Ruiqing Xing,
Kuang Sheng,
Lin Xu*,
Wei Liu,
Jian Song and
Hongwei Song*
State Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, 130012, People’s Republic of China. E-mail: linxu@jlu.edu.cn; songhw@jlu.edu.cn
First published on 8th June 2016
Specific three-dimensional inverse opal (3DIO) In2O3–CuO architecture with additional via-holes was first prepared by a simple sacrificial template method. Such specific nanostructures enable fast transport of gas molecules to the entire thin-walled sensing layers, which is very helpful for improving the sensing performance. Moreover, the mole ratio of Cu/In was controlled, ranging from 0–38.1% to adjust the hetero-contact amounts in the In2O3–CuO composites. The gas sensing properties of the as-prepared 3DIO In2O3–CuO samples were evaluated toward trace acetone, which is an important biomarker of diabetes in exhaled breath. The response of the 3DIO In2O3–CuO gas sensor with the best performance (with a mole ratio of Cu/In = 16.4%) was ∼14 to 5 ppm acetone, and had a calculated low detection limit of ∼30 ppb at 370 °C when Ra/Rg ≥ 1.2 was used as the criterion for reliable gas sensing. Besides, it also showed good selectivity, fast response (τres) and recovery (τrec) times, and stability. The enhanced gas sensing performance could be attributed to the hetero-contact effects between the different components and the specific 3DIO structure with the via-holes which provided a larger effective surface area for gas adsorption. It is believed that the as-prepared 3DIO sensor can be a promising ppb-level acetone sensor in various areas.
To date, many methods have been explored for gas detection, such as electrochemical methods, solid-state electrolyte methods, infrared absorption methods, chemiluminescence methods, surface acoustic wave sensors, gas chromatography, quartz crystal microbalances, and semiconductor gas sensors, etc.8–15 Among these methods, semiconductor oxide gas sensors have attracted much interest in exhaled biomarker recognition,1,13,16 due to their high sensitivity, fast response and recovery time, lower cost, and simplicity of use. As is known, the gas sensing process of oxide sensors generally involves a catalytic reaction which mainly takes place on the surface of the sensor. Thus, through changing the nanostructure of the oxide gas sensor, the surface micro-environment will also change, and the corresponding sensing performance could be effectively controlled.17,18 Recently, the 3DIO structure has been considered to be a promising chemo-resistive candidate to effectively detect low concentration target gases because of its excellent permeability and large surface-to-volume ratio, which is accessible readily for the analyte molecules, and makes it become an efficient transducer of gas concentration into electrical signal. Up to now, there has been little work focused on p–n composites with 3DIO gas sensing performances, although the composition of the oxide gas sensor is also an important factor that could affect the sensing properties.
Recently, we have successfully synthesized macroporous specific 3DIO In2O3 with additional via-hole architectures, which can enhance the electrical responses effectively.19 Herein, we first report a macroporous In2O3–CuO-based 3DIO with additional via-hole architectures by a simple and controllable sacrificial template method, and the gas sensing properties of 3DIO In2O3–CuO were carefully investigated. The experiment results indicated that 3DIO In2O3–CuO shows excellent sensing permanence to trace acetone gas, and so can be a highly promising candidate for diabetes diagnoses in the future.
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1 to form pastes. Then, the pastes were coated on ceramic tubes on which a pair of gold electrodes was previously printed. A small spring-like Ni–Cr alloy was inserted into the ceramic tube to provide the operating temperature. After the solvent was evaporated, the ceramic tube with the S1–S5 thin layer was sintered in an oven for 2 h at 350 °C. Subsequently, the gas sensors were thermally aged with a heating voltage of 5 V (∼368 °C) for 5 days before the first measurement. The thermal ageing process was conducted on a TS60 desktop thermal ageing gas sensitive instrument (Weisheng Instruments Co., Zhengzhou, China).
The gas sensing properties were measured on a WS-30A system (Weisheng Instruments Co., Zhengzhou, China). A static process was used to achieve a different gas concentration of the target gases. More specifically, the gas sources are 1000 ppm standard gas mixed with N2. Then a certain amount of standard gas was injected into the glass chamber with a small mouth (about 2.5 L in volume) which had been pumped in a vacuum state and then mixed with the atmosphere gas. Both the inner wall of the mouth and the corresponding rubber stopper were sealed by petroleum jelly in order to maintain the stability of the gas concentration. When testing, the sensor, with an extended line passing through the rubber stopper, was put into the chamber; when the response reached a constant value, the sensor was taken out to return to the initial position in ambient air. The response is defined as Ra/Rg for an n-type sensor and Rg/Ra for a p-type sensor (Ra and Rg are the resistances of the sensors in air and in the target gas, respectively). The response and recovery times are defined as the time required to reach 90% of the final equilibrium value. Here, the working temperature is obtained by voltage regulation of the WS-30A gas sensing measurement system.
Fig. 3 displays the morphology of the as-prepared special 3DIO In2O3–CuO films with via-holes, as marked in each corresponding SEM image in Fig. 3a–e. As can be clearly seen, all the samples yield a long-range ordered 3DIO nanostructure with additional via-holes and no pore occlusion is detected. Together considering status iii in Fig. 1 (one single pore chamber), the larger macropores are gained by the face contact of the adjacent PMMA spheres in the upper or lower floor, which could be obtained in a typical sacrificial template method.19 The additional via-holes are obtained by adjusting the point contact of the adjacent PMMA spheres into area contact in the same plane. To further illustrate the specific structure of the as-obtained 3DIO films, the morphology of the 3DIO S3 film is enlarged and is revealed in Fig. 3f. As shown, 3DIO with a via-holes architecture can be seen clearly, as the arrows point out. Besides, the average macropore diameters of the 3DIO S1–S5 films are calculated to be 410 ± 5 nm, indicating that the shrinkage of sphere diameters is nearly the same during calcination in S1–S5.
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| Fig. 3 (a–e) SEM images of the 3DIO S1–S5 samples on the glass substrate, and (f) enlarged SEM image of the 3DIO S3 sample. | ||
Detailed information about the microstructure and morphology of the as-synthesized 3DIO In2O3–CuO samples is further obtained by TEM. Herein, the 3DIO S3 sample is chosen as an example since the structures of all the other samples are similar. As given in Fig. 4a, the 3DIO structure with via-holes can be well maintained even after the steps are scraped down from the glass subtracts and then with ultrasonic treatment for a short period of time. The solid line area is further enlarged in Fig. 4b. The skeleton of the 3DIO structure is firm and slim, and the corresponding via-holes also can be clearly seen. Fig. 4c and d exhibit the HRTEM image of the 3DIO S3 sample and the corresponding SAED pattern, respectively. In Fig. 4c, the different crystals with clear lattice fringe distances can be observed in the entire HRTEM images, demonstrating that the sample is polycrystalline and highly crystalline. The lattice distances in Fig. 4c are calculated to be ∼0.29 nm and 0.25 nm, which could be assigned to the (222) plane of cubic phase In2O3 and (002) plane of monoclinic phase CuO, respectively. The corresponding SAED pattern in Fig. 4d is just consistent with the above description.
The STEM image is enlarged from the dotted line area in Fig. 4a, which provides similar information to the TEM image (Fig. 4b). Then, to further investigate the specific distribution of In, Cu, and O elements in the 3DIO S3 sample, the EDX mappings are conducted in this area. A homogeneous distribution of In, Cu, and O elements can be clearly seen, and exhibits the same structure with that in STEM, indicating that uniform 3DIO In2O3–CuO samples are obtained.
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| Fig. 5 (a) Responses of the 3DIO S1–S5 sensors to 50 ppm of acetone as a function of the operating temperature. (b) Selectivity of 3DIO S1–S5 on exposure to 5 ppm of various gases. | ||
The gas responses of the 3DIO S1–S5 sensors to 5 ppm various testing gases are tested at the working temperature of 370 °C, including ethanol for drink driving, toluene and methanol for lung cancer, etc.1,23 As shown in Fig. 5b, the 3DIO sensors always exhibit the maximum response to acetone gas, especially for the 3DIO S3 sensor, where its response to acetone is 5.4–9.5 times higher compared to the other gases studied in our work. Then, the anti-interference performance of the 3DIO S3 sensor was further tested to confirm the sensing properties of the as-prepared sensor. In this test, the response value to 5 ppm acetone was compared to the responses to some bi-mixtures that also contained 5 ppm acetone. As listed in Table 1, the sensor responses show a little difference after mixing with the other interference gas, indicating that the anti-interference performance of the 3DIO S3 sensor to acetone is acceptable.
| Gas species (ppm) | Response of S3 sensor |
|---|---|
| 5 acetone | 14.000 |
| 5 acetone + 5 toluene | 15.438 |
| 5 acetone + 5 ethanol | 16.496 |
| 5 acetone + 5 methanol | 15.654 |
To further investigate the performance indicators of the as-fabricated 3DIO sensors, the one circle dynamic process when exposed to 50 ppm acetone gas at the working temperature of 370 °C is shown in Fig. 6a. The responses of all the sensors rapidly increase when contacted with acetone gas, and then reach their stable response levels. After exposure in ambient air, the sensor responses decrease quickly to their original states. The stable response value of the 3DIO S1–S5 sensor shows a similar trend with that in Fig. 5a, that is to say, the 3DIO S3 sensor (Cu/In atom ratio = 16.4%) has the highest response value. Based on Fig. 6a, the corresponding τres and τrec of the 3DIO S1–S5 sensor are calculated and depicted in Fig. 6b. The results demonstrate that τres and τrec exhibit a decreased trend with the increasing amount of CuO, indicating that the introduction of p-type CuO appropriately is helpful of shortening the dynamic process. Moreover, τres and τrec of the 3DIO S3 sensor are ∼8 and 20 s, respectively, which is very close to the lowest values that were obtained in our case (∼7 and 19 s for the 3DIO S5 sensor, respectively).
Since the 3DIO S3 sensor has the best performance, further sensing tests are carried out. Note that the concentration of the acetone biomarker in exhaled breath is very low; detailed tests are conducted focusing on trace gas concentrations (0.5–5 ppm) at 370 °C which can meet the requirements of exhaled gas detection. It is apparent that the 3DIO S3 sensor has a clear response to such a low acetone concentration, and the response increases rapidly with the increase of acetone concentration. Besides, the corresponding τres and τrec are also exhibited in Fig. 6d. As can be seen, the τres and τrec curves slightly decrease with the increase of acetone concentration; this may be attributed to a higher gas concentration needing a shorter time to diffuse to the sensor surface.
The detailed response curves of the 3DIO S3 sensor compared with the 3DIO S1 (pure In2O3) sensor to different acetone concentrations at the working temperature of 370 °C are shown in Fig. 7a. The inset shows the gas sensor response to 0.05–100 ppm acetone gas. It can be seen that the response of the 3DIO S3 sensor increases linearly with the increase of acetone concentration in the studied range at first, and the response values are systematically higher than that of the 3DIO S1 sensor, indicating the advantage of the In2O3–CuO composites. In order to obtain more information about the properties of the 3DIO S3 sensor toward exhaled breath, the corresponding responses in low gas concentrations (0.05–20 ppm) are enlarged in Fig. 7. As can be clearly seen, the 3DIO S3 sensor shows high resolution even to trace acetone concentrations, which could be attributed to the abundant active sites at the 3DIO structure surface and the interactive effect between p-type CuO and n-type In2O3. Besides, the corresponding responses to acetone are below 6.2 for healthy humans (<0.9 ppm) and above 8.7 for diabetics (>1.8 ppm). This 40% response increase may allow reliable diagnosis of diabetic patients by breath acetone monitoring. Moreover, the low detection limit of the 3DIO S3 sensor to acetone is calculated to be ∼30 ppb, when Ra/Rg ≥ 1.2 is used as the criterion for reliable gas sensing; this detection limit is much lower than the exhaled acetone from clinical data of diabetics, which indicates that the sensor could be a promising candidate for the detection of diabetes in the future. Besides, Table 2 lists the response, actual detection limit, and τres and τrec of the 3DIO S3 sensor to acetone obtained in this study and those of other metal oxide semiconductor gas sensors.24–30 As is listed, the sensing performance of the 3DIO S3 sensor is satisfactory, especially as the response is higher than that of the other oxide semiconductor gas sensors listed in the literature, indicating that the as-prepared 3DIO sensor has a good sensing ability for acetone detection.
| Sensing materials | Response (Ra/Rg)/corresponding concentration | Corresponding response in this work | Actual detection limit | Temp. | Res./Rec | Ref. |
|---|---|---|---|---|---|---|
| 3DIO S3 | 4.8/0.5 ppm | 4.8 | 50 ppb | 370 °C | ∼13/20 s | This work |
| ZnFe2O4 microspheres | 1.4/1 ppm | 6.5 | 1 ppm | 215 °C | ∼7.5/200 s | 24 |
| Hierarchical ZnO | 1.16/0.25 ppm | 3.3 | 0.25 ppm | 230 °C | ∼3/— s | 25 |
| Cr2O3 doped WO3 films | 9/20 ppm | 28.3 | 0.5 ppm | 320 °C | ∼20/40 s | 26 |
| Y-doped SnO2 nanofibers | 12/50 ppm | 39.1 | 20 ppm | 260 °C | 9–30/6–9 s | 27 |
| WO3 nanorods | 3.1/0.5 ppm | 4.8 | 0.25 ppm | 230 °C | ∼9/14 s | 28 |
| Pt-WO3 nanober | 1.27/0.3 ppm | 3.7 | 0.3 ppm | 350 °C | — | 29 |
| ZnFe2O4 nanospheres | 12/30 ppm | 31.8 | 800 ppb | 200 °C | ∼9/272 s | 30 |
Taking account of the high humidity environment in exhaled breath, the response of 3DIO S3 is further investigated and compared in a 94 ± 1% relative humidity (RH) environment. The resistance of the sensor at a RH = 94 ± 1% environment is defined as Rh for convenience. As shown in Fig. 7b, the response values of 3DIO S3 in a high RH environment are higher compared to those in air, which may be due to the background response caused by higher humidity. Moreover, the linear slope in RH is nearly the same with that in air, indicating that the 3DIO S3 sensor can detect a low concentration of acetone biomarkers in high RH precisely. The inset in Fig. 7b shows the curve of long-term stability of the 3DIO S3 sensor to 50 ppm acetone at 370 °C in air. As can be seen, only a little variation (no more than ∼7%) can be observed during the whole test process, demonstrating that the 3DIO S3 sensor possesses significant stability. All in all, taking consideration of the advantages of the sensor, the sensor could be a promising candidate for the detection of diabetes in the future.
Upon exposure to reducing gas, the gas molecules can react with the adsorbed ions, and this process could release the trapped electrons back to the conduction band, and then lead to an increase of the conduction channel and carrier concentration of In2O3.
In the case of the 3DIO n-type In2O3–CuO composite, the acetone gas sensing improvement may be attributed to the hetero-contact between the p-type CuO and n-type In2O3. When in the atmosphere, a thicker depletion layer will form near the grain surface of In2O3 and CuO as a p–n hetero-contact. As shown in Fig. S1,† the electrons transfer from CuO to In2O3 and the holes transfer from In2O3 to CuO until an equilibrium state is acquired, due to the disparity of the conduction band and the valence band between In2O3 and CuO. Therefore, a much wider depletion layer is formed, and the numbers of p–n hetero-contacts lead to a remarkable increase in resistance.
As acetone gas is introduced, reactions between acetone and the sensor increase the number of electrons in In2O3 and decrease the concentration of holes in CuO,33 resulting in a significant decrease of sensor resistance. Additionally, the distribution and extent of electrically active contacts of the p–n hetero-contact are also the key parameters in describing the active junction where sensing can take place. In our case, the active junction of the 3DIO S3 sensor may be in the optimal amounts, leading to the enhanced acetone sensing properties. Besides that, the excellent performance of the 3DIO In2O3–CuO sensor could also be attributed to the unique 3DIO via-holes structure. The 3DIO via-holes structure is surface-accessible and could provide more active sites, which are beneficial for the sensing properties. Thus, acetone gas could diffuse not only on the surface but also in the inner regions, thus the gas sensing reaction occurs both on the surface and in the inside, leading to the gas reacting more completely.
In addition, after introducing CuO, the sensors responded in a higher sensitivity to acetone than to the other gases tested in our case. Actually, the detailed mechanism of the selective performance is still not very clear and it can be influenced by many factors, including working temperature, the physical preparation of the sensor material, the speed of the chemical reaction on the surface, the speed of diffusion of the gas to the surface, the charge carrier concentration, and the Debye length in the semiconductor.34–37 In our case, all the gas sensing tests were performed at the optimum working temperature toward acetone gas. However, the optimum working temperatures of the other gases are not at 370 °C (data not shown); this means that the reactions of the sensors with the other types of gases weren’t in the most effective status. This may be the reason why the sensors resulted in a higher sensitivity to acetone than to the other gases tested, because the activation energy of the related reactions is not enough at this temperature.
Footnote |
| † Electronic supplementary information (ESI) available. See DOI: 10.1039/c6ra07483a |
| This journal is © The Royal Society of Chemistry 2016 |