Process Controlled Ruthenium on 2D Engineered V-MXene via Atomic Layer Deposition for Human Healthcare Monitoring.
Debananda MohapatraYujin ShinMohd Zahid AnsariYoun-Hye KimYe Jin ParkTaehoon CheonHaekyoung KimJung Woo LeeSoo-Hyun KimPublished in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2023)
In searching for unique and unexplored 2D materials, the authors try to investigate for the very first time the use of delaminated V-MXene coupled with precious metal ruthenium (Ru) through atomic layer deposition (ALD) for various contact and noncontact mode of real-time temperature sensing applications at the human-machine interface. The novel delaminated V-MXene (DM-V 2 CT x ) engineered ruthenium-ALD (Ru-ALD) temperature sensor demonstrates a competitive sensing performance of 1.11% °C -1 as of only V-MXene of 0.42% °C -1 . A nearly threefold increase in sensing and reversibility performance linked to the highly ordered few-layered V-MXene and selective, well-controlled Ru atomic doping by ALD for the successful formation of Ru@DM-V 2 CT X heterostructure. The advanced heterostructure formation, the mechanism, and the role of Ru have been comprehensively investigated by ultra-high-resolution transmission/scanning transmission electron microscopies coupled with next-generation spherical aberration correction technology and fast, accurate elemental mapping quantifications, also by ultraviolet photoelectron spectroscopy. To the knowledge, this work is the first to use the novel, optimally processed V-MXene over conventionally used Ti-MXene and its surface-internal structure engineering by Ru-ALD process-based temperature-sensing devices function and operational demonstrations. The current work could potentially motivate the development of multifunctional, future, next-generation, safe, personal healthcare electronic devices by the industrially scalable ALD technique.
Keyphrases
- high resolution
- healthcare
- energy transfer
- endothelial cells
- electron microscopy
- computed tomography
- mass spectrometry
- contrast enhanced
- adipose tissue
- type diabetes
- positron emission tomography
- metabolic syndrome
- tandem mass spectrometry
- dual energy
- current status
- gold nanoparticles
- machine learning
- reduced graphene oxide