A highly
sensitive and flexible gas sensor that can detect a wide
range of chemicals is crucial for wearable applications. However,
conventional single resistance-based flexible sensors face challenges
in maintaining chemical sensitivity under mechanical stress and can
be affected by interfering gases. This study presents a versatile
approach for fabricating a micropyramidal flexible ion gel sensor,
which accomplishes sub-ppm sensitivity (<80 ppb) at room temperature
and discrimination capability between various analytes, including
toluene, isobutylene, ammonia, ethanol, and humidity. The discrimination
accuracy of our flexible sensor is as high as 95.86%, enhanced by
using machine learning-based algorithms. Moreover, its sensing capability
remains stable with only a 2.09% change from the flat state to a 6.5
mm bending radius, further amplifying its universal usage for wearable
chemical sensing. Therefore, we envision that a micropyramidal flexible
ion gel sensor platform assisted by machine learning-based algorithms
will provide a new strategy toward next-generation wearable sensing
technology.