Issue

Vol. 13 (2021)

Berlin Green Framework-Based Gas Sensor for Room-Temperature and High-Selectivity Detection of Ammonia

https://doi.org/10.1007/s40820-020-00586-z
Tingqiang Yang
Institute of Microscale Optoelectronics, Collaborative Innovation Centre for Optoelectronic Science and Technology, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen Key Laboratory of Micro‑Nano Photonic Information Technology, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen 518060, People’s Republic of China
Lingfeng Gao
Institute of Microscale Optoelectronics, Collaborative Innovation Centre for Optoelectronic Science and Technology, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen Key Laboratory of Micro‑Nano Photonic Information Technology, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen 518060, People’s Republic of China
Wenxuan Wang
State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, People’s Republic of China
Jianlong Kang
Institute of Microscale Optoelectronics, Collaborative Innovation Centre for Optoelectronic Science and Technology, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen Key Laboratory of Micro‑Nano Photonic Information Technology, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen 518060, People’s Republic of China
Guanghui Zhao
Research Center for Materials Genome Engineering, Wuhan University of Technology, Wuhan 430070, People’s Republic of China
Delong Li
Institute of Microscale Optoelectronics, Collaborative Innovation Centre for Optoelectronic Science and Technology, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen Key Laboratory of Micro‑Nano Photonic Information Technology, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen 518060, People’s Republic of China
Wen Chen
State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, People’s Republic of China
Han Zhang
Institute of Microscale Optoelectronics, Collaborative Innovation Centre for Optoelectronic Science and Technology, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen Key Laboratory of Micro‑Nano Photonic Information Technology, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen 518060, People’s Republic of China

Corresponding Author: Han Zhang

hzhang@szu.edu.cn

Nano-Micro Letters, Vol. 13 (2021), Article Number: 63

Abstract

Ammonia detection possesses great potential in atmosphere environmental protection, agriculture, industry, and rapid medical diagnosis. However, it still remains a great challenge to balance the sensitivity, selectivity, working temperature, and response/recovery speed. In this work, Berlin green (BG) framework is demonstrated as a highly promising sensing material for ammonia detection by both density functional theory simulation and experimental gas sensing investigation. Vacancy in BG framework offers abundant active sites for ammonia absorption, and the absorbed ammonia transfers sufficient electron to BG, arousing remarkable enhancement of resistance. Pristine BG framework shows remarkable response to ammonia at 50–110 °C with the highest response at 80 °C, which is jointly influenced by ammonia's absorption onto BG surface and insertion into BG lattice. The sensing performance of BG can hardly be achieved at room temperature due to its high resistance. Introduction of conductive Ti3CN MXene overcomes the high resistance of pure BG framework, and the simply prepared BG/Ti3CN mixture shows high selectivity to ammonia at room temperature with satisfying response/recovery speed.


Highlights:


1 Berlin green (BG) framework is highly promising for ammonia detection demonstrated by both theoretical and experimental investigations.
2 BG/Ti3CN mixture shows high selectivity to ammonia at room temperature with satisfying response/recovery speed.

Keywords

Berlin green framework Gas sensor Ammonia Room temperature High selectivity
Yang, Tingqiang, Lingfeng Gao, Wenxuan Wang, Jianlong Kang, Guanghui Zhao, Delong Li, Wen Chen, and Han Zhang. 2021. “Berlin Green Framework-Based Gas Sensor for Room-Temperature and High-Selectivity Detection of Ammonia”. Nano-Micro Letters 13 (January):63. https://doi.org/10.1007/s40820-020-00586-z.
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX
References
  1. E. Stokstad, Ammonia pollution from farming may exact hefty health costs. Science 343(6168), 238–238 (2014). https://doi.org/10.1126/science.343.6168.238
  2. S. Bandyopadhyay, B. Chatterjee, P. Nag, A. Bandyopadhyay, Nanocrystalline PbS as ammonia gas sensor: synthesis and characterization. CLEAN—Soil, Air, Water 43(8), 1121–1127 (2015). https://doi.org/10.1002/clen.201400437
  3. H. Tai, S. Wang, Z. Duan, Y. Jiang, Evolution of breath analysis based on humidity and gas sensors: potential and challenges. Sens. Actuat. B 318, 128104 (2020). https://doi.org/10.1016/j.snb.2020.128104
  4. S.C. Hernandez, D. Chaudhuri, W. Chen, N.V. Myung, A. Mulchandani, Single polypyrrole nanowire ammonia gas sensor. Electroanalysis 19(19–20), 2125–2130 (2007). https://doi.org/10.1002/elan.200703933
  5. T. Yang, Y. Liu, H. Wang, Y. Duo, B. Zhang et al., Recent advances in 0D nanostructure-functionalized low-dimensional nanomaterials for chemiresistive gas sensors. J. Mater. Chem. C 8, 7272–7299 (2020). https://doi.org/10.1039/D0TC00387E
  6. S.-Y. Jeong, J.-S. Kim, J.-H. Lee, Rational design of semiconductor-based chemiresistors and their libraries for next-generation artificial olfaction. Adv. Mater. 32(51), 2002075 (2020). https://doi.org/10.1002/adma.202002075
  7. Y. Jian, W. Hu, Z. Zhao, P. Cheng, H. Haick et al., Gas sensors based on chemi-resistive hybrid functional nanomaterials. Nano-Micro Lett. 12(1), 71 (2020). https://doi.org/10.1007/s40820-020-0407-5
  8. I. H. Kadhim, H. A. Hassan, Q. N. Abdullah, Hydrogen gas sensor based on nanocrystalline SnO2 thin film grown on bare Si substrates. Nano-Micro Lett. 8(1), 20–28 (2016). https://doi.org/10.1007/s40820-015-0057-1
  9. Y. Ren, Y. Zou, Y. Liu, X. Zhou, J. Ma et al., Synthesis of orthogonally assembled 3D cross-stacked metal oxide semiconducting nanowires. Nat. Mater. 19, 203 (2019). https://doi.org/10.1038/s41563-019-0542-x
  10. M. Xue, F. Li, D. Chen, Z. Yang, X. Wang et al., High-oriented polypyrrole nanotubes for next-generation gas sensor. Adv. Mater. 28, 8265 (2016). https://doi.org/10.1002/adma.201602302
  11. Y. Liu, H. Wang, S. Yang, K. Chen, T. Yang et al., ppb level ammonia detection of 3-D PbS quantum dots/reduced graphene oxide nanococoons at room temperature and Schottky barrier modulated behavior. Sens. Actuat. B 255, 2979–2987 (2018). https://doi.org/10.1016/j.snb.2017.09.120
  12. R. Kumar, X. Liu, J. Zhang, M. Kumar, Room-temperature gas sensors under photoactivation: from metal oxides to 2D materials. Nano-Micro Lett. 12(1), 164 (2020). https://doi.org/10.1007/s40820-020-00503-4
  13. D. Wu, Z. Guo, X. Yin, Q. Pang, B. Tu et al., Metal–organic frameworks as cathode materials for Li–O2 batteries. Adv. Mater. 26(20), 3258–3262 (2014). https://doi.org/10.1002/adma.201305492
  14. K.J. Erickson, F. Léonard, V. Stavila, M.E. Foster, C.D. Spataru et al., Thin film thermoelectric metal–organic framework with high seebeck coefficient and low thermal conductivity. Adv. Mater. 27(22), 3453–3459 (2015). https://doi.org/10.1002/adma.201501078
  15. S. Wang, C.M. McGuirk, A. d’Aquino, J.A. Mason, C.A. Mirkin, Metal–organic framework nanoparticles. Adv. Mater. 30(37), 1800202 (2018). https://doi.org/10.1002/adma.201800202
  16. Z. Zhuang, D. Liu, Conductive MOFs with photophysical properties: applications and thin-film fabrication. Nano-Micro Lett. 12(1), 132 (2020). https://doi.org/10.1007/s40820-020-00470-w
  17. M.G. Campbell, S.F. Liu, T.M. Swager, M. Dincă, Chemiresistive sensor arrays from conductive 2D metal–organic frameworks. J. Am. Chem. Soc. 137(43), 13780–13783 (2015). https://doi.org/10.1021/jacs.5b09600
  18. M. Drobek, J.-H. Kim, M. Bechelany, C. Vallicari, A. Julbe et al., MOF-based membrane encapsulated ZnO nanowires for enhanced gas sensor selectivity. ACS Appl. Mater. Interfaces 8(13), 8323–8328 (2016). https://doi.org/10.1021/acsami.5b12062
  19. M.-S. Yao, W.-X. Tang, G.-E. Wang, B. Nath, G. Xu, MOF thin film-coated metal oxide nanowire array: significantly improved chemiresistor sensor performance. Adv. Mater. 28(26), 5229–5234 (2016). https://doi.org/10.1002/adma.201506457
  20. Z. Zhuang, D. Liu, Conductive MOFs with photophysical properties: applications and thin-film fabrication. Nano-Micro Lett. 12, 132 (2020). https://doi.org/10.1007/s40820-020-00470-w
  21. M.-S. Yao, J.-W. Xiu, Q.-Q. Huang, W.-H. Li, W.-W. Wu et al., Van der Waals heterostructured MOF-on-MOF thin films: cascading functionality to realize advanced chemiresistive sensing. Angew. Chem. Int. Ed. 58(42), 14915–14919 (2019). https://doi.org/10.1002/anie.201907772
  22. X. Fang, B. Zong, S. Mao, Metal-organic framework-based sensors for environmental contaminant sensing. Nano-Micro Lett. 10(4), 64 (2018). https://doi.org/10.1007/s40820-018-0218-0
  23. R.-L. Liu, Z.-Q. Shi, X.-Y. Wang, Z.-F. Li, G. Li, Two highly stable proton conductive cobalt(II)-organic frameworks as impedance sensors for formic acid. Chem. Eur. J. 25(62), 14108–14116 (2019). https://doi.org/10.1002/chem.201902169
  24. R. Liu, Y. Liu, S. Yu, C. Yang, Z. Li et al., A highly proton-conductive 3D ionic cadmium-organic framework for ammonia and amines impedance sensing. ACS Appl. Mater. Interfaces 11(1), 1713–1722 (2019). https://doi.org/10.1021/acsami.8b18891
  25. Z. Sun, S. Yu, L. Zhao, J. Wang, Z. Li et al., A highly stable two-dimensional copper(II) organic framework for proton conduction and ammonia impedance sensing. Chem. Eur. J. 24(42), 10829–10839 (2018). https://doi.org/10.1002/chem.201801844
  26. H. Tokoro, S. Ohkoshi, Novel magnetic functionalities of Prussian blue analogs. Dalton Trans. 40(26), 6825–6833 (2011). https://doi.org/10.1039/c0dt01829e
  27. W.-J. Li, C. Han, G. Cheng, S.-L. Chou, H.-K. Liu et al., Chemical properties, structural properties, and energy storage applications of Prussian blue analogues. Small 15(32), 1900470 (2019). https://doi.org/10.1002/smll.201900470
  28. A. Takahashi, H. Tanaka, D. Parajuli, T. Nakamura, K. Minami et al., Historical pigment exhibiting ammonia gas capture beyond standard adsorbents with adsorption sites of two kinds. J. Am. Chem. Soc. 138(20), 6376–6379 (2016). https://doi.org/10.1021/jacs.6b02721
  29. F.X. Bu, M. Hu, W. Zhang, Q. Meng, L. Xu et al., Three-dimensional hierarchical Prussian blue composed of ultrathin nanosheets: enhanced hetero-catalytic and adsorption properties. Chem. Commun. 51(99), 17568–17571 (2015). https://doi.org/10.1039/c5cc06281k
  30. X. Pu, B. Jiang, X. Wang, W. Liu, L. Dong et al., High-performance aqueous zinc-ion batteries realized by MOF materials. Nano-Micro Lett. 12(1), 152 (2020). https://doi.org/10.1007/s40820-020-00487-1
  31. X. Wu, W. Deng, J. Qian, Y. Cao, X. Ai et al., Single-crystal FeFe(CN)6 nanoparticles: a high capacity and high rate cathode for Na-ion batteries. J. Mater. Chem. A 1(35), 10130 (2013). https://doi.org/10.1039/c3ta12036h
  32. X. Wu, M. Shao, C. Wu, J. Qian, Y. Cao et al., Low defect FeFe(CN)6 framework as stable host material for high performance Li-ion batteries. ACS Appl. Mater. Interfaces 8(36), 23706–23712 (2016). https://doi.org/10.1021/acsami.6b06880
  33. N. Yue, J. Weicheng, W. Rongguo, D. Guomin, H. Yifan, Hybrid nanostructures combining graphene–MoS2 quantum dots for gas sensing. J. Mater. Chem. A 4(21), 8198–8203 (2016). https://doi.org/10.1039/c6ta03267b
  34. E. Lee, A. VahidMohammadi, B.C. Prorok, Y.S. Yoon, M. Beidaghi et al., Room temperature gas sensing of two-dimensional titanium carbide (MXene). ACS Appl. Mater. Interfaces 9(42), 37184–37190 (2017). https://doi.org/10.1021/acsami.7b11055
  35. H. Liao, X. Guo, P. Wan, G. Yu, Conductive Mxene nanocomposite organohydrogel for flexible, healable, low-temperature tolerant strain sensors. Adv. Funct. Mater. 29(39), 1904507 (2019). https://doi.org/10.1002/adfm.201904507
  36. W.Y. Chen, X. Jiang, S.N. Lai, D. Peroulis, L. Stanciu, Nanohybrids of a MXene and transition metal dichalcogenide for selective detection of volatile organic compounds. Nat. Commun. 11(1), 1302 (2020). https://doi.org/10.1038/s41467-020-15092-4
  37. L. Gao, C. Li, W. Huang, S. Mei, H. Lin et al., MXene/polymer membranes: synthesis, properties, and emerging applications. Chem. Mater. 32(5), 1703–1747 (2020). https://doi.org/10.1021/acs.chemmater.9b04408
  38. L. Gao, H. Chen, F. Zhang, S. Mei, Y. Zhang et al., Ultrafast relaxation dynamics and nonlinear response of few-layer niobium carbide MXene. Small Methods 4(8), 2000250 (2020). https://doi.org/10.1002/smtd.202000250
  39. C. Lu, L. Yang, B. Yan, L. Sun, P. Zhang et al., Nitrogen-doped Ti3C2 Mxene: mechanism investigation and electrochemical analysis. Adv. Funct. Mater. 30(47), 2000852 (2020). https://doi.org/10.1002/adfm.202000852
  40. A.D. Handoko, S.N. Steinmann, Z.W. She, Theory-guided materials design: two-dimensional MXenes in electro- and photocatalysis. Nanoscale Horiz. 4(4), 809–827 (2019). https://doi.org/10.1039/C9NH00100J
  41. B. Delley, An all-electron numerical method for solving the local density functional for polyatomic molecules. J. Chem. Phys. 92(1), 508–517 (1990). https://doi.org/10.1063/1.458452
  42. B. Delley, From molecules to solids with the DMol3 approach. J. Chem. Phys. 113(18), 7756–7764 (2000). https://doi.org/10.1063/1.1316015
  43. J.P. Perdew, K. Burke, M. Ernzerhof, Generalized gradient approximation made simple. Phys. Rev. Lett. 77(18), 3865–3868 (1996). https://doi.org/10.1103/PhysRevLett.77.3865
  44. D.M. Pajerowski, T. Watanabe, T. Yamamoto, Y. Einaga, Electronic conductivity in berlin green and Prussian blue. Phys. Rev. B 83(15), 153202 (2011). https://doi.org/10.1103/PhysRevB.83.153202
  45. D.K. Nandakumar, Y. Zhang, S.K. Ravi, N. Guo, C. Zhang et al., Solar energy triggered clean water harvesting from humid air existing above sea surface enabled by a hydrogel with ultrahigh hygroscopicity. Adv. Mater. 31(10), 1806730 (2019). https://doi.org/10.1002/adma.201806730
  46. J. Zhang, X. Liu, G. Neri, N. Pinna, Nanostructured materials for room-temperature gas sensors. Adv. Mater. 28(5), 795–831 (2016). https://doi.org/10.1002/adma.201503825
  47. J. Wang, Z. Li, S. Zhang, S. Yan, B. Cao et al., Enhanced NH3 gas-sensing performance of silica modified CeO2 nanostructure based sensors. Sens. Actuat. B 255, 862–870 (2018). https://doi.org/10.1016/j.snb.2017.08.149
  48. Z. Li, Z. Lin, N. Wang, J. Wang, W. Liu et al., High precision NH3 sensing using network nano-sheet Co3O4 arrays based sensor at room temperature. Sens. Actuat. B 235, 222–231 (2016). https://doi.org/10.1016/j.snb.2016.05.063
  49. Q. Feng, X. Li, J. Wang, A.M. Gaskov, Reduced graphene oxide (rGO) encapsulated Co3O4 composite nanofibers for highly selective ammonia sensors. Sens. Actuat. B 222, 864–870 (2016). https://doi.org/10.1016/j.snb.2015.09.021
  50. F. Schütt, V. Postica, R. Adelung, O. Lupan, Single and networked ZnO-CNT hybrid tetrapods for selective room-temperature high-performance ammonia sensors. ACS Appl. Mater. Interfaces 9(27), 23107–23118 (2017). https://doi.org/10.1021/acsami.7b03702
Read More
Author biographies are not available.
Statistic
Read Counter : 10225 Download : 7579

Most read articles by the same author(s)

<< < 1 2