Research

Surface Acoustic Wave 

Nanotechnology

Gas Sensor

Internet of Things

Machine Learning

Flexible electronics are becoming a highly promising technology with various applications, including tattoo sensors and the evolving lab-on-skin devices, which closely mimic the properties of skin. While there has been much research on tattoo sensors for measuring physical parameters and detecting biochemical substances, very little has focused on detecting uric acid in sweat. This project aims to explore the use of flexible tattoo sensors to detect uric acid, helping to fill this gap. By enhancing the sensor with nanostructured materials, we hope to improve its sensitivity and allow it to detect changes in resistance when exposed to uric acid. This research aligns with Malaysia's efforts to support advancements in IoT, micro and nano technologies, and could open new doors for small medical devices that continuously monitor health conditions like uric acid levels

In recent years, flexible electronics have become a promising technology for a variety of applications. The main components of a SAW device are the piezoelectric film and the interdigital transducer (IDT). Both conventional and flexible SAW devices are fabricated using the same methods. Since the piezoelectric layer is crucial for the SAW device's performance, I proposed three deposition techniques to apply ZnO thin films onto flexible substrates. The deposition method I used was RF Sputtering, and I examined the morphology of the ZnO films using FeSEM and AFM. The results showed that this technique successfully grew the desired ZnO thin film on a polyimide substrate, with a strong C-axis orientation and good adhesion. With the ZnO film in place, I proceeded to deposit the silver IDT using inkjet printing. I then investigated how the flexible IDT and piezoelectric thin film affected the electrical performance. The findings revealed that the frequency shift of the flexible SAW sensor increased when it was in a convex position compared to when it was in concave or flat positions. Additionally, the sensor achieved a sensitivity of 1324.24 when bent at a 0.2 μm radius.

As someone who's always excited about new possibilities, I'm really interested in venturing into new areas to combine with sensor technology. One idea that really excites me is integrating sensors with IoT (Internet of Things) to create smarter, connected devices that can monitor and respond to real-time data. Another exciting area is combining sensors with AI, which could lead to predictive analytics and advanced automation. I’m also fascinated by the potential of merging sensor technology with biotechnology, especially in healthcare, where it could enable more precise diagnostics and personalized treatments. I’m confident that collaborating with the experts in this research group will allow us to make significant advancements in our field. Exploring these new directions could lead to some amazing innovations!

Link: CNetS