Department of Bioengineering, University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA.
Enlisense LLC, 1813 Audubon Pond Way, Allen, TX 75013, USA.
Biosens Bioelectron. 2018 Oct 15;117:537-545. doi: 10.1016/j.bios.2018.06.065. Epub 2018 Jun 30.
Wearable- IOT based low- cost platforms can enable dynamic lifestyle monitoring through enabling promising and exciting opportunities for wellness and chronic- disease management in personalized environments. Diabetic and pre- diabetic populations can modulate their alcohol intake by tracking their glycemic content continuously to prevent health risks through these platforms. We demonstrate the first technological proof of a combinatorial biosensor for continuous, dynamic monitoring of alcohol and glucose in ultra- low volumes (1-5 µL) of passive perspired sweat towards developing a wearable- IOT based platform. Non-invasive biosensing in sweat is achieved by a unique gold- zinc oxide (ZnO) thin film electrode stack fabricated on a flexible substrate suitable for wearable applications. The active ZnO sensing region is immobilized with enzyme complexes specific for the detection of alcohol and glucose through non- faradaic electrochemical impedance spectroscopy (EIS) and chronoamperometry (CA). Biomolecular interactions occurring at the electrode- sweat interface are represented by the impedance and capacitive current changes in response to charge modulations arising in the double layer. We also report the detection of alcohol concentrations of 0.01-100 mg/dl and glucose concentrations of 0.01-50 mg/dl present in synthetic sweat and perspired human sweat. The limit of detection obtained for alcohol and glucose was found to be 0.1 mg/dl in perspired human sweat. Cross- reactivity studies revealed that glucose and alcohol did not show any signal response to cross- reactive molecules. Furthermore, the stable temporal response of the combinatorial biosensor on continuous exposure to passive perspired human sweat spiked with alcohol and glucose over a 120-min duration was demonstrated.
基于可穿戴物联网的低成本平台可以通过在个性化环境中为健康和慢性病管理提供有前途和令人兴奋的机会,从而实现动态生活方式监测。糖尿病和糖尿病前期患者可以通过持续跟踪血糖含量来控制饮酒量,从而通过这些平台预防健康风险。我们展示了用于连续、动态监测超低体积(1-5 µL)无源汗液中酒精和葡萄糖的组合生物传感器的第一个技术证据,朝着开发基于可穿戴物联网的平台的方向发展。通过在柔性基底上制造的独特金-氧化锌 (ZnO) 薄膜电极堆叠,实现了对汗液的非侵入式生物传感,该基底适合可穿戴应用。通过非法拉第电化学阻抗谱 (EIS) 和计时安培法 (CA) 将酶复合物固定在活性 ZnO 传感区域,用于检测酒精和葡萄糖。在电极-汗液界面处发生的生物分子相互作用由双电层中电荷调制引起的阻抗和电容电流变化来表示。我们还报告了在合成汗液和人汗中检测到的 0.01-100 mg/dl 酒精浓度和 0.01-50 mg/dl 葡萄糖浓度。在人汗中检测到的酒精和葡萄糖的检测限为 0.1 mg/dl。交叉反应性研究表明,葡萄糖和酒精对交叉反应性分子没有任何信号响应。此外,还证明了组合生物传感器在连续暴露于含有酒精和葡萄糖的无源人汗中 120 分钟期间的稳定时间响应。