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TITLE Flash-Thermal Reduction of Graphene Oxide with Flexible Electronics Platform for Highly Sensitive Wearable Temperature Sensor
AUTHOR Yeong Jun Yun, Hyun Jin Kang, Chan Yun Bae, Gyu Heon Bae, Hyun Jin Lee, Ki Hoon Kim, Yeong Jun Jang, Tae Won Nam, and Jung Woo Lee*
YEAR 2025
JOURNAL Advanced Eletronic Materials
ABSTRACT

Accurate and continuous temperature monitoring is essential for effective diagnosis and management of health conditions, particularly amid global challenges such as the COVID-19 pandemic and the rising prevalence of age-related diseases and cancer. However, conventional temperature measuring devices suffer from inherent limitations, including rigidity, bulkiness, and insufficient sensitivity, making them unsuitable for long-term, real-time applications. To overcome these challenges, a highly sensitive and f lexible temperature sensor utilizing partially reduced graphene oxide (PrGO) as the sensing material is developed. Graphene oxide (GO), characterized by disrupted sp2 bonds and oxygen-rich functional groups that act as electron traps, undergoes controlled reduction to modulate its electrical and structural properties. In this study, by employing the flash-thermal reduction technique, the reduction degree of the GO with systematic analyses on conductivity and material stability is precisely adjusted. The optimized flash-thermal reduced graphene oxide based sensor exhibits exceptional flexibility, reversibility, high sensitivity (≈1.28% °C−1), excellent linearity (R2 ≈ 0.999), long-term stability, and a rapid response time (≈0.6 s), outperforming conventional metal-based temperature sensors in sensitivity. These advancements highlight the transformative potential of flash-thermal reduction for next-generation wearable sensors, offering a lightweight, adaptable, and highly responsive platform for real-time medical monitoring and healthcare applications.

FULL ARTICLE
INSTRUMENT NRS-5100
KEYWORDS f lash-thermal reduction, flexible electronics, graphene oxide, reduction control, temperature sensors
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