Tuning electronic properties of graphene nanoribbons for enhanced detection of toxic gases (F₂, AsH3, PH₃ and HF): A density functional theory study

Authors

  • R. H. Khalaf Department of Physics, College of Science, University of Thi-Qar
  • M. L. Jabbar Department of Physics, College of Science, University of Thi-Qar

DOI:

https://doi.org/10.31349/RevMexFis.72.021603

Keywords:

Graphene; DFT; Toxic gases; Gas sensing; Energy gap.

Abstract

This study investigates the potential of graphene nanoribbons (GNRs) with zigzag and armchair edge configurations as highly sensitive sensors for toxic gases (F₂, AsH3, PH₃, and HF) using density functional theory (DFT) with the B3LYP/6-31G basis set to model and optimize the geometric and electronic structures of pristine and gas-adsorbed GNR compounds. The electronic, structural, and adsorption properties of these GNRs were analyzed to evaluate their gas-sensing performance. Results reveal that zigzag-edged GNRs exhibit superior sensitivity due to their localized edge states, which significantly alter electronic properties upon gas adsorption, particularly for F₂, as evidenced by a notable reduction in the energy gap (from 1.22 eV to 0.97 eV). Meanwhile, armchair paradigms display stable electronic structures with smaller band gap fluctuations (~0.5 eV). This means that the armchair-edged GNRs demonstrate greater stability and selectivity, with minimal changes in their electronic structure, suggesting robust sensor performance under ambient conditions. Adsorption energy calculations and infrared spectra further highlight the distinct interactions between the gases and GNRs, with zigzag edges showing stronger responses. Additionally, descriptors such as chemical hardness, softness, electronegativity, and dipole moment provide insights into the reactivity and polarizability of the systems. The findings suggest that zigzag GNRs are promising candidates for high-sensitivity gas sensors, while armchair GNRs may be better suited for robust and selective detection applications. This work contributes to the optimization of graphene-based sensors for environmental and industrial toxic gas monitoring.

References

Kumar, Y., Sahoo, S., Chakraborty, A.K.: Mechanical properties of graphene, defective graphene, multilayer graphene and SiC-graphene composites: A molecular dynamics study. Physica B: Condensed Matter 620, 413250 (2021). https://doi.org/10.1016/j.physb.2021.413250

I. N. Luaibi, A. S. Alwan.: DFT investigation on electronic properties of the first principle three models of titanium-zirconium nanoclusters doped with two molecules of gallium-arsenic. Chemical Physics 598, 112821 (2025).

Zhen, Z., Zhu, H.: Structure and properties of graphene. in Graphene: Elsevier. 1–12 (2018). https://doi.org/10.1016/B978-0-12-812651-6.00001-X

Rance, G. A., Marsh, D. H., Nicholas, R. J., Khlobystov, A. N.: UV–vis absorption spectroscopy of carbon nanotubes: Relationship between the π-electron plasmon and nanotube diameter. Chemical Physics Letters 493, 19–23 (2010). https://doi.org/10.1016/j.cplett.2010.05.012

Liu, Y., Xie, B., Zhang, Z., Zheng, Q., Xu, Z.: Mechanical properties of graphene papers. J Mechanics and Physics of Solids 60, 591–605 (2012). https://doi.org/10.1016/j.jmps.2012.01.002

Melnikova, N., Egorushkin, V., Bobenko, N., Ponomarev, A.: The density of states and thermopower in disordered carbon nanotubes. Russ Phys J 55, 1266–1277 (2013). https://doi.org/10.1007/s11182-013-9955-1

Enoki, T., Fujii, S., Takai, K.: Zigzag and armchair edges in graphene. Carbon 50, 3141–3145 (2012). https://doi.org/10.1016/j.carbon.2011.10.004

Kim, J., Lee, N., Min, Y.H., et al.: Distinguishing zigzag and armchair edges on graphene nanoribbons by X-ray photoelectron and Raman spectroscopies. ACS omega 3, 17789–17796 (2018). https://doi.org/10.1021/acsomega.8b02744

Hameed, H., Yasser, H. A.: Three-Layers Slab Waveguide with Chiral Metamaterial Core and Graphene Interfaces. University of Thi-Qar Journal of Science 11, 97–102 (2024). https://doi.org/10.32792/utq/utjsci/v11i2.1254

Nag, A., Mitra, A., Mukhopadhyay, S. C.: Graphene and its sensor-based applications: A review. Sensors and Actuators A: physical 270, 177–194 (2018). https://doi.org/10.1016/j.sna.2017.12.028Get rights and content

Sergeyev, D., Myasnikova, L., Shunkeyev, K. S.: Computer simulation of spin filtration properties of zigzag-edged octagraphene nanoribbon saturated with hydrogen atoms. Russian Physics Journal 63, 303–310 (2020). https://doi.org/10.1007/s11182-020-02036-0

Toda, K., Furue, R., Hayami, S.: Recent progress in applications of graphene oxide for gas sensing: A review. Analytica chimica acta 878, 43–53 (2015). https://doi.org/10.1016/j.aca.2015.02.002

Shin, S., Lee, Y., Jang, H.L., et al.: Graphene-based materials for tissue engineering. Advanced drug delivery reviews 105, 255–274 (2016). https://doi.org/10.1016/j.addr.2016.03.007Get rights and content

Hu, N., Wang, Y., Chai, J., et al.: Gas sensor based on p-phenylenediamine reduced graphene oxide. Sensors and Actuators B: Chemical 163, 107–114 (2012). https://doi.org/10.1016/j.snb.2012.01.016

Nakada, K., Ishii, A.: Migration of adatom adsorption on graphene using DFT calculation. Solid State Communications 151, 13–16 (2011). https://doi.org/10.1016/j.ssc.2010.10.036

Ali, N., Al-Badry, L. F., Ahmed, A. B.: DFT Study in Strain Engineering HfSe2 Nanosheets for Sensing SO2, SOF2, and SO2F2 Gases. University of Thi-Qar Journal of Science 12, 224–232 (2025). https://doi.org/10.32792/utq/utjsci/v12i1.1393

Fadel, H., Abd-AlHussien, M.: Theoretical Study of External Electric Field Effect on the Chemisorption of a Spherical Semiconducting Quantum-dot on Graphene. University of Thi-Qar Journal of Science 11(1), 36–44 (2024). https://doi.org/10.32792/utq/utjsci/v11i1.1164

Tian, W., Liu, X., Yu, W.: Research progress of gas sensor based on graphene and its derivatives: A review. Applied Sciences 8, 1118 (2018). https://doi.org/10.3390/app8071118

Ali, A., Toama, N. A.: DFT study of Mn-doped CeO2: The structural and electronic properties. University of Thi-Qar Journal of Science 11, 190–196 (2024). https://doi.org/10.32792/utq/utjsci/v11i2.1252

Guo, Q., Li, C., Deng, B., et al.: Infrared nanophotonics based on graphene plasmonics. ACS Photonics 4, 2989–2999 (2017). https://doi.org/10.1021/acsphotonics.7b00547

Kyrkjebø, S., Cassidy, A., Akhtar, A., et al.:Graphene and graphene oxide on Ir (111) are transparent to wetting but not to icing. Carbon, 174, 396–403, 2021. https://doi.org/10.1016/j.carbon.2020.12.030

Ohno, Y., Maehashi, K., Matsumoto, K.: Chemical and biological sensing applications based on graphene field-effect transistors. Biosensors and Bioelectronics 26, 1727–1730 (2010). https://doi.org/10.1016/j.bios.2010.08.001

Sahu, S., Rout, G.: Band gap opening in graphene: a short theoretical study, International Nano Letters 7, 81–89 (2017). https://doi.org/10.1007/s40089-017-0203-5

Nakada, K., Ishii, A.: DFT calculation for adatom adsorption on graphene. in Graphene Simulation: IntechOpen (2011). DOI: 10.5772/20477

Thierfelder, C., Witte, M., Blankenburg, S., et al.: Methane adsorption on graphene from first principles including dispersion interaction. Surface Science 605, 746–749 (2011). https://doi.org/10.1016/j.susc.2011.01.012

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Published

2026-03-09

How to Cite

[1]
R. Khalaf and M. . Jabbar, “Tuning electronic properties of graphene nanoribbons for enhanced detection of toxic gases (F₂, AsH3, PH₃ and HF): A density functional theory study”, Rev. Mex. Fís., vol. 72, no. 2 Mar-Apr, pp. 021603 1–, Mar. 2026.