Wearable smart sensor systems integrated on soft contact lenses for wireless ocular diagnostics
Open accessAbstract
Wearable contact lenses which can monitor physiological parameters have attracted substantial interests due to the capability of direct detection of biomarkers contained in body fluids. However, previously reported contact lens sensors can only monitor a single analyte at a time. Furthermore, such ocular contact lenses generally obstruct the field of vision of the subject. Here, we developed a multifunctional contact lens sensor that alleviates some of these limitations since it was developed on an actual ocular contact lens. It was also designed to monitor glucose within tears, as well as intraocular pressure using the resistance and capacitance of the electronic device. Furthermore, in-vivo and in-vitro tests using a live rabbit and bovine eyeball demonstrated its reliable operation. Our developed contact lens sensor can measure the glucose level in tear fluid and intraocular pressure simultaneously but yet independently based on different electrical responses.
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Tears were used for monitoring human eye intraocular pressure as an indicator for glaucoma using soft contact lenses for wireless detection of both glucose and intraocular pressure.
“In addition, tears were used for monitoring human eye intraocular pressure as an indicator for glaucoma, which can cause blindness, using soft contact lenses for the wireless detection of both glucose and intraocular pressure [151].”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [151]
Although the smart contact lens device is capable of multiplexed sensing, the simultaneous demonstration of two functionalities has not yet been evaluated.
“Although this device is capable of multiplexed sensing, the simultaneous demonstration of two functionalities has not yet been evaluated.”
From Wearable biosensors for healthcare monitoring (2019) · cites this paper as [117]
Smart contact lenses for wireless ocular diagnostics have been developed by combining glucose and ocular pressure contact lens sensors for wireless in vivo glucose monitoring in the eye of a rabbit, together with in vitro monitoring of ocular pressure using a bovine eyeball.
“Recently, ‘smart’ contact lenses for wireless ocular diagnostics have been further developed by combining glucose and ocular pressure contact lens sensors for wireless in vivo glucose monitoring in the eye of a rabbit, together with in vitro monitoring of ocular pressure using a bovine eyeball (Fig. 5b)117.”
From Wearable biosensors for healthcare monitoring (2019) · cites this paper as [117]
The tear sensor is designed to detect glucose level in tears and measures intraocular pressure by utilizing resistance and capacitance properties.
“It is specifically designed to detect the level of glucose in tears and measures intraocular pressure by utilizing the resistance and capacitance properties.”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as Kim et al. 2017
A tear sensor using a graphene field-effect transistor integrated with a graphene-silver nanowire composite antenna works at radio frequency and wirelessly transmits sensory information upon glucose oxidation on the graphene channel.
“For instance, as shown in Fig. 2f Kim et al. introduced a tear sensor using a graphene field-effect transistor (FET) integrated with a graphene-silver nanowire (AgNW) composite antenna, which works at radio frequency and wirelessly transmits sensory information upon the occurrence of glucose oxidation on the graphene channel (Kim et al. 2017).”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as Kim et al. 2017
Real-time glucose detection in the tears of a rabbit eye and wireless tracking of intraocular pressure in a bovine eyeball in vitro have been successfully demonstrated.
“The real-time glucose detection in the tears of a rabbit eye and wireless tracking of intraocular pressure in a bovine eyeball in vitro have been successfully demonstrated.”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as Kim et al. 2017
By considering the correlation between tear glucose level and blood glucose level, a glucose sensor fitted on a contact lens can provide noninvasive monitoring of a user's glucose levels from tear fluids, with a lag time between tear glucose and blood glucose in the range of 10 to 20 min.
“By considering the correlation between the tear glucose level and blood glucose level (15), a glucose sensor fitted on a contact lens can provide the noninvasive monitoring of user’s glucose levels from tear fluids with a consideration of the lag time between tear glucose level and blood glucose level in the range of 10 to 20 min (13–16).”
From Soft, smart contact lenses with integrations of wireless circuits, glucose sensors, and displays (2018) · cites this paper as [14]
A smart contact lens is a promising wearable health monitoring device.
“Given this background, a smart contact lens is a promising example of a wearable, health monitoring device (13, 14).”
From Soft, smart contact lenses with integrations of wireless circuits, glucose sensors, and displays (2018) · cites this paper as [14]
The requirement for bulky and expensive equipment for signal measurements limits the use of smart contact lenses outside research laboratories or clinical settings by restricting users' external activities.
“(iv) the requirement for bulky and expensive equipment for signal measurements, which limits the use of smart contact lenses outside of research laboratories or clinical settings by restricting users’ external activities (14, 15, 20, 23).”
From Soft, smart contact lenses with integrations of wireless circuits, glucose sensors, and displays (2018) · cites this paper as [14]
Because the major carrier density is proportional to the glucose concentration, the relative change in resistance (ΔR/R0) of the sensor can be detected as a function of the glucose concentration.
“Because the major carrier density is proportional to the glucose concentration, we can detect the relative change in resistance (ΔR/R0) of the sensor as a function of the glucose concentration generated from the above reaction processes (14, 38).”
From Soft, smart contact lenses with integrations of wireless circuits, glucose sensors, and displays (2018) · cites this paper as [14]
Hydrogen peroxide is decomposed, producing oxygen, protons (H+ ion), and electrons.
“This hydrogen peroxide is also decomposed, producing oxygen, protons (H+ ion), and electrons (14, 16, 37).”
From Soft, smart contact lenses with integrations of wireless circuits, glucose sensors, and displays (2018) · cites this paper as [14]
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Cites
Measurement of the Elastic Properties and Intrinsic Strength of Monolayer Graphene
Lee, C., Wei, X., Kysar, J. W., & Hone, J. (2008) · Science · doi:10.1126/science.1157996 · Cited by 20,821 · see citing works
Large-Area Synthesis of High-Quality and Uniform Graphene Films on Copper Foils
Li, X., Cai, W., An, J., Kim, S., Nah, J., Yang, D., Piner, R. D., Velamakanni, A., Jung, I., Tutuc, E., et al. (2009) · Science · doi:10.1126/science.1171245 · Cited by 11,245 · see citing works
Large-scale pattern growth of graphene films for stretchable transparent electrodes
Kim, K., Zhao, Y., Jang, H., Lee, S., Kim, J. M., Kim, K. S., Ahn, J., Kim, P., Choi, J., & Hong, B. H. (2009) · Nature · doi:10.1038/nature07719 · Cited by 10,399 · see citing works
Self-citationFine Structure Constant Defines Visual Transparency of Graphene
Nair, R. R., Blake, P., Grigorenko, A. N., Novoselov, K. S., Booth, T. J., Stauber, T., Peres, N. M. R., & Geim, A. K. (2008) · Science · doi:10.1126/science.1156965 · Cited by 9,084 · see citing works
Kim, D.-H., Lu, N., Ma, R., Kim, Y.-S., Kim, R.-H., Wang, S., Wu, J., Won, S. M., Tao, H., Islam, A., et al. (2011) · Science · doi:10.1126/science.1206157 · Cited by 4,836 · see citing works
Self-citationSkin-like pressure and strain sensors based on transparent elastic films of carbon nanotubes
Lipomi, D. J., Vosgueritchian, M., Tee, B. C.-K., Hellstrom, S. L., Lee, J. A., Fox, C. H., & Bao, Z. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2011.184 · Cited by 3,188 · see citing works
Noncovalent sidewall functionalization of single-walled carbon nanotubes for protein immobilization
Chen, R. J., Zhang, Y., Wang, D., & Dai, H. (2001) · Journal of the American Chemical Society · doi:10.1021/ja010172b · Cited by 2,534 · see citing works
An ultra-lightweight design for imperceptible plastic electronics
Kaltenbrunner, M., Sekitani, T., Reeder, J., Yokota, T., Kuribara, K., Tokuhara, T., Drack, M., Schwödiauer, R., Graz, I., Bauer-Gogonea, S., et al. (2013) · Nature · doi:10.1038/nature12314 · Cited by 2,485 · see citing works
Multiplexed electrical detection of cancer markers with nanowire sensor arrays
Zheng, G., Patolsky, F., Cui, Y., Wang, W. U., & Lieber, C. M. (2005) · Nature Biotechnology · doi:10.1038/nbt1138 · Cited by 2,430 · see citing works
Piezoelectricity of single-atomic-layer MoS2 for energy conversion and piezotronics
Wu, W., Wang, L., Li, Y., Zhang, F., Lin, L., Niu, S., Chenet, D., Zhang, X., Hao, Y., Heinz, T. F., et al. (2014) · Nature · doi:10.1038/nature13792 · Cited by 2,287 · see citing works
Strong, Transparent, Multifunctional, Carbon Nanotube Sheets
Zhang, M., Fang, S., Zakhidov, A. A., Lee, S. B., Aliev, A. E., Williams, C. D., Atkinson, K. R., & Baughman, R. H. (2005) · Science · doi:10.1126/science.1115311 · Cited by 1,669 · see citing works
Enzyme-coated carbon nanotubes as single-molecule biosensors
Besteman, K., Lee, J.-O., Wiertz, F. G. M., Heering, H. A., & Dekker, C. (2003) · Nano Letters · doi:10.1021/nl034139u · Cited by 1,294 · see citing works
Nanowire active-matrix circuitry for low-voltage macroscale artificial skin
Takei, K., Takahashi, T., Ho, J. C., Ko, H., Gillies, A. G., Leu, P. W., Fearing, R. S., & Javey, A. (2010) · Nature Materials · doi:10.1038/nmat2835 · Cited by 1,274 · see citing works
Digital cameras with designs inspired by the arthropod eye
Song, Y. M., Xie, Y., Malyarchuk, V., Xiao, J., Jung, I., Choi, K.-J., Liu, Z., Park, H., Lü, C., Kim, R.-H., et al. (2013) · Nature · doi:10.1038/nature12083 · Cited by 1,148 · see citing works
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 · see citing works
A transparent electrode based on a metal nanotrough network
Wu, H., Kong, D., Ruan, Z., Hsu, P., Wang, S., Yu, Z., Carney, T. J., Hu, L., Fan, S., & Cui, Y. (2013) · Nature Nanotechnology · doi:10.1038/nnano.2013.84 · Cited by 956 · see citing works
A transparent bending-insensitive pressure sensor
Lee, S., Reuveny, A., Reeder, J., Lee, S., Jin, H., Liu, Q., Yokota, T., Sekitani, T., Isoyama, T., Abe, Y., et al. (2016) · Nature Nanotechnology · doi:10.1038/nnano.2015.324 · Cited by 833 · see citing works
Lee, M., Lee, K., Kim, S.-Y., Lee, H., Park, J., Kwang-hyuk, C., Kim, H.-K., Kim, D.-G., Lee, D.-Y., Nam, S., et al. (2013) · Nano Letters · doi:10.1021/nl401070p · Cited by 664 · see citing works
Self-citationGlucose 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
Large-area blown bubble films of aligned nanowires and carbon nanotubes
Yu, G., Cao, A., & Lieber, C. M. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.150 · Cited by 542 · see citing works
Chen, L. Y., Tee, B. C. K., Chortos, A., Schwartz, G., Tse, V., Lipomi, D. J., Wong, H. ‐. P., McConnell, M. V., & Bao, Z. (2014) · Nature Communications · doi:10.1038/ncomms6028 · Cited by 541 · see citing works
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 · 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
Lee, P., Ham, J., Lee, J., Hong, S., Han, S., Suh, Y. D., Lee, S. E., Yeo, J., Lee, S. S., Lee, D., et al. (2014) · Advanced Functional Materials · doi:10.1002/adfm.201400972 · Cited by 344 · see citing works
Wafer-scale design of lightweight and transparent electronics that wraps around hairs
Salvatore, G. A., Munzenrieder, N. S., Kinkeldei, T., Petti, L., Zysset, C., Strebel, I., Büthe, L., & Tröster, G. (2014) · Nature Communications · doi:10.1038/ncomms3982 · Cited by 317 · see citing works
Electronic skin: architecture and components
Wagner, S., Lacour, S. P., Jones, J., Hsu, P.-H. I., Sturm, J. C., Li, T., & Suo, Z. (2004) · Physica E Low-dimensional Systems and Nanostructures · doi:10.1016/j.physe.2004.06.032 · Cited by 309 · see citing works
Design and Performance of Thin Metal Film Interconnects for Skin-Like Electronic Circuits
Lacour, S. P., Jones, J., Suo, Z., & Wagner, S. (2004) · IEEE Electron Device Letters · doi:10.1109/led.2004.825190 · Cited by 260 · see citing works
First steps toward noninvasive intraocular pressure monitoring with a sensing contact lens
Leonardi, M., Leuenberger, P., Bertrand, D., Bertsch, A., & Renaud, P. (2004) · Investigative Opthalmology & Visual Science · doi:10.1167/iovs.04-0015 · Cited by 244 · see citing works
Synthesis of monolithic graphene–graphite integrated electronics
Park, J., Nam, S., Lee, M. S., & Lieber, C. M. (2011) · Nature Materials · doi:10.1038/nmat3169 · Cited by 236 · see citing works
Self-citationMansouri, K., & Shaarawy, T. M. (2011) · British Journal of Ophthalmology · doi:10.1136/bjo.2010.192922 · Cited by 230 · see citing works
Hu, W., Niu, X., Li, L., Yun, S., Yu, Z., & Pei, Q. (2012) · Nanotechnology · doi:10.1088/0957-4484/23/34/344002 · Cited by 191 · see citing works
Park, J., Kim, J., Kim, K., Kim, S.-Y., Cheong, W. H., Park, K., Song, J. H., Namgoong, G., Kim, J. J., Heo, J., et al. (2016) · Nanoscale · doi:10.1039/c6nr01468b · Cited by 185 · see citing works
Self-citationGlucose sensor based on organic thin film transistor using glucose oxidase and conducting polymer
Liu, J., Agarwal, M., & Varahramyan, K. (2008) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2008.08.009 · Cited by 183 · see citing works
Continuous 24-Hour Monitoring of Intraocular Pressure Patterns With a Contact Lens Sensor
Mansouri, K., Medeiros, F. A., Tafreshi, A., & Weinreb, R. N. (2012) · Archives of Ophthalmology · doi:10.1001/archophthalmol.2012.2280 · Cited by 180 · see citing works
An, B. W., Hyun, B. G., Kim, S.-Y., Kim, M., Lee, M., Lee, K., Koo, J. B., Chu, H. Y., Bae, B., & Park, J. (2014) · Nano Letters · doi:10.1021/nl502755y · Cited by 175 · see citing works
Self-citationKim, J., Lee, M., Jeon, S., Kim, M., Kim, S., Kim, K., Bien, F. D., Hong, S. Y., & Park, J. (2015) · Advanced Materials · doi:10.1002/adma.201500710 · Cited by 172 · see citing works
Self-citationPrintable Ultrathin Metal Oxide Semiconductor-Based Conformal Biosensors
Rim, Y. S., Bae, S., Chen, H., Yang, J. L., Kim, J., Andrews, A. M., Weiss, P. S., Yang, Y., & Tseng, H. (2015) · ACS Nano · doi:10.1021/acsnano.5b05325 · Cited by 151 · see citing works
Self-citationNoninvasive 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 · see citing works
Pankratov, D., González‐Arribas, E., Blum, Z., & Shleev, S. (2016) · Electroanalysis · doi:10.1002/elan.201501116 · Cited by 135 · see citing works
Capacitive contact lens sensor for continuous non-invasive intraocular pressure monitoring
Chen, G.-Z., Chan, I.-S., & Lam, D. C. C. (2013) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2013.08.029 · Cited by 133 · see citing works
Scalable high lead-count parylene package for retinal prostheses
Rodger, D. C., Weiland, J. D., Humayun, M. S., & Tai, Y.-C. (2006) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2005.11.010 · Cited by 96 · see citing works
Welch, M., Doublet, T., Bernard, C., et al. (2014) · Journal of Polymer Science Part A Polymer Chemistry · doi:10.1002/pola.27392 · Cited by 74 · see citing works
Design of microstrip‐fed proximity‐coupled conducting‐polymer patch antenna
Rmili, H., Miane, J., Zangar, H., & Olinga, T. E. (2006) · Microwave and Optical Technology Letters · doi:10.1002/mop.21435 · Cited by 68 · see citing works
Noninvasive Continuous Monitoring of Tear Glucose Using Glucose‐Sensing Contact Lenses
Ascaso, F. J., & Huerva, V. (2015) · Optometry and Vision Science · doi:10.1097/opx.0000000000000698 · Cited by 67 · see citing works
Error in PubMed in: Global Burden of Visual Impairment and Blindness
Bourne, R., Price, H., Stevens, G., et al. (2012) · Archives of Ophthalmology · doi:10.1001/jamaophthalmol.2013.1350 · Cited by 61 · see citing works
Graphene-Based Wireless Environmental Gas Sensor on PET Substrate
Na, K., Ma, H., Park, J., et al. (2016) · IEEE Sensors Journal · doi:10.1109/jsen.2016.2531121 · Cited by 36 · see citing works
Self-citationThe future of smart glasses: An essay about challenges and possibilities with smart glasses
Due, B. L. (2014) · Research at the University of Copenhagen (University of Copenhagen) · Cited by 28 · see citing works
Hydrophilic Organic Electrodes on Flexible Hydrogels
Moser, T., Celma, C., Lebert, A., Charrault, E., Brooke, R., Murphy, P., Browne, G., Young, R., Higgs, T., & Evans, D. (2015) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.5b10831 · Cited by 27 · see citing works
Can Sensors Make a Home in the Body?
Service, R. F. (2002) · Science · doi:10.1126/science.297.5583.962 · Cited by 21 · 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
Self-citationYang, J. C., Mun, J., Kwon, S. Y., Park, S., Bao, Z., & Park, S. (2019) · Advanced Materials · doi:10.1002/adma.201904765 · Cited by 1,641 · see citing works
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 · see citing works
Wearable and flexible electronics for continuous molecular monitoring
Yang, Y., & Gao, W. (2019) · Chemical Society Reviews · doi:10.1039/c7cs00730b · Cited by 1,315 · see citing works
Whitesides, G. M. (2018) · Angewandte Chemie International Edition · doi:10.1002/anie.201800907 · Cited by 850 · see citing works
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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 · see citing works
Self-citationWearables and the Medical Revolution
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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
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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 · see citing works
Wang, M., Luo, Y., Wang, T., Wan, C., Pan, L., Pan, S., He, K., Neo, A., & Chen, X. (2021) · Advanced Materials · doi:10.1002/adma.202003014 · Cited by 451 · see citing works
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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 · see citing works
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Artificial intelligence biosensors: Challenges and prospects
Jin, X., Liu, C., Xu, T., Su, L., & Zhang, X. (2020) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2020.112412 · Cited by 399 · see citing works
Energy autonomous electronic skin
García Núñez, C., Manjakkal, L., & Dahiya, R. (2019) · npj Flexible Electronics · doi:10.1038/s41528-018-0045-x · Cited by 332 · see citing works
Wireless battery-free body sensor networks using near-field-enabled clothing
Lin, R., Kim, H.-J., Achavananthadith, S., Kurt, S. A., Tan, S. C. C., Yao, H., Tee, B. C. K., Lee, J. K. W., & Ho, J. S. (2020) · Nature Communications · doi:10.1038/s41467-020-14311-2 · Cited by 331 · see citing works
Eyeglasses-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 · see citing works
Wang, C., He, T., Zhou, H., Zhang, Z., & Lee, C. (2023) · Bioelectronic Medicine · doi:10.1186/s42234-023-00118-1 · Cited by 295 · see citing works
Li, X., Huang, X., Mo, J., Wang, H., Huang, Q., Yang, C., Zhang, T., Chen, H., Hang, T., Liu, F., et al. (2021) · Advanced Science · doi:10.1002/advs.202100827 · Cited by 250 · see citing works
Jinno, H., Yokota, T., Koizumi, M., Yukita, W., Saito, M., Osaka, I., Fukuda, K., & Someya, T. (2021) · Nature Communications · doi:10.1038/s41467-021-22558-6 · Cited by 253 · see citing works
Hong, Y. J., Lee, H., Kim, J., Lee, M., Choi, H. J., Hyeon, T., & Kim, D. (2018) · Advanced Functional Materials · doi:10.1002/adfm.201805754 · Cited by 229 · see citing works
Self-citationHerbert, R., Kim, J.-H., Kim, Y., Lee, H., & Yeo, W.-H. (2018) · Materials · doi:10.3390/ma11020187 · Cited by 220 · see citing works
Self-citationBiomolecular sensors for advanced physiological monitoring
Flynn, C. D., Chang, D., Mahmud, A., Yousefi, H., Das, J., Riordan, K. T., Sargent, E. H., & Kelley, S. O. (2023) · Nature Reviews Bioengineering · doi:10.1038/s44222-023-00067-z · Cited by 226 · see citing works
Pullano, S. A., Greco, M., Bianco, M. G., Foti, D., Brunetti, A., & Fiorillo, A. S. (2022) · Theranostics · doi:10.7150/thno.64035 · Cited by 210 · see citing works
Nanofabrication for all-soft and high-density electronic devices based on liquid metal
Kim, M.-G., Brown, D. K., & Brand, O. (2020) · Nature Communications · doi:10.1038/s41467-020-14814-y · Cited by 186 · see citing works
Self-citationFlexible Plasmonic Biosensors for Healthcare Monitoring: Progress and Prospects
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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 · see citing works
Recent advances in noninvasive flexible and wearable wireless biosensors
Salim, A., & Lim, S. (2019) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2019.111422 · Cited by 153 · see citing works
Hong, S. Y., Oh, J. H., Park, H., Yun, J. Y., Jin, S. W., Sun, L., Zi, G., & Ha, J. S. (2017) · NPG Asia Materials · doi:10.1038/am.2017.194 · Cited by 117 · see citing works
A Noninvasive Glucose Monitoring SoC Based on Single Wavelength Photoplethysmography
Hina, A., & Saadeh, W. (2020) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2020.2979514 · Cited by 99 · see citing works
Yang, B., Kong, J., & Fang, X. (2019) · Talanta · doi:10.1016/j.talanta.2019.06.031 · Cited by 83 · see citing works
Cheng, S., Gu, Z., Zhou, L., Hao, M., An, H., Song, K., Wu, X., Zhang, K., Zhao, Z., Dong, Y., et al. (2021) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2021.765987 · Cited by 64 · see citing works
Song, H., Kim, M., Kim, E., Lee, J., Jeong, I., Lim, K., Ryu, S. Y., Oh, M., Kim, Y., & Park, J. (2024) · BMEMat · doi:10.1002/bmm2.12048 · Cited by 61 · see citing works
Self-citationWearable 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
- Kim, J., Kim, M., Lee, M.-S., Kim, K., Ji, S., Kim, Y.-T., Park, J., Na, K., Bae, K.-H., Kyun Kim, H., Bien, F., Young Lee, C., & Park, J.-U.
- Affiliations
- Ulsan National Institute of Science and Technology (KR)
- Kyungpook National University (KR)
- Corresponding author
- Park, Jihun
- Bien, Franklin
- Park, Jang-Ung
- ORCID
- Venue
- Nature Communications
- Published
- 2017-04-27
- Volume
- 8
- Issue
- 1
- Pages
- 14997-14997
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC5414034
- OpenAlex
- W2609205766
- Cited by
- 951
- References
- 49
- Citations by year
- 2026: 62 · 2025: 95 · 2024: 104 · 2023: 133 · 2022: 111 · 2021: 140 · 2020: 112 · 2019: 103 · 2018: 70 · 2017: 21
- FWCI
- 37.69
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Scholarworks@UNIST (Ulsan National Institute of Science and Technology) (submittedVersion, cc-by)
- Funders
- CooperVision
- National Research Foundation (2016R1A2B3013592, 2016R1A5A1009926)
- Ulsan National Institute of Science and Technology (1.150090.01)
- Ministry of Trade, Industry and Energy (2015M3A7B4050308, 10044410, 2016R1A5A1009926)
- Korea Institute of Machinery and Materials (SC0970)
- 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 › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Keywords
- intraocular pressure measurement, multifunctional biosensors
- MeSH terms
- Wearable Electronic Devices, Animals, Cattle, Contact Lenses, Hydrophilic, Eye, Glaucoma, Glucose, Humans, Intraocular Pressure, Monitoring, Physiologic, Rabbits, Sensitivity and Specificity, Tears, Vision, Ocular, Biosensing Techniques
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