Next Article in Journal
Stereo Vision-Based High Dynamic Range Imaging Using Differently-Exposed Image Pair
Previous Article in Journal
A Comprehensive Study on the Internet of Underwater Things: Applications, Challenges, and Channel Models
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Trimethylamine Sensors Based on Au-Modified Hierarchical Porous Single-Crystalline ZnO Nanosheets

1
College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
2
Department of Mechanical and Automotive Engineering, Anhui Polytechnic University, Wuhu 241000, China
3
Nanomaterials and Environment Detection Laboratory, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, China
*
Author to whom correspondence should be addressed.
Sensors 2017, 17(7), 1478; https://doi.org/10.3390/s17071478
Submission received: 27 May 2017 / Revised: 20 June 2017 / Accepted: 21 June 2017 / Published: 22 June 2017
(This article belongs to the Section Chemical Sensors)

Abstract

:
It is of great significance for dynamic monitoring of foods in storage or during the transportation process through on-line detecting trimethylamine (TMA). Here, TMA were sensitively detected by Au-modified hierarchical porous single-crystalline ZnO nanosheets (HPSCZNs)-based sensors. The HPSCZNs were synthesized through a one-pot wet-chemical method followed by an annealing treatment. Polyethyleneimine (PEI) was used to modify the surface of the HPSCZNs, and then the PEI-modified samples were mixed with Au nanoparticles (NPs) sol solution. Electrostatic interactions drive Au nanoparticles loading onto the surface of the HPSCZNs. The Au-modified HPSCZNs were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM) and energy dispersive spectrum (EDS), respectively. The results show that Au-modified HPSCZNs-based sensors exhibit a high response to TMA. The linear range is from 10 to 300 ppb; while the detection limit is 10 ppb, which is the lowest value to our knowledge.

1. Introduction

Freshness is one of the most important attributes to define the market value for fish in the food industry [1]. Currently, there are many technologies for fish freshness determination based on visible light spectroscopy, electrical properties, image analysis, colour, electronic noses, etc. [2]. Volatile compounds measurement is one of the vital methods to determinate fish freshness. Many volatile compounds contribute to fish odor such as ammonia, trimethylamine (TMA), hydrogen sulphide, and methylmercaptan, etc. [3]. Thereinto, TMA is an effective indicator for freshness of fish which may accelerate the decomposition of trimethyl-N-oxide in fish after death. The lowest detectable concentration of TMA was just at a ppm level so far. It was reported that MoO3 microrods [4] and punched ZnO nanobelt network [5]-based sensors could reach a ppb level response; however, the operating temperature of them were high. Hence, it is significant to develop a highly sensitive and low operating temperature detection method toward TMA at a trace level.
Comparing to other sensing technologies, metal oxide semiconductor sensors have been widely used due to their advantages including low cost, compact size, on-line and simple operation [6,7]. During the past years, sensing metal oxide semiconductors with different morphologies and structures have been used to fabricate gas sensors, such as punched ZnO nanobelt network [5], SnO2-ZnO nanocomposite [8], TiO2-SnO2 nanocomposite [9], ZnO-In2O3 composite nanofibers [10], CdO-Fe2O3 nanomaterials [11], and branch-like hierarchical hetero-structure (α-Fe2O3/TiO2) [12]. ZnO has been used as gas-sensing materials because of its unique electronic properties [13]. It has been reported that Liu et al. [14] synthesized porous single-crystalline ZnO nanosheets which not only exhibit high gas-sensing responses, short response time and recovery time, but also possess significant long-term stability. Haiyan Song et al. [15] synthesized three kinds of porous ZnO nanostructures and found that the porous single-crystalline ZnO nanosheets showed high gas-sensing property.
As described previously, most of the sensing materials for TMA sensors are composed of ZnO with different morphologies which are doped by p-type semiconductor to improve sensing properties. Hyung-SikWoo et al. [16] prepared one-dimensional ZnO-Cr2O3 hetero-nanostructures which exhibited high selectivity and sensitivity to TMA due to the p–n junctions. Durgajanani Sivalingam et al. [17] fabricated Mn-doped ZnO thin film showing a detection limit of 5 ppm, because of the increasing of the electrical conductance due to the Mn in ZnO thin film.
Introduction of noble metals into metal oxide semiconductor sensing materials has been widely used for the enhancement of gas-sensing properties [18,19,20,21,22]. The noble metals act as catalysts for dissociation of gas molecules into more reactive species, thereby improving the gas sensitivity [23]. In our previous work, Ag and Pt have been used to decorate porous single-crystalline ZnO nanosheets and Au has been used to modify flower-like hierarchical ZnO structures, which exhibited high responses to volatile organic compounds (VOCs) [24,25,26].
Herein, combining the advantage of noble-metal modification with the hierarchical porous single-crystalline ZnO structures, the Au-modified hierarchical porous single-crystalline ZnO nanosheets (HPSCZNs) are presented. The results show that the fabricated sensors exhibit excellent sensing performance to TMA at 260 °C.

2. Experiment

2.1. Materials and Instrumentation

Zinc acetate, Urea, Chloroauric acid, Sodium citrate and Polyethyleneimine (PEI) were all purchased from Sinopharm Chemical Reagent Co., Ltd. (Shanghai, China) and analytically pure grade.
The crystal structure of the samples was determined on X-ray diffraction (XRD, Philips X’pert PRO, Eindhoven, The Netherlands) with CuKα radiation. Furthermore, the morphologies of the samples were characterized on field-emission scanning electron microscopy (FE-SEM, Sirion-200, FEI Company, Houston, TX, USA) and high-resolution transmission electron microscopy (HRTEM, JEM-2010, JEO, Tokyo, Japan). Energy dispersive spectroscopy (EDS) was measured on INCA X-Max 50 (Oxford Instruments, Oxford, UK). Zeta potential was measured on Potential analyzer Zeta Check (Horiba Scientific, Kyoto, Japan).

2.2. Preparation of the HPSCZNs

The HPSCZNs were synthesized by a one-pot wet-chemical method followed by an annealing treatment [27,28,29]. A typical procedure is as follows; 3.5 g of urea and 1 g of zinc acetate were dissolved into 40 mL of deionized water. After stirring for 30 min, the transparent solution was sealed in a conical flask and following a heat treatment at 95 °C for 6 h in an oven. Naturally cooling down, the white precipitate was then centrifuged and washed by deionized water and ethanol three times and then dried at 60 °C. Lastly, the HPSCZNs were obtained after annealing the precursor at 300 °C for 2 h in air in a muffle furnace.

2.3. Synthesis of the Au Nanoparticles (NPs) and Au-Modified HPSCZNs

Au nanoparticles (NPs) were synthesized by classical Frens method [30]. One hundred milliliters of 0.01% HAuCl4 was heated to boil in a three-necked flask, and then 4 mL of sodium citrate solution was added. The Au NPs were obtained when the solution’s color became red wine.
Forty milligrams of HPSCZNs were added into 80 mL of polyethyleneimine (PEI) solution (pH = 8), and then stirred for 1 h. In addition, the PEI-modified HPSCZNs were centrifuged and washed by deionized water three times and then dried at 70 °C. Finally, 40 mg of PEI-modified HPSCZNs were added into 10 mL of Au NPs sol solution and stirred for 20 min for several times (1, 2, 3, 4 and 5 times) to modify different contents of Au NPs on the HPSCZNs (#1, #2, #3, #4 and #5 samples). Finally, they were centrifuged and coated onto ceramic tube as sensing materials. The sensing materials need to be heated at 300 °C for 2 h in the muffle furnace to remove the PEI before gas-sensing measurement.

2.4. Gas-Sensing Measurement System and the Gas Sensor Fabrication

The abridged general view of the gas-sensing measurement system is showed in Figure 1. The gas-sensing measurement system is installed in a square and closed test chamber with a volume of 1000 mL. The sensor is placed in the center of the test chamber. The sensing materials are coated on the ceramic tube with a pair of pre-prepared gold electrodes. A piece of nichrome wire about 32 Ω as heating wire is placed in the interior of the ceramic tube. There are inlets and outlets for gas flow. A Keithley 6487 picoameter/voltage source meter was used to record the change of current as well as to provide a power source. Applying a constant voltage of 1 V onto the electrodes between the sensing films, the current flowing through it was measured and captured. According to the gas-sensing test, a certain number of different volumes’ organic vapors (e.g., ethanol, ammonia, TMA and acetone, etc.) were introduced into the test chamber from the headspace above the liquid samples by a microsyringe [31,32]. The nominal sample concentration is calculated by the following formula:
C = P 0 × V i P a × V c
where P0 is the equilibrium vapor pressure at room temperature; Pa is the standard atmosphere pressure; Vi is the volume of the test gas injected by the microsyringe; Vc is the volume of the test chamber. The low concentrations of samples were prepared by diluting the vapors in a vessel before injecting them into the test chamber. At last, after injecting fresh air to release the target gas in the testing chamber, the gas-sensing measurement was finished.
The response of the sensor is defined as:
S = Ra/Rg = Ig/Ia
In the equation, Ra and Rg are the electric resistances of the sensor in air and target gas, respectively. Ia and Ig are electric currents of the sensor which represent air and target gas, respectively.
The response time is defined as the time when the change of current reaches 90% of the balanced current on exposure to a target gas. Similarly, the recovery time is defined as the time reached a 90% reversal of the current.

3. Results and Discussion

3.1. Characterization of the Au-Modified HPSCZNs

Figure 2 shows XRD patterns of both the unmodified and the Au-modified HPSCZNs. All observed diffraction peaks match well with wurtzite ZnO (JCPDS 36-1451). Furthermore, as we can see, the diffraction peaks are narrow, suggesting that the ZnO crystallizes well. In addition, a weak peak of Au (111) appears in the pattern of the Au-modified HPSCZNs.
The specific hierarchical, porous, single-crystalline structure of ZnO is further characterized by FE-SEM in Figure 3. At first, the hierarchical structure is showed in a low-magnification SEM image in Figure 3a. Many pieces of nanosheets are linked to each other, which seems like a peony with a diameter of about 15 μm. Figure 3b is a single ultra-thin nanosheet of the “flower” in a high magnification. Figure 3c,d show microstructures and corresponding selected area electron diffraction (SAED) pattern of the HPSCZNs investigated by TEM images. It can be seen that quantities of irregular nanosized mesopores randomly distribute over the single nanosheet. The latter consists of a series of well-ordered bright dots suggesting a single-crystalline structure.
Figure 4 shows the characteristics of the Au-modified HPSCZNs. Figure 4a shows the SEM image of a nanosheet loading with uniform Au NPs. Figure 4b,c are the TEM and HRTEM images of Au-modified HPSCZNs, which shows that Au NPs adsorb on the surface of the ZnO. The clear and coherent lattice fringes of ZnO are also observed. The lattice spacing of 0.26 nm can be indexed to the (002) planes of the hexagonal phase of ZnO. Au NPs can be combined with ZnO through the electrostatic interactions, since citric acid carries negative charges while PEI carries positive charges. Figure 4d is the EDS spectrum of Au-modified HPSCZNs, which shows that the as-synthesized porous products compose of element Zn, O and Au.

3.2. Formation Process of Au-Modified HPSCZNs

Schematic illustration of the formation process of the Au-modified HPSCZNs are shown in Figure 5. Briefly, the formation process of Au-modified HPSCZNs contains three steps: the formation of the precursor (Zn4CO3(OH)6·H2O), the annealing treatment of the precursor and the modification of Au NPs.
Firstly, crystalline nuclei form in the solution of zinc salt and urea, and then nuclei grow up via Ostwald ripening. Owing to the intrinsic anisotropic character of hexagonal structure, the aggregations would rearrange themselves and grow up along the c-axis to decrease the energy of the system during that process [33]. Chemical reactions of the precursor formation mechanism are as follows [34]:
C O ( N H 2 ) 2 + 3 H 2 O C O + 2 N H 4 O H
N H 4 O H N H 4 + + OH
4 Z n 2 + + CO 2 + 6 O H + 2 H 2 O Z n 4 C O 3 ( O H ) 6 H 2 O + 2 H +
The precursor decomposes to release CO2 and H2O under annealing at 300 °C as the following equation:
Z n 4 C O 3 ( OH ) 6 H 2 O 4 Z n O + C O 2 + 4 H 2 O
As showed in Figure 6, Zeta potential of HPSCZNs are all negative when pH changes from 6 to 11. When modified with Au NPs, Zeta potential changes to positive as pH is lower than 9.5.
When mixing HPSCZNs with PEI aqueous solution, electrostatic interactions enable PEI loading on the surface of HPSCZNs. In this condition, surface charges of the HPSCZNs are adjusted to positive. The Au NPs are negative charged due to the citric acid on its surface.

3.3. Operating Temperature of Au-Modified HPSCZNs

Reactions between target gases and the adsorbed oxygen species on material surface is related to the activity of the adsorbed oxygen species. At different temperatures, there are two types of adsorbed oxygen species, one is molecular ion (O2), another is atomic ions (O, O2−). The atomic form dominates above 150 °C, while molecular species work at lower temperature [35]. Figure 7 shows the plots of the response versus working temperature of the Au-modified HPSCZNs and the unmodified HPSCZNs-based sensors to 30 ppm of TMA. As we can see, the Au-modified HPSCZNs sensor exhibits different responses as shown in Figure 7a. The sensitivity is highest at 260 °C, which is lower than the unmodified HPSCZNs sensor showed in Figure 7b, which is caused by the Au modification [36].

3.4. Gas-Sensing Property of Different Contents of Au NPs-Modified HPSCZNs

Figure 8 shows the response curves of HPSCZNs with different contents of Au NPs modification to 100 ppb of TMA. In the modification process, PEI-modified HPSCZNs were centrifuged and washed by deionized water. If content of PEI was too high, Au NPs would aggregate and then the improvement of sensing properties would be poor. Therefore, the content of PEI is also needed to be proper. The greatest factor that influences sensitivity is the contents of Au NPs. From the responses, it can be observed that sample #3 possesses the highest response, which means that there are times that Au NPs modification is optimal in the synthesis process. That is because the Au NPs could aggregate together when the Au NPs modification is overdosed, which makes the response reduce.

3.5. Comparison of Unmodified and Au-Modified HPSCZNs Sensors to TMA

In order to investigate gas properties of unmodified and Au-modified HPSCZNs sensors, response curves of them to TMA is shown in Figure 9. It is clear that the response curve of the Au-modified HPSCZNs sensor is higher than that of the unmodified HPSCZNs sensor to 30 ppm TMA. The response is 5.9 and the response and recovery times of them are 21 s and 70.5 s, respectively. The response of the modified one is 65.8 and the response and recovery times are 3.3 s and 64 s, respectively. The Au-modified HPSCZNs sensor processes higher response and shorter response and recovery times compared to the one without modification, which might be relevant to modification of Au NPs.

3.6. Gas-Sensing Property of the Au-Modified HPSCZNs Sensor to TMA

The responses of the Au-modified HPSCZNs to TMA are shown in Figure 10. Figure 10a shows the real-time response curve of the sensor to different concentrations of TMA. Obviously, the responses of the sensor increase with TMA concentration. At the beginning, the adsorption reaction dominates the dynamic process and desorption interaction appears gradually and tends to be stable ultimately. The response linearly increases in the range from 10 to 300 ppb as shown in Figure 10b. The lowest detection concentration is 10 ppb, which is an extremely low level to our knowledge.

3.7. Selectivity and Stability of the Au-Modified HPSCZNs Sensors

It was reported that ZnO structure gas sensors showed response to many gases: CH3COCH3, CO, C2H5OH, H2S, HCHO, etc. [37]. Nevertheless, response comparison of 30 ppm TMA and other gases at 260 °C suggest that the Au-modified HPSCZNs sensor have high selectivity to TMA as shown in Figure 11. Response of TMA is two times higher than that of ammonia. The reactivity of the reducing gases determines the sensor’s sensitivity, so the mechanism of high selectivity to TMA can be explained from the bond energy. The molecular structures and the bond energies of many gases are showed in Table 1 [38]. The bond energy of H–CH2 with the highest response is only 380.7 KJ/mol, which is smaller than any other organic gases in the table. Therefore, H–CH2 can be easily broken to take part in adsorption reaction with sensing material; all of this results in the high selectivity of TMA.
Stability has been investigated by the gas response of Au-modified HPSCZNs sensors to 100 ppb of TMA within 21 days as shown in Figure 12. During the experimental process, the response of the Au-modified HPSCZNs sensor hardly floats up and down, indicating that the Au-modified HPSCZNs sensors exhibit a good stability.

3.8. Sensing Mechanism of Au-Modified HPSCZNs

The Au-modified HPSCZNs sensor becomes more sensitive due to the mesopores on each nanosheet, hierarchical morphology, single-crystalline structure and Au NPs modification. On one hand, mesopores enlarge specific surface area of HPSCZNs and offer plenty of active sites for surface chemical reactions; on the other hand, hierarchical structure enables gases to diffuse into the film and the inner of the material by molecular diffusion [39,40,41]. Given as a Knudsen flow, the diffusion coefficient can be defined by the following equation [42]:
D K = ε d 3 τ ( 8 R T π M ) 1 2
where Dk, ε, d, τ, R, T and M are Knudsen diffusion coefficients, dimensionless porosity, dimensionless tortuosity, pore diameter, gas constant, temperature and molar mass, respectively. Obviously, the gas diffusion is proportional to pore diameter and porosity presented in the equation, the pore diameter of HPSCZNs is around 30 nm; smaller and less overlapped necks interact with test gases, which results from a greater porosity [43]. On the basis of these two advantages, gas molecules are permitted to diffuse into the film rapidly. What is more, single-crystalline structure also plays a significant role for improving sensitivity. As is known to all, electrons need to overcome boundary barrier between particles when they transport from one side to another; it would obviously decrease the sensitivity. The as-prepared products that contain lots of single-crystalline ZnO nanosheet structures that comply with the grain boundary barrier model are equivalent to reduce particle boundary barriers, and further increase the sensitivity and stability. Lastly, Au NPs modification acts as the most critical role to improve the sensitivity. It not only possesses high catalytic activity but also increases the depth of the space-charge layers [44]. When the sensor exposes to air, Au NPs accelerate O2 which is adsorbed on the surface of HPSCZNs capturing electrons to form O2, O and O2− ions.

4. Conclusions

In conclusion, HPSCZNs were successfully synthesized. Under the optimal operating temperature of 260 °C, the Au-modified HPSCZNs sensor exhibits a high response to TMA. The linear range is 10–300 ppb; while the lowest detection is 10 ppb. The Au-modified HPSCZNs, combining with the advantages of high response, long-term stability, low power consumption and cost, may provide a novel pathway to make gas sensors for the detection of the freshness of fish and some other foods.

Acknowledgments

This work was supported by the National Basic Research Program of China (2013CB934304), the National Natural Science Foundation of China (61673367, 61374017, 61573334 and 31571567) and the Key Technologies R & D Program of Anhui Province (1501021005).

Author Contributions

Fanli Meng andYufeng Sun conceived and designed the experiments; Hanxiong Zheng and Fanli Meng performed the experiments; Fanli Meng, Hanxiong Zheng, Yufeng Sun and Jinhuai Liu analyzed the data; Minqiang Li contributed reagents/materials/analysis tools; Fanli Meng and Hanxiong Zheng wrote the paper.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Garcia, M.R.; Cabo, M.L.; Herrera, J.R.; Ramilo-Fernandez, G.; Alonso, A.A.; Balsa-Canto, E. Smart sensor to predict retail fresh fish quality under ice storage. J. Food Eng. 2017, 197, 87–97. [Google Scholar] [CrossRef]
  2. Olafsdottir, G.; Nesvadba, P.; Di Natale, C.; Careche, M.; Oehlenschager, J.; Tryggvadottir, S.V.; Schubring, R.; Kroeger, M.; Heia, K.; Esaiassen, M.; et al. Multisensor for fish quality determination. Trends Food Sci. Tech. 2004, 15, 86–93. [Google Scholar] [CrossRef]
  3. Cheng, J.H.; Sun, D.W.; Zeng, X.A.; Liu, D. Recent Advances in Methods and Techniques for Freshness Quality Determination and Evaluation of Fish and Fish Fillets: A Review. Crit. Rev. Food Sci. 2015, 55, 1012–1025. [Google Scholar] [CrossRef] [PubMed]
  4. Chu, X.F.; Liang, S.M.; Sun, W.Q.; Zhang, W.B.; Chen, T.Y.; Zhang, Q.F. Trimethylamine sensing properties of sensors based on MoO3 microrods. Sens. Actuators B Chem. 2010, 148, 399–403. [Google Scholar] [CrossRef]
  5. Na, C.W.; Park, S.Y.; Lee, J.H. Punched ZnO nanobelt networks for highly sensitive gas sensors. Sens. Actuators B Chem. 2012, 174, 495–499. [Google Scholar] [CrossRef]
  6. Meng, F.L.; Li, H.H.; Kong, L.T.; Liu, J.Y.; Jin, Z.; Li, W.; Jia, Y.; Liu, J.H.; Huang, X.J. Parts per billion-level detection of benzene using SnO2/graphene nanocomposite composed of sub-6 nm SnO2 nanoparticles. Anal. Chim. Acta 2012, 736, 100–107. [Google Scholar] [CrossRef] [PubMed]
  7. Sun, Y.F.; Huang, X.J.; Meng, F.L.; Liu, J.H. Study of influencing factors of dynamic measurements based on SnO2 gas sensor. Sensors 2004, 4, 95–104. [Google Scholar] [CrossRef]
  8. Zhang, W.H.; Zhang, W.D. Fabrication of SnO2-ZnO nanocomposite sensor for selective sensing of trimethylamine and the freshness of fishes. Sens. Actuators B Chem. 2008, 134, 403–408. [Google Scholar] [CrossRef]
  9. Jung, J.Y.; Lee, C.S. Characteristics of the TiO2/SnO2 thick film semiconductor gas sensor to determine fish freshness. J. Ind. Eng. Chem. 2011, 17, 237–242. [Google Scholar] [CrossRef]
  10. Lee, C.S.; Kim, I.D.; Lee, J.H. Selective and sensitive detection of trimethylamine using ZnO-In2O3 composite nanofibers. Sens. Actuators B Chem. 2013, 181, 463–470. [Google Scholar] [CrossRef]
  11. Chu, X.F.; Liang, S.M.; Chen, T.Y.; Zhang, Q.F. Trimethylamine sensing properties of CdO-Fe2O3 nano-materials prepared using co-precipitation method in the presence of PEG400. Mater. Chem. Phys. 2010, 123, 396–400. [Google Scholar] [CrossRef]
  12. Lou, Z.; Li, F.; Deng, J.A.; Wang, L.L.; Zhang, T. Branch-like Hierarchical Heterostructure (alpha-Fe2O3/TiO2): A Novel Sensing Material for Trimethylamine Gas Sensor. Acs Appl. Mater. Interfaces 2013, 5, 12310–12316. [Google Scholar] [CrossRef] [PubMed]
  13. Jin, Z.; Zhang, Y.X.; Meng, F.L.; Jia, Y.; Luo, T.; Yu, X.Y.; Wang, J.; Liu, J.H.; Huang, X.J. Facile synthesis of porous single crystalline ZnO nanoplates and their application in photocatalytic reduction of Cr(VI) in the presence of phenol. J. Hazard. Mater. 2014, 276, 400–407. [Google Scholar] [CrossRef] [PubMed]
  14. Liu, J.Y.; Guo, Z.; Meng, F.L.; Luo, T.; Li, M.Q.; Liu, J.H. Novel porous single-crystalline ZnO nanosheets fabricated by annealing ZnS(en)0.5 (en = ethylenediamine) precursor. Application in a gas sensor for indoor air contaminant detection. Nanotechnology 2009, 20. [Google Scholar] [CrossRef] [PubMed]
  15. Song, H.Y.; Yang, H.; Ma, X.C. A comparative study of porous ZnO nanostructures synthesized from different zinc salts as gas sensor materials. J. Alloy. Compd. 2013, 578, 272–278. [Google Scholar] [CrossRef]
  16. Woo, H.S.; Na, C.; Kim, I.D.; Lee, J.H. Highly sensitive and selective trimethylamine sensor using one-dimensional ZnO-Cr2O3 hetero-nanostructures. Nanotechnology 2012, 23. [Google Scholar] [CrossRef] [PubMed]
  17. Sivalingam, D.; Gopalakrishnan, J.B.; Rayappan, J.B.B. Structural, morphological, electrical and vapour sensing properties of Mn doped nanostructured ZnO thin films. Sens. Actuators B Chem. 2012, 166, 624–631. [Google Scholar] [CrossRef]
  18. Joshi, R.K.; Hu, Q.; Am, F.; Joshi, N.; Kumar, A. Au Decorated Zinc Oxide Nanowires for CO Sensing. J. Phys. Chem C 2009, 113, 16199–16202. [Google Scholar] [CrossRef]
  19. Tamaekong, N.; Liewhiran, C.; Wisitsoraat, A.; Phanichphant, S. Sensing Characteristics of Flame-Spray-Made Pt/ZnO Thick Films as H2 Gas Sensor. Sensors 2009, 9, 6652–6669. [Google Scholar] [CrossRef] [PubMed]
  20. Simon, Q.; Barreca, D.; Gasparotto, A.; Maccato, C.; Tondello, E.; Sada, C.; Comini, E.; Devi, A.; Fischer, R.A. Ag/ZnO nanomaterials as high performance sensors for flammable and toxic gases. Nanotechnology 2012, 23. [Google Scholar] [CrossRef] [PubMed]
  21. Zhu, G.X.; Liu, Y.J.; Xu, H.; Chen, Y.; Shen, X.P.; Xu, Z. Photochemical deposition of Ag nanocrystals on hierarchical ZnO microspheres and their enhanced gas-sensing properties. Crystengcomm 2012, 14, 719–725. [Google Scholar] [CrossRef]
  22. Meng, F.L.; Guo, Z.; Huang, X.J. Graphene-based hybrids for chemiresistive gas sensors. TrAC Trends Anal. Chem. 2015, 68, 37–47. [Google Scholar] [CrossRef]
  23. Kim, S.S.; Park, J.Y.; Choi, S.W.; Kim, H.S.; Na, H.G.; Yang, J.C.; Kim, H.W. Significant enhancement of the sensing characteristics of In2O3 nanowires by functionalization with Pt nanoparticles. Nanotechnology 2010, 21. [Google Scholar] [CrossRef] [PubMed]
  24. Meng, F.L.; Hou, N.N.; Jin, Z.; Sun, B.; Guo, Z.; Kong, L.T.; Xiao, X.H.; Wu, H.; Li, M.Q.; Liu, J.H. Ag-decorated ultra-thin porous single-crystalline ZnO nanosheets prepared by sunlight induced solvent reduction and their highly sensitive detection of ethanol. Sens. Actuators B Chem. 2015, 209, 975–982. [Google Scholar] [CrossRef]
  25. Meng, F.L.; Hou, N.N.; Jin, Z.; Sun, B.; Li, W.Q.; Xiao, X.H.; Wang, C.; Li, M.Q.; Liu, J.H. Sub-ppb detection of acetone using Au-modified flower-like hierarchical ZnO structures. Sens. Actuators B Chem. 2015, 219, 209–217. [Google Scholar] [CrossRef]
  26. Gu, C.P.; Huang, H.H.; Huang, J.R.; Jin, Z.; Zheng, H.X.; Liu, N.; Li, M.Q.; Liu, J.H.; Meng, F.L. Chlorobenzene sensor based on Pt-decorated porous single-crystalline ZnO nanosheets. Sens. Actuators A Phys. 2016, 252, 96–103. [Google Scholar] [CrossRef]
  27. Meng, F.L.; Ge, S.; Jia, Y.; Sun, B.; Sun, Y.F.; Wang, C.; Wu, H.; Jin, Z.; Li, M.Q. Interlaced nanoflake-assembled flower-like hierarchical ZnO microspheres prepared by bisolvents and their sensing properties to ethanol. J. Alloy Compd. 2015, 632, 645–650. [Google Scholar] [CrossRef]
  28. Meng, F.L.; Hou, N.N.; Ge, S.; Sun, B.; Jin, Z.; Shen, W.; Kong, L.T.; Guo, Z.; Sun, Y.F.; Wu, H.; et al. Flower-like hierarchical structures consisting of porous single-crystalline ZnO nanosheets and their gas sensing properties to volatile organic compounds (VOCs). J. Alloy Compd. 2015, 626, 124–130. [Google Scholar] [CrossRef]
  29. Hou, N.N.; Jin, Z.; Sun, B.; Sun, Y.F.; Shen, W.; Guo, Z.; Kong, L.T.; Li, M.Q.; Meng, F.L. New Strategy for Rapid Detection of the Simulants of Persistent Organic Pollutants Using Gas Sensor Based on 3-D Porous Single-Crystalline ZnO Nanosheets. IEEE Sens. J. 2015, 15, 3668–3674. [Google Scholar] [CrossRef]
  30. Frens, G. Controlled Nucleation for the Regulation of the Particle Size in Monodisperse Gold Suspensions. Nat. Phys. Sci. 1973, 241, 20–22. [Google Scholar] [CrossRef]
  31. Pavluchenko, A.S.; Mamykin, A.V.; Kukla, A.L.; Konoshchuk, N.V.; Posudievsky, O.Y.; Koshechko, V.G. Estimation of multicomponent organic solvent vapor mixture composition with electroconducting polymer chemiresistors. Sens. Actuators B Chem. 2016, 232, 203–218. [Google Scholar] [CrossRef]
  32. Wang, Q.J.; Liu, F.M.; Lin, J.; Lu, G.Y. Gas-sensing properties of In-Sn oxides composites synthesized by hydrothermal method. Sens. Actuators B Chem. 2016, 234, 130–136. [Google Scholar] [CrossRef]
  33. Kwon, T.H.; Park, S.H.; Ryu, J.Y.; Choi, H.H. Zinc oxide thin film doped with Al2O3, TiO2 and V2O5 as sensitive sensor for trimethylamine gas. Sens. Actuators B Chem. 1998, 46, 75–79. [Google Scholar]
  34. Chang, J.; Ahmad, M.Z.; Wlodarski, W.; Waclawik, E.R. Self-Assembled 3D ZnO Porous Structures with Exposed Reactive {0001} Facets and Their Enhanced Gas Sensitivity. Sensors 2013, 13, 8445–8460. [Google Scholar] [CrossRef] [PubMed]
  35. Barsan, N.; Weimar, U. Conduction model of metal oxide gas sensors. J. Electroceram. 2001, 7, 143–167. [Google Scholar] [CrossRef]
  36. Guo, J.; Zhang, J.; Zhu, M.; Ju, D.X.; Xu, H.Y.; Cao, B.Q. High-performance gas sensor based on ZnO nanowires functionalized by Au nanoparticles. Sens. Actuators B Chem. 2014, 199, 339–345. [Google Scholar] [CrossRef]
  37. Luo, X.J.; Lou, Z.; Wang, L.L.; Zheng, X.J.; Zhang, T. Fabrication of flower-like ZnO nanosheet and nanorod-assembled hierarchical structures and their enhanced performance in gas sensors. New J. Chem. 2014, 38, 84–89. [Google Scholar] [CrossRef]
  38. Liu, Z.T.; Fan, T.X.; Zhang, D.; Gong, X.L.; Xu, J.Q. Hierarchically porous ZnO with high sensitivity and selectivity to H(2)S derived from biotemplates. Sens. Actuators B Chem. 2009, 136, 499–509. [Google Scholar] [CrossRef]
  39. Li, H.H.; Meng, F.L.; Liu, J.Y.; Sun, Y.F.; Jin, Z.; Kong, L.T.; Hu, Y.J.; Liu, J.H. Synthesis and gas sensing properties of hierarchical meso-macroporous SnO2 for detection of indoor air pollutants. Sens. Actuators B Chem. 2012, 166, 519–525. [Google Scholar] [CrossRef]
  40. Matsunaga, N.; Sakai, G.; Shimanoe, K.; Yamazoe, N. Formulation of gas diffusion dynamics for thin film semiconductor gas sensor based on simple reaction-diffusion equation. Sens. Actuators B Chem. 2003, 96, 226–233. [Google Scholar] [CrossRef]
  41. Sakai, G.; Matsunaga, N.; Shimanoe, K.; Yamazoe, N. Theory of gas-diffusion controlled sensitivity for thin film semiconductor gas sensor. Sens. Actuators B Chem. 2001, 80, 125–131. [Google Scholar] [CrossRef]
  42. Yang, J.H.; Cermakova, J.; Uchytil, P.; Hamel, C.; Seidel-Morgenstern, A. Gas phase transport, adsorption and surface diffusion in a porous glass membrane. Catal. Today 2005, 104, 344–351. [Google Scholar] [CrossRef]
  43. Korotcenkov, G. The role of morphology and crystallographic structure of metal oxides in response of conductometric-type gas sensors. Mat. Sci. Eng. R 2008, 61, 1–39. [Google Scholar] [CrossRef]
  44. Liu, C.; Kuang, Q.; Xie, Z.X.; Zheng, L.S. The effect of noble metal (Au, Pd and Pt) nanoparticles on the gas sensing performance of SnO2-based sensors: A case study on the {221} high-index faceted SnO2 octahedra. CrystEngComm 2015, 17, 6308–6313. [Google Scholar] [CrossRef]
Figure 1. Schematic diagrams of the experimental system and the gas sensor.
Figure 1. Schematic diagrams of the experimental system and the gas sensor.
Sensors 17 01478 g001
Figure 2. XRD patterns of the unmodified hierarchical porous single-crystalline ZnO nanosheets (HPSCZNs) (JCPDS 36-1451) and the Au-modified HPSCZNs.
Figure 2. XRD patterns of the unmodified hierarchical porous single-crystalline ZnO nanosheets (HPSCZNs) (JCPDS 36-1451) and the Au-modified HPSCZNs.
Sensors 17 01478 g002
Figure 3. (a,b) SEM images, (c) TEM image and (d) corresponding SAED pattern of HPSCZNs.
Figure 3. (a,b) SEM images, (c) TEM image and (d) corresponding SAED pattern of HPSCZNs.
Sensors 17 01478 g003
Figure 4. (a) SEM image, (b) TEM image, (c) lattice-resolved high-resolution transmission electron microscopy (HRTEM) image and (d) energy dispersive spectroscopy (EDS) spectrum of the Au-modified HPSCZNs.
Figure 4. (a) SEM image, (b) TEM image, (c) lattice-resolved high-resolution transmission electron microscopy (HRTEM) image and (d) energy dispersive spectroscopy (EDS) spectrum of the Au-modified HPSCZNs.
Sensors 17 01478 g004
Figure 5. Schematic illustration of the formation process of the Au-modified HPSCZNs.
Figure 5. Schematic illustration of the formation process of the Au-modified HPSCZNs.
Sensors 17 01478 g005
Figure 6. Relationship between Zeta potential of HPSCZNs and PEI-HPSCZN with different pH value.
Figure 6. Relationship between Zeta potential of HPSCZNs and PEI-HPSCZN with different pH value.
Sensors 17 01478 g006
Figure 7. Operating temperature of (a) the Au-modified HPSCZNs and (b) the unmodified HPSCZNs-based sensors to 30 ppm of trimethylamine (TMA).
Figure 7. Operating temperature of (a) the Au-modified HPSCZNs and (b) the unmodified HPSCZNs-based sensors to 30 ppm of trimethylamine (TMA).
Sensors 17 01478 g007
Figure 8. Response curves of the HPSCZNs sensor with different contents of Au NPs to 100 ppb of TMA.
Figure 8. Response curves of the HPSCZNs sensor with different contents of Au NPs to 100 ppb of TMA.
Sensors 17 01478 g008
Figure 9. Response curves of the unmodified and the Au-modified HPSCZNs sensors to 30 ppm of TMA at 260 °C.
Figure 9. Response curves of the unmodified and the Au-modified HPSCZNs sensors to 30 ppm of TMA at 260 °C.
Sensors 17 01478 g009
Figure 10. (a) Responses of the Au-modified HPSCZNs structures to different concentrations of TMA and (b) the corresponding calibration curve.
Figure 10. (a) Responses of the Au-modified HPSCZNs structures to different concentrations of TMA and (b) the corresponding calibration curve.
Sensors 17 01478 g010
Figure 11. Response comparison of 30 ppm of TMA and 30 ppm of other volatile organic compounds (VOCs) at 260 °C.
Figure 11. Response comparison of 30 ppm of TMA and 30 ppm of other volatile organic compounds (VOCs) at 260 °C.
Sensors 17 01478 g011
Figure 12. Stability of the Au-modified HPSCZNs sensor to 100 ppb of TMA.
Figure 12. Stability of the Au-modified HPSCZNs sensor to 100 ppb of TMA.
Sensors 17 01478 g012
Table 1. Properties of gas molecules.
Table 1. Properties of gas molecules.
Gas TypeMolecular StructuresBondBond Energy (KJ/mol)
Formaldehyde Sensors 17 01478 i001H–CHO436
Ethanol Sensors 17 01478 i002H–OCH2CH3436
H–CH2473
H–CH452
Acetone Sensors 17 01478 i003H–CH2OCH3393
Ammonia Sensors 17 01478 i004H–NH2435
TMA Sensors 17 01478 i005H–CH2380.7

Share and Cite

MDPI and ACS Style

Meng, F.; Zheng, H.; Sun, Y.; Li, M.; Liu, J. Trimethylamine Sensors Based on Au-Modified Hierarchical Porous Single-Crystalline ZnO Nanosheets. Sensors 2017, 17, 1478. https://doi.org/10.3390/s17071478

AMA Style

Meng F, Zheng H, Sun Y, Li M, Liu J. Trimethylamine Sensors Based on Au-Modified Hierarchical Porous Single-Crystalline ZnO Nanosheets. Sensors. 2017; 17(7):1478. https://doi.org/10.3390/s17071478

Chicago/Turabian Style

Meng, Fanli, Hanxiong Zheng, Yufeng Sun, Minqiang Li, and Jinhuai Liu. 2017. "Trimethylamine Sensors Based on Au-Modified Hierarchical Porous Single-Crystalline ZnO Nanosheets" Sensors 17, no. 7: 1478. https://doi.org/10.3390/s17071478

APA Style

Meng, F., Zheng, H., Sun, Y., Li, M., & Liu, J. (2017). Trimethylamine Sensors Based on Au-Modified Hierarchical Porous Single-Crystalline ZnO Nanosheets. Sensors, 17(7), 1478. https://doi.org/10.3390/s17071478

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop