Xiaoju
Luo†
a,
Zheng
Lou†
b,
Lili
Wang
b,
Xuejun
Zheng
*a and
Tong
Zhang
*ab
aSchool of Materials Science and Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China. E-mail: zhengxuejun@usst.edu.cn
bState Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, PR China. E-mail: zhangtong@jlu.edu.cn; Fax: +86 431 85168270; Tel: +86 431 85168385
First published on 2nd October 2013
Nanosheet-assembled hierarchical flower-like ZnO nanostructures formed from closely packed nanosheets have been fabricated from an ethanol-assisted hydrothermal route at a temperature of 140 °C. It was found that the solvent played a key role in the formation process of the hierarchical ZnO nanostructures in this reaction system. Most importantly, the as-prepared nanosheet-assembled flower-like ZnO (S-1) nanostructures exhibited excellent sensing properties towards acetone, up to 35.1 within 0.5 s towards 500 ppm acetone, which were much better than those of nanorod-assembled flower ZnO nanostructures (S-2) and ZnO microspheres (S-3). A detailed investigation revealed that a large number of almost invisible pores existed in the ZnO superstructures, which play a key role in the transport pathways of small molecules, resulting in nanosheets with a high level of sensing activity.
In recent years, hierarchical micro- and nanoscale structures have attracted great interest due to their structures and impressive physicochemical properties such as, for example, their less agglomerated configurations and high surface areas, which differ from their solid counterparts, thus giving them the prospect for potential application in chemical sensors.9 In particular, hierarchical oxide structures as gas sensing materials show good sensing properties due to well-aligned porous structures without scarifying high surface area.10 Thus, research into three-dimensional hierarchical structures, formed using the surfactant-assisted self-assembly of nanoparticles, nanorods, nanotubes, nanosheets, or other composites, has become a hot topic.11 Many methods can be used to produce 3D hierarchical ZnO architectures, for example, specific peptides can catalyze and induce flower-like ZnO nanostructures12 and initial 1D ZnO nanostructures can be assembled form brush-like hierarchical ZnO nanostructures.13 However, developing a facile and effective method for the fabrication of 3D hierarchical architectures remains an enormous challenge.
Herein, we have developed a facile hydrothermal strategy using different solvent-assisted methods combined with a subsequent calcination in order to fabricate 3D hierarchical flower-like ZnO architectures in the form of nanosheets and nanorods. We have investigated the acetone-sensing properties of these hierarchical flower-like ZnO architectures. The gas response of the sheet-like ZnO flower sensor was significantly higher than that of the others. The enhanced sensor properties could be due to the unique nanosheets, which have large surface areas and porous structures that are beneficial for mass transport and gas diffusion throughout the whole sensing material.
Sample no. | Starting reagents | Temperature and time | Morphology |
---|---|---|---|
S-1 | 0.245 g Zn(Ac)2 + 15 mL H2O + 10 mL C2H5OH + 0.4 g glycine + 0.4 g Na2SO4 + 10 mL NaOH | 140 °C, 8 h | Sheet-like flowers |
S-2 | 0.245 g Zn(Ac)2 + 25 mL H2O + 0.4 g glycine + 0.4 g Na2SO4 + 10 mL NaOH | 140 °C, 8 h | Rod-like flowers |
S-3 | 0.245 g Zn(Ac)2 + 25 mL glycol + 0.4 g glycine + 0.4 g Na2SO4 + 10 mL NaOH | 140 °C, 8 h | Sheet-like spheres |
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Fig. 1 Schematic showing the structure of the gas sensor.14 |
The gas-sensing characteristics of the ZnO nanomaterials were measured using an (RQ-2) Intelligent Test Meter. The response of a sensor is defined as the ratio (S = Ra/Rg for the reduced gas or S = Rg/Ra for the oxidised gas) of the sensor resistance in dry air (Ra) to that in the testing gas (Rg). The response and recovery times are defined as follows: the response time is the time taken from Ra to Ra − 90% (Ra – Rg) and the recovery time is the time taken from Rg to Rg + 90% (Ra – Rg).
The morphology and microstructure of the three ZnO nanostructures (synthesised using different solvent-assisted hydrothermal methods) were determined using FESEM. Fig. 3(a and b) indicate that the S-1 sample consists of flower-like nanostructures with diameters of about 4.5 μm. In addition, S-1 exhibited a well-formed structure without any aggregation and uniformity across the substrate. A magnified FESEM image (Fig. 3(c)) showed that the S-1 product consisted of hierarchical flower-like nanostructures assembled from nanosheet building blocks with thicknesses of about 40 nm.
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Fig. 3 FESEM images of the as-synthesized hierarchical ZnO structures: (a–c) S-1 sample; (d–f) S-2 sample; (g–i) S-3 sample. |
Fig. 3(d and e) indicate that the S-2 sample is composed of homogeneously sized nanostructures with tapered branches. In addition, each nanostructure consists of many tightly aggregated nanorods. From the single S-2 structure shown in Fig. 3f, the rod-assembled structure and rough surface can be clearly discerned. The diameter of the rods is in the range of 100–200 nm (Fig. 3(f)). When using the glycol-assisted method (Fig. 3(g and h)), it is clear that the product mainly consists of a large quantity of microspheres with average diameters of about 4–6 μm. In order to investigate the surface structures, a high magnification FESEM image was taken, which shows that the S-3 microspheres have rough surfaces, and are aggregates of numerous ZnO nanorods with diameters of about 70 nm (Fig. 3(i)).
In order to further research the morphology of the sheet-like ZnO flowers, typical TEM and HRTEM images were collected, as shown in Fig. 4. Fig. 4(a and b) show typical TEM images of the ZnO hierarchical structures with a flower-like shape. Measurements show that the S-1 structures have diameters in the range of about 4.5 μm, which are in good agreement with those shown in Fig. 3(b). In Fig. 4(c) a part of a nanosheet has been further magnified to show its flower-like nanostructure, nearly hollow cavities and porous wall. This porous network can offer a large number of channels for the test gases to effectively diffuse into the interior of the material, thus generating two electron depleted layers on both surfaces of the nanosheets, resulting in an enhancement of the sensing performance.15 It is worth noting that the sheet-like flower structures are extremely stable and cannot be damaged, even after ultrasonication over a long period of time. A representative HRTEM image of a small part of the ZnO nanosheet is shown in Fig. 4(d), from which the (110) lattice spacing (0.28 nm) of the hexagonal ZnO can be clearly determined. Both the HRTEM image and the corresponding SAED pattern (which exhibits many separate spots) of the nanosheet confirm that the sheet-like ZnO flower structures are a single-crystal structure (Fig. 4(e)). The composition of the as-synthesized ZnO was determined from the EDX spectrum (Fig. 4(f)). The spectrum indicates that the as-synthesized ZnO are mostly composed of Zn and O species. The signals for Cu and C mainly arise from the copper grid and carbon film used.
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Fig. 5 Response curves of the three ZnO sensors exposed to 500 ppm acetone under different operating temperatures. |
The acetone responses of the three sensors over time are shown in Fig. 6. It can be observed that the S-1 sensor demonstrates a considerable response to acetone. When exposed to 10 ppm acetone, the response value is about 6.5. As the acetone concentration increases from 50 to 500 ppm (Fig. 6(a)), the response values increase to about 12.3, 15.7, 23.7 and 35.2. The response/recovery rates of the three sensors are very fast and change slightly with the increasing acetone concentration. The gas response of S-1 sensor to 100 ppm acetone (Ra/Rg: 15.7) was 1.6-fold and 2.1-fold higher than those of S-2 (Ra/Rg: 9.7) and S-3 (Ra/Rg: 7.6), respectively. Interestingly, Fig. 6(b) also shows that the response of the sensor (cycle 2) could be repeated without a noticeable decrease.
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Fig. 6 (a) The acetone gas concentration range from 10 to 500 ppm. (b) The hierarchical ZnO gas sensors tested in response to acetone gas at 320 °C, and the reproducibility of the ZnO sensors. |
The variation in the response as a function of the acetone concentration at 320 °C was non-linear for all of the sensors (Fig. 7). As the acetone concentration increased, the responses of the three sensors also increased. Once the acetone concentration was above 2000 ppm, the sensors became more or less saturated, as shown by the responses increasing more slowly. Finally, at about 5000 ppm the sensors reached saturation. Moreover, the acetone responses for all of the sensors were linear between 10 and 200 ppm (Fig. 7, inset). This indicates that the hierarchical ZnO products are more beneficial for the exploration of low concentrations of acetone.
Fig. 8(a) shows the relationship between the sensor resistance in air and the operating temperature. It can be observed that the resistance of all sensors dramatically decreases with increasing temperature. This is a typical characteristic of semiconductor sensors. It can be observed in the inset of Fig. 8(a) that the resistance in air (Ra) of S-1, S-2, and S-3 at 320 °C are 10.1, 20.5, and 16.8 MΩ, respectively. In order to understand the role of the material structures and demonstrate the potential use of S-1 in highly sensitive and selective gas sensors, we measured the gas responses (C3H6O, C2H5OH, HCHO, H2, H2S and CO) of sensor prototypes comprised of three different networks of S-1, S-2, and S-3 at 320 °C, as shown in Fig. 8(b). Compared with the S-2 and S-3 sensors, the response of S-1 to acetone was the highest. Moreover, the responses of S-1 to 100 ppm of the other gases were less than 5, indicating that the sheet-like ZnO flowers may be promising sensitive materials for acetone detection. In particular, the responses to 100 ppm C2H5OH, HCHO, H2, H2S and CO were negligible.
The response and recovery characteristics of the sensor are also important factors for determining the properties of gas sensors. In order to study the response and recovery features of the S-1 sensor, the gas sensor was subsequently exposed to 100 ppm acetone at 320 °C. When exposed to 100 ppm acetone, the response and recovery times were about 0.5 and 4 s, respectively, which are among of the shortest times in the literature (Fig. 9). The response times for acetone in the literature are summarized in Table 2.17–20 The inset of Fig. 9 shows that the response of the sensor could be repeated in three reversible cycles.
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Fig. 9 Transient response of the S-1 sensor to 100 ppm acetone at 320 °C. The inset shows three response curve cycles. |
Material | Size (μm) | Conc. (ppm) | Tem. (°C) | T Res (s) |
---|---|---|---|---|
Conc. (ppm) = concentration, Tem. (°C) = temperature, TRes (s) = response time. | ||||
This work | ∼4.5 | 100 | 320 | 0.5 |
ZnO hollow nanofibers17 | ∼0.17 | 100 | 220 | 11–17 |
ZnO crystallites18 | ∼0.01 | 100 | 300 | 90 |
ZnO hollow spheres19 | 0.5–1.5 | 100 | 300 | 12 |
Co-doped ZnO nanofibers | ∼0.08 | 100 | 360 | 6 |
For n-type semiconductors, the classical model of an electron depletion layer generated by surface oxygen species (O2−, O−, and O2−) is usually considered to be responsible for the sensing mechanism.29 In ambient air, chemisorbed oxygen species are formed due to oxygen molecules capturing free electrons from the surface of the ZnO nanostructures. Therefore, ZnO sensors are in a high resistance state in ambient air.30 When the sensors are placed under acetone gas, the ZnO sample can obtain electrons from the reaction between adsorbed oxygen and acetone, as shown in eqn (1)–(3). Although the carrier-depleted layer of the ZnO sample becomes thinner, the resistance of the ZnO sample is not reduced to any large extent because the carrier-depleted layer is electronically connected in parallel with the rest of the ZnO sample, which remains highly conductive.31
CH3COCH3 + O− → CH3C+O + CH3O− + e− | (1) |
CH3C+O → CH3+ + CO | (2) |
CO + O− → CO2 + e− | (3) |
Footnote |
† These authors are contributed equally to this work. |
This journal is © The Royal Society of Chemistry and the Centre National de la Recherche Scientifique 2014 |