Department of Biomedical Devices and Instrumentation, Institute of Biomaterials and Bioengineering, Tokyo Medical and Dental University, 2-3-10, Kanda-Surugadai, Chiyoda-ku, Tokyo 101-0062, Japan.
Faculty of Medicine, Imperial College of London, South Kensington Campus London SW7 2AZ, UK.
Biosens Bioelectron. 2016 Oct 15;84:106-11. doi: 10.1016/j.bios.2015.12.014. Epub 2015 Dec 11.
We develop detachable "Cavitas sensors" to apply to the human oral cavity for non-invasive monitoring of saliva glucose. A salivary biosensor incorporating Pt and Ag/AgCl electrodes on a mouthguard support with an enzyme membrane is developed and tested. Electrodes are formed on the polyethylene terephthalate glycol (PETG) surface of the mouthguard. The Pt working electrode is coated with a glucose oxidase (GOD) membrane. The biosensor seamlessly is integrated with a glucose sensor and a wireless measurement system. When investigating in-vitro performance, the biosensor exhibits a robust relationship between output current and glucose concentration. In artificial saliva composed of salts and proteins, the glucose sensor is capable of highly sensitive detection over a range of 5-1000µmol/L of glucose, which encompasses the range of glucose concentrations found in human saliva. We demonstrate the ability of the sensor and wireless communication module to monitor saliva glucose in a phantom jaw imitating the structure of the human oral cavity. Stable and long-term real-time monitoring (exceeding 5h) with the telemetry system is achieved. The mouthguard biosensor will be useful as a novel method for real-time non-invasive saliva glucose monitoring for better management of dental patients.
我们开发了可拆卸的“腔传感器”，将其应用于人体口腔，实现对唾液葡萄糖的非侵入式监测。我们开发并测试了一种在口腔防护器支撑物上集成 Pt 和 Ag/AgCl 电极以及酶膜的唾液生物传感器。电极形成在口腔防护器的聚对苯二甲酸乙二醇酯（PETG）表面上。Pt 工作电极涂覆有葡萄糖氧化酶（GOD）膜。生物传感器与葡萄糖传感器和无线测量系统无缝集成。在体外性能研究中，生物传感器的输出电流与葡萄糖浓度之间表现出稳健的关系。在由盐和蛋白质组成的人工唾液中，葡萄糖传感器能够在 5-1000µmol/L 的葡萄糖范围内进行高灵敏度检测，该范围涵盖了人类唾液中葡萄糖浓度的范围。我们展示了传感器和无线通信模块在模仿人体口腔结构的幻影颌中监测唾液葡萄糖的能力。通过遥测系统实现了稳定且长期的实时监测（超过 5 小时）。口腔防护器生物传感器将成为一种实时非侵入式唾液葡萄糖监测的新方法，有助于更好地管理牙科患者。
