Department of Photonics and Nanoelectronics, Hanyang University, Ansan, Gyeonggi 15888, Republic of Korea.
BK21 FOUR ERICA-ACE Center, Hanyang University, Ansan, Gyeonggi 15588, Republic of Korea.
ACS Appl Mater Interfaces. 2023 May 31;15(21):26138-26147. doi: 10.1021/acsami.3c02570. Epub 2023 May 18.
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.
一种能够检测广泛化学物质的高灵敏度、灵活的气体传感器对于可穿戴应用至关重要。然而,传统的基于单一电阻的柔性传感器在机械应力下保持化学敏感性方面面临挑战,并且可能受到干扰气体的影响。本研究提出了一种通用的方法来制造微金字塔形柔性离子凝胶传感器,该传感器在室温下实现了亚 ppm 级(<80 ppb)的灵敏度和对各种分析物(包括甲苯、异丁烯、氨、乙醇和湿度)的区分能力。我们的柔性传感器的区分准确性高达 95.86%,通过使用基于机器学习的算法得到了增强。此外,其传感能力在从平面状态到 6.5 毫米弯曲半径的变化仅为 2.09%时保持稳定,进一步扩大了其在可穿戴化学传感方面的通用用途。因此,我们设想基于机器学习的算法辅助的微金字塔形柔性离子凝胶传感器平台将为下一代可穿戴传感技术提供一种新策略。