Printed Circuits in Bioprinted Tissue for Self-Powered Health Monitoring
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Solution Overview
Problem
Existing bioprinting technologies lack effective methods for real-time monitoring and tracking the health status and compatibility of transplanted artificial organic components in a host, necessitating consistent and continual performance assessment.
Innovation Solution
Incorporation of self-powered printed circuits within multi-layered artificial cells during bioprinting, utilizing piezoelectric chips to generate power from natural tissue movement for monitoring performance and compatibility, with a workflow sequence managed by a circuit management program.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If bioprinting processes are used to create artificial organic components, then the components can be transplanted into a host, but there is no effective method for real-time monitoring and tracking the health status and compatibility of the transplanted components
Solution Approach 1:
The patent merges the bioprinting process with electronic circuit printing to create a unified system. Printed circuits are integrated directly into the artificial organic components during the bioprinting process, combining structural fabrication with monitoring functionality in a single manufacturing step. This eliminates the need for separate monitoring system installation and reduces overall system complexity.
Solution Approach 2:
The artificial organic components are equipped with self-powered printed circuits that autonomously monitor their own health status and compatibility metrics. The circuits harvest energy from the biological environment and automatically track performance parameters, eliminating the need for external power sources or manual monitoring interventions.
2Productivity
If printed circuits are incorporated within artificial cells during bioprinting, then continuous monitoring of transplanted components is enabled, but the device complexity increases
Solution Approach 1:
The monitoring circuits are printed and integrated into the artificial organic components during the initial bioprinting process, before transplantation. This preliminary integration ensures that monitoring functionality is built-in from the start, eliminating the need for post-implantation modifications or complex surgical procedures to install monitoring systems.
Solution Approach 2:
The printed circuits serve multiple functions simultaneously: they provide structural support within the artificial cells, harvest energy from the biological environment, monitor health status parameters, and track compatibility metrics. This multi-functionality reduces the need for separate dedicated monitoring devices and simplifies the overall system architecture.
3Loss of information
If self-powered printed circuits are used to generate power from natural tissue movement, then performance and compatibility metrics can be monitored, but the manufacturing precision requirements increase
Solution Approach 1:
The patent utilizes changes in the mechanical and electrical parameters of the printed circuits in response to tissue movement. The circuits are designed to convert mechanical deformation from natural tissue movement into electrical energy and signal variations, allowing performance metric tracking without requiring ultra-precise circuit placement. The parameter changes themselves become the measurement mechanism.
Solution Approach 2:
The system recovers energy and information from the natural movement of tissues that would otherwise be lost or unused. The printed circuits harvest mechanical energy from tissue deformation and convert it into electrical power for monitoring operations, while simultaneously using the movement-induced signal changes to track performance metrics. This approach tolerates variations in circuit placement precision.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables continuous and accurate monitoring of transplanted organic components, providing performance and compatibility metrics through signal analysis and generating recommendations for potential adjustments.
Implementation Method 1
The printed circuits can include one or more piezoelectric chips that generate and supply electric power, based on movement of artificial and natural tissue
Data Source
AI summary
A tool for movement sequence analysis utilizing printed circuits. The tool determines a workflow sequence based, at least in part, on one or more printed circuits within a printed organic component. The tool activates the workflow sequence utilizing applied external stimuli on the one or more printed circuits. Responsive to activating the workflow sequence, the tool analyzes a signal response from the one or more printed circuits. The tool generates one or more printing recommendations based, at least in part, on the signal response analysis.