Skip to main content
Log in

Metal paddlewheels as sensors for detection of SO2 gas: a DFT study

  • Original Paper
  • Published:
Chemical Papers Aims and scope Submit manuscript

Abstract

The sensing properties of the paddlewheel-type metal dimer (M-BTC: M = Fe, Ni, Cu, Zn, and Pd) toward SO2 gas were theoretically investigated using density functional theory (DFT) at the M06-L level of theory. Single-point calculations were carried at the M06 functional to correct the energetic properties and HOMO–LUMO energy gap. The O-bound adsorption complex of SO2 on the metal center of paddlewheels is found to be thermodynamically favorable than the S-bound ones. The trend of adsorption energy of SO2 on the metal center is in the order Pd-BTC < Cu-BTC < Ni-BTC < Zn-BTC < Fe-BTC. Among these five paddlewheels, the Ni-BTC and Zn-BTC paddlewheels are highly sensitive toward SO2 gas as compared to the other systems. The density of states reveals that the adsorption process significantly reduces the LUMO of the system to lower energies, enhancing the conductivity of the system. From DFT results, the energy gap of Ni-BTC and Zn-BTC is significantly reduced by 18.0 and 41.0% after the adsorption of SO2 on the metal center. These results suggest the great potential of Ni-, and Zn-BTC paddlewheels as SO2 sensors.

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

Similar content being viewed by others

References

Download references

Acknowledgements

This research was supported in part by grants from the Thailand Research Fund (Grant No. RSA5780069), the Commission on Higher Education, Ministry of Education (the National Research University Project of Thailand (NRU)), the Kasetsart University Research and Development Institute (KURDI). The author acknowledges the Laboratory for Computational and Applied Chemistry (LCAC), the KU Institute for Advanced Studies (KUIAS), and the National e-Science Infrastructure Consortium (http://www.e-science.in.th) for providing computing resources that have contributed to the research results reported within this paper.

Author information

Authors and Affiliations

Authors

Contributions

JS Conceptualization, Methodology, Investigation, Visualization, Writing.

Corresponding author

Correspondence to Jakkapan Sirijaraensre.

Ethics declarations

Conflicts of interest

The author declares that there is no conflict of interest.

Additional information

Publisher's Note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sirijaraensre, J. Metal paddlewheels as sensors for detection of SO2 gas: a DFT study. Chem. Pap. 76, 2307–2315 (2022). https://doi.org/10.1007/s11696-021-02015-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11696-021-02015-w

Keywords

Navigation