100 nm scale low-noise sensors based on aligned carbon nanotube networks: Overcoming the fundamental limitation of network-based sensors

Minbaek Lee, Joohyung Lee, Tae Hyun Kim, Hyungwoo Lee, Byung Yang Lee, June Park, Young Min Jhon, Maeng Je Seong, Seunghun Hong

Research output: Contribution to journalArticle

26 Citations (Scopus)

Abstract

Nanoscale sensors based on single-walled carbon nanotube (SWNT) networks have been considered impractical due to several fundamental limitations such as a poor sensitivity and small signal-to-noise ratio. Herein, we present a strategy to overcome these fundamental problems and build highly-sensitive low-noise nanoscale sensors simply by controlling the structure of the SWNT networks. In this strategy, we prepared nanoscale width channels based on aligned SWNT networks using a directed assembly strategy. Significantly, the aligned network-based sensors with narrower channels exhibited even better signal-to-noise ratio than those with wider channels, which is opposite to conventional random network-based sensors. As a proof of concept, we demonstrated 100nm scale low-noise sensors to detect mercury ions with the detection limit of ∼1pM, which is superior to any state-of-the-art portable detection system and is below the allowable limit of mercury ions in drinking water set by most government environmental protection agencies. This is the first demonstration of 100nm scale low-noise sensors based on SWNT networks. Considering the increased interests in high-density sensor arrays for healthcare and environmental protection, our strategy should have a significant impact on various industrial applications.

Original languageEnglish
Article number055504
JournalNanotechnology
Volume21
Issue number5
DOIs
Publication statusPublished - 2010

ASJC Scopus subject areas

  • Bioengineering
  • Chemistry(all)
  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering
  • Electrical and Electronic Engineering

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