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Nanotechnology-Enabled Sensors

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252 Chapter 5: Characterization Techniques for Nanomaterials<br />

In addition to secondary electrons there are also high-energy electrons,<br />

originating in the electron beam (producing X-rays), that are backscattered<br />

from the specimen interaction volume. These electrons may be<br />

used to detect contrast between areas with different chemical compositions.<br />

SEM can monitor the formation and growth of thin films and nanostructures.<br />

In nanotechnology enabled sensing applications, the SEM plays a<br />

vital role in helping researchers understand the interaction between the<br />

sensing layer/media and the analyte. This is because sensitivity is strongly<br />

dependant on surface morphology and topography. An SEM image of ZnO<br />

nanorods that have been fabricated via a liquid phase deposition technique<br />

is shown in Fig. 5.31. The figure shows highly cylindrical nanorods protruding<br />

from the surface, whose diameter can be estimated at ~100 nm.<br />

Since the advent of high resolution electron microscopes, features as small<br />

as 1 nm can be resolved. This is illustrated in Fig. 5.32 which shows the<br />

distribution of FePt nanoparticles that have been stabilized on Si substrates<br />

with amino-silanes. 87<br />

For many thin film based gas sensors, the surface to volume ratio of a<br />

sensing layer film can influence its sensitivity. High resolution SEM images<br />

of carbon nanotubes, with large surface to volume ratio, employed for<br />

nitrous oxide gas sensing are shown in Fig. 5.33. 88 Multilayered materials<br />

and nanostructures can also be studied by examining their cross sections.<br />

The cross sectional SEM images of different organic multi-layers used in<br />

biosensing applications are shown in Fig. 5.34, 89 From these SEM images<br />

it is possible to observe their conformation to the substrate as well as the<br />

thickness of each layers. All information (topological and morphological)<br />

obtained using SEM can be correlated to the response of the sensors, and<br />

enable researchers to optimize sensor performance.

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