2011
DOI: 10.1007/978-3-642-23508-5_262
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Development of a Soft Contact-Lens Biosensor for In-vivo Tear Glucose Monitoring

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Cited by 2 publications
(3 citation statements)
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“…These results provide not only an alternative solution for manufacturing advanced smart contact lenses but also a novel insight into designing other multifunctional implantable bioelectronics. In addition, our integrated contact lens sensor system and fabrication strategy allows for incorporation of other functional components, such as electrode arrays for electroretinograms, 36 , 37 antennas for wireless communication 25 , 26 , 27 and power modules (e.g., thin-film batteries/supercapacitors), 100 , 101 , 102 biofuel cells, 103 moisture-based energy harvesting, 104 or wireless radiofrequency 105 for future in vivo research.…”
Section: Resultsmentioning
confidence: 99%
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“…These results provide not only an alternative solution for manufacturing advanced smart contact lenses but also a novel insight into designing other multifunctional implantable bioelectronics. In addition, our integrated contact lens sensor system and fabrication strategy allows for incorporation of other functional components, such as electrode arrays for electroretinograms, 36 , 37 antennas for wireless communication 25 , 26 , 27 and power modules (e.g., thin-film batteries/supercapacitors), 100 , 101 , 102 biofuel cells, 103 moisture-based energy harvesting, 104 or wireless radiofrequency 105 for future in vivo research.…”
Section: Resultsmentioning
confidence: 99%
“… 24 Smart contact lenses equipped with high sensitivity glucose sensors could open the possibility of a non-invasive method to continuously detect biomarkers in tears. 25 , 26 , 27 , 28 , 29 Owing to the abundant proteins or biomarkers from tear fluid, smart contact lenses are expected to provide higher accuracy/reliability of the resulting data in comparison with the analyses from skin or sweat by other conventional wrist-worn watches or smart patches. Although controversy may remain, recent studies have shown that the blood glucose concentrations estimated with the tear glucose concentrations obtained by glucose sensors exhibit a high correlation with those actually measured with a clinically available glucometer (R 2 = 0.9617).…”
Section: Introductionmentioning
confidence: 99%
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