Periodic Reporting for period 2 - Robust OTFT sensors (Ultra-robust, flexible organic sensors for application in lactic acid sensing and selective biosensing)
Reporting period: 2018-07-01 to 2019-06-30
- One example is the development of sweat sensors for constant monitoring of patients' cortisol concentration which is indicative of their psychological health and varies greatly between patients and throughout the day. Cortisol is linked to psychological illnesses such as depression and a constant monitoring can allow for a targeted and personalized treatment with targeted drug delivery. So far this constant monitoring is not possible since tests can only be done in a laboratory.
- Another example is the use of biosensors for the screening for DNA/RNA for a fast detection and screening of cancer. An array of biosensors could greatly simplify the tests making it more viable and easier to test a larger number of patients at a higher frequency
The objective of this project is the development of a sensors architecture that can be produced cheaply and can be modified for targeted sensing of the above-mentioned analytes (cortisol, RNA etc.). Here the main goal is to develop a platform that exhibits long time stability such that it can record and monitor small signals induced by the binding of a bio-molecule reliably over the course of days. For some applications such as cortisol sensing it is furthermore desirable to have the sensor in close contact witht he human skin (i.e. for skin patches that can monitor the concentration of an analyte over the course of hours or even days) and therefore it is desirable to make the architecture flexible and if possible, stretchable.
Conclusion of the action: Over the course of the action, a new sensor was developed that can reliably sense biomarkers which are relevant for long-term health monitoring applications. It was possible to develop a new transistor-based sensor, that is showing stable operation in biological solutions and detect small concentrations of sample biomarkers reliably and selectively (The latter is a great challenge in the field of biosensing). The new architecture opens up a range of possibilities for the use in human healthcare, monitoring of health conditions (such as detecting, and monitoring biomarkers associated with depression) and has the potential to be used to record vital signs (such as in ECG electrodes).
During the return phase, the architecture has been further optimized and a range of stability and reliability checks have been conducted. The architecture is now capable of reliably detecting biomarkers in various environments with a sensitivity of 1mV. The next step represents the use of the designed architecture for the sensing of cortisol, which is currently done in continous cooperation with Stanford University. The results achieved thus far, are currently being prepared for publication. Further follow up results based on the designed architecture are expected over the next years.
Update at the end of the project: It has been possible to design and optimize a new, flexible biosensing architecture that is selective only to specific analytes. This has been a substantial challenge so far, as most current generation sensors are limited in their selectivity. This is because these devices are sensitive to influences other than those that should be detected (such as a change in the buffer conditions of a solution or biological liquid such as sweat or blood). The sensor developed in this project is only responsive to capacitance changes caused by the binding of a charged analyte but does not respond to any other influences. This could be demonstrated reliably towards the end of the action. The architecture furthermore, shows record stability and does not degrade even over extended periods of several days/weeks. This is enabled by combining a new ionic dielectric layer with a highly stable semiconductor and an entirely newly developed architecture. As such, the reported design exceeds the current state-of-the art devices in both their selectivity as well as stability and can directly be used in on-skin applications such as sweat sensing. This will enable new opportunities in health monitoring of biomarkers and disease agents in the future. Additionally, there is scope for developing this sensor into a new type of ECG electrode which can monitor vital signs far more accurately than the state of the art. This will form the scope of a follow-up project of the action.