Implantable electrocatalytic glucose sensor

Biomolecular sensors for advanced physiological monitoring

Body-based biomolecular sensing systems, including wearable, implantable and consumable sensors allow comprehensive health-related monitoring. Glucose sensors have long dominated wearable bioanalysis applications owing to their robust continuous detection of glucose, which has not yet been achieved for other biomarkers. However, access to diverse biological fluids and the development of reagentless sensing approaches may enable the design of body-based sensing systems for various analytes. Importantly, enhancing the selectivity and sensitivity of biomolecular sensors is essential for biomarker detection in complex physiological conditions. In this Review, we discuss approaches for the signal amplification of biomolecular sensors, including techniques to overcome Debye and mass transport limitations, and selectivity improvement, such as the integration of artificial affinity recognition elements. We highlight reagentless sensing approaches that can enable sequential real-time measurements, for example, the implementation of thin-film transistors in wearable devices. In addition to sensor construction, careful consideration of physical, psychological and security concerns related to body-based sensor integration is required to ensure that the transition from the laboratory to the human body is as seamless as possible.

Accuracy of the one-point in vivo calibration of "wired" glucose oxidase electrodes implanted in jugular veins of rats in periods of rapid rise and decline of the glucose concentration

The hypothesis of the feasibility of one-point in vivo calibration of intravenously implanted glucose sensors during periods of rapid rise and decline of venous blood glucose concentration was tested. Miniature (5 x 10(-4) cm2 mass transporting area) glucose electrodes with 10-90% response times < 2 min, that did not consume oxygen, were implanted in jugular veins of systemically heparinized rats and used in 4-h experiments, during which the blood glucose concentration was amperometrically monitored. The glucose electrodes were made by electrically connecting ("wiring") reaction centers of glucose oxidase through an electron-conducting redox hydrogel to gold electrode surfaces. The redox polymer and enzyme constituting the electrode sensing layer were immobilized by cross-linking, and thus the electrodes had no diffusional and readily leached redox mediator. One hour after their implantation, the electrodes accurately tracked the blood glucose concentration when calibrated in vivo by a one-point calibration, when the glucose concentration was steady, when rising rapidly, and when declining steeply. For an assumed 2-min lag time, the sensor readings were well correlated with the true blood glucose concentrations, with linear regression analysis yielding a slope of 0.97 +/- 0.07 and an intercept (bias) of 0.3 +/- 0.3 mM. The correlation coefficient, r2, was 0.949 +/- 0.020, and the percent difference through the 2-22 mM range was 1.9 +/- 1.0%. The results suggest that, in combination with understanding and modeling of transient physiological differences between the subcutaneous and the blood glucose concentrations, it will be possible to calibrate by one-point in vivo calibration subcutaneously implanted sensors, even while the glucose concentration changes rapidly.

Methodological aspects of glucose monitoring with a slow continuous subcutaneous and intravenous ultrafiltration system in rats

A method for the continuous ultrafiltration of venous blood or subcutaneous fluid is demonstrated with glucose monitoring in the living rat. Ultrafiltrate was withdrawn at a constant flow rate of approximately 100 nl/min. Glucose content of the ultrafiltrates was electrochemically determined with a flow injection analysis method and a bi-enzyme reactor. After glucose loading, the time course of glucose in the ultrafiltrate from the jugular vein was virtually identical, whereas that from the subcutaneous compartment was attenuated and the peaks blunted as compared to glucose levels in concomitantly assayed arterial blood. Our study demonstrates the potential of low rate ultrafiltration for monitoring metabolism with biosensor technology in vivo.