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A wireless, battery-free microneedle patch with light-cured swellable hydrogel for minimally-invasive glucose detection

材料科学 葡萄糖氧化酶 生物医学工程 自愈水凝胶 纳米技术 明胶 生物传感器 医学 高分子化学 化学 生物化学
作者
Wei Yue,Yunjian Guo,Jiakang Wu,Enkhzaya Ganbold,Nagendra Kumar Kaushik,Apurva Jaiswal,Yu Nannan,Yan Wang,Yifeng Lei,Byeolnim Oh,Hyun Soo Kim,Young Kee Shin,Jun‐Ge Liang,Eun‐Seong Kim,Nam‐Young Kim
出处
期刊:Nano Energy [Elsevier]
卷期号:131: 110194-110194 被引量:11
标识
DOI:10.1016/j.nanoen.2024.110194
摘要

The escalating global prevalence of diabetes necessitates the development of advanced diagnostic methodologies that are both minimally invasive and devoid of discomfort. This study introduces a wireless battery-free passive microneedle patch with CMC-pHEA GelMA-GOx (CMC: sodium carboxymethyl cellulose; pHEA: polyethylene glycol diacrylate, 2-hydroxyethyl acrylate; GelMA: gelatin methacryloyl; GOx: glucose oxidase) light-cured swellable hydrogel for minimally-invasive glucose detection. The core of this technology combines microneedle with Radio-Frequency (RF) coupling detection, achieving extraction capacity; the microneedle lies in the use of composite hydrogel composed of a freeze-dried CMC-pHEA nanogel and GelMA-GOx, specifically fabricated to be selectively glucose-responsive through cross-linking with glucose oxidase. Upon exposure to interstitial fluid, the hydrogel microneedles swell in proportion to the glucose concentration, enabling glucose binding and facilitating the detection process. A flexible antenna, which is integral to the microneedle substrate as a passive sensing component, detects changes in the swelling of the hydrogel; these are reflected in the RF parameters (frequency, magnitude) variations, which are directly correlated with glucose levels. Furthermore, the results are near field wirelessly detected through a reading coil, simplifying sensing patch configurations. This method not only integrates the glucose monitoring process by combining extraction and detection into a single step but also enhances patient comfort. The platform's sensitivity, specificity, and minimal invasiveness make it a promising tool for diabetes management and continuous glucose monitoring. By demonstrating the successful application of RF technology in wireless sensing applications, this study paves the way for advanced, user-friendly glucose monitoring solutions.
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