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Lee, Chang Young
Carbon Nanomaterials Lab
Research Interests
  • Carbon nanomaterials, gas sensors, neuroanalytical chemistry, biomimetic nanosystems

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Understanding the dynamics of signal transduction for adsorption of gases and vapors on carbon nanotube sensors

Cited 49 times inthomson ciCited 49 times inthomson ci
Title
Understanding the dynamics of signal transduction for adsorption of gases and vapors on carbon nanotube sensors
Other Titles
Understanding the dynamics of signal transduction for adsorption of gases and vapors on carbon nanotube sensors
Author
Lee, Chang YoungStrano, Michael S.
Keywords
AB-INITIO; WIRES
Issue Date
2005-05
Publisher
AMER CHEMICAL SOC
Citation
LANGMUIR, v.21, no.11, pp.5192 - 5196
Abstract
Adsorption dynamics and their influence on signal transduction for carbon nanotube-based chemical sensors are explored using continuum site balance equations and a mass action model. These sensors are shown to possess both reversible and irreversible binding sites that can be modeled independently. For the case of irreversible adsorption, it is shown that the characteristic response time scales inversely with analyte concentration. It is inappropriate to report a detection limit for this type of sensor since any nonzero analyte concentration can be detected in theory but at a cost of increasing transduction time with decreasing concentration. The response curve should examine the initial rate of signal change as a function of analyte concentration. Conversely, a reversible sensor has a predefined detection limit, independent of the detector geometry with a characteristic time scaling that becomes constant in the zero analyte concentration limit. A simple analytical test is presented to distinguish between these two mechanisms from the transient response of a nanotube sensor array. Two systems appearing in the literature are shown to have an irreversible component, and regressed surface rate constants for this component are similar across different sensor geometries and analytes
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DOI
10.1021/la046867i
ISSN
0743-7463
Appears in Collections:
ECHE_Journal Papers
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