Park, Wonjung Seo, Hunkyu Kim, Jeongho Hong, Yeon-Mi Song, Hayoung Joo, Byung Jun Kim, Sumin Kim, Enji Yae, Che-Gyem Kim, Jeonghyun Jin, Jonghwa Kim, Joohee Lee, Yong-ho Kim, Jayoung Kim, Hong Kyun Park, Jang-Ung 2024-04-04T05:30:34Z 2024-04-04T05:30:34Z 2024-04-04 2024-04 https://pubs.kist.re.kr/handle/201004/149586 Tears have emerged as a promising alternative to blood for diagnosing diabetes. Despite increasing attempts to measure tear glucose using smart contact lenses, the controversy surrounding the correlation between tear glucose and blood glucose still limits the clinical usage of tears. Herein, we present an in-depth investigation of the correlation between tear glucose and blood glucose using a wireless and soft smart contact lens for continuous monitoring of tear glucose. This smart contact lens is capable of quantitatively monitoring the tear glucose levels in basal tears excluding the effect of reflex tears which might weaken the relationship with blood glucose. Furthermore, this smart contact lens can provide an unprecedented level of continuous tear glucose data acquisition at sub-minute intervals. These advantages allow the precise estimation of lag time, enabling the establishment of the concept called ‘personalized lag time’. This demonstration considers individual differences and is successfully applied to both non-diabetic and diabetic humans, as well as in animal models, resulting in a high correlation. English Nature Publishing Group In-depth correlation analysis between tear glucose and blood glucose using a wireless smart contact lens Article 10.1038/s41467-024-47123-9 1 Nature Communications, v.15, no.1 Nature Communications 15 1 Y scie scopus 001255499100019 Multidisciplinary Sciences Science & Technology - Other Topics Article NONINVASIVE DETECTION BIOSENSOR SENSOR FLUID