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Journal of Sensors
Volume 2009, Article ID 402527, 5 pages
http://dx.doi.org/10.1155/2009/402527
Research Article

Field-Assisted and Thermionic Contributions to Conductance in Thick-Films

1Department of Physics, University of Ferrara, Via Saragat 1/C, 44100 Ferrara, Italy
2Institute of Materials Science and Technology (INTEMA), National University of Mar del Plata, CONICET, Juan B. Justo 4302, B7608FDQ Mar del Plata, Argentina

Received 27 January 2009; Revised 27 May 2009; Accepted 23 June 2009

Academic Editor: Giorgio Sberveglieri

Copyright © 2009 C. Malagù et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A deep analysis of conductance in nanostructured thick films has been performed. A model for field-assisted thermionic barrier crossing is being proposed to explain the film conductivity. The model has been applied to explain the behavior of resistance in vacuum of two sets of nanostructured thick-films with grains having two well-distinct characteristic radii ( nm and  nm). In the first case the grain radius is shorter than the depletion region width, a limit at which overlapping of barriers takes place, and in the second case it is longer. The behavior of resistance in the presence of dry air has been explained through the mechanism of barrier modulation through gas chemisorption.

1. Introduction

In the last two decades, gas sensors based on SnO2 thick films became the dominant solid state devices for the gas detection in domestic, commercial, and industrial alarms [1, 2]. It is widely accepted that, when oxygen chemisorbs, electrons transfer from the bulk to the surface of the grain modifying the barriers at the grain boundaries [3]. In particular, after oxygen chemisorption, the barrier height, Vs, and the depletion width, Λ, become larger and, as a consequence, the sample resistance increases. Different factors (such as type of defects, morphology, and additives) contribute to the electrical response of the gas sensor [4, 5].

The film resistivity (or conductivity) is broadly used to characterize a sensor, and the widely acknowledged phenomenological equation [2, 6, 7] is

where ρo is the bulk resistivity, k the Boltzmann constant, and T the absolute temperature.

In this work, the resistance of undoped SnO2 thick-film gas sensors is analyzed as a function of temperature in vacuum and in dry air atmosphere. In order to explain the results, thermionic and tunneling contributions to the electrical conduction have been considered.

2. Experimental

Commercial high-purity SnO2 (Aldrich, medium particle size 0.4 μm) was ground until a medium particle size of 0.1 μm (labeled powders P1). A calcination process carried out at 1100°C for 2 hours led to powders with larger particle size (labeled powders P2). Then, a paste was prepared with an organic binder (glycerol) and the powders P1 and P2. The used solid/organic binder ratio was 1/2. No dopants were added.

Thick, porous film samples were made by painting onto insulating alumina substrate on which electrodes with an interdigit shape have been deposited by sputtering. Finally, samples were thermally treated for 2 hours in air at 500°C. Samples were labeled S1 (small particle size) and S2 (large particle size). The thickness of the films was measured with a Surtronic 3+ (Taylor Hobson) profilometer with a diamond stylus (radius: 1 μm). To image the tin oxide surfaces a JEOL JSM 6700F SEM was employed. The X-ray data were collected with a Siemens D-500 difractometer using CuKα radiation.

Dynamical resistance curves were measured while changing the vacuum into air flux and, after having reached quasisaturation, changing the dry air flux back into vacuum (10-4 mmHg). In temperature cycling experiments, resistance was measured while raising and then decreasing the temperature from room temperature up to 420°C at a rate of 2°C/min with the sample kept in air (40 mmHg).

3. Modelling

To model the resistance of the two sets of sensors, a field-assisted mechanism for barrier crossing is proposed (see [8]). We applied the WKB approximation to a double parabolic barrier of the following form:

The tunnelling and thermionic contributions to the current density, with respect to the flat band case, were calculated following the classical work of Crowell and Rideout for a single parabolic barrier [9]. The whole calculation resulted in a factor two in the exponent of the tunneling part of [9, equation (13)]. Thus, we found for the tunneling contribution, here called I1, and for the thermionic one, here called I2, respectively, where

with being the energy of an electron in the conduction band. From numerical solutions of (3) it turns out that the relative tunneling emission with respect to the thermionic one is an increasing function of E00/kT ratio. For a given material, E00 is fixed; thus the tunneling contribution is more effective at lower temperatures. Moreover the solution of (3) at a fixed temperature shows, as discussed in [8] (our factor two does not alter the trend), that the lower the barrier the more important the relative thermionic contribution with respect to the field assisted one. This phenomenon gives an explanation to the experimental evidence presented below.

4. Results and Discussion

In Figures 1(a) and 1(b), SEM micrographs of the samples S1 and S2 are shown. Both samples present homogeneous microstructures. From SEM micrographs a significant difference in the microstructures of S1 and S2 is observed. The samples showed the presence of agglomerates, but samples made with larger particle size (S2) showed a highly porous microstructure with the presence of some cracks (not shown in this figure). The average particle radius of samples labeled S1 was determined to be 25 nm, while for samples labeled S2 it was determined to be 125 nm. The mean thickness of the films determined by the profilometer was 100 m for samples S1 and 440 m for samples S2.

fig1
Figure 1: (a) SEM micrograph for a sample labeled S1 . (b) SEM micrograph for a sample labeled S2 .

Since SEM imager for sample S1 is not clear enough to provide reliable grain size determination, we have performed X-Ray Diffraction (XRD) on this sample for comparison. From XRD, the film is found to be composed of SnO2 with a high degree of crystalline. In Figure 2, the peak corresponding to the (211) plane is showed. The grain sizes of the samples were calculated following Scherrer’s law [10]:

402527.fig.002
Figure 2: XRD of sample 1 to compare with SEM measurement.

where t is the SnO2 particle size; is the wavelength (Co = 1.788 Å); B is the angular width (in terms of ) measured in radians that corresponds to the full width at half-maximum; is the value of the angle of the peak of the highest intensity. Through this equation, a particle size, t, of 41 nm was calculated for sample S1. This result is in agreement with that found using SEM.

Figure 3 shows the electrical response (resistance versus time) of the sample with smaller particle size after changing the vacuum (10-2 mmHg) into air flux () and back into vacuum. In Figure 3, curve A—experiment carried out at 280°C—after a quick increasing due to air exposure, the electrical resistance is almost constant over a lapse of 700 seconds. On the other hand, at the temperature of 420°C (Figure 3, curve B) a diminution in the resistance after a quick increase is observed. Figure 4 shows electrical responses (resistance versus time) of the sample S2 after changing the vacuum into air flux and back into vacuum. Curve A shows an electrical response similar to those observed in sample S1 at the low temperature (Figure 3, curve A). When the temperature is increased at values close to 420°C, a slow decreasing in the resistance with exposure time was registered (Figure 4, curve B). This behavior is similar to that observed at the high temperature in sample S1 for the longest exposition times. However, due to the greater thickness in sample S2, a slower electrical response with respect to S1 in the studied temperature range is detected.

402527.fig.003
Figure 3: Dynamical response (resistance versus time) of S1 after changing the vacuum into air flux and back into vacuum. (a) °C. (b) °C.
402527.fig.004
Figure 4: Dynamical response (resistance versus time) of S2 after changing the vacuum into air flux () and back into vacuum. (a) °C. (b) °C.

Resistance versus time curves can be understood by considering that intergranular potential barriers are responsible for the observed electrical response [11]. The rapid increase of the resistance, when samples are exposed to air, indicates that equilibrium at the surface is quickly reached. The interaction of oxygen with grain surfaces produces the transfer of electrons from the bulk to the surface. From this process, Vs and become larger and, as a consequence, the sample resistance increases. The long term changes in the resistance observed after a quick initial change in the atmosphere can be explained in terms of oxygen in- and out-diffusion [12] that reflects in a slow change of the doping level, Nd.

Samples with larger particle size (S2) showed a relatively slower response than samples with smaller particle size (S1). This result could be explained by considering that samples S2 are thicker than S1. It has long been suggested that the response time of a semiconductor gas sensor could be related to the reactivity and diffusion of gas molecules inside gas sensing layers [13, 14].

Regarding the behaviour of resistance in vacuum a more subtle analysis is required. The values of resistance in vacuum for the samples S1 and S2 are reported in Table 1 at the temperatures of 280 and 420°C, respectively.

tab1
Table 1: Average resistance values in vacuum of samples S1 and S2 at the two operating temperatures.

Samples S2 show a lower resistance than samples S1 at both temperatures due to the lower number of grains. But it is worth noticing that, whereas at the high temperature the value of the resistance is comparable to that of the smaller grained sample, at the low temperature the resistance of S1 is five times larger than that of S2. The case of grains with (S1) is sketched in Figure 5. In a previous work [15] we have demonstrated that the barrier height in vacuum, which we will call here , of SnO2 grains with is expected to be about 10% lower than that of grains with because of the decrease of surface state density.

402527.fig.005
Figure 5: , the potential is not zero at the centre of the grain. The potential barrier that electrons have to cross is . is the distance between the conduction band at surface and the Fermi level; it holds [13].

It must be observed that the density of electrons decreases exponentially with the distance of Ec from EF in the same manner as the thermionic contribution increases due to the lower barrier. As explained in [8, equation (7)], if we call the barrier height and the distance between Ec and EF, then the Fermi level is below the bottom of the conduction band. The carrier density is then reduced by a factor . Consequently the total thermionic contribution to conductance is proportional to , where the first term is the change in carrier density and the second one is the probability of barrier crossing. This product gives exactly

Therefore, if we do not invoke tunnelling, it is necessary for a semiconductor with lower distance between and to exhibit higher conductivity, which is contradicted by experimental evidence.

If the mechanism of barrier crossing were purely thermionic, the smaller grains would show less resistivity at every temperature, being the resistivity an exponential function of the barrier height; see (6). At the higher temperature, the number of electrical active grains, of the samples S2, competes with its higher resistivity making the resistance of the two samples almost equal, R(S1) = 1.3R(S2). Instead, at 280°C where the tunneling contribution (I1) is dominant with respect to the thermionic (I2) because at lower temperature , the effect of grain size is crucial. In the case of small grains, the actual barrier to be crossed, E, is much lower than that of the larger grains, and, in the case of lower barrier, the relative tunneling contribution is reduced with respect to the thermionic one. In fact, at  nm the overlapping of potential barriers takes place, see Figure 5, and . Therefore a larger resistance for smaller grains is to be expected at the lower temperature. If instead the phenomenon were purely determined by thermionic emission, the barrier lowering of small grains could not produce different effects at different temperatures, the effect being only that of reducing the resistance of the small grains with respect to that of large ones. It would not then be possible to explain why R(S1) = 5.4R(S2) at 280°C.

5. Conclusions

The resistance behavior of the two samples in oxygen has been explained in terms of barrier variations due to surface reactions. In the case of vacuum, to explain the greater resistance (Table 1) of small grains with respect to larger ones, in spite of the fact that the barrier of the latter is higher, it is necessary to invoke tunneling. It turns out that the relative tunneling contribution in the case of small grains is smaller because intergranular barriers are lower as a consequence of the lift of the potential at the centre of the grain.

Therefore, if the sensors are working at temperatures at which the tunneling crossing is dominant with respect to thermionic, it is possible that the decrease of the former contribution results in a very big increase in resistance for samples with a grain radius smaller than depletion width. This evidence could not be taken into account by bare thermionic emission.

Acknowledgment

This work has been possible thanks to the project of Scientific Cooperation between CNR (Italy) and CONICET (Argentina).

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