lysaght, A. C., Bandyopadhyay, S., Chandrakasan, A. P., & Stankovic, K. M. (2012) · Nature Biotechnology · doi:10.1038/nbt.2394 · Cited by 217
Tear glucose levels in normal people and in diabetic patients.
Sen, D. K., & Sarin, G. S. (1980) · British Journal of Ophthalmology · doi:10.1136/bjo.64.9.693 · Cited by 203
Munje, R. D., Muthukumar, S., & Prasad, S. (2017) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2016.07.088 · Cited by 190
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
Continuous glucose monitoring sensors: past, present and future algorithmic challenges
Facchinetti, A. (2016) · Sensors · doi:10.3390/s16122093 · Cited by 176
Clinical accuracy of a continuous glucose monitoring system with an advanced algorithm
Bailey, T. S., Chang, A., & Christiansen, M. (2015) · Journal of Diabetes Science and Technology · doi:10.1177/1932296814559746 · Cited by 168
Galindo, R. J., Aleppo, G., Klonoff, D. C., Spanakis, E. K., Agarwal, S., Vellanki, P., Olson, D. E., Umpierrez, G. E., Davis, G. M., & Pasquel, F. J. (2020) · Journal of Diabetes Science and Technology · doi:10.1177/1932296820932903 · Cited by 155
Comparative accuracy of 17 point-of-care glucose meters
Ekhlaspour, L., Mondesir, D., Lautsch, N., Balliro, C., Hillard, M., Magyar, K., Radocchia, L. G., Esmaeili, A., Sinha, M., & Russell, S. J. (2017) · Journal of Diabetes Science and Technology · doi:10.1177/1932296816672237 · Cited by 127
Recent trends in the development of diagnostic tools for diabetes mellitus using patient saliva
Viswanath, B., Choi, C. S., Lee, K., & Kim, S. (2017) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2017.01.011 · Cited by 75
The effect of nitric oxide surface flux on the foreign body response to subcutaneous implants
Nichols, S. P., Koh, A., Brown, N. L., Rose, M. B., Sun, B., Slomberg, D. L., Riccio, D. A., Klitzman, B., & Schoenfisch, M. H. (2012) · Biomaterials · doi:10.1016/j.biomaterials.2012.05.053 · Cited by 67
Sakaguchi, K., Hirota, Y., Hashimoto, N., Ogawa, W., Hamaguchi, T., Matsuo, T., Miyagawa, J.-I., Namba, M., Sato, T., Okada, S., et al. (2013) · Journal of Diabetes Science and Technology · doi:10.1177/193229681300700313 · Cited by 50
Wolf, A. K., Qin, Y., Major, T. C., & Meyerhoff, M. E. (2015) · Chinese Chemical Letters · doi:10.1016/j.cclet.2015.03.002 · Cited by 21
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Wu, J., Liu, H., Chen, W., Ma, B., & Ju, H. (2023) · Nature Reviews Bioengineering · doi:10.1038/s44222-023-00032-w · Cited by 895
Wearable chemical sensors for biomarker discovery in the omics era
Sempionatto, J. R., Lasalde-Ramírez, J. A., Mahato, K., Wang, J., & Gao, W. (2022) · Nature Reviews Chemistry · doi:10.1038/s41570-022-00439-w · Cited by 613
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Chen, S., Qi, J., Fan, S., Qiao, Z., Yeo, J. C., & Lim, C. T. (2021) · Advanced Healthcare Materials · doi:10.1002/adhm.202100116 · Cited by 453
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Mahato, K., Saha, T., Ding, S., Sandhu, S. S., Chang, A.-Y., & Wang, J. (2024) · Nature Electronics · doi:10.1038/s41928-024-01247-4 · Cited by 404
Self-citation
Metadata
- Authors
- Teymourian, H., Barfidokht, A., & Wang, J.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2020
- Volume
- 49
- Issue
- 21
- Pages
- 7671-7709
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W3091542356
- Cited by
- 881
- References
- 52
- FWCI
- 4.28
- Type
- journal article
- Language
- en
- Open access
- closed
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