Nano-Micro Letters, Journal Year: 2025, Volume and Issue: 17(1)

Published: May 3, 2025

Abstract Over recent decades, carbon-based chemical sensor technologies have advanced significantly. Nevertheless, significant opportunities persist for enhancing analyte recognition capabilities, particularly in complex environments. Conventional monovariable sensors exhibit inherent limitations, such as susceptibility to interference from coexisting analytes, which results response overlap. Although arrays, through modification of multiple sensing materials, offer a potential solution recognition, their practical applications are constrained by intricate material processes. In this context, multivariable emerged promising alternative, enabling the generation outputs construct comprehensive space while utilizing single material. Among various carbon nanotubes (CNTs) and graphene ideal candidates constructing high-performance sensors, owing well-established batch fabrication processes, superior electrical properties, outstanding capabilities. This review examines progress focusing on CNTs/graphene materials field-effect transistors transducers recognition. The discussion encompasses fundamental aspects these including architectures, performance metrics, pattern algorithms, mechanism. Furthermore, highlights innovative extraction schemes when integrated with algorithms.

Language: Английский