Controlling Nanostructure in Inkjet Printed Organic Transistors for Pressure Sensing Applications

This work reports the development of a highly sensitive pressure detector prepared by inkjet printing of electroactive organic semiconducting materials. The pressure sensing is achieved by incorporating a quantum tunnelling composite material composed of graphite nanoparticles in a rubber matrix into the multilayer nanostructure of a printed organic thin film transistor. This printed device was able to convert shock wave inputs rapidly and reproducibly into an inherently amplified electronic output signal. Variation of the organic ink material, solvents, and printing speeds were shown to modulate the multilayer nanostructure of the organic semiconducting and dielectric layers, enabling tuneable optimisation of the transistor response. The optimised printed device exhibits rapid switching from a non-conductive to a conductive state upon application of low pressures whilst operating at very low source-drain voltages (0-5 V), a feature that is often required in applications sensitive to stray electromagnetic signals but is not provided by conventional inorganic transistors and switches. The printed sensor also operates without the need for any gate voltage bias, further reducing the electronics required for operation. The printable low-voltage sensing and signalling system offers a route to simple low-cost assemblies for secure detection of stimuli in highly energetic systems including combustible or chemically sensitive materials.

Automated summary

This study presents a highly sensitive pressure detector developed through inkjet printing of electroactive organic semiconducting materials, capable of rapidly converting shock wave inputs into amplified electronic signals. By optimizing the transistor response through variation of materials, solvents, and printing speeds, the printed device can quickly switch from non-conductive to conductive states at low voltages. The printed sensor operates without the need for gate voltage bias, offering a simple and low-cost solution for detecting stimuli in highly energetic systems.