Advances in Nanoparticles
Vol.05 No.02(2016), Article ID:66613,9 pages

High Sensitivity of Porous Cu-Doped SnO2 Thin Films to Methanol

Sara Benzitouni1*, Mourad Zaabat1, Aicha Khial1, Djamil Rechem1, Ahlem Benaboud1, Dhikra Bouras1, Abdelhakim Mahdjoub2, Mahdia Toubane3, Raphael Coste4

1Laboratoire des Composants Actifs et Matériaux (LCAM), Université Larbi Ben M’hidi, Oum El Bouaghi, Algérie

2Laboratoire des Matériaux et Structure des Systèmes Electromécaniques et leur Fiabilité (LMSSEF), Université Larbi Ben M’hidi, Oum El Bouaghi, Algérie

3Unité de Recherche Matériaux, Procédés et Environnement (URMPE), Université M’hamed Bougara, Boumerdes, Algérie

4Laboratoire de Recherche en Nanoscience (LRN), UFR Sciences, Université de Reims, Reims, France

Copyright © 2016 by authors and Scientific Research Publishing Inc.

This work is licensed under the Creative Commons Attribution International License (CC BY).

Received 27 March 2016; accepted 17 May 2016; published 20 May 2016


Porous Cu-doped SnO2 thin films were synthesized by the sol-gel dip-coating method for enhancing methanol sensing performance. The effect of Cu doping concentration on the SnO2 sensibility was investigated. XRD data confirm that the fabricated SnO2 films are polycrystalline with tetragonal rutile crystal structure. AFM and SEM micrographs confirmed the roughness and the porosity of SnO2 surface, respectively. UV-Vis spectrum shows that SnO2 thin films exhibit high transmittance in the visible region ~95%. The band gap (3.80 - 3.92 eV) and the optical thickness (893 - 131 nm) of prepared films were calculated from transmittance data. The sensing results demonstrate that SnO2 films have a high sensitivity and a fast response to methanol. In particular, 3% Cu-SnO2 films have a higher sensitivity (98%), faster response (10−2 s) and shorter recovery time (18 s) than other films.


SnO2, Cu-Doped, Sensitivity, Porosity, Response Time, Band Gap, Thin Films

1. Introduction

In recent years, the detection methods of toxic chemical species and measurement of their concentration increased significantly. This interest is mainly due to environmental considerations [1] - [5] . In the field of detection of chemical species, we must distinguish chemical sensors and in particular micro-sensors and micro- devices that play a critical role in environmental monitoring and environmental control (air, water), facilitating a better quality of life. The projected increase in global energy usage and unwanted release of pollutants has led to a serious focus on advanced monitoring technologies for environmental protection. Much research has been focused on the development of highly accurate sensors, highly sensitive and reliable. Shipping devices ever smaller micro-level have capabilities to control the nanomaterials such as: biological, chemical and pathological samples [6] [7] . In this context, the study focuses on the detection of methanol, which has strong toxicity, and can cause death because of its depressant properties on the central nervous system and blood system.

The metal oxides are widely used as micro-sensors due to their unique surface properties, particularly having a large active surface area, which can make the ideal detection elements such as: Co3O4 [7] , Ag2O [8] , PPC/NC [9] , CuO [10] , a-MnO2 [11] and SnO2 [12] . Among of all metal oxide semiconductors, SnO2 is a proper candidate for potential application in chemical sensing due to its thermal/chemical stability, good oxidation resistance with wide band gap energy of 3.6 eV. Up to now, few strategies have been adopted to improve the performance of SnO2 sensors by introducing various dopants such as Ni, Fe and Pt [12] - [14] , or by varying the experimental conditions on the SnO2 fabrication such as [15] [16] . In this paper, the effect of Cu doping concentration on the SnO2 sensibility is investigated that has not reported in the literature as nano-sensor. The Cu2+ have smaller ionic radius than Sn4+, so Cu2+ can be incorporated onto the SnO2 lattice simply by replacing Sn4+. This may be leading to form more oxygen vacancies, which improves chemical sensing properties of Cu-doped SnO2 thin films.

2. Experimental Procedure

2.1. Materials

Tin (II) chloride dihydrate 98% |SnCl2, 2H2O|, copper (II) acetate monohydrate 98% |Cu(CH3COO)2, H2O)|, absolute ethanol ≥99.8% |C2H5OH| and hydrochloric acid 36% |HCl| were used to preparing undoped and Cu- doped SnO2 thin films as a chemical-sensors for enhancing methanol sensing performance 99.8% |CH3OH|. “All products are from Sigma-Aldrich”.

2.2. Preparation of Undoped and Cu-Doped SnO2 Thin Films

Undoped and Cu-doped SnO2 thin films were prepared by the sol-gel dip-coating method using materials mentioned previously. Tin (II) chloride dihydrate [SnCl2, 2H2O] as a precursor and copper (II) acetate monohydrate [Cu(CH3COO)2, H2O] as a dopant source were dissolved at the same time in absolute ethanol with a total molarity of 0.4M. The Sn-O bonds were necessary for the formation of SnO2 films, which are obtained by the hydrolysis reaction between the Tin and the solvent. This reaction is usually accelerated by acidic catalysts. So, a few drops of HCl are added to the mixture to obtain a clear and homogeneous solution, the blue mixture was stirred at 70˚C for 2.30 h. It was usually prepared one day before using. The glass substrates were cleaned in an ultrasonic bath in acetone, ethanol and distilled water successively. The layers were deposited by immersing a substrate in the solution for 1 min (Dip-coater KSVDCX2) and then dried at high temperature 300˚C for 4 min in an electric furnace (Nabertherm B-180). The procedure from immersing to drying was repeated 15 times, the films were then annealed at 550˚C for 1 h. To investigate the effect of copper doping concentration on the physical and sensing properties of SnO2, tin oxide thin films were fabricated at several concentrations of Cu: (0% Cu, 3% Cu, and 6% Cu).

2.3. Sensors Characterization

The structural characterization of the films was performed using X-ray diffractometer [type Bruker AXS-8D with CuKα 1.54056 Å]. The surface morphology was studied using atomic force microscopy (A100 model of APE Research) and Scanning Electron Microscopy (LEO Gemini 98). The optical properties were investigated using a spectrophotometer UV-Vis (Jasko V-630). The sensing properties of the films were studied by Keithley source meter (model 2401, made in China).

2.4. Chemical Sensors Testing

In order to study the sensibility of SnO2 thin films, we manufactured electrical contacts separately with 1 cm spacing by silver lacquer on their surface. Then, the electrical contacts were covered by a plastic insulator to avoid their response during methanol injection. Finally, we kept the sample in the water and then connected to an electrical circuit Keithley source meter (model 2401, made in China) and controlled with a computer (NI LabView software). After equilibrium and stability of sample resistivity in water, we injected the methanol. Data acquisition card collected the resistance values across the chemical sensor in real-time and displayed on a computer. The applied voltage is estimated at 1.0 Volt. In order to determine the effect of Cu doping concentration on the SnO2 sensibility, the sensor responses (S) were calculated by the injection of 1.0 M of methanol using Equation (1). All electrical measurements were performed at room temperature.


where Rw is the resistance in water and DR is the variation of resistance during injection of chemical liquid.

3. Results and Discussion

3.1. Structural Properties

Figure 1(a) shows the X-ray diffraction patterns of undoped and Cu-doped SnO2 thin films. The data reveal that all peaks: 26.52˚ (110), 33.73˚(101), 37.83˚(200), 44.10˚(210) and 51.73˚(211) correspond to the planes of tetragonal rutile crystalline phases of tin oxide [JCPDS card (41-1445)]. And no peak of other crystalline phases was detected, which is probably due to the low content of Cu-dopant. These results are similar to those reported in some publication [17] - [21] , but another peak has appeared and more intense in our study at 44.10˚(210). It can be seen that the intensity of a dominant peak (210) among of all other peaks decreases with increasing doping concentration, indicating the slight deterioration of crystallinity of SnO2, which may be due to the formation of stress; a contraction in the lattice because of substitution of copper [Cu2+: 0.73Å] on the tin [Sn4+: 0.83Å] sites. The crystalline size of SnO2 Equation (2) and the dislocation density Equation (3) have been calculated [22] and reported in Table 1 respectively.



where λ is the X-ray wavelength, β is the full width at half maximum of the XRD peak, θ is the Bragg diffraction angle. The increase in the dislocation density (d) in the system suggests that the doping has induced defects in the system.

3.2. Morphological Properties

The surface morphology of samples was analyzed by SEM and AFM respectively. Figure 2 shows the scan-

(a) (b)

Figure 1. (a) XRD patterns of undoped and Cu-doped SnO2 thin films and (b) Unit cell structure of rutile SnO2 with polyhedral representation, drawn with VESTA 2.x.

Figure 2. SEM micrographs of SnO2 thin films deposited by sol-gel dip-coating method. (a) Undoped SnO2; (b) 3% Cu-doped SnO2 and (c) 6% Cu-doped SnO2 thin films.

Table 1. The XRD, AFM and transmittance analysis.

ning electron micrographs (SEM) of undoped and Cu-doped SnO2 thin films. It is evident that the films are uniform with granular surface nanostructures. For undoped SnO2 (Figure 2(a)), the grains are almost spherical in shape and their diameter size is approximately in the range (50 - 90 nm). For Cu-doped SnO2 (Figure 2(b)), we can see that the samples presented a three-dimensional random arrangement of nanoropores with an average pore diameter about of (49 - 67 nm). Therefore, the surface morphology of films is strongly depending upon the Cu doping concentration. Inspired by this idea, the porous structure is believed to facilitate the transport of reactant molecules and to enhance chemical-sensing performance.

Avoid The dependence of the grain size and the RMS roughness as a function of Cu doping concentration was revealed by statistical processing of 2D/3D of AFM images that showed in Figure 3 using [Gwyddion 2, 34]. The grain size of particles Dp and the RMS roughness parameters are reported in Table 1. From this table, we observed that both the grain size (93 to 46 nm) and the RMS roughness (30.8 to 8.97 nm) were decreased with increasing cu doping concentration.

The total surface area per unit of mass or bulk volume or cross sectional area is known as specific surface area. This material property of solids has an important role in the process of adsorption, heterogeneous catalysis and reactions on surfaces. It can be measured using the formula of Equation (4) [23]


where S is the specific surface area, Dp is the size of the particle and r is the density of SnO2 (6.85 g/cm3). Table 1 shows that the specific surface area increased with increasing copper doping concentration. Therefore, the possibility to accelerate the reaction on the SnO2 surface is increased.

3.3. Optical Properties

Figure 4 shows the optical transmission spectra of undoped and Cu-doped SnO2 thin films. We can distinguish in this figure the presence of a high transparency in the range of wavelength [400 - 1100 nm], where the high transmittance of these films was about of 95%. However, we observe a sharp decrease in the transmittance with increasing Cu doping concentration. In this wavelength range, we can also observe the interference fringes due to multiple reflections on the different interfaces, which indicate that the films prepared under these conditions

(a) (b) (c)

Figure 3. AFM micrographs (3D) of SnO2 thin films deposited by sol-gel dip-coating method. (a) Undoped SnO2; (b) 3% Cu-doped SnO2 and (c) 6% Cu-doped SnO2 thin films.

Figure 4. UV-Vis transmission spectra of undoped and Cu-doped SnO2 thins films, and spectral dependence of the absorption coefficient (αhu)2 = f(hu) for SnO2 thin films.

are smooth and uniform [24] . In addition, the optical absorption edge was shifted towards a shorter wavelength region with increasing Cu doping concentration, which was attributed to the Burstein-Moss effect [25] .

The band gap energy is calculated on the basis of the maximum absorption band of SnO2 nanosheet materials Equation (5). The plots of (αhu)2 as a function of energy (hu) for Cu doped SnO2 films tend asymptotically towards a linear section, which show that the investigated films have a direct optical band gap [26] [27] .


where A is a constant, hu is the photon energy and Eg is the optical band gap. The optical band gap of our films was found increased with increasing Cu concentration from 3.88 to 4.00 eV. This indicates that the copper was correctly incorporated into the SnO2 structure.

The thickness of the deposited films is obtained by fitting the transmittance experimental spectra by the theoretical model as shown in Figure 5 using Swanepoel formulation of the transmittance and the Forouhi-Bloomer description of optical indices [28] [29] . As can be seen, the optical thickness decreases when the doping concentration increases from 893 nm to 131 nm. The decreasing in the thickness may be due to distortions in the SnO2 lattice and the decrease its parameters following the introduction of the Cu with an ionic radius smaller than of Sn.

3.4. Methanol Detection Using SnO2 Thin Films-Sensors

The potential application of SnO2 thin films as chemical sensors was investigated for detection of hazardous and

Figure 5. Experimental and fitted spectra of transmittance, corresponding to undoped and Cu-doped SnO2 thin films.

toxic chemical species as a methanol, which are not environmentally friendly. The reason of phenomenon is that the resistance R of SnO2 thin films widely changed when the aqueous methanol was adsorbed. Therefore, methanol detection using SnO2 thin films-sensors was performed by measuring the resistance as a function of time R (t), which is shown in Figure 6(a). This figure shows in the one hand a significant response which is clearly demonstrated by the change in the resistance of undoped and Cu-doped SnO2 thin films. On the other hand, the SnO2 thin films become more sensitive with a fast response in the presence of copper, this may be due to their unique surface properties such as a high surface area and a high pore density of surface, which facilitate the transport of reactant molecules and to enhance chemical-sensing performance. The sensing parameters of our films are also schematized in the Figure 6(b). As it can be seen, the sensitivity of SnO2 films increases with increasing Cu doping concentration from 77.34% to 98.7%. However, the sensitivity of 3%Cu-SnO2 films (98.7%) is greater than the sensitivity of 6% Cu-SnO2 films (92.75%), this may be due to the deactivation of the surface area of SnO2 with doping by 6%Cu. Besides, 3%Cu-SnO2-films shows a fast response time (10−2 s) and a short recovery time (18 s) than other samples. The main influence of doping process is also for enhancing the electrical properties. It’s well known that, chem-sensing properties are improved in the case of doped materials, mixed materials, etc. This process leads to an increase of the electron concentration, which eventually increases the oxygen vacancies-related defects in SnO2 nanoparticles. Therefore, more adsorption sites for liquid molecules are provided by these oxygen vacancies causing the surface to become highly active for a reaction, so that the sensing properties are improved. In the other hand, the porosity of the Cu doped SnO2 surface observed by means of SEM images can be improved the flow of generated electrons. The many responses of 6% Cu-doped SnO2 films to the methanol at the same test (Figure 6(c)) confirming the reliability of Cu-SnO2 sensors.

The chemical sensing mechanism of SnO2 thin films to methanol can be explained in Figure 7 with according to the following equations:

The dissolved oxygen is converted to ionic species (such as and), which has gained electrons from the SnO2 conduction band, Equation (6) [8] [13] .

. (6)

The reaction between methanol and ionic oxygen species is executed by two different ways Equation (7) and Equation (8) [30] .


. (8)

(a)(b) (c)

Figure 6. (a) The electrical resistance of undoped and Cu-doped SnO2 thin films-sensors (0, 3, 6 wt%) as a function of time with exposure 1.0 M to methanol liquid, (b) Effect of Cu doping concentration on the sensing parameters of SnO2: sensitivity, response time and recovery time and (c) The many responses of 6% Cu-doped SnO2 films to the methanol at the same test.

Figure 7. Schematic view of: (a) sensor contact and (b) reaction mechanism of methanol in presence of SnO2 thin films.

4. Conclusion

In this paper, the undoped and Cu-doped SnO2 thin films were synthesized by the sol-gel method. The various measurement equipments were used to characterize their structural, morphological and optical properties. The changes in resistance of undoped and Cu-doped SnO2 thin films during the injection of methanol in aqueous solution show a high sensitivity in a very short time. The copper effect for developing the SnO2 films as nano-sensor has been successfully realized. In particular, the 3% Cu-SnO2 films have a higher sensitivity (98%), faster response (10−2 s) and shorter recovery time (18 s) than other films. We believed that it is a possible and effective route to improve the sensing performance of the thin films, as nano-sensors.


Laboratoire des Composants Actifs et Matériaux (LCAM), Université d’Oum El Bouaghi 04000, Algérie, have supported this work. The authors are grateful to the Algerian MESRS (Ministère de L’Enseignement Supérieur et de la Recherche Scientifique) for the financial support. S. Benzitouni thanks particularly the laboratory of Research of Nanoscience (LRN) for the SEM measurements and Unite of Research Materials, Processes and Environment (URMPE) for XRD measurements.

Cite this paper

Sara Benzitouni,Mourad Zaabat,Aicha Khial,Djamil Rechem,Ahlem Benaboud,Dhikra Bouras,Abdelhakim Mahdjoub,Mahdia Toubane,Raphael Coste, (2016) High Sensitivity of Porous Cu-Doped SnO2 Thin Films to Methanol. Advances in Nanoparticles,05,140-148. doi: 10.4236/anp.2016.52016


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