Author(s) |
Alfalasi, Wadha
Alghoul, Ibrahim
Hussain, Tanveer
Al-Ali, Amna
Albalooshi, Aaesha
Aldhanhani, Mazoun
Al-Sayari, Hednna
Ibrahim, Hagar
Tit, Nacir
|
Publication Date |
2024
|
Abstract |
<p>Selective sensing properties of transition metal dichalcogenides (MoX<sub>2</sub>, X = S, Se) towards specific volatile organic compounds (VOCs) associated with lung-cancer are investigated using state-of-the-art density-functional theory (DFT) methods. In the present investigation, a combination of DFT and the non-equilibrium Green's functions (NEGF) formalism are employed to probe the sensing of four VOCs" namely: (i) Isoprene "C<sub>5</sub>H<sub>8</sub>", (ii) Toluene "C<sub>7</sub>H<sub>8</sub>", (iii) Cyclopropanone "C<sub>3</sub>H<sub>4</sub>O", and (iv) Isopropanol "C<sub>3</sub>H<sub>8</sub>O"" and four interfering air molecules CO<sub>2</sub>, H<sub>2</sub>O, N<sub>2</sub> and O<sub>2</sub>. We find that the doping of single atom of selected transition metals (TMs = Mn, Fe, Ni, Cu) can enhance both the sensitivity and the selectivity of MoX<sub>2</sub>. Our results show that the selectivity is rather distinct towards the detection of VOCs when TMs doping is targeting the chalcogenide site. Adsorption energies, charge transfers, electronic properties through density of states and band structures, and the sensor responses are obtained in all the cases, particularly for C<sub>5</sub>H<sub>8</sub> and C<sub>3</sub>H<sub>8</sub>O, which show superior selectivities. Enhanced selectivity is attributed to the enhancement in the polarity of the substrate after the TMs doping targeting the chalcogenide sites. Our work demonstrates the potential of MoX<sub>2</sub> based single atom catalysts as efficient biosensor towards the specific VOCs for the early diagnosis of lung cancer.</p>
|
Citation |
FlatChem, v.45, p. 1-13
|
ISSN |
2452-2627
|
Link | |
Publisher |
Elsevier BV
|
Title |
Efficient detection of lung cancer biomarkers using functionalized transition metal dichalcogenides (MoS2) Monolayers: DFT study
|
Type of document |
Journal Article
|
Entity Type |
Publication
|
Name | Size | format | Description | Link |
---|