Advanced Functional Materials · 2020 · 85 citations · 31 references
EngineeringBioengineeringBiomedical EngineeringBiomaterialsBiosensorsSensorsBiomedical SensorsImplantable Biomedical DevicesIntracranial PressureIntracranial Pressure MonitoringPressure DistributionPressure SensorsBlood Pressure MonitoringEncapsulation MaterialsIntracranial Pressure Monitoring DevicesLifetimesNoninvasive Intracranial Pressure MonitoringPressure MonitoringPressure SensingSilicon
Abstract Pressures in the intracranial, intraocular, and intravascular spaces are important parameters in assessing patients with a range of conditions, of particular relevance to those recovering from injuries or from surgical procedures. Compared with conventional devices, sensors that disappear by natural processes of bioresorption offer advantages in this context, by eliminating the costs and risks associated with retrieval. A class of bioresorbable pressure sensor that is capable of operational lifetimes as long as several weeks and physical lifetimes as short as several months, as combined metrics that represent improvements over recently reported alternatives, is presented. Key advances include the use of 1) membranes of monocrystalline silicon and blends of natural wax materials to encapsulate the devices across their top surfaces and perimeter edge regions, respectively, 2) mechanical architectures to yield stable operation as the encapsulation materials dissolve and disappear, and 3) additional sensors to detect the onset of penetration of biofluids into the active sensing areas. Studies that involve monitoring of intracranial pressures in rat models over periods of up to 3 weeks demonstrate levels of performance that match those of nonresorbable clinical standards. Many of the concepts reported here have broad applicability to other classes of bioresorbable technologies.
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A Physically Transient Form of Silicon Electronics
Suk‐Won Hwang, Hu Tao, Dae‐Hyeong Kim et al. · Science · 2012 · 1.3K citations · Full text
Bioresorbable silicon electronic sensors for the brain
Seung‐Kyun Kang, Rory K. J. Murphy, Suk‐Won Hwang et al. · Nature · 2016 · 983 citations