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Article

The Adsorption Behavior of Gas Molecules on Mn/N- and Mn-Doped Graphene

1
School of Physical and Electronics Science, Shanxi Datong University, Datong 037009, China
2
Key Laboratory of Magnetic Molecules & Magnetic Information Materials, Ministry of Education, School of Chemistry and Material Science, Shanxi Normal University, Taiyuan 030031, China
*
Author to whom correspondence should be addressed.
Nanomaterials 2024, 14(16), 1353; https://doi.org/10.3390/nano14161353
Submission received: 27 July 2024 / Revised: 9 August 2024 / Accepted: 13 August 2024 / Published: 15 August 2024

Abstract

:
By using density functional theory (DFT), the adsorption behavior of gas molecules on defective graphene doped with manganese and nitrogen were investigated. The geometric structure, electronic structure, and magnetic properties of two substrates were calculated and the sensing mechanism was also analyzed. The results indicate that the MnSV-GP and MnN3-GP have stronger structural stability, in which Mn atoms and their coordination atoms will become the adsorption point for five gas molecules (CH2O, CO, N2O, SO2, and NH3), respectively. Moreover, at room temperature (298 K), the recovery time of the MnSV-GP sensor for N2O gas molecules is approximately 1.1 s. Therefore, it can be concluded that the MnSV-GP matrix as a magnetic gas sensor has a promising potential for detecting N2O. These results also provide a new pathway for the potential application of Mn-doped graphene in the field of gas sensors.

1. Introduction

In recent years, graphene has become popular research topic and attracted considerable interest in many fields [1,2], such as nanoelectronic devices, solar cell technology, liquid crystal electronic devices, and gas sensors [3,4,5,6,7,8]. Owing to the single-layer two-dimensional honeycomb lattice stacked by sp2 hybridized carbon, graphene has excellent physical and electrochemical properties, such as zero band gap, massless Dirac particles, anomalous quantum Hall effect, high electron mobility, excellent electrical conductivity, high mechanical strength, and large surface-to-volume ratio [2,9]. While the carrier concentration be changed by the adsorption of gas molecules, indicating that graphene can be used as sensitive sensors [5,10]. However, the interaction between most gas molecules and graphene is limited to physical adsorption [11,12,13], which is not strong. In order to improve the adsorption of graphene, people have attempted to modify graphene or fabricate hole-matrixed graphene [14]. Reference [15] demonstrates that modified graphene can enhance selectivity and sensitivity towards certain specific gas molecules. Therefore, it is very important to find suitable methods to improve the sensitivity and selectivity of graphene.
Single-atom catalysts (SACs), which has isolated metal atom singlely dispersed on support, can greatly improve the distribution of active sites, catalyst stability, reaction selectivity, and gas sensitivity [16,17,18]. The combination of carbon-based sensors and single-metal-atom catalysts can bring particular electronic structures and enhance gas-sensing capabilities. Experimentally, it has been proved that transition-metal-doped graphene or transition-metal-and-nitrogen co-doped graphene has significantly influenced electronic structure and its electrocatalytic activities [19,20]. Recently, the adsorption behavior of substrates of various graphene matrices doped with transition metal (TM) atoms, such as TM-C or TM-N-C has been researched [21,22,23,24,25]. The experimental results have confirmed that Pd-doped graphene can significantly enhance the selectivity and sensitivity for NH3 gas molecules [26]. Some theoretical studies have shown that doped graphene can enhance the adsorption of small gas molecules (H2, CH2O, CO, NO, and SO2) compared with pure graphene [27,28,29]. In addition, when some small gas molecules adsorbed on doped metal graphene, the spin state of the Fermi level and the magnetism of the substrate were simultaneously changed [30,31,32,33]. Considering the lower binding energy and the stronger interaction between transition metal atoms and carbon (nitrogen) structures, the adsorptivity and magnetism of the substrate was greatly affected. So, it is important to understand this interaction mechanism.
In recent research, the density functional theory has been used to calculate and study various gas-sensing materials, explain the characteristics of gas adsorption, and design new gas-sensing materials. The stable geometric structure, electronic structure, magnetic properties, and catalytic activity of the doped defective graphene with Mn atom in single vacancies (SV) or among three nitrogen atoms (N3) have been studied [11,20,34,35,36,37]. However, so far, the systematic studies on the adsorption of gases (CH2O, CO, N2O, SO2, and NH3) on MnSV-GP or MnN3-GP have not been reported. Here, the above molecules as the adsorption probes, the geometric structure, electronic structure, and magnetic properties of two substrates (MnSV-GP and MnN3-GP) were investigated, respectively. Based on density functional theory (DFT), the gas-sensing mechanism is analyzed through density of states theory (DOS), charge transfer, spin density, and charge density difference. Finally, to evaluate the repeatability and the utilization rate of gas sensor, the recovery time of gas desorption was discussed.

2. Computational Details and Methods

All calculations are conducted by using the Vienna ab initio simulation package (VASP), which is based on density functional theory (DFT) with a van der Waals (vdW) correction for the spin-polarized surface system [38,39]. The electron exchange energy and core-electron interactions were described by the Pedrew Burke Ernzerhof of generalized gradient approximation (GGA) and projection augmented wave (PAW) methods, respectively [40,41]. The maximum cutoff energy of PAW was set to 500 eV. In the process of geometric optimization, all atomic positions were fully relaxed until the forces were smaller than 0.01 eV/Å. The total energy convergence standard for electronic self-consistent steps is less than 1 × 10−6 eV. According to references [42,43], a 4 × 4 × 1 supercell model for simulating two-dimensional hexagonal graphene substrates was applied. The calculations of various free gas molecules were performed by using a crystal cell of 15 × 15 × 15 Å3. The k-point mesh of 15 × 15 × 1 is used to calculate the density of state (DOS) and 7 × 7 × 1 Γ-center mesh for other calculations. When the energy change is less than 10 meV/atom, the k-point grid test is finished. In this work, the spin-polarized DFT was used to calculate magnetic properties. It has been proven that the method is reasonable for calculating transition-metal-doped graphene [44,45]. In order to further accurately describe the van der Waals (vdW) interaction, we adopted the DFT-D2 method, which has been successfully applied to the theoretical study of adsorption systems [39]. A vacuum layer of 15 Å along the vertical direction was set to minimize the periodic interaction. A Gaussian smearing method with a width of 0.05 eV was used to improve convergence of the orbital occupation near the Fermi level. In addition, Bader charge analysis was used to evaluate the atomic charge and electron transfer amount in adsorption [46], and the electron density difference was drawn by visualization software VESTA 3 [47].
The adsorption energy of stable configurations (Eads) is expressed as
Ead = (Egas + Esup) − Egas/sup
where Egas, Esup, and Egas/sup denote the total energy of single gas molecules in vacuum, the MnSV-GP or MnN3-GP support, and the gas adsorbed on the support, respectively. Based on this definition, a positive value shows that the adsorbed system is more stable and the gas adsorption is exothermic.

3. Results and Discussion

3.1. Stability and Structure for MnSV-GP and MnN3-GP

In order to study the stability of MnSV-GP and MnN3-GP, the structure of the system was studied. The most stable atomic configurations of MnSV-GP and MnN3-GP are shown in Figure 1a,b, respectively. Their structural parameters are shown in Table 1. Consistent with previous calculations [48,49,50,51], the bond lengths of Mn-C (1.83 Å) and Mn-N (2.00 Å) in these two structures are both smaller than the covalent radii of Mn atoms and C or N atoms [52], indicating that Mn-C or N atoms form stable covalent bonds. The binding energy is up to −6.12 eV and −4.2 eV for MnSV-GP and MnN3-GP, respectively, which is consistent with previous theoretical calculations [48,50]. The value of binding energy is significantly lower than that of cohesive energy of Mn atoms obtained from experiments (−2.92 eV) and theoretical calculations (−3.86 eV) [53]. It shows there is a strong interaction between the Mn dopant and the graphene surface. According to previous studies [29,50,54], the catalytic activity of MnSV-GP and MnN3-GP mainly comes from the active region of the doped atoms (Mn with the nearest C and N atoms).
The stability of these two structures can also be explained by the Bader charge transfer on the substrate. As shown in Table 1, Mn transferred significant charges of 0.88 e and 0.96 e to the SV-GP and N3-GP layers, respectively, further indicating that it is chemical adsorption. It is due to that there is a difference in the electro negativity of Mn, N, and C in these two structures, which changes the local electro neutrality of the structure. As shown in Figure 1c,d, it can be observed that there is a significant electron overlap between the Mn atom and surrounding atoms, which will keep the Mn atom stable in the vacancy.

3.2. Adsorption Structure and Adsorption Energy

Then, five gas molecules as adsorbates were used to probe the reactivity of two substrates, including MnSV-GP and MnN3-GP. The optimized structures can be seen in Figure S1. After optimization, the adsorption energy (Figure 2), charge transfer (Table 2), adsorption height between the adsorbed molecule and Mn–graphene nanosheets, and bond length (summarized in Tables S1–S5, respectively) were employed to investigate the change in structure and properties. As shown in Figure 2, it can be seen that the smallest adsorption energy of the MnN3-GP for CH2O molecule is −2.26 eV, while the largest one is −0.77 eV in the N2O/MnSV-GP system. Meanwhile, for MnN3-GP, each of the adsorption energies is evidently smaller than that of MnSV-GP. It is indicated that the interaction between the adsorbed gases and MnN3-GP is significantly enhanced, and the sensitivity of substrate is improved through replacing C atoms with non-metallic N atoms.
To further illustrate the adsorption activity, the relationship between adsorption energy and bond lengths were investigated. After the five gas molecules’ adsorption, the average bond length of C-Mn stretched by about 1.27%, −0.18%, −0.36%, 0.73%, and −1.64% compared with that before adsorption, respectively, while N-Mn bonds elongated by approximately 2%, −0.5%, 1.67%, 1%, and −0.5% (Tables S1–S5). As showed in Figure 2, it indicated that the smallest adsorption energy corresponds to the longest bond length. The results also showed that the substrate of MnN3-GP has higher stability than MnSV-GP. In the same way, we can see that the bond length in the other four molecules is elongated after adsorption on two surfaces of MnSV-GP and MnN3-GP, respectively. In addition, in Table S1, the bond lengths of C-H1 and C-H2 are shortened from 1.12 Å to 1.10 Å under the interaction, while the bond lengths of C-O are extended from 1.21 Å to 1.33 Å and 1.37 Å, respectively. These results indicate that the molecular polarity is strengthened and the adsorption of CH2O molecule is activated. Generally, the greater the elongation of bond length between atoms, the smaller the adsorption energy is. When the adsorption force increases, the adsorption activity becomes greater.

3.3. Electronic Properties and Magnetic Properties

To further illustrate the adsorption mechanism, we calculated the density of states (DOSs) and projected density of states (PDOSs) of the five gas molecules adsorbed on MnSV-GP and MnN3-GP, respectively, as shown in Figure 3 and Figure 4. In Figure 3a–d, by comparing the total density of states (TDOSs) before and after four gas molecules’ (CH2O, CO, NO2, and SO2) adsorption, it can be observed that the TDOS curve shifts towards higher energy, especially near the Fermi level, resulting in partial filling of the valence band (VBM). However, the curve of DOS shifts to lower energy after NH3 adsorption (Figure 3e). By analyzing the PDOS curves (in Figure 3), it can be seen that the energy levels of conduction band are mainly the contributions of the 3d electronic states of Mn atoms. Moreover, the DOS near the Fermi level indicates that there is an overlap between the 3d-orbital of Mn atoms and the p-orbital of gas molecules for MnSV-GP and MnN3-GP catalysts. As shown in Figure 4a–d, for the MnN3-GP, strongly hybridized states between the d-orbitals of Mn atoms and the p-orbitals of gas molecules (CH2O, CO, NO2, and SO2) can be observed near the Fermi energy level. This electronic interaction leads to the formation of bonds between the gas and the Mn, resulting in lower adsorption energies.
Comparing the peak value at Fermi level in Figure 3 with the one in Figure 4, the peak values of the five gas molecules adsorbed on the MnSV-GP surface at Fermi level are 0.1 states/eV, −0.09 states/eV, 0.01 states/eV, 0.02 states/eV, and 0.06 states/eV, while on the MnN3-GP surface, they are 6.74 states/eV, −7.81 states/eV, 3.76 states/eV, 8.07 states/eV, and 1.38 states/eV, respectively (local enlarged drawing in Figure S2). The electron concentration at the Fermi level has increased, indicating that N atom substitution has a significant impact on gas adsorption. The MnN3-GP system improved the adsorption sensitivity of the five gas molecules.
In order to further investigate the reasons of adsorption sensitivity, we analyzed the electronic structure by the charge transferring and the charge difference density (CDD). According to the Bader charge calculation results (Table 2), it can be seen that the CH2O, CO, NO2, and SO2 molecules will gain electrons, while the NH3 molecule will lose electrons in the gas adsorption process. At the same time, it revealed that the distributions of electrons in the gas/MnN3-GP are significantly higher than those in the gas/MnSV-GP. On the other hand, according the charge difference density, the CH2O, CO, NO2, and SO2 molecules (Figure 5a–d,f–i) are mainly surrounded by yellow, which indicates that these molecules are electron acceptors. In contrast, for the NH3 molecule (Figure 5e,j), most charge density is displayed in cyan, demonstrating that the NH3 molecule is an electron donor. As a result, the migration and redistribution of electrons near the surface will form strong bonds, resulting in a higher response.
In order to clarify the magnetic property, we have also calculated the spin density of five gases adsorbed on the MnSV-GP and MnN3-GP substrates, respectively (Figure 6). Spin density is the difference in electron density between the spin up and spin down [55]. When the five gas molecules adsorbed on the MnSV-GP substrate, the magnetic moments of the MnSV-GP reduced from 3.00 μB (Table 1) to 1.0 μB (Table 3). For another substrate (MnN3-GP), comparing the magnetic moment before adsorption to that after adsorption, the magnetic moment decreased from 5.15 μB (Table 1) to 3.93 μB, 4.27 μB, 3.98 μB, 3.76 μB, and 4.70 μB (Table 3), respectively. The change in magnetic moment indicates the sensitivity of gas adsorption. In Figure 6a–l, the spin mainly concentrates on Mn atoms with spin-up. In the MnN3-GP system, as shown in Figure 6h–l, the nearest N and Mn atom is dominated by upward spin states. The spin direction of the CO molecule is consistent with that of Mn atoms (Figure 6i), while the CH2O, N2O, and SO2 molecules have a dominant downward spin state. These are mainly the results of charge transfer from Mn atoms to CH2O, CO, NO2, and SO2 gas molecules or NH3 charge transfer to Mn atoms. In addition, in the case of NH3 adsorption, the spin density is strongly limited to Mn atoms and their nearest atoms (Figure 6f,l), while other atoms have lower magnetization intensity. Furthermore, in Figure 6, the adsorption of CH2O, CO, NO2, SO2, and NH3 gives rise to polarization for the entire system compared with original substrates (Figure 6a,g). Based on the spin density distribution, it is concluded that the magnetism has changed through the adsorption, and the substrates have higher adsorption sensitivity to the five gas molecules.

3.4. Recovery Time

After evaluating the adsorption energy and analyzing the charge transfer mechanism, as another essential parameter for gas sensors, the recovery time need to be calculated. The shorter the recovery time is, the better the repeatability and the higher the utilization rate of a gas sensor. According to traditional transition state theory [56], the recovery time of the system can be estimated as
τ = ν 0 1 e ( E B / K B T )
where τ is the recovery time and ν0 is the attempt frequency (1013 s−1), KB is the Boltzmann constant, T is the temperature (K), and EB is the desorption energy, which can be approximated as the adsorption energy [57]. According to this equation, at room temperature (298 K), the recovery times of CH2O, CO, N2O, SO2, and NH3 on the MnSV-GP sensor were calculated to be 5.27 × 1013 s, 4.6 × 109 s, 1.1 s, 1.3 × 1018 s, and 1.2 × 105 s, respectively. The recovery times for MnN3-GP were 1.7 × 1025 s, 2 × 1018 s, 5 × 1011 s, 2.3 × 1024 s, and 4.4 × 108 s, respectively. At room temperature, the MnSV-GP sensor has a short recovery time (1.1 s) for N2O molecules. In this way, the MnSV-GP matrix can be predicted as a promising and reusable magnetic gas sensor for detecting N2O, with high selectivity and sensitivity.

4. Conclusions

In this study, we have performed density functional theory to study the adsorption of gas molecules, including CH2O, CO, N2O, SO2, and NH3, on the MnSV-GP and MnN3-GP substrate, respectively. The adsorption geometry, adsorption energy, and electronic and magnetic properties of the adsorption systems have been investigated, and the recovery time has been analyzed according to traditional transition state theory. It was concluded that the MnN3-GP support has a remarkable influence on the adsorption characteristics of the five gas molecules. It has also been found that the MnN3-GP support possesses higher stability and adsorption activity than the MnSV-GP. In addition, the N2O/MnSV-GP system has the lowest recovery time, illustrating that this sensor has excellent selectivity for detecting N2O. Besides that, this study on spin density can conclude that the two supports have the lower selectivity for the NH3 gas than the other four gas molecules. In general, it is shown that Mn-doped graphene have prominent stability, sensitivity, and selectivity in sensing, making them great candidates for application in the field of gas sensors.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/nano14161353/s1, Table S1: The bond lengths (d, Å) between the manganese atom and the nearest adsorption site, the bond lengths (l, Å) of C-H or C-O before and after CH2O adsorption on MnSV-GP and MnN3-GP, respectively; Table S2: The bond lengths (d, Å) between the manganese atom and the nearest adsorption site, and the bond lengths (l, Å) of C-O before and after CO adsorption on the MnSV-GP and MnN3-GP, respectively; Table S3: The bond lengths (d, Å) between the manganese atom and the nearest adsorption site, and the bond lengths (l, Å) of N-N or N-O before and after N2O adsorption on the MnSV-GP and MnN3-GP, respectively; Table S4: The bond lengths (d, Å) between the manganese atom and the nearest adsorption site, and the bond lengths (l, Å) of S-O before and after SO2 adsorption on the MnSV-GP and MnN3-GP, respectively; Table S5: The bond lengths (d, Å) between the manganese atom and the nearest adsorption site, and the bond lengths (l, Å) of N-H before and after NH3 adsorption on the MnSV-GP and MnN3-GP, respectively; Figure S1: The optimized geometric configurations of the chemisorption system after five gas molecules adsorption on the MnSV-GP and MnN3-GP, respectively,, including (a) CH2O, (b) CO, (c) N2O, (d) SO2, and (e) NH3 on the MnSV-GP and (f) CH2O, (g) CO, (h) N2O, (i) SO2, and (j) NH3 on the MnN3-GP, respectively. Figure S2: Total density of states of the chemisorption system for the five gases’ adsorption on MnSV-GP and MnN3-GP support, respectively.

Author Contributions

Conceptualization, T.X. and P.W.; methodology, T.X.; software, T.X. and G.Z.; validation, G.Z.; formal analysis, T.X.; investigation, P.W.; resources, T.X. and G.Z.; data curation, T.X.; writing—original draft preparation, T.X. and C.T.; writing—review and editing, T.X. and C.T.; supervision, T.X. and P.W.; project administration, T.X. and G.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded in part by the Doctoral Research Foundation of Shanxi Datong University under grant no. 2022-B-06, in part by the Fundamental Research Program of Shanxi Province under grant no. 202203021211255, and in part by the Transformation of Scientific and Technological Achievements Programs of Higher Education Institutions in Shanxi under grant no. 2020CG032.

Data Availability Statement

Data are contained within this article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Novoselov, K.S.; Geim, A.K.; Morozov, S.V.; Jiang, D.; Zhang, Y.; Dubonos, S.V.; Grigorieva, I.V.; Firsov, A.A. Electric field effect in atomically thin carbon films. Science 2004, 306, 666–669. [Google Scholar] [CrossRef]
  2. Geim, A.K.; Novoselov, K.S. The rise of graphene. Nat. Mater. 2007, 6, 183–191. [Google Scholar] [CrossRef]
  3. Tombros, N.; Jozsa, C.; Popinciuc, M.; Jonkman, H.T.; van Wees, B.J. Electronic spin transport and spin precession in single graphene layers at room temperature. Nature 2007, 448, 571–574. [Google Scholar] [CrossRef]
  4. Yoo, E.; Kim, J.; Hosono, E.; Zhou, H.; Kudo, T.; Honma, I. Large Reversible Li Storage of Graphene Nanosheet Families for Use in Rechargeable Lithium Ion Batteries. Nano Lett. 2008, 8, 2277–2282. [Google Scholar] [CrossRef]
  5. Schedin, F.; Geim, A.K.; Morozov, S.V.; Hill, E.W.; Blake, P.; Katsnelson, M.I.; Novoselov, K.S. Detection of individual gas molecules adsorbed on graphene. Nat. Mater. 2007, 6, 652–655. [Google Scholar] [CrossRef]
  6. Uchoa, B.; Castro Neto, A.H. Superconducting states of pure and doped graphene. Phys. Rev. Lett. 2007, 98, 146801. [Google Scholar] [CrossRef] [PubMed]
  7. Capone, S.; Forleo, A.; Francioso, L.; Rella, R.; Siciliano, P.; Spadavecchia, J.; Presicce, D.S.; Taurino, A.M. Solid state gas sensors: State of the art and future activities. J. Optoelectron. Adv. Mater. 2003, 5, 1335–1348. [Google Scholar] [CrossRef]
  8. Rabchinskii, M.K.; Sysoev, V.V.; Glukhova, O.E.; Brzhezinskaya, M.; Stolyarova, D.Y.; Varezhnikov, A.S.; Solomatin, M.A.; Barkov, P.V.; Kirilenko, D.A.; Pavlov, S.I.; et al. Guiding Graphene Derivatization for the On-Chip Multisensor Arrays: From the Synthesis to the Theoretical Background. Adv. Mater. Technol. 2022, 7, 2101250. [Google Scholar] [CrossRef]
  9. Wu, S.; He, Q.; Tan, C.; Wang, Y.; Zhang, H. Graphene-based electrochemical sensors. Small 2013, 9, 1160–1172. [Google Scholar] [CrossRef] [PubMed]
  10. Tang, Y.; Chen, W.; Li, C.; Pan, L.; Dai, X.; Ma, D. Adsorption behavior of Co anchored on graphene sheets toward NO, SO2, NH3, CO and HCN molecules. Appl. Surf. Sci. 2015, 342, 191–199. [Google Scholar] [CrossRef]
  11. Gui, Y.; Peng, X.; Liu, K.; Ding, Z. Adsorption of C2H2, CH4 and CO on Mn-doped graphene: Atomic, electronic, and gas-sensing properties. Phys. E Low-Dimens. Syst. Nanostruct. 2020, 119, 113959. [Google Scholar] [CrossRef]
  12. Sun, Y.; Chen, L.; Zhang, F.; Li, D.; Pan, H.; Ye, J. First-principles studies of HF molecule adsorption on intrinsic graphene and Al-doped graphene. Solid. State Commun. 2010, 150, 1906–1910. [Google Scholar] [CrossRef]
  13. Leenaerts, O.; Partoens, B.; Peeters, F.M. Adsorption of H2O, NH3, CO, NO2, and NO on graphene: A first-principles study. Phys. Rev. B 2008, 77, 125416. [Google Scholar] [CrossRef]
  14. Rabchinskii, M.K.; Sysoev, V.V.; Varezhnikov, A.S.; Solomatin, M.A.; Struchkov, N.S.; Stolyarova, D.Y.; Ryzhkov, S.A.; Antonov, G.A.; Gabrelian, V.S.; Cherviakova, P.D.; et al. Toward On-Chip Multisensor Arrays for Selective Methanol and Ethanol Detection at Room Temperature: Capitalizing the Graphene Carbonylation. ACS Appl. Mater. Interfaces 2023, 15, 28370–28386. [Google Scholar] [CrossRef] [PubMed]
  15. Zhang, Y.H.; Chen, Y.B.; Zhou, K.G.; Liu, C.H.; Zeng, J.; Zhang, H.L.; Peng, Y. Improving gas sensing properties of graphene by introducing dopants and defects: A first-principles study. Nanotechnology 2009, 20, 185504. [Google Scholar] [CrossRef] [PubMed]
  16. Liu, J. Catalysis by Supported Single Metal Atoms. ACS Catal. 2016, 7, 34–59. [Google Scholar] [CrossRef]
  17. Guo, Y.; Lang, R.; Qiao, B. Highlights of Major Progress on Single-Atom Catalysis in 2017. Catalysts 2019, 9, 135. [Google Scholar] [CrossRef]
  18. Wang, A.; Li, J.; Zhang, T. Heterogeneous single-atom catalysis. Nat. Rev. Chem. 2018, 2, 65–81. [Google Scholar] [CrossRef]
  19. Lin, Y.-C.; Teng, P.-Y.; Yeh, C.-H.; Koshino, M.; Chiu, P.-W.; Suenaga, K. Structural and chemical dynamics of pyridinic-nitrogen defects in graphene. Nano Lett. 2015, 15, 7408–7413. [Google Scholar] [CrossRef] [PubMed]
  20. Toh, R.J.; Poh, H.L.; Sofer, Z.; Pumera, M. Transition metal (Mn, Fe, Co, Ni)-doped graphene hybrids for electrocatalysis. Chem. Asian J. 2013, 8, 1295–1300. [Google Scholar] [CrossRef]
  21. Cui, X.; Xiao, J.; Wu, Y.; Du, P.; Si, R.; Yang, H.; Tian, H.; Li, J.; Zhang, W.H.; Deng, D.; et al. A Graphene Composite Material with Single Cobalt Active Sites: A Highly Efficient Counter Electrode for Dye-Sensitized Solar Cells. Angew. Chem. Int. Ed. 2016, 55, 6708–6712. [Google Scholar] [CrossRef]
  22. Li, Y.; Zhou, Z.; Yu, G.; Chen, W.; Chen, Z. CO Catalytic Oxidation on Iron-Embedded Graphene: Computational Quest for Low-Cost Nanocatalysts. J. Phys. Chem. C 2010, 114, 6250–6254. [Google Scholar] [CrossRef]
  23. Shi, L.B.; Wang, Y.P.; Dong, H.K. First-principle study of structural, electronic, vibrational and magnetic properties of HCN adsorbed graphene doped with Cr, Mn and Fe. Appl. Surf. Sci. 2015, 329, 330–336. [Google Scholar] [CrossRef]
  24. Yang, W.; Gao, Z.; Ding, X.; Lv, G.; Yan, W. The adsorption characteristics of mercury species on single atom iron catalysts with different graphene-based substrates. Appl. Surf. Sci. 2018, 455, 940–951. [Google Scholar] [CrossRef]
  25. Mao, Y.; Yuan, J.; Zhong, J. Density functional calculation of transition metal adatom adsorption on graphene. J. Phys. Condens. Matter 2008, 20, 115209. [Google Scholar] [CrossRef]
  26. Cho, B.; Yoon, J.; Hahm, M.G.; Kim, D.-H.; Kim, A.R.; Kahng, Y.H.; Park, S.-W.; Lee, Y.-J.; Park, S.-G.; Kwon, J.-D.; et al. Graphene-based gas sensor: Metal decoration effect and application to a flexible device. J. Mater. Chem. C 2014, 2, 5280–5285. [Google Scholar] [CrossRef]
  27. Zhang, H.; Luo, X.; Lin, X.; Lu, X.; Leng, Y. Density functional theory calculations of hydrogen adsorption on Ti-, Zn-, Zr-, Al-, and N-doped and intrinsic graphene sheets. Int. J. Hydrogen Energy 2013, 38, 14269–14275. [Google Scholar] [CrossRef]
  28. Zhang, H.-p.; Luo, X.-g.; Lin, X.-y.; Lu, X.; Leng, Y.; Song, H.-t. Density functional theory calculations on the adsorption of formaldehyde and other harmful gases on pure, Ti-doped, or N-doped graphene sheets. Appl. Surf. Sci. 2013, 283, 559–565. [Google Scholar] [CrossRef]
  29. Luo, M.; Liang, Z.; Gouse Peera, S.; Chen, M.; Liu, C.; Yang, H.; Liu, J.; Pramod Kumar, U.; Liang, T. Theoretical study on the adsorption and predictive catalysis of MnN4 embedded in carbon substrate for gas molecules. Appl. Surf. Sci. 2020, 525, 146480. [Google Scholar] [CrossRef]
  30. Lee, Y.; Lee, S.; Hwang, Y.; Chung, Y.-C. Modulating magnetic characteristics of Pt embedded graphene by gas adsorption (N2, O2, NO2, SO2). Appl. Surf. Sci. 2014, 289, 445–449. [Google Scholar] [CrossRef]
  31. Zhang, Y.-H.; Han, L.-F.; Xiao, Y.-H.; Jia, D.-Z.; Guo, Z.-H.; Li, F. Understanding dopant and defect effect on H2S sensing performances of graphene: A first-principles study. Comput. Mater. Sci. 2013, 69, 222–228. [Google Scholar] [CrossRef]
  32. Ashori, E.; Nazari, F.; Illas, F. Adsorption of H2S on carbonaceous materials of different dimensionality. Int. J. Hydrogen Energy 2014, 39, 6610–6619. [Google Scholar] [CrossRef]
  33. Zhou, M.; Lu, Y.-H.; Cai, Y.-Q.; Zhang, C.; Feng, Y.-P. Adsorption of gas molecules on transition metal embedded graphene: A search for high-performance graphene-based catalysts and gas sensors. Nanotechnology 2011, 22, 385502. [Google Scholar] [CrossRef] [PubMed]
  34. Gao, Q. A DFT study of the ORR on M–N3 (M = Mn, Fe, Co, Ni, or Cu) co-doped graphene with moiety-patched defects. Ionics 2019, 26, 2453–2465. [Google Scholar] [CrossRef]
  35. Ohno, H.; Shen, A.; Matsukura, F.; Oiwa, A.; Endo, A.; Katsumoto, S.; Iye, Y. (Ga, Mn) As: A new diluted magnetic semiconductor based on GaAs. Appl. Phys. Lett. 1996, 69, 363–365. [Google Scholar] [CrossRef]
  36. Zhang, T.; Sun, H.; Wang, F.; Zhang, W.; Tang, S.; Ma, J.; Gong, H.; Zhang, J. Adsorption of phosgene molecule on the transition metal-doped graphene: First principles calculations. Appl. Surf. Sci. 2017, 425, 340–350. [Google Scholar] [CrossRef]
  37. Chan, K.T.; Neaton, J.B.; Cohen, M.L. First-principles study of metal adatom adsorption on graphene. Phys. Rev. B 2008, 77, 235430. [Google Scholar] [CrossRef]
  38. Kresse, G.; Furthmüller, J. Efficiency of ab-initio total energy calculations for metals and semiconductors using a plane-wave basis set. Comput. Mater. Sci. 1996, 6, 15–50. [Google Scholar] [CrossRef]
  39. Grimme, S. Semiempirical GGA-type density functional constructed with a long-range dispersion correction. J. Comput. Chem. 2006, 27, 1787–1799. [Google Scholar] [CrossRef]
  40. Perdew, J.P.; Burke, K.; Ernzerhof, M. Generalized gradient approximation made simple. Phys. Rev. Lett. 1996, 77, 3865. [Google Scholar] [CrossRef]
  41. Kresse, G.; Joubert, D. From ultrasoft pseudopotentials to the projector augmented-wave method. Phys. Rev. B 1999, 59, 1758–1775. [Google Scholar] [CrossRef]
  42. Santos, E.J.G.; Ayuela, A.; Sánchez-Portal, D. First-principles study of substitutional metal impurities in graphene: Structural, electronic and magnetic properties. New J. Phys. 2010, 12, 053012. [Google Scholar] [CrossRef]
  43. Sevinçli, H.; Topsakal, M.; Durgun, E.; Ciraci, S. Electronic and magnetic properties of 3d transition-metal atom adsorbed graphene and graphene nanoribbons. Phys. Rev. B 2008, 77, 195434. [Google Scholar] [CrossRef]
  44. Gao, X.; Zhou, Y.; Liu, S.; Tan, Y.; Cheng, Z.; Shen, Z. FeN3-embedded carbon as an efficient sorbent for mercury adsorption: A theoretical study. Chem. Eng. J. 2019, 374, 1337–1343. [Google Scholar] [CrossRef]
  45. Gao, Z.; Yang, W.; Ding, X.; Lv, G.; Yan, W. Support effects in single atom iron catalysts on adsorption characteristics of toxic gases (NO2, NH3, SO3 and H2S). Appl. Surf. Sci. 2018, 436, 585–595. [Google Scholar] [CrossRef]
  46. Tang, W.; Sanville, E.; Henkelman, G. A grid-based Bader analysis algorithm without lattice bias. J. Phys. Condens. Matter 2009, 21, 084204. [Google Scholar] [CrossRef]
  47. Momma, K.; Izumi, F. VESTA 3for three-dimensional visualization of crystal, volumetric and morphology data. J. Appl. Crystallogr. 2011, 44, 1272–1276. [Google Scholar] [CrossRef]
  48. Wu, M.; Cao, C.; Jiang, J.Z. Electronic structure of substitutionally Mn-doped graphene. New J. Phys. 2010, 12, 063020. [Google Scholar] [CrossRef]
  49. Dai, J.; Yuan, J. Adsorption of molecular oxygen on doped graphene: Atomic, electronic, and magnetic properties. Phyical Rev. B 2010, 81, 165414. [Google Scholar] [CrossRef]
  50. Luo, M.; Liang, Z.; Liu, C.; Liu, M.; Qi, X.; Chen, M.; Yang, H.; Liang, T. Theoretical Calculation of Different Reaction Mechanisms for CO Oxidation on MnN3-Doped Graphene. ACS Omega 2020, 5, 21203–21210. [Google Scholar] [CrossRef]
  51. Gao, Z.; Xu, S.; Li, L.; Yan, G.; Yang, W.; Wu, C.; Gates, I.D. On the adsorption of elemental mercury on single-atom TM (TM = V, Cr, Mn, Co) decorated graphene substrates. Appl. Surf. Sci. 2020, 516, 146037. [Google Scholar] [CrossRef]
  52. Cordero, B.; Gomez, V.; Platero-Prats, A.E.; Reves, M.; Echeverria, J.; Cremades, E.; Barragan, F.; Alvarez, S. Covalent radii revisited. Dalton Trans. 2008, 21, 2832–2838. [Google Scholar] [CrossRef]
  53. Janthon, P.; Kozlov, S.M.; Vines, F.; Limtrakul, J.; Illas, F. Establishing the Accuracy of Broadly Used Density Functionals in Describing Bulk Properties of Transition Metals. J. Chem. Theory Comput. 2013, 9, 1631–1640. [Google Scholar] [CrossRef]
  54. Luo, M.; Liang, Z.; Chen, M.; Peera, S.G.; Liu, C.; Yang, H.; Qi, X.; Liu, J.; Liang, T. Catalytic oxidation mechanisms of carbon monoxide over single- and double-vacancy Mn-embedded graphene. New J. Chem. 2020, 44, 9402–9410. [Google Scholar] [CrossRef]
  55. Shi, L.-B.; Dong, H.-K.; Qi, G.-Q. Density functional theory description of origin of ferromagnetism in Cu doped SnO2. J. Magn. Magn. Mater. 2013, 345, 215–221. [Google Scholar] [CrossRef]
  56. Jacobs, T.D.B.; Gotsmann, B.; Lantz, M.A.; Carpick, R.W. On the Application of Transition State Theory to Atomic-Scale Wear. Tribol. Lett. 2010, 39, 257–271. [Google Scholar] [CrossRef]
  57. Impeng, S.; Junkaew, A.; Maitarad, P.; Kungwan, N.; Zhang, D.; Shi, L.; Namuangruk, S. A MnN4 moiety embedded graphene as a magnetic gas sensor for CO detection: A first principle study. Appl. Surf. Sci. 2019, 473, 820–827. [Google Scholar] [CrossRef]
Figure 1. (a,b) The geometric structure, top and side view, obtained from geometry optimization. (c,d) Charge density difference in MnSV-GP and MnN3-GP, respectively. Yellow contours indicate electron accumulation, and cyan contours indicate electron depletion. And other colors represent the chemical elements.
Figure 1. (a,b) The geometric structure, top and side view, obtained from geometry optimization. (c,d) Charge density difference in MnSV-GP and MnN3-GP, respectively. Yellow contours indicate electron accumulation, and cyan contours indicate electron depletion. And other colors represent the chemical elements.
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Figure 2. The adsorption energies of five gas molecules adsorbed on two Mn/GN catalysts. Each calculated binding energy is denoted as its absolute value.
Figure 2. The adsorption energies of five gas molecules adsorbed on two Mn/GN catalysts. Each calculated binding energy is denoted as its absolute value.
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Figure 3. DOS and PDOS distribution: before and after gas molecule adsorption on MnSV-GP (a) CH2O, (b) CO, (c) N2O, (d) SO2, and (e) NH3. Fermi energy is set to zero.
Figure 3. DOS and PDOS distribution: before and after gas molecule adsorption on MnSV-GP (a) CH2O, (b) CO, (c) N2O, (d) SO2, and (e) NH3. Fermi energy is set to zero.
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Figure 4. DOS and PDOS distribution: before and after gas molecule adsorption on MnN3-GP (a) CH2O, (b) CO, (c) N2O, (d) SO2, and (e) NH3.
Figure 4. DOS and PDOS distribution: before and after gas molecule adsorption on MnN3-GP (a) CH2O, (b) CO, (c) N2O, (d) SO2, and (e) NH3.
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Figure 5. The charge density differences in (ae) CH2O, CO, N2O, SO2, and NH3 adsorbed on the MnSV-GP and (fj) CH2O, CO, N2O, SO2, and NH3 adsorbed on the MnN3-GP configuration. Yellow contours indicate electron accumulation, and cyan contours indicate electron depletion. And other colors present chemical elements, such as purple color denotes Mn atom. Isosurface value: 0.002 e/Bohr3.
Figure 5. The charge density differences in (ae) CH2O, CO, N2O, SO2, and NH3 adsorbed on the MnSV-GP and (fj) CH2O, CO, N2O, SO2, and NH3 adsorbed on the MnN3-GP configuration. Yellow contours indicate electron accumulation, and cyan contours indicate electron depletion. And other colors present chemical elements, such as purple color denotes Mn atom. Isosurface value: 0.002 e/Bohr3.
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Figure 6. The spin density for two supports and gas-support chemisorption systems. (a) The spin density of the MnSV-GP before adsorption; (bf) The spin density of the MnSV-GP after adsorption of CH2O, CO, N2O, SO2, and NH3, respectively; (g) The spin density of the MnN3-GP before adstorption; (hl) The spin density of the MnN3-GP after adsorption of CH2O, CO, N2O, SO2, and NH3, respectively. The yellow and cyan areas indicate the positive and negative spin densities respectively; isosurface value: 0.005 e/Bohr3. And other colors present chemical elements, such as red and green color represent oxygen and sulfur atom, respectively.
Figure 6. The spin density for two supports and gas-support chemisorption systems. (a) The spin density of the MnSV-GP before adsorption; (bf) The spin density of the MnSV-GP after adsorption of CH2O, CO, N2O, SO2, and NH3, respectively; (g) The spin density of the MnN3-GP before adstorption; (hl) The spin density of the MnN3-GP after adsorption of CH2O, CO, N2O, SO2, and NH3, respectively. The yellow and cyan areas indicate the positive and negative spin densities respectively; isosurface value: 0.005 e/Bohr3. And other colors present chemical elements, such as red and green color represent oxygen and sulfur atom, respectively.
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Table 1. The structural parameters of MnSV-GP and MnN3-GP, including binding energies (Eb), the bond length (d) between the manganese atom and the nearest three C or N atoms, the height (h) of Mn atoms above the graphene surface, the total magnetic moment (M), and the charge transfer (Δq) of Mn atoms on MnSV-GP and MnN3-GP.
Table 1. The structural parameters of MnSV-GP and MnN3-GP, including binding energies (Eb), the bond length (d) between the manganese atom and the nearest three C or N atoms, the height (h) of Mn atoms above the graphene surface, the total magnetic moment (M), and the charge transfer (Δq) of Mn atoms on MnSV-GP and MnN3-GP.
SubstrateEb (eV)d (Å)h (Å)MB)Δq (e)
MnSV-GP−6.12 (−6.39 [48])1.83 (1.83 [49])1.40 (1.37 [48])3.00 (3.00 [49])0.88 (0.90 [48])
MnN3-GP−4.20 (−4.35 [50])2.00 (2.00 [51])1.65 (1.65 [51])5.150.96 (0.97 [51])
Table 2. The change in adsorbed gases in valence electron number (the symbols “+” and “−” represent electronic gain and loss).
Table 2. The change in adsorbed gases in valence electron number (the symbols “+” and “−” represent electronic gain and loss).
GasΔq-Gas
On the MnSV-GPOn the MnN3-GP
CH2O+0.41+0.67
CO+0.25+0.37
N2O+0.38+0.72
SO2+0.49+0.75
NH3−0.11−0.09
Table 3. The total magnetic moment of the adsorption systems.
Table 3. The total magnetic moment of the adsorption systems.
GasM (μB)
On the MnSV-GPOn the MnN3-GP
CH2O1.003.93
CO1.004.27
N2O1.003.98
SO21.003.76
NH31.004.70
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Xie, T.; Tian, C.; Wang, P.; Zhao, G. The Adsorption Behavior of Gas Molecules on Mn/N- and Mn-Doped Graphene. Nanomaterials 2024, 14, 1353. https://doi.org/10.3390/nano14161353

AMA Style

Xie T, Tian C, Wang P, Zhao G. The Adsorption Behavior of Gas Molecules on Mn/N- and Mn-Doped Graphene. Nanomaterials. 2024; 14(16):1353. https://doi.org/10.3390/nano14161353

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Xie, Tingyue, Cuifeng Tian, Ping Wang, and Guozheng Zhao. 2024. "The Adsorption Behavior of Gas Molecules on Mn/N- and Mn-Doped Graphene" Nanomaterials 14, no. 16: 1353. https://doi.org/10.3390/nano14161353

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