APA Style
Fatemeh Mollaamin. (2025). Smart Gas Sensing by (Al/C/Si)-Doped Boron Nitride Nanomaterial Towards Grabbing Nitric Oxide: A Novel Applied Technique for Air Pollution Reduction by DFT Analysis. Molecular Modeling Connect, 2 (Article ID: 0005). https://doi.org/10.69709/MolModC.2025.339955MLA Style
Fatemeh Mollaamin. "Smart Gas Sensing by (Al/C/Si)-Doped Boron Nitride Nanomaterial Towards Grabbing Nitric Oxide: A Novel Applied Technique for Air Pollution Reduction by DFT Analysis". Molecular Modeling Connect, vol. 2, 2025, Article ID: 0005, https://doi.org/10.69709/MolModC.2025.339955.Chicago Style
Fatemeh Mollaamin. 2025. "Smart Gas Sensing by (Al/C/Si)-Doped Boron Nitride Nanomaterial Towards Grabbing Nitric Oxide: A Novel Applied Technique for Air Pollution Reduction by DFT Analysis." Molecular Modeling Connect 2 (2025): 0005. https://doi.org/10.69709/MolModC.2025.339955.Volume 2, Article ID: 2025.0005
Fatemeh Mollaamin
fmollaamin@kastamonu.edu.tr
1 Department of Biomedical Engineering, Faculty of Engineering and Architecture, Kastamonu University, Kastamonu 37150, Turkey
Received: 21 Aug 2024 Accepted: 09 Dec 2024 Available Online: 09 Dec 2024 Published: 04 Apr 2025
The electronic, magnetic, and thermodynamic properties of adsorption of toxic gases, including Nitric oxide (NO) by using Y (Y = Al, C, Si)-doped boron nitride nanocage (BN) have been investigated using density functional theory (DFT). The results denote that NO→Y–BN are stable compounds, with the most stable adsorption site being the center of the cage ring. Furthermore, the reported results of nuclear magnetic resonance (NMR) spectroscopy have exhibited the strength of covalent bonds between aluminum, carbon, silicon, and NO molecules toward toxic gas removal from the air. Based on the results of
Developing non-carbon-based adsorbents is essential for removing heavy metals from post-incineration flue gas. Boron nitride nanomaterials have been used due to their unparalleled eco-friendly attributes, making them ideal for pollutant adsorption and semiconducting properties [1,2,3,4]. Boron nitride nanomaterials usually exhibit semi-leading behavior, which is considered a proper alternative to carbon nanotubes. The properties of boron and nitrogen atoms, which are the first neighbors of carbon in the periodic table, make boron nitride an interesting subject of numerous studies [5,6,7]. In recent years, different investigations on the adsorption of chemical contaminants and the application of various boron nitride nanostructures as adsorbents for water purification have been studied [8,9,10]. Various physical shapes of boron nitride (BN)-based nano adsorbents such as nanoparticles, fullerenes, nanotubes, nanofibers, nanoribbons, nanosheets, nanomeshes, nanoflowers, and hollow spheres have been broadly considered possible adsorbents. They are valued for their exceptional characteristics, including a large surface area, structural variability, high chemical/mechanical strength, abundant structural defects, high reactive sites, and functional groups [11,12]. Regarding computational methods, the researchers have investigated the structural stability and physicochemical properties of the N-rich BN fullerene using the density functional theory at the level of the generalized gradient approximation. For this purpose, the Heyd–Scuseria–Ernzerhof (HSE) screened hybrid density functional and the 6-31G(d) basis set was used. They have indicated that the B24N36 fullerene is stable and behaves as a semiconductor compound [13]. The capability to control the physical and chemical properties of nanosized materials utilizing experimental and theoretical methods has impacted positively many research fields [14,15,16,17,18]. Therefore, in this research article, a computational study of NO adsorption on the surface of a non-symmetric atom-doped boron nitride was reported. The effect of NO adsorption on the structural and physicochemical properties has been determined, and the possibility of using this nanostructure for applications in gas sensing has been discussed. Our findings can divulge the promising potential of the doped (BN) -based nanomaterial as a highly sensitive molecular sensor for NO detection and a catalyst for NO dissociation.
The BN hollow nanocages have typically spherical morphologies with crystalline structures. Their internal space is divided into separate compartments by the internal walls. This method may be generally applicable to the fabrication of BN-sheathed nanocrystals (Figure 1). The input Z-matrix for adsorption of NO molecules in air by the Y–BN has been designed using 6-311+G (d,p), EPR–3, LANL2DZ basis set. In this study, the interaction between gas molecules and Y–BN was modeled and analyzed [19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35] (Figure 2).
In our previous works, the application of density functional theory (DFT) calculations through materials modelling has been accomplished [36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59]. The first principle’s calculations assess an important function in developing and optimizing new energy-saving and conversion materials [60]. In DFT, as it is used for computational chemistry, the hybrid functional Becke 3-parameter Lee-Yang-Parr (B3LYP) [27] appears to offer the greatest contribution. A new hybrid exchange–correlation function named the Coulomb-Attenuating Method with B3LYP (CAM–B3LYP) is proposed, which combines the hybrid qualities of B3LYP and the long-range correction [61]. Besides, in the DFT–D3 method of Grimme et al., the following expression for the Van Der Waals (vdW)-dispersion energy-correction term is used [62].
The data has evaluated the efficiency of a boron nitride nanocage doped with aluminum, carbon, and silicon (Y–BN) for gas detection. The nuclear quadrupole resonance (NQR) frequency at which transitions occur is particular for NO→Y–BN complexes (Table 1) [63,64,65,66]. In this research, the electric potential has been evaluated for NO→Al–BN, NO→C–BN, and NO→Si–BN complexes (Table 1). This is considered as the amount of work energy required to transfer an electric charge from one position to another within the electric field. The electric potential (Ep/a.u.) and Bader charge (Q/coulomb) through NQR calculation for NO→Al–BN, NO→C–BN, and NO→Si–BN complexes using CAM–B3LYP–D3/EPR–3, LANL2DZ calculation. The doping atoms of “Al (15), C (15), Si (15)” on the BN have shown the most potential for accepting the electron from the electron donor of “N (1) in NO” adsorbed on the BN (Table 1). Furthermore, the electric potential of nuclear quadrupole resonance for some atoms of “Al, C, Si/ B, N in Y– BN and N, O” of gas molecules has been sketched (Figure 3a–c). In Figure 3a,b, the behavior of NO adsorption on the Al–BN, and C–BN, respectively, was observed with high sensitivity based on the relation coefficient of R² = 0.9945 and R² = 0.9827. The adsorption of NO molecules on the Si–BN in Figure 3c has illustrated the analogous with the highest sensing of R² = 0.9925. The curve of Y–BN is waved by these gas molecules. The fluctuated peaks for electric potential have been shown around NO trapping on the Y–BN, which demonstrates the electron-accepting specifications of nitrogen and oxygen versus the aluminum, carbon, and silicon doped on the BN (Figure 3a–c). Aluminum and silicon doped on BN (adsorbents) with an average of 1.1 coulomb of atomic charge on (Al, Si)–BN have shown similar behavior in the procedure of gas molecules (adsorbates) removal. “The NMR data of isotropic (σiso) and anisotropic shielding tensors (σaniso)” [64,65] of gas molecules trapped in the “Y–BN” towards the formation of “NO→Al–BN, NO→C–BN, and NO→Si–BN” complexes have been computed by “Gaussian 16 revision C.01” program package [34] and been shown in Table 2. Data of NMR shielding tensors for selected atoms of NO→Al–BN, NO→C–BN, and NO→Si–BN. The adsorption of NO molecules can introduce spin polarization on the Y–BN, which indicates that these surfaces might be applied as magnetic scavenging surfaces for a gas detector. Figure 4 exhibited the same tendency of shielding for boron and nitrogen; however, a considerable deviation exists from doping atoms of Al (15), C (15), and Si (15). In Figure 4a–c, gas molecules of NO molecules in the complexes of NO→C–BN (Figure 4a), NO→Si–BN (Figure 4b), and NO→Al–BN (Figure 4c) denote the fluctuation in the chemical shielding during ion trapping. Figure 4a–c shows the gap in chemical shielding between aluminum, carbon, and silicon doping of Y–BN nanocage, and gas molecules. The yield of electron-accepting for doping atoms on the Y–BN through gas molecules adsorption can be ordered as: Si ˃ Al ˃> C approves the possibility of a covalent bond between aluminum, carbon, silicon, and these NO molecules. The several clusters containing NO→Al–BN (Figure 5a), NO→C–BN (Figure 5b), and NO→Si–BN (Figure 5c) have been computed by Gaussian 16 revision C.01 program package [34] towards extracting IR spectra from GaussView 6.1 [35]. Table 3, through the thermodynamic specifications, concluded that Y–BN, due to the adsorption of NO molecules, might be more efficient sensors for detecting and removing the gas molecules from polluted air. The thermodynamic characteristics of NO→Al–BN, NO→C–BN, and NO→Si–BN complexes. It has been shown that for a given number of nitrogen donor sites in NO molecules, the stabilities of complexes owing to doping atoms of Al, C, and Si can be considered as: NO→Al–BN > NO→C–BN > NO→Si–BN (Table 3). The thermodynamic data in Table 3 could detect the maximum efficiency of Al, C, and Si atoms doping of BN for gas molecules adsorption through
NO→Al–BN
NO→C–BN
NO→Si–BN
Atom
Q
Ep
Atom
Q
Ep
Atom
Q
Ep
N1
–0.1853
–18.082
N1
0.1466
–18.1839
N1
–0.1906
–18.2495
O2
–0.0268
–21.9319
O2
–0.0949
–22.2001
O2
–0.0846
–22.2135
B3
0.3040
–11.2292
B3
0.0321
–11.2869
B3
0.0273
–11.2791
N4
–0.1757
–18.0903
N4
–0.014
–18.2911
N4
0.0080
–18.2831
N5
–0.1524
–18.0544
N5
–0.0458
–18.268
N5
0.0060
–18.2656
B6
0.3033
–11.2288
B6
0.0310
–11.2865
B6
0.0310
–11.2787
B7
0.2954
–11.2274
B7
0.0323
–11.2871
B7
0.0303
–11.2793
B8
0.2970
–11.2278
B8
0.0316
–11.287
B8
0.0316
–11.2788
N9
–0.1558
–18.0628
N9
–0.0256
–18.2799
N9
–0.0205
–18.269
N10
–0.1434
–18.0452
N10
–0.0447
–18.2682
N10
0.0066
–18.2652
N11
–0.2581
–18.1141
N11
–0.0369
–18.2631
N11
–0.2401
–18.2808
N12
–0.2549
–18.1122
N12
–0.0337
–18.2633
N12
–0.2300
–18.2805
N13
–0.2532
–18.1122
N13
–0.0326
–18.2642
N13
–0.2316
–18.2817
N14
–0.2595
–18.1145
N14
–0.0328
–18.2626
N14
–0.2309
–18.2802
Al15
0.9984
–43.644
C15
0.1190
–14.5472
Si15
1.0996
–1.75968
N16
–0.1580
–18.0648
N16
–0.0259
–18.2804
N16
–0.0204
–18.2692
N17
–0.1748
–18.0893
N17
–0.0091
–18.2903
N17
0.0082
–18.2832
NO→Al–BN
NO→C–BN
NO→Si–BN
Atom
σiso
σaniso
Atom
σiso
σaniso
Atom
σiso
σaniso
N1
8623.32
27621.57
N1
767.22
574.98
N1
192.56
384.90
O2
19,114.01
60055.67
O2
1697.96
1904.72
O2
483.66
446.82
B3
86.22
111.56
B3
83.21
75.50
B3
82.97
83.28
N4
398.76
5613.57
N4
698.49
846.36
N4
632.16
715.69
N5
1776.02
4560.20
N5
419.17
284.09
N5
460.89
248.70
B6
49.90
132.42
B6
84.90
76.89
B6
82.84
84.06
B7
88.70
112.26
B7
83.80
78.10
B7
83.55
82.75
B8
71.25
98.23
B8
84.84
75.04
B8
82.66
83.30
N9
673.90
3914.01
N9
421.55
778.5
N9
336.67
513.56
N10
2101.53
4479.16
N10
417.63
182.60
N10
457.73
296.56
N11
1145.30
6048.66
N11
574.52
402.81
N11
461.37
425.06
N12
284.26
4440.80
N12
538.46
433.46
N12
468.95
388.36
N13
434.51
1761.12
N13
581.63
365.00
N13
499.78
451.39
N14
681.36
2664.93
N14
556.56
519.43
N14
465.66
387.06
Al15
44.57
1469.07
C15
8.39
43.65
Si15
14.62
12.52
N16
496.25
2696.81
N16
390.13
810.91
N16
329.86
536.87
N17
2319.99
5536.37
N17
685.03
860.42
N17
611.84
711.69
Compound
Dipole moment
(Debye)∆Eo × 10−3
(kcal/mol)∆Ho × 10−3
(kcal/mol)∆Go × 10−3
(kcal/mol)So
(cal/K.mol)
NO→Al–BN
0.6009
–630.889
–630.889
–630.920
103.437
NO→C–BN
0.2465
–510.557
–510.556
–510.588
103.732
NO→Si–BN
1.1293
–489.207
–489.206
–489.239
108.794
This research has investigated doping of Al, C, and Si elements on the boron nitride nanocage (Y–BN) for enhancing toxic gas sensing of these nanomaterials for air pollution removal. Therefore, no molecular separation involving Y–BN has been experimentally conducted based on electrostatic interactions between the gas molecules and Y–BN. The selectivity of atom-doped on boron nitride nanocage (gas sensor) for gas molecule adsorption can result in: C–BN and Si–BN for NO adsorption.
NO | Nitric Oxide |
BN | Boron Nitride |
DFT | Density Functional Theory |
NMR | Nuclear Magnetic Resonance |
B3LYP | Becke 3-parameter Lee-Yang-Parr |
CAM | Coulomb-Attenuating Method |
NQR | Nuclear Quadrupole Resonance |
The author confirms that she was solely responsible for the conception, design, analysis, interpretation, drafting, and final approval of the article.
Data supporting the results of this study are available upon request from the corresponding author.
The author declares no conflicts of interest regarding this manuscript.
The research has no external funding support.
The author is grateful to Kastamonu University for completing this paper and its research.
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