Skip to main content

Advertisement

Log in

DFT calculation of AsH3 adsorption and dissociation on Ni- and Cu-doped graphene

  • Original Paper
  • Published:
Journal of Molecular Modeling Aims and scope Submit manuscript

Abstract

This work explores the adsorption and dissociation of AsH3 on Ni- and Cu-doped graphene by density functional theory (DFT) method. The most stable configurations, adsorption energy, and dissociation pathways are calculated thoroughly. In addition, the electron density difference (EDD), charge transfer, partial density of states (PDOS), and frontier orbitals are performed to describe the adsorption and dissociation process. The first dehydrogenation step on PG-Cu is easier than on PG-Ni due to the lower energy barrier. But further dissociation is becoming difficult in both systems. The third dehydrogenation steps are the rate determining steps for the whole reactions on PG-Ni and PG-Cu, as the energy barrier is 2.01 and 1.72 eV. In conclusion, PG-Ni and PG-Cu has similar AsH3 sensitivity, but the dissociation of AsH3 on PG-Cu is easier than on PG-Ni. It indicates that PG-Cu has better catalytic activity as an AsH3 removal catalyst than PG-Ni. This work may provide useful information for further experimental studies to develop efficient and long-term AsH3 removal catalysts.

Graphical abstract

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  1. Quinn R, Dahl TA, Toseland BA (2004) An evaluation of synthesis gas contaminants as methanol synthesis catalyst poisons. Appl Catal A-Gen 272(1-2):61–68. https://doi.org/10.1016/j.apcata.2004.05.015

    Article  CAS  Google Scholar 

  2. Bhatt BL, Heydorn EC, Tijm PJA, Street BT, Kornosky RM (1999) Liquid phase methanol (LPMEOH (TM)) process development. Abstr Pap Am Chem Soc 217:U241–U241

    Google Scholar 

  3. Hu L, Wang X, Yu G, Wang F, Yu Z (2008) Study of the characteristics of methanol synthesis in a recirculation slurry reactor - a novel three-phase synthesis reactor. Chem Eng Technol 31(1):33–37. https://doi.org/10.1002/ceat.200700081

    Article  CAS  Google Scholar 

  4. Lee SG, Sardesai A (2005) Liquid phase methanol and dimethyl ether synthesis from syngas. Top Catal 32(3-4):197–207. https://doi.org/10.1007/s11244-005-2891-8

    Article  CAS  Google Scholar 

  5. Quinn R, Mebrahtu T, Dahl TA, Lucrezi FA, Toseland BA (2004) The role of arsine in the deactivation of methanol synthesis catalysts. Appl Catal A Gen 264(1):103–109. https://doi.org/10.1016/j.apcata.2003.12.034

    Article  CAS  Google Scholar 

  6. Cayan FN, Pakalapati SR, Celik I, Xu C, Zondlo J (2012) A degradation model for solid oxide fuel cell anodes due to impurities in coal syngas: part I theory and validation. Fuel Cells 12(3):464–473. https://doi.org/10.1002/fuce.201100027

    Article  CAS  Google Scholar 

  7. Trembly JP, Gemmen RS, Bayless DJ (2007) The effect of coal syngas containing AsH3 on the performance of SOFCs: investigations into the effect of operational temperature, current density and AsH3 concentration. J Power Sources 171(2):818–825. https://doi.org/10.1016/j.jpowsour.2007.06.087

    Article  CAS  Google Scholar 

  8. Lin Y, Wang X, Hao J et al (2017) Improved arsine removal efficiency over MnOx supported molecular sieves catalysts via micro-oxygen oxidation. Energy Fuel 31(9):9752–9759. https://doi.org/10.1021/acs.energyfuels.7b01477

    Article  CAS  Google Scholar 

  9. Poulston S, Granite EJ, Pennline HW, Hamilton H, Smith AWJ (2011) Palladium based sorbents for high temperature arsine removal from fuel gas. Fuel 90(10):3118–3121. https://doi.org/10.1016/j.fuel.2011.05.012

    Article  CAS  Google Scholar 

  10. Xie Y, Wang L, Ning P et al (2019) Superior activity of Ce-HZSM-5 catalyst for catalytic oxidation of arsine at low oxygen. Appl Organomet Chem 33(3). https://doi.org/10.1002/aoc.4745

    Article  Google Scholar 

  11. Wang X, Huang H, Zhou Q et al (2018) High-performance arsine removal using CuOx/TiO2 sorbents under low-temperature conditions. Energ Fuels 32(6):7035–7045. https://doi.org/10.1021/acs.energyfuels.8b00448

    Article  CAS  Google Scholar 

  12. Lin Y, Wang X, Hao J et al (2019) Preparation of CuZnAl hydrotalcite-like catalysts for AsH3 abatement at low temperatures. Catal Commun 118:51–55. https://doi.org/10.1016/j.catcom.2018.03.028

    Article  CAS  Google Scholar 

  13. Quinn R, Dahl TA, Diamond BW, Toseland BA (2006) Removal of arsine from synthesis gas using a copper on carbon adsorbent. Ind Eng Chem Res 45:6272–6278. https://doi.org/10.1021/ie060176v

    Article  CAS  Google Scholar 

  14. Goharibajestani Z, Yurum A, Yurum Y (2019) Effect of transition metal oxide nanoparticles on gas adsorption properties of graphene nanocomposites. Appl Surf Sci 475:1070–1076. https://doi.org/10.1016/j.apsusc.2019.01.052

    Article  CAS  Google Scholar 

  15. Esrafili MD (2018) N2O + CO reaction over a single Si or P atom incorporated nitrogen-doped graphene: a comparative DFT study. Chem Phys Lett 708:94–99. https://doi.org/10.1016/j.cplett.2018.08.006

    Article  CAS  Google Scholar 

  16. Tang Y, Cui X, Chen W, Zhu D, Chai H, Dai X (2018) A theoretical study on metal atom-modified BC3 sheets for effects of gas molecule adsorptions. Appl Phys A-Mater 124(6). https://doi.org/10.1007/s00339-018-1855-3

  17. Yuan P-F, Liu H, Sun Q, Jia Y (2018) CO oxidation on Ni doped and Ni-M (M = Ca, Sc, V, Cu) bimetal-doped graphene: a first-principles study. Comput Mater Sci 151:189–195. https://doi.org/10.1016/j.commatsci.2018.04.066

    Article  CAS  Google Scholar 

  18. Zhao D, Fan X, Luo Z, An Y, Hu Y (2018) Enhanced gas-sensing performance of graphene by doping transition metal atoms: a first-principles study. Phys Lett A 382(40):2965–2973. https://doi.org/10.1016/j.physleta.2018.06.046

    Article  CAS  Google Scholar 

  19. Dong H-K, Wang Y-P, Shi LB (2016) First principles study of HCN adsorption on graphene doped with 5d transition metal. Surf Rev Lett 23(1). https://doi.org/10.1142/s0218625x1550095x

    Article  CAS  Google Scholar 

  20. Shi LB, Wang YP, Dong HK (2015) First-principle study of structural, electronic, vibrational and magnetic properties of HCN adsorbed graphene doped with Cr. Mn and Fe Appl Surf Sci 329:330–336. https://doi.org/10.1016/j.apsusc.2014.12.172

    Article  CAS  Google Scholar 

  21. Tabtimsai C, Somtua T, Motongsri T, Wanno B (2018) A DFT study of H2CO and HCN adsorptions on 3d, 4d, and 5d transition metal-doped graphene nanosheets. Struct Chem 29(1):147–157. https://doi.org/10.1007/s11224-017-1013-0

    Article  CAS  Google Scholar 

  22. Tang Y, Chen W, Li C, Pan L, Dai X, Ma D (2015) Adsorption behavior of Co anchored on graphene sheets toward NO, SO2, NH3. CO and HCN molecules Appl Surf Sci 342:191–199. https://doi.org/10.1016/j.apsusc.2015.03.056

    Article  CAS  Google Scholar 

  23. Tang Y, Liu Z, Shen Z, Chen W, Ma D, Dai X (2017) Adsorption sensitivity of metal atom decorated bilayer graphene toward toxic gas molecules (CO, NO, SO2 and HCN). Sensor Actuat B-Chem 238:182–195. https://doi.org/10.1016/j.snb.2016.07.039

    Article  CAS  Google Scholar 

  24. Zhao M, Yang F, Xue Y, Xiao D, Guo Y (2014) Adsorption of HCN on reduced graphene oxides: a first-principles study. J Mol Model 20(4). https://doi.org/10.1007/s00894-014-2214-8

  25. Zhou Q, Ju W, Su X et al (2017) Adsorption sensitivity of graphane decorated with B, N, S, and Al towards HCN: a first-principles study. RSC Adv 7(69):43521–43530. https://doi.org/10.1039/c7ra08579f

    Article  CAS  Google Scholar 

  26. Bo Z, Guo X, Wei X, Yang H, Yan J, Cen K (2019) Density functional theory calculations of NO2 and H2S adsorption on the group 10 transition metal (Ni, Pd and Pt) decorated graphene. Phys E 109:156–163. https://doi.org/10.1016/j.physe.2019.01.012

    Article  CAS  Google Scholar 

  27. Cortés-Arriagada D, Villegas-Escobar N, Ortega DE (2018) Fe-doped graphene nanosheet as an adsorption platform of harmful gas molecules (CO, CO2, SO2 and H2S), and the co-adsorption in O2 environments. Appl Surf Sci 427:227–236. https://doi.org/10.1016/j.apsusc.2017.08.216

    Article  CAS  Google Scholar 

  28. Ambrusi RE, Pronsato ME (2019) DFT study of Rh and Ti dimers decorating N-doped pyridinic and pyrrolic graphene for molecular and dissociative hydrogen adsorption. Appl Surf Sci 464:243–254. https://doi.org/10.1016/j.apsusc.2018.09.073

    Article  CAS  Google Scholar 

  29. Faye O, Eduok U, Szpunar J, Samoura A, Beye A (2018) H2S adsorption and dissociation on NH-decorated graphene: a first principles study. Surf Sci 668:100–106. https://doi.org/10.1016/j.susc.2017.10.016

    Article  CAS  Google Scholar 

  30. Zhang H-p, Luo X-g, Song H-T, Lin X-Y, Lu X, Tang Y (2014) DFT study of adsorption and dissociation behavior of H2S on Fe-doped graphene. Appl Surf Sci 317:511–516. https://doi.org/10.1016/j.apsusc.2014.08.141

    Article  CAS  Google Scholar 

  31. Behjatmanesh-Ardakani R (2018) Periodic and non-periodic DFT modeling of CO reduction on the surface of Ni-doped graphene nanosheet. Mol Catal 455:239–249. https://doi.org/10.1016/j.mcat.2018.06.008

    Article  CAS  Google Scholar 

  32. Zheng Y, Xiao W, Cho M, Cho K (2013) Density functional theory calculations for the oxygen dissociation on nitrogen and transition metal doped graphenes. Chem Phys Lett 586:104–107. https://doi.org/10.1016/j.cplett.2013.09.016

    Article  CAS  Google Scholar 

  33. Li Y, Sun X, Zhou L, Ning P, Tang L (2019) Density functional theory analysis of selective adsorption of AsH3 on transition metal-doped graphene. J Mol Model 25(5):145. https://doi.org/10.1007/s00894-019-3991-x

    Article  CAS  PubMed  Google Scholar 

  34. Ernzerhof M, Scuseria GE (1999) Assessment of the Perdew-Burke-Ernzerhof exchange-correlation functional. J Chem Phys 110(11):5029–5036. https://doi.org/10.1063/1.478401

    Article  CAS  Google Scholar 

  35. Hammer B, Hansen LB, Norskov JK (1999) Improved adsorption energetics within density-functional theory using revised Perdew-Burke-Ernzerhof functionals. Phys Rev B 59(11):7413–7421. https://doi.org/10.1103/PhysRevB.59.7413

    Article  Google Scholar 

  36. Cha J, Sung D, Min K-A, Hong S (2018) Van der Waals density functional theory study of molecular adsorbates on MoX2(X = S, Se or Te). J Korean Phys Soc 73(1):100–104. https://doi.org/10.3938/jkps.73.100

    Article  CAS  Google Scholar 

  37. He Y, Yu J, Wu H, Jia J (2019) Defining the optimal morphology of Rh-n nanoparticles for efficient hydrazine adsorption: a DFT-D3 study. J Mater Sci 54(13):9533–9542. https://doi.org/10.1007/s10853-019-03579-5

    Article  CAS  Google Scholar 

  38. Liao Y, Gao Z, Yang W, Zhong J, Ding Y (2019) Weak interaction between water molecule and different rank coals: a DFT-D3 study. Int J Oil Gas Coal T 21(1):91–108. https://doi.org/10.1504/ijogct.2019.099519

    Article  Google Scholar 

  39. Petrushenko IK, Petrushenko KB (2018) DFT study of single-walled carbon hollows as media for hydrogen storage. Comput Theor Chem 1140:80–85. https://doi.org/10.1016/j.comptc.2018.08.001

    Article  CAS  Google Scholar 

  40. Pilar de Lara-Castells M, Cabrillo C, Micha DA, Mitrushchenkov AO, Vazhappilly T (2018) Ab initio design of light absorption through silver atomic cluster decoration of TiO2. Phys Chem Chem Phys 20(28):19110–19119. https://doi.org/10.1039/c8cp02853b

    Article  CAS  Google Scholar 

  41. Samanta PN, Das KK (2019) Deciphering the impact of surface defects and functionalization on the binding strength and electronic properties of graphene-polypyrrole nanocomposites: a first-principles approach. J Phys Chem C 123(9):5447–5459. https://doi.org/10.1021/acs.jpcc.8b11173

    Article  CAS  Google Scholar 

  42. Chen D, Zhang X, Tang J, Fang J, Li Y, Liu H (2018) Adsorption and dissociation mechanism of SO2 and H2S on Pt decorated graphene-a DFT-D3 study. Appl Phys A Mater Sci Process 124:404. https://doi.org/10.1007/s00339-018-1827-7

    Article  CAS  Google Scholar 

Download references

Funding

This work was supported by the National Natural Science Foundation of China [51708266] and the research fund program of Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology [2018K23].

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ping Ning.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Table S1

(DOCX 43 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, Y., Li, K., Sun, X. et al. DFT calculation of AsH3 adsorption and dissociation on Ni- and Cu-doped graphene. J Mol Model 25, 358 (2019). https://doi.org/10.1007/s00894-019-4227-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s00894-019-4227-9

Keywords

Navigation