Next Article in Journal
Channel Measurement and Feasibility Test for Wireless Avionics Intra-Communications
Previous Article in Journal
Exploiting Impact of Hardware Impairments in NOMA: Adaptive Transmission Mode in FD/HD and Application in Internet-of-Things
Previous Article in Special Issue
A New Electro-Optical Switch Modulator Based on the Surface Plasmon Polaritons of Graphene in Mid-Infrared Band
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Electrical Properties of Two-Dimensional Materials Used in Gas Sensors

by
Rafael Vargas-Bernal
Departamento de Ingeniería en Materiales, Instituto Tecnológico Superior de Irapuato (ITESI), Carretera Irapuato-Silao Km. 12.5, Irapuato, Guanajuato 36821, Mexico
Sensors 2019, 19(6), 1295; https://doi.org/10.3390/s19061295
Submission received: 3 January 2019 / Revised: 10 February 2019 / Accepted: 8 March 2019 / Published: 14 March 2019
(This article belongs to the Special Issue Graphene Based Sensors and Electronics)

Abstract

:
In the search for gas sensing materials, two-dimensional materials offer the possibility of designing sensors capable of tuning the electronic band structure by controlling their thickness, quantity of dopants, alloying between different materials, vertical stacking, and the presence of gases. Through materials engineering it is feasible to study the electrical properties of two-dimensional materials which are directly related to their crystalline structure, first Brillouin zone, and dispersion energy, the latter estimated through the tight-binding model. A review of the electrical properties directly related to the crystalline structure of these materials is made in this article for the two-dimensional materials used in the design of gas sensors. It was found that most 2D sensing materials have a hexagonal crystalline structure, although some materials have monoclinic, orthorhombic and triclinic structures. Through the simulation of the mathematical models of the dispersion energy, two-dimensional and three-dimensional electronic band structures were predicted for graphene, hexagonal boron nitride (h-BN) and silicene, which must be known before designing a gas sensor.

1. Introduction

Since the isolation of graphene in 2004, numerous two-dimensional materials have been discovered, isolated, synthesized [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15], and/or developed using computational tools. Researchers around the world have shifted their research focus from the syntheses processes to the modification of two-dimensional materials to optimize their electronic properties in the design of emerging electronic devices such as solar cells, supercapacitors, field effect transistors (FETs), and gas sensors [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32]. Among the electronic properties that can be controlled is the structure of energy bands which can be achieved through: (1) alloying between two-dimensional materials to form two-dimensional ternary materials, (2) vertical stacking of two-dimensional materials that can produce 2D heterostructures [12,13,14], known as van der Waals solids, and (3) controlling the thickness of two-dimensional materials through their number of layers. In the high-tech manufacture of electronic devices, the use of two-dimensional materials such as graphene, transition metal dichalcogenides, black phosphorus, hexagonal boron nitride (h-BN), silicene, germanene, stanene, arsenene, aluminene, antimonene, bismuthine, molybdenum disulfide (MoS2), molybdenum diselenide (MoSe2), MXenes, etc. [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15] These materials have attracted the attention of gas sensor designers due to their large surface-to-volume ratios and extremely sensitive surfaces [16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107]. Graphene has been investigated more exhaustively as the sensitive material for the development of chemical sensors by exploiting the sensing structure based on a field effect transistor, which has shown excellent gas sensing capacity [1,2,7,8,10,16,18,22,23,26,29,32,33,34,35,36,100,101,102,103,104,105,106,107]. However, the inherent disadvantage of graphene is its zero bandgap, which reduces its sensitivity and selectivity to a wide range of analytes. To optimize these capabilities of the gas sensors, vertically aligned two-dimensional structures [77,106], surface chemical functionalization [20,92], as well as two-dimensional heterostructures [12,13,14] and nanocomposites [26,27,72,107,108] have been developed. Unfortunately, these techniques do not favor long-term stability in the gas sensors, so by adding substitutional impurities [33,83] in the crystalline lattice of the two-dimensional material, the electrical conductivity of the sensitive material is modulated, and reliable and reproducible sensors can be implemented.
Recently, two-dimensional materials have been used for gas sensing because their structure in thin layers with atomic thickness offers large surface-to-volume ratios and large absorption capacity of gas molecules thanks to their intense surface activity [16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32]. Additionally, 2D materials have the potential to exist in more than one crystalline structure which increases the possibility that materials may present either a semiconducting phase (2H) (such as GaSe, In2Se3, MoS2, MoSe2, MoTe2, SnS2, WS2) or a semi-metallic phase (1T’) (such as TaS2) which makes the band gap can be tunable, they have a high sensitivity to a wide variety of chemicals, and their thickness modifies the physical and chemical properties of the material [18]. The enormous challenge of the use of two-dimensional materials is the efficient integration of these materials with three-dimensional systems, since this can limit the performance of electronic devices and their use in circuits or systems.
This article has been divided as follows: Section 2 presents an overview of the two-dimensional materials used for the design of gas sensors from a point-of-view associated with materials engineering. A special emphasis is given to the electrical properties, the crystalline structure and lattice parameters, as well as to establish an exhaustive list of gases that have been detected by two-dimensional sensing material. Further, the advantages of using 2D materials in gas sensing are analyzed. A study of the electronic band structure of two-dimensional materials for the design of gas sensors is carried out in Section 3, making use of the knowledge of the first Brillouin zone and the dispersion energy of these materials. The electronic band structure of graphene, hexagonal boron nitride and silicene are obtained through the tight-binding model, which demonstrates that the use of mathematical modeling and its simulation must be applied to all sensing materials to optimize the design of gas sensors. In Section 4, the importance of the study of band engineering is discussed as a strategy that must be matured for two-dimensional sensing materials. Finally, the conclusions of the article are given in Section 5.

2. Two-Dimensional Materials Used in Gas Sensors

2D materials are referred as materials with a single layer or a few layers of material. A layer can be defined as a material with single thickness covering a surface. They can be classified either as allotropes of unique chemical elements (graphene, silicene, germanene, etc.) or with various chemical or compound elements (h-BN, dichalcogenides, MXenes, etc.); the latter consisting of two or more covalently bonding elements. The layers are stacked together via van der Waals interactions and can be exfoliated into thin 2D layers. The combinations of layers of different two-dimensional materials are generally called van der Waals heterostructures. These materials have been applied mainly in photovoltaic devices, semiconductor devices, electrodes for supercapacitors, and in water purification. A more extensive description of the various applications of two-dimensional materials can be found in [6,8] in previous publications by the same author. Main applications of the two-dimensional materials in electronic industry are enumerated in Figure 1. A summary of the electrical properties, crystal structure and lattice parameters of the main two-dimensional materials used in electronic applications is presented in Table 1 for materials with a single chemical element, and in Table 2 for materials based on chemical compounds.

2.1. Two-Dimensional Materials for Gas Sensing

A gas sensor is a device which detects the presence and/or quantifies the concentration of one or various gases within a specific volume by means of chemical and/or physical interaction of the gas or gases with a sensing material for determining any change in a physical property before and after of this action [17]. The mechanism of gas sensing is basically based on the transfer of electric charge between the chemical species to be detected and the sensing material which acts as an absorber or donor, in this case the two-dimensional material. This charge transfer will cause changes in the electrical properties of the sensing material. For example, when the sensing material is of the n-type (electron donor), its electrical resistance increases in the presence of oxidizing gases or decreases when reducing gases are detected. The opposite is presented for p-type materials or electron acceptors. Commonly, the structure used in gas sensing devices is based on field effect transistors or FETs, in which the sensing material is placed between the source and drain electrodes supplied by a constant voltage. Gas detection is performed by monitoring changes in the value of the electric current between the gate and the source due to the exposure of a gas to be detected. The main performance parameters of a gas sensor are related to its response time, selectivity, sensitivity, stability and recovery time [17]. The great advantage of two-dimensional materials is that they can be easily doped with catalytic materials that can improve the absorption of gases and thereby improve the selectivity of the gas sensor. Main properties of the two-dimensional materials used in gas sensors are shown in Figure 2.
Although gas sensors were developed since the last century, the possibility of having gas sensors for excessively low concentration levels, with shorter response times, with higher sensitivity and better selectivity, good stability, high repeatability, as well as operating at room temperature; nowadays, these capabilities continue being a challenge to be solved in the technological world of today. Lately, researchers around the world are applying two-dimensional nanometric materials as an alternative to previous, present and future developments to overcome these challenges. A list of two-dimensional materials that have been used in gas sensing is summarized in Table 3.
A composite material is a material made from two or more constituent materials with significantly different physical or chemical properties that, when combined, produce a material with different characteristics from the individual components. Different composite materials based on two-dimensional materials have been used to design gas sensors [26,27,72,102,103,104,105,106,107]. Metals, polymers and ceramics have been added as a second phase to these two-dimensional materials. Layered combinations of different 2D materials are generally called van der Waals heterostructures or hybrid two-dimensional materials. Hybrid two-dimensional materials are advanced multifunctional materials that have outstanding physical and chemical properties and are extensively considered for applications such as energy storage, energy conversion, energy harvesting technologies, and sensors [101,108]. A list of composite and/or hybrid materials using two-dimensional materials [101,102,103,104,105,106,107] that have been used in gas sensing is summarized in Table 4.

2.2. Advantages of Two-Dimensional Materials for Gas Sensing

The two-dimensional materials used as gas sensing materials are particularly interesting because [16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32]: (1) their different active sites of interest such as defects, vacancies and edge sites, which allow for selective molecular absorption, (2) their surface-to-volume ratios, and (3) their high yield preparations. Chemical doping by means of noble metals (e.g., silver (Ag), gold (Au), palladium (Pd), platinum (Pt)) and/or metals with low working function (e.g., scandium (Sc), yttrium (Y)) can be used to tune the electronic properties of two-dimensional materials [109], see Figure 3.
Two-dimensional materials, other than graphene, have a bandgap that can be tunable by thickness, which makes them ideal channel materials for sensing using field effect transistors [24,29,75]. Capabilities of sensitive material such as high carrier mobility and high on/off ratio are also important for the implementation of gas sensors. The number of layers of the two-dimensional material is directly associated with the stability and it is inversely proportional to the response time. The main gas sensing mechanism is the charge transfer reaction between the gaseous species and the two-dimensional material.
Other advantages that two-dimensional materials offer in gas sensing are higher thermal stability and wider operation temperature range [18]. 2D nanostructures can provide some additional advantages including more active sites, facile surface functionalization, good compatibility with device integration, possibility to be assembled into 3D architectures, etc. which are critically important for developing high performance gas sensors [25]. Further, hybrid structures based on two-dimensional materials can be designed to optimize the selectivity and sensitivity of the gas sensors.
Gas sensors based on heterostructures overcome the inherent disadvantages of gas sensors based on simple materials such as poor selectivity and insensitivity to the low concentration of the gas to be detected [110]. Moreover, 2D materials can be easily fabricated as chemiresistive field effect transistors (FETs) that consume less power and offer good safety [21]. Thanks to these last capabilities, the two-dimensional materials are distinguished from conventional metal oxides in that they offer an excessively sensitive platform and ideal for portable applications due to the reduced power consumption.

3. Electronic Band Structure for Two-Dimensional Materials

The electrical properties of a solid are determined basically through its electronic band structure, which establishes the range of energy states that electrons may or may not have within their crystalline structure. The allowed electronic states are represented by the valence band (states within the atom) and the conduction band (stable states with freedom of movement). Between the valence band and the conducting band, there is a set of electronic states that are not allowed or prohibited for electrons, since these are intermediate and unstable. The electronic band theory predicts these bands by solving the Schrödinger equation for a periodic crystal structure making use of the quantum mechanical wave functions or Bloch functions of the electrons. Particularly, solid state devices based on semiconductor materials such as field effect transistors [24,29,75], solar cells, gas sensors, [16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32] etc., owe their electronic behavior to the exploitation of these electronic bands. A summary describing the design process of a gas sensor through the electrical properties of the sensing material is illustrated in Figure 4.
The solution of the Schrödinger equation, in addition to describing the changes in the time of the behavior of electrons, also relates the state vector of its quantum system (ψ), its position vector (r), and the periodicity function of the crystal (u). This can be mathematically expressed as [111,112]:
ψ n k ( r )   =   e i k · r u n k ( r )
where k is called the wavevector and n represents a band index. Therefore, its multiple solutions En(k) represent the n energy bands evaluated for each wavevector k that establish the energy dispersion relationships of the electrons in the crystal lattice.
According to the crystalline structure of a material, the wavevector k takes values within what is called the Brillouin zone, which establishes the states within the electronic band structure. The Brillouin zone has a symmetry that can be identified by the points and lines that relate the different crystallographic directions in the material, which are denoted as Γ or [000], Δ or [100], Λ or [111], and Σ or [110]. Theoretically, obtaining a graph of the behavior of the energy E against the components of the wavevector k: kx, ky, kz, implies a four-dimensional space that connects the points of symmetry. But in a practical way, two-dimensional graphs of the structure of bands that are isosurfaces of constant energy in the wavevector space are feasible for all states with an energy value.
The energy bands of electronic materials can be classified according to the types of wavevectors in two different types: (1) direct bandgap: where the space of prohibited energy is defined between the lowest-energy state of the band conduction and the highest-energy state of the valence band when both have the same wavevector, and (2) indirect bandgap: where the space of prohibited energy is defined between the lowest-energy state of the conduction band and the highest-energy state of the valence band when both states have different wavevectors.
The periodic crystalline structures can be defined by a Bravais lattice formed by a set of vectors R = n1a1 + n2a2 + n3a3 where ni are any integers and ai are primitive vectors forming the lattice. Moreover, for each Bravais lattice a reciprocal lattice can be identified by means of the reciprocal vectors k = m1b1 + m2b2 + m3b3 where mi are any integers and bi are reciprocal vectors forming the reciprocal lattice [111,112,113]. In this way, mathematical expressions relating the Bravais lattice and the reciprocal lattice are given below [111,113]:
b 1   =   2 π a 2 × a 3 a 1 · ( a 2 × a 3 ) b 2   =   2 π a 3 × a 1 a 2 · ( a 3 × a 1 ) b 3   =   2 π a 1 × a 2 a 3 · ( a 1 × a 2 ) .
The physical dimensions of the unit cells forming a crystalline lattice can be defined by three lattice constants or parameters (a, b, c) and three interaxial angles (α, β, and γ), as shown in Figure 5.
There are seven different crystalline systems. They differ by having different relations between unit cell axes and angles. The relations between the length of the unit cell axes and the angles between them are given in Table 5. The symmetry and stability of the crystalline lattices may be increasing from triclinic, via monoclinic, orthorhombic, hexagonal, tetragonal or rhombohedral to the cubic system [111,112,113].

3.1. First Brillouin Zone of Two-Dimensional Materials

In the reciprocal space, the first Brillouin zone is the only primitive cell that can be defined. However, different areas of Brillouin can be represented to completely model the reciprocal lattice of a crystalline material. The first Brillouin zone represents crystallographically the values of Bloch waves directly associated with the electronic states in the crystal lattice.
In the first Brillouin zone as well as in the Bravais lattice, different points of symmetry can be identified, which are called critical points, which define the unique vector space of each crystal structure. The critical points for the crystalline lattices found in the two-dimensional materials with hexagonal lattice are summarized in Table 6.
A point group can be defined as a group of geometric symmetries (isometries) that keep at least one point fixed. The three-dimensional point groups are commonly used in chemistry to describe the crystalline symmetries expressed by means of rotation axes. Rotation axes are denoted by Hermann-Mauguin notation that uses a number n: 1, 2, 3, 4, 5, 6, 7, 8 … (angle of rotation φ = 360°/n). Rotoinversion axes are defined using a number n with a macron, n ¯ : 1 ¯ , 2 ¯ , 3 ¯ , 4 ¯ , 5 ¯ , 6 ¯ , 7 ¯ , 8 ¯ …. 2 ¯   which is equivalent to a mirror plane, and generally expressed as m. In addition, there is a crystallographic restriction theorem which states that rotational symmetries are normally restricted to 2-fold, 3-fold, 4-fold, and 6-fold.
The first Brillouin zone of the crystalline lattices found in 2D materials [114] is shown in Table 7.

3.1.1. First Brillouin Zone for materials with Hexagonal Crystalline Lattices

Graphene is a two-dimensional material consisting of carbon atoms in a hexagonal lattice [1,2,7,8,10,16,18,22,23,26,29,32,33,34,35,36,90,101,102,103,106]. Other two-dimensional materials with hexagonal crystalline lattice are germanene [37,38,39,40,41,42,43], silicene [1,2,22,29,45,46,47], stanene [2,48,49,50,51,104], aluminene [64], bismuthene, antimonene [29,65,66,67,68], hexagonal boron nitride (h-BN) [83,84,85], gallium sulfide (GaS), gallium selenide (GaSe), hafnium disulfide (HfS2) [82], hafnium diselenide (HfSe2) [82], indium selenide (In2Se3), molybdenum disulfide (MoS2) [32,75,76,77,78,79,101], molybdenum ditelluride (MoTe2) [82], molybdenum diselenide (MoSe2) [80,81], molybdenum sulfide selenide (MoSSe), molybdenum tungsten diselenide (MoWSe2), antimony telluride (Sb2Te3), tin disulfide (SnS2) [94,95], tin selenide (SnSe2) [96], tantalum disulfide (TaS2), tungsten disulfide (WS2) [32,71,72,73], tungsten selenide (WSe2) [74], and zirconium diselenide (ZrSe2). The first Brillouin zone of a hexagonal lattice is summarized in Table 8.
In addition, Γ A ¯   =   π c , Γ K ¯   =   4 π 3 a , Γ M ¯   =   2 π 3 a , and M K ¯   =   2 π 3 a .

3.1.2. First Brillouin Zone for Materials with Orthorhombic Crystalline Lattices

Two-dimensional materials with orthorhombic crystalline lattice are borophene (striped), black phosphorus (BP), germanium sulfide (GeS), and dibismuth trisulphide (Bi2S3). The first Brillouin zone of an orthorhombic lattice is summarized in Table 9.
In addition, Γ Y ¯   =   π a , Γ Z ¯   =   Y T ¯   =   S R ¯   =   π c , and Γ T ¯   =   π a c a 2   +   c 2 .

3.1.3. First Brillouin Zone for Materials with Triclinic Crystalline Lattices

Two-dimensional materials with triclinic crystalline lattices are rhenium disulphide (ReS2) and rhenium diselenide (ReSe2). The first Brillouin zone of a triclinic lattice is summarized in Table 10, and whose values only can be determined knowing all values of the lattice parameters and interaxial angles.

3.1.4. First Brillouin Zone for Materials with Monoclinic Crystalline Lattices

Two-dimensional materials with monoclinic crystalline lattices are diarsenic tritelluride (As2Te3) and zirconium triselenide (ZrSe3). The first Brillouin zone of a P monoclinic lattice is summarized in Table 11.
In addition, Γ Y ¯   =   Z D ¯   =   2 π b sin γ , X A ¯   =   2 π c , and Γ X ¯   =   A Z ¯   =   2 π a 1   +   tan 2 γ .

3.2. Tight-Binding Model for Two-Dimensional Materials

To predict the electronic energy bands, the tight binding model can be used. This model assumes that the electrons in the crystal behave as an assembly of constituent atoms. Further, under the use of this model, the solution to the time-independent single electron Schrödinger equation can be approximated by a linear combination of atomic orbitals. This model works well on material with limited overlap between atomic and potential orbitals on neighboring atoms.

3.2.1. Band Structure of Graphene

Graphene is an allotrope of carbon made from a simple layer of atoms with a hexagonal crystal structure. It is a semimetal with small overlap between the valence and the conduction bands (zero bandgap material). The tight-binding model (or TB model) is a mathematical model used to determine the electronic band structure by means of a set of wave functions of isolated atoms located at atomic sites of the crystal structure. Tight-binding models are applied to a wide variety of solids. Tight binding dispersion relation for graphene is given as (http://lampx.tugraz.at/~hadley/ss1/bands/tbtable/tbtable.html) [115,116]:
E   =   ε ± t 1   +   4 cos ( 3 k x a 2 ) cos ( k y a 2 )   +   4 cos 2 ( k y a 2 )
where E is the energy of the system depending on the k-vectors, ε is the ionization energy of the atom of the unit cell (here carbon), t is the overlap integral, a is the lattice constant, and kx and ky are the k-vectors in x or y direction. Tight binding dispersion relation for graphene is shown in Figure 4. For ε = 0 eV, t = 2.8 eV and a = 1.421 Å, E was estimated as illustrated in Figure 6. Bandgaps open at the M-points between the first and the second bands. From here on, the level of the valence band is shown in blue and the level of the conduction band in green. No bandgaps open at the k-points and the k’-points as shown in Figure 7.

3.2.2. Band Structure of Hexagonal Boron Nitride (h-BN)

Hexagonal boron nitride (h-BN) has a layered structure like graphene. Within each layer, boron and nitrogen atoms are bound by strong covalent bonds, with boron atoms being up and down the nitrogen atoms. Tight binding dispersion relation for two-dimensional boron nitride is given as (http://lampx.tugraz.at/~hadley/ss1/bands/tbtable/tbtable.html) [117]:
E   =   ε 1   +   ε 2 2 ± ( ε 1 ε 2 ) 2 2   +   4 t 2 ( c o s ( 3 k x a 2 ) c o s ( k y a 2 )   +   4 c o s 2 ( k y a 2 )   +   1 4 )
where E is the energy of the system depending on the k-vectors, ε1 and ε2 are the ionization energies of the two kinds of atoms of the unit cell (here boron and nitrogen), t is the overlap integral, a is the lattice constant, and kx and ky are the k-vectors in x or y direction. Tight binding dispersion relation for hexagonal boron nitride is shown in Figure 8. For h-BN, where ε1 = 2 eV, ε2 = 1 eV, t = 2 eV and a = 1.47 Å, E was estimated as illustrated in Figure 9.

3.2.3. Band Structure of Silicene

Silicene is the two-dimensional allotrope of silicon with a hexagonal crystalline structure like that of graphene [1,2,22,29,45,46,47]. Tight binding dispersion relation for two-dimensional silicene is given as [118]:
E ( k )   =   a 10 55 ± [ a 61 55 | k |   +   a 11 55 | k | 2   +   a 62 55 k x ( 3 k y 2 k x 2 ) / | k | ]
where | k |   =   k x 2   +   k y 2 , kx and ky are the k-vectors in x or y direction, a 10 55 , a 61 55 , a 11 55 , and a 62 55 are coefficients obtained by the tight binding approximation of the band structure of silicene. Tight binding energy dispersion relation for silicene is shown in Figure 10, for ky = kx/ 3 and Δ z Δ Si   =   0.59 . For silicene in three-dimensional way, E was estimated as illustrated in Figure 11.

4. Why Study Electrical Properties of the 2D Materials for Gas Sensors?

The band gap of any material determines the energy required by an electron to jump from the top level of the valence band (where it is not mobile enough to conduct freely) to just reach the ground level of conduction band (where, as its name suggests, the electron is able to conduct freely). Its electrical properties (or maybe a singular property) must be different in the presence of gas compared to what they were in the absence of gas. Thus, the band gap and those technical variables that modify its value are directly associated with the electrical conductivity of the sensing material.
The nanometric gas sensors based on conductance and fabricated with two-dimensional materials are attractive thanks to their higher sensitivity/selectivity and relatively low cost [18]. Semiconducting 2D materials exhibit better sensitivity than insulating/metallic 2D materials. The study of the dispersion energy of the first Brillouin zone allows to tune the band gap of two-dimensional material in the search for semiconducting materials with the maximum performance in the gas sensing. Through the mathematical models of dispersion energy, it is possible to study the effect of the thickness and the inclusion of dopants on the band gap of the two-dimensional material [33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83].
Band-gap engineering is the area of engineering that studies the process of controlling or altering the band gap of a material [3]. This is typically done to semiconductor materials by controlling their composition or constructing layered materials with alternating compositions. Controlling the band gap of a semiconductor material allows the creation of desirable electrical properties. By varying the composition of the two-dimensional material, it is possible to alter the band gap of the resulting material, because the bonding of the atoms of the original sensing material with atoms of different nature of the doping material produces forbidden bands with different values for sensing oxidizing gases or reducing gases.
The exposure of the sensing material to different gases, different concentrations, and different conditions leads to a different sensor response, since the electrical conductivity presented by the gas sensor is unique. The use of mathematical models to predict the electronic band structure allows to study the electrical conductivity that will be presented by a gas sensor, where parameters such as material size, chemical compositions, doping, etc. will be incorporated, reduces the design time of the sensor. In Figure 12, a sketch of the methodology proposed in this paper to design gas sensors based on two-dimensional materials is shown.
In addition, the band gap of semiconducting materials can be modified by inducing strain because quantum confinement is modified [50]. A range of upper tunable bandgaps is possible because two-dimensional materials have higher yield strength. Bending by strain can induce an increase in electrical conductance [79]. The strain can also induce a change in the transport properties and a variation in the band gap. The strain can be converted into a work function that modifies the band gap of the two-dimensional material. The work function can be added directly to the energy dispersion model as a summative term. The narrower the ribbon of the two-dimensional material, the greater the opening of the forbidden gap of the material since it is considered a quasi-one-dimensional system in which a semiconducting behavior occurs.
The operating temperature plays a very important role since it defines the temperature at which the maximum sensitivity of the sensor is reached and determines the detection limit of the gas sensor [17]. In portable applications, the reduction of operating temperature of the gas sensors has a direct effect on the reduction of the energy required to bring the sensing material to the operating temperature. The improvement of the adsorption of gases on the two-dimensional sensing material lies in the vacancies of high-energy defects found on the surface of the material [95]. Additionally, the adsorption energies are relatively low, which allows them to trap gas molecules more easily [119]. Another important factor for two-dimensional materials can sense gases at low temperatures are that the mobility of electrons in them is excessively high in this temperature range, which makes them very sensitive.

4.1. Correlation between Band Gap and/or Electronic Band Structure and Electrical Conductivity

The two-dimensional materials have attracted the attention of various groups of scientists around the world to be used in gas sensing, due to the ratio of surface area to large volume, good thermal and chemical stability, and sensitivity of electrical properties to changes in the environment that surrounds them [18]. In the case of graphene, its derivatives such as graphene oxide (GO) and reduced graphene oxide (rGO) have been used mainly because they have a non-zero band gap. The enormous advantage of two-dimensional materials is that they allow the development of highly selective and excessively sensitive sensors by adjusting their surface chemistry without modifying their optical and electrical properties. Thanks to the fact that these materials have a high electrical conductivity and low Johnson electrical noise, the modification of the concentration of carriers induced by their exposure to gases produces significant changes in electrical conductivity or resistivity.
The presence of Stone-Wales defects or dopants in two-dimensional materials increases the adsorption of gases due to the change in the band gap of them. This change is because they reduce the amplitude of the bandgap and thereby increase the electrical conductivity of the sensing material [33,120]. The electrical conductivity of two-dimensional materials, either occurring naturally due to a semiconductor behavior or induced by modifications such as doping, defects or chemical functionalization, is directly related to the band gap space. In doped semiconductors, the dopants increase the charge carrier’s concentration by adding electrons to the conduction band or at increasing the quantity of holes in the valence band. Therefore, the addition of dopants, defects or chemical functionalization modifies the electronic band structure of the sensing material, either increasing or decreasing the size of the band gap. The smaller the band gap space, the greater the electrical conductivity of the sensing materials. The band gap of two-dimensional materials is illustrated in Figure 13 [121].
Other two-dimensional materials of group IV such as germanene, silicene and stanene have a higher chemical reactivity than graphene to be used as gas sensors due to their buckling structure [49]. This structure causes the stanene to show linear band dispersion at the Fermi energy which allows it to tune its band gap by means of spin-orbit coupling (SOC). In addition, the stanene behaves as a spin-quantum Hall insulator that when functionalized can increase its band gap, thereby presents an electrical dissipationless conductivity at room temperature, making it a highly sensitive material for gas sensing applications. These properties induce p-, n- and co-doping to improve the interaction between stanene and gas molecules [122]. Even, the co-doping changes the electronic properties at the Fermi level, which is highly desired in two-dimensional materials that have semi-metallic behavior.
In the case of two-dimensional materials based on transition metal dichalcogenides (TMD), such as MoS2, MoSe2, MoTe2, WS2, WSe2, etc., they are potential options to be used as sensing materials thanks to the fact that they present semiconducting phase (2H) and semi-metallic phase (1T’), which allow producing materials with tunable bandgaps, according to the needs of the gas sensor [4,6,7,15,20,32]. Additionally, its physical and chemical properties are dependent on the thickness or number of layers of two-dimensional material used in the design [123,124]. By reducing the thickness of the two-dimensional material, it is even possible to modify the size of the forbidden band or even modify the type of forbidden band from indirect to direct or vice versa according to the type of two-dimensional material used as sensing material. In very thin two-dimensional materials there are no quantum confinement effects and the electronic structure is dominated by surface states near the Fermi level.

4.2. Correlation between Gas Sensing Characteristics and Electronic Band Structure

Since the selectivity of a gas sensor is related to its ability to respond to a gas in the presence of others, then the design of a gas sensor implies that the gas to be detected must be adsorbed by the sensing material, exclusively, and this is achieved, if the necessary catalysts are added to this material [32]. The catalytic materials must be based on metallic nanoparticles. These materials modify the band gap and, in this way, only those gases with ionization energy like the band can be adsorbed.
The adsorption energy (Ea) of the gases is calculated using the following mathematical expression [49]:
E a   =   E s e n s i n g   m a t e r i a l   +   g a s ( E s e n s i n g   m a t e r i a l   +   E g a s )
where E s e n s i n g   m a t e r i a l   +   g a s implies the total energy of the system formed by the sensing material and the sensed gas. On the other hand, E s e n s i n g   m a t e r i a l and E g a s represent the punctual energy of the two-dimensional material based system and gas molecules, respectively.
Since the sensitivity of a gas sensor expresses the change in the output signal per unit gas concentration, it is necessary to design a material capable of detecting levels up to below parts per billion of gas present in the sensing material [17]. Two-dimensional materials have a high sensitivity due to their high surface-to-volume ratio and their semiconductor properties. Both the dimensions of the sensing material and the semiconductor properties of the material can be tuned; in this way, the sensitivity of a gas sensor based on two-dimensional materials can be designed. The band gap of the sensing material plays a major role in adjusting the sensitivity of the gas sensor. Besides, the doped two-dimensional materials show higher selectivity and sensitivity toward gas molecules compared to pure two-dimensional materials [49]. The sensitivity and selectivity of a semiconductor two-dimensional material based gas sensor depend on any change in its electronic properties.
Another of the important performance parameters of gas sensors is reversibility, which implies that the sensor must be capable of being used during a cyclic operation without qualitatively or quantitatively modifying its response to the target gas [17]. This is committed to selectivity, since when the latter is high; the reversibility is low due to the high bond energies involved [93]. Therefore, complete reversibility is achieved when weak interactions between the gas and the sensing material are present [125]. Then, a two-dimensional material with a bandgap without catalysts may have better reversibility. This can be appreciated when there are no intermediate bands or levels between the valence band and the conduction band.
Gas sensors require a response time to react to the presence of the target gas whose concentration changes from zero to a certain concentration value [17]. This response time is directly related to the type of band gap that the two-dimensional material has, since being a direct band gap would be expected to have a shorter response time than a material with an indirect band gap. Although the path between the valence band and the conduction band that the electron should travel energetically was straight, the magnitude of the band gap should be short to reduce the response time. A small response time is directly associated with a high sensitivity of the gas sensor, which is linked to a reduced band gap [122].
In any physicochemical process such as gas sensing, stability represents the ability of the sensor to keep reproducible its performance, in a specific period of time, before various physicochemical variables [17]. Since gas sensors are susceptible to being modified by various variables such as temperature, then the bandgap of the two-dimensional material must remain stable before any event presented. Some gas molecules in contact with the sensing material tend to dissociate and chemically absorb into it. Other gases tend to be physically absorbed stably on the sensing material, which leads to different interaction strengths. These latter molecules induce different modifications in the forbidden band of the material, which can be observed in the energy band diagram [52].
Key performance scores for gas sensors based on two-dimensional materials are illustrated in Figure 14. A more exhaustive study on optimizing the performance parameters of a gas sensor such as sensitivity, selectivity, stability, response time and operating temperature is found in [17].

5. Conclusions

Despite the great advances in the application of two-dimensional materials in gas sensing, the study of the fundamental properties of these materials as well as the development of mathematical models to predict the electronic band structure is still in its infancy. There is a wide variety of 2D materials that can be used to sense both oxidizing gases and reducing gases. This article studies the electronic band structure of 2D materials to optimize gas sensing through their first Brillouin zone and dispersion energy. It was shown that most two-dimensional materials used in gas sensors have a hexagonal crystalline structure, and that the tight-binding model can optimize the electronic band structure through mathematical modeling and its simulation. It is considered important to resume the study of two-dimensional materials using the perspective of materials engineering, and to implement a wide variety of gas sensors using the different topologies of materials that have been proposed until now and propose new design options.

Funding

This research did not receive internal or external funds.

Acknowledgments

The author acknowledges the support provided by CONRICYT of the National Council of Science and Technology (CONACYT) from Mexico for the access to scientific articles, as well as the support of the Thematic Network of Nanotechnology and Nanoscience of CONACYT, Mexico. The author also wishes to thank to your family for their support in carrying out this research.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Pan, Y.; Zhang, L.; Huang, L.; Li, L.; Meng, L.; Gao, M.; Huan, Q.; Lin, X.; Wang, Y.; Du, S.; et al. Construction of 2D Atomic Crystals on Transition Metal Surfaces: Graphene, Silicene, and Hafnene. Small 2014, 10, 2215–2225. [Google Scholar] [CrossRef] [PubMed]
  2. Balendhran, S.; Walia, S.; Nili, H.; Sriram, S.; Bhaskaran, M. Elemental Analogues of Graphene: Silicene, Germanene, Stanene, and Phosphorene. Small 2015, 11, 640–652. [Google Scholar] [CrossRef] [PubMed]
  3. Zeng, Q.; Wang, H.; Fu, W.; Gong, Y.; Zhou, W.; Ajayan, P.M.; Lou, J.; Liu, Z. Band Engineering for Novel Two-Dimensional Atomic Layers. Small 2015, 11, 1868–1884. [Google Scholar] [CrossRef] [PubMed]
  4. Duan, X.; Wang, C.; Pan, A.; Yu, R.; Duan, X. Two-Dimensional Transition Metal Dichalcogenides as Atomically Thin Semiconductors: Opportunities and Challenges. Chem. Soc. Rev. 2015, 44, 8859–8876. [Google Scholar] [CrossRef] [PubMed]
  5. Naguib, M.; Gogotsi, Y. Synthesis of Two-Dimensional Materials by Selective Extraction. Acc. Chem. Res. 2015, 48, 128–135. [Google Scholar] [CrossRef]
  6. Vargas-Bernal, R. The Next Generation of Nanomaterials for Designing Analog Integrated Circuits. In Analog Circuits: Fundamentals, Synthesis and Performance; Tlelo-Cuautle, E., Fakhfakh, M., de la Fraga, L.G., Eds.; Nova Science Publishers: New York, NY, USA, 2016; pp. 3–21. ISBN 978-1-53610-969-6. [Google Scholar]
  7. Dai, J.; Li, M.; Zeng, X.C. Group IVB Transition Metal Trichalcogenides: A New Class of 2D Layered Materials beyond Graphene. WIREs Comput. Mol. Sci. 2016, 6, 211–222. [Google Scholar] [CrossRef]
  8. Vargas-Bernal, R. Graphene against Other Two-Dimensional Materials: A Comparative Study on the Basis of Electronic Applications. In Two-Dimensional Materials: Synthesis, Characterization and Potential Applications; Nayak, P.K., Ed.; Intech: Rijeka, Croatia, 2016; pp. 103–121. ISBN 978-953-51-2555-6. [Google Scholar]
  9. Wasala, M.; Sirikumara, H.I.; Sapkota, Y.R.; Hofer, S.; Mazumdar, D.; Jakasekera, T.; Talapatra, S. Recent Advances in Investigations of the Electronic and Optoelectronic Properties of Group III, IV, and V Selenide based Binary Layered Compounds. J. Mater. Chem. C 2017, 5, 11214–11225. [Google Scholar] [CrossRef]
  10. Kong, X.; Liu, Q.; Zhang, C.; Peng, Z.; Chen, Q. Elemental Two-Dimensional Nanosheets Beyond Graphene. Chem. Soc. Rev. 2017, 46, 2127–2157. [Google Scholar] [CrossRef]
  11. Zhang, S.; Guo, S.; Chen, Z.; Wang, Y.; Gao, H.; Gómez-Herrero, J.; Ares, P.; Zamora, F.; Zhu, Z.; Zeng, H. Recent Progress in 2D Group-VA Semiconductors: From Theory to Experiment. Chem. Soc. Rev. 2018, 47, 982–1021. [Google Scholar] [CrossRef]
  12. Chen, P.; Zhang, Z.; Duan, X.; Duan, X. Chemical Synthesis of Two-Dimensional Atomic Crystals, Heterostructures and Superlattices. Chem. Soc. Rev. 2018, 47, 3129–3151. [Google Scholar] [CrossRef]
  13. Shi, E.; Gao, Y.; Finkenauer, B.P.; Akriti; Coffrey, A.H.; Dou, L. Two-Dimensional Halide Perovskite Nanomaterials and Heterostructures. Chem. Soc. Rev. 2018, 47, 6046–6072. [Google Scholar] [CrossRef]
  14. Cai, Z.; Liu, B.; Zou, X.; Cheng, H.M. Chemical Vapor Deposition Growth and Applications of Two-Dimensional Materials and Their Heterostructures. Chem. Rev. 2018, 118, 6091–6133. [Google Scholar] [CrossRef]
  15. Yu, J.; Hu, X. Large-Scale Synthesis of 2D Metal Dichalcogenides. J. Mater. Chem. C 2018, 6, 4627–4640. [Google Scholar] [CrossRef]
  16. Basu, S.; Bhattacharyya, P. Recent Developments on Graphene and Graphene Oxide based Solid State Gas Sensors. Sens. Actuators B Chem. 2012, 173, 1–21. [Google Scholar] [CrossRef]
  17. Vargas-Bernal, R.; Herrera-Pérez, G. Importance of the Nanostructured Ceramic Materials on Gas Sensing. In Nanotechnology for Optics and Sensors; Aliofkhazraei, M., Ed.; One Central Press: Cheshire, UK, 2014; pp. 1–34. ISBN 978-1-910086-09-4. [Google Scholar]
  18. Varghese, S.S.; Varghese, S.H.; Swaminathan, S.; Singh, K.K.; Mittal, V. Two-Dimensional Materials for Sensing: Graphene and Beyond. Electronics 2015, 4, 651–687. [Google Scholar] [CrossRef] [Green Version]
  19. Schmidt, H.; Giustiniano, F.; Eda, G. Electronic Transport Properties of Transition Metal Dichalcogenide Field-Effect Devices: Surface and Interface Effects. Chem. Soc. Rev. 2015, 44, 7715–7736. [Google Scholar] [CrossRef]
  20. Sarkar, D.; Xie, X.; Kang, J.; Zhang, H.; Liu, W.; Navarrete, J.; Moskovits, M.; Banerjee, K. Functionalization of Transition Metal Dichalcogenides with Metallic Nanoparticles: Implications for Doping and Gas-Sensing. Nano Lett. 2015, 15, 2852–2862. [Google Scholar] [CrossRef]
  21. Yang, W.; Li, H.; Zhai, T. Two-Dimensional Layered Nanomaterials for Gas-Sensing Applications. Inorg. Chem. Front. 2016, 3, 433–451. [Google Scholar] [CrossRef]
  22. Akbari, E.; Buntat, Z.; Afroozeh, A.; Pourmand, S.E.; Farhang, Y.; Sanati, P. Silicene and Graphene Nano Materials in Gas Sensing Mechanism. RSC Adv. 2016, 6, 81647–81653. [Google Scholar] [CrossRef]
  23. Vargas-Bernal, R. Modeling, Design and Applications of the Gas Sensors based on Graphene and Carbon Nanotubes. In Handbook of Research on Nanoelectronic Sensor Modeling and Applications; Ahmadi, M.T., Ismail, R., Anwar, S., Eds.; IGI Global: Hershey, PA, USA, 2016; pp. 187–213. ISBN 978-1-5225-0736-9. [Google Scholar] [CrossRef]
  24. Mao, S.; Chang, J.; Pu, H.; Lu, G.; He, Q.; Zhang, H.; Chen, J. Two-Dimensional Nanomaterial-based Field-Effect Transistors for Chemical and Biological Sensing. Chem. Soc. Rev. 2017, 46, 6872–6904. [Google Scholar] [CrossRef]
  25. Liu, X.; Ma, T.; Pinna, N.; Zhang, J. Two-Dimensional Nanostructured Materials for Gas Sensing. Adv. Funct. Mater. 2017, 27, 1702168. [Google Scholar] [CrossRef]
  26. Tung, T.T.; Nine, M.J.; Krebsz, M.; Pasinszki, T.; Coghlan, C.J.; Tran, D.N.H.; Losic, D. Recent Advances in Sensing Applications of Graphene Assemblies and Their Composites. Adv. Funct. Mater. 2017, 27, 1702891. [Google Scholar] [CrossRef]
  27. Ping, J.; Fan, Z.; Sindoro, M.; Ying, Y.; Zhang, H. Recent Advances in Sensing Applications of Two-Dimensional Transition Metal Dichalcogenides Nanosheets and Their Composites. Adv. Funct. Mater. 2017, 27, 1605817. [Google Scholar] [CrossRef]
  28. Tang, X.; Du, A.; Kou, L. Gas Sensing and Capturing based on Two-Dimensional Layered Materials: Overview from Theoretical Perspective. WIREs Comput. Mol. Sci. 2018, 8, e1631. [Google Scholar] [CrossRef]
  29. Gablech, I.; Pekárek, J.; Klempa, J.; Svatoš, V.; Sejedi-Moghaddam, A.; Neužil, P.; Pumera, M. Monoelemental 2D Materials-based Field Effect Transistors for Sensing and Biosensing: Phosphorene, Antimonene, Arsenene, Silicene, and Germanene go beyond Graphene. Trends Analyt. Chem. 2018, 105, 251–262. [Google Scholar] [CrossRef]
  30. Anichi, C.; Czepa, W.; Pakulski, D.; Aliprandi, A.; Ciesielski, A.; Samori, P. Chemical Sensing with 2D Materials. Chem. Soc. Rev. 2018, 47, 4860–4908. [Google Scholar] [CrossRef] [PubMed]
  31. Choi, S.J.; Kim, I.D. Recent Developments in 2D Nanomaterials for Chemiresistive-Type Gas Sensors. Electron. Mater. Lett. 2018, 14, 221–260. [Google Scholar] [CrossRef]
  32. Donarelli, M.; Ottaviano, L. 2D Materials for Gas Sensing Applications: A Review on Graphene Oxide, MoS2, WS2 and Phosphorene. Sensors 2018, 18, 3638. [Google Scholar] [CrossRef] [PubMed]
  33. 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]
  34. Karaduman, I.; Er, E.; Çelikkan, H.; Acar, S. A New Generation Gas Sensing Material based on High-Quality Graphene. Sens. Actuators B Chem. 2015, 221, 1188–1194. [Google Scholar] [CrossRef]
  35. Singh, E.; Meyyappan, M.; Nalwa, H.S. Flexible Graphene-based Wearable Gas and Chemical Sensors. ACS Appl. Mater. Interfaces 2017, 9, 34544–34586. [Google Scholar] [CrossRef] [PubMed]
  36. Chen, Z.; Wang, J.; Umar, A.; Wang, Y.; Li, H.; Zhou, G. Three-Dimensional Crumpled Graphene-based Nanosheets with Ultrahigh NO2 Gas Sensibility. ACS Appl. Mater. Interfaces 2017, 9, 11819–11827. [Google Scholar] [CrossRef] [PubMed]
  37. Gupta, S.K.; Singh, D.; Rajput, K.; Sonvane, Y. Germanene: A New Electronic Gas Sensing Material. RSC Adv. 2016, 6, 102264–102271. [Google Scholar] [CrossRef]
  38. Xia, W.; Hu, W.; Li, Z.; Yang, J. A First-Principles Study of Gas Adsorption on Germanene. Phys. Chem. Chem. Phys. 2014, 16, 22495–22498. [Google Scholar] [CrossRef] [PubMed]
  39. Bayani, A.H.; Dideban, D.; Moezi, N. Hydrogen Sensitive Field-Effect Transistor based on Germanene Nanoribbon and Optical Properties of Hydrogenated Germanene. J. Comput. Electron. 2016, 15, 381–388. [Google Scholar] [CrossRef]
  40. Monshi, M.M.; Aghaei, S.M.; Clizo, I. Doping and Defect-induced Germanene: A Superior Media for Sensing H2S, SO2, and CO2 Gas Molecules. Surf. Sci. 2017, 665, 96–102. [Google Scholar] [CrossRef]
  41. Nagarajan, V.; Chandiramouli, R. NO2 Adsorption Behaviour on Germanene Nanosheet—A First-Principles Investigation. Superlattices Microstruct. 2017, 101, 160–171. [Google Scholar] [CrossRef]
  42. Nagarajan, V.; Chandiramouli, R. CO and NO Monitoring using Pristine Germanene Nanosheets: DFT Study. J. Mol. Liq. 2017, 234, 355–363. [Google Scholar] [CrossRef]
  43. Pang, Q.; Li, L.; Gao, D.L.; Chai, R.P.; Zhang, C.L.; Song, Y.L. Tuning the Electronic and Magnetic Properties of Germanene by Surface Adsorption of Small Nitrogen-based Molecules. Phys. E Low Dimens. Syst. Nanostruct. 2017, 88, 237–242. [Google Scholar] [CrossRef]
  44. Nagarajan, V.; Bhattacharyya, A.; Chandiramouli, R. Adsorption of Ammonia Molecules and Humidity on Germanane Nanosheet—A Density Functional Study. J. Mol. Graph. Model. 2018, 79, 149–156. [Google Scholar] [CrossRef]
  45. Prasongkit, J.; Amorim, R.G.; Chakraborty, S.; Ahuja, R.; Scheicher, R.H.; Amornkitbamrung, V. Highly Sensitive and Selective Gas Detection based on Silicene. J. Phys. Chem. C 2015, 119, 16934–16940. [Google Scholar] [CrossRef]
  46. Chandiramouli, R.; Srivastava, A.; Nagarajan, V. NO Adsorption Studies on Silicene Nanosheet: DFT Investigation. Appl. Surf. Sci. 2015, 351, 662–672. [Google Scholar] [CrossRef]
  47. Walia, G.K.; Randhawa, D.K.K. Adsorption and Dissociation of Sulfur-based Toxic Gas Molecules on Silicene Nanoribbons: A Quest for High-Performance Gas Sensors and Catalysts. J. Mol. Model. 2018, 24, 94. [Google Scholar] [CrossRef]
  48. Chen, X.; Tan, C.; Yang, Q.; Meng, R.; Liang, Q.; Cai, M.; Zhang, S.; Jiang, J. Ab Initio Study of the Adsorption of Small Molecules on Stanene. J. Phys. Chem. C 2016, 120, 13987–13994. [Google Scholar] [CrossRef]
  49. Garg, P.; Choudhuri, I.; Pathak, B. Stanene based Gas Sensors: Effect of Spin-Orbit Coupling. Phys. Chem. Chem. Phys. 2017, 19, 31325–31334. [Google Scholar] [CrossRef] [PubMed]
  50. Wang, T.; Zhao, R.; Zhao, M.; Zhao, X.; An, Y.; Dai, X.; Xia, C. Effects of Applied Strain and Electric Field on Small-Molecule Sensing by Stanene Monolayers. J. Mater. Sci. 2017, 52, 5083–5096. [Google Scholar] [CrossRef]
  51. Nagarajan, V.; Chandiramouli, R. Adsorption Behavior of NH3 and NO2 Molecules on Stanene and Stanene Nanosheets—A Density Functional Theory Study. Chem. Phys. Lett. 2018, 695, 162–169. [Google Scholar] [CrossRef]
  52. Liu, N.; Zhou, S. Gas Adsorption on Monolayer Blue Phosphorus: Implications for Environmental Stability and Gas Sensors. Nanotechnology 2017, 28, 175708. [Google Scholar] [CrossRef]
  53. Mayorga-Martinez, C.C.; Sofer, Z.; Pumera, M. Layered Black Phosphorus as a Selective Vapor Sensor. Angew. Chem. Int. Edit. 2015, 54, 14317–14320. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Cui, S.; Pu, H.; Wells, S.A.; Wen, Z.; Mao, S.; Chang, J.; Hersam, M.C.; Chen, J. Ultrahigh Sensitivity and Layer-Dependent Sensing Performance of Phosphorene-based Gas Sensors. Nat. Commun. 2015, 6, 8632. [Google Scholar] [CrossRef]
  55. Yang, Q.; Meng, R.S.; Jiang, J.K.; Liang, Q.H.; Tan, C.J.; Cai, M.; Sun, X.; Yang, D.G.; Ren, T.L.; Chen, X.P. First-Principles Study of Sulfur Dioxide Sensor based on Phosphorenes. IEEE Electron Device Lett. 2016, 37, 660–662. [Google Scholar] [CrossRef]
  56. Lalitha, M.; Nataraj, Y.; Lakshmipathi, S. Calcium Decorated and Doped Phosphorene for Gas Adsorption. Appl. Surf. Sci. 2016, 377, 311–323. [Google Scholar] [CrossRef]
  57. Mahabal, M.S.; Deshpande, M.D.; Hussain, T.; Ahuja, R. Sensing Characteristics of Phosphorene Monolayers toward PH3 and AsH3 Gases upon the Introduction of Vacancy Defects. J. Phys. Chem. C 2016, 120, 20428–20436. [Google Scholar] [CrossRef]
  58. Pang, J.; Yang, Q.; Ma, X.; Wang, L.; Tan, C.; Xiong, D.; Ye, H.; Chen, X. DFT Coupled with NEGF Study of Ultra-Sensitive HCN and HNC Gases Detection and Distinct I-V Response based on Phosphorene. Phys. Chem. Chem. Phys. 2017, 19, 30852–30860. [Google Scholar] [CrossRef] [PubMed]
  59. Pumera, M. Phosphorene and Black Phosphorus for Sensing and Biosensing. Trends Anal. Chem. 2017, 93, 1–6. [Google Scholar] [CrossRef]
  60. Guo, S.; Yuan, L.; Liu, X.; Zhou, W.; Song, X.; Zhang, S. First-Principles Study of SO2 Sensors based on Phosphorene and Its Isoelectronic Counterparts: GeS, GeSe, SnS, SnSe. Chem. Phys. Lett. 2017, 686, 83–87. [Google Scholar] [CrossRef]
  61. Khan, M.S.; Srivastava, A.; Pandey, R. Electronic Properties of a Pristine and NH3/NO2 Adsorbed Buckled Arsenene Monolayer. RSC Adv. 2016, 6, 72634–72642. [Google Scholar] [CrossRef]
  62. Chen, X.P.; Wang, L.M.; Sun, X.; Meng, R.S.; Xiao, J.; Ye, H.Y.; Zhang, G.Q. Sulfur Dioxide and Nitrogen Dioxide Gas Sensor based on Arsenene: A First-Principle Study. IEEE Electron Device Lett. 2017, 38, 661–664. [Google Scholar] [CrossRef]
  63. Liu, C.; Liu, C.S.; Yan, X. Arsenene as a Promising Candidate for NO and NO2 Sensor: A First-Principles Study. Phy. Lett. A 2017, 381, 1092–1096. [Google Scholar] [CrossRef]
  64. Nagarajan, V.; Chandiramouli, R. Investigation on Adsorption Properties of CO and NO Gas Molecules on Aluminene Nanosheet: A Density Functional Application. Mater. Sci. Eng. B 2018, 229, 193–200. [Google Scholar] [CrossRef]
  65. Meng, R.S.; Cai, M.; Jiang, J.K.; Liang, Q.H.; Sun, X.; Yang, Q.; Tan, C.J.; Chen, X.P. First Principles Investigation of Small Molecules Adsorption on Antimonene. IEEE Electron Device Lett. 2017, 38, 134–137. [Google Scholar] [CrossRef]
  66. Li, T.T.; He, C.; Zhang, W.X. Electric Field Improved the Sensitivity of CO on substitutionally doped Antimonene. Appl. Surf. Sci. 2018, 427(Part A), 388–395. [Google Scholar] [CrossRef]
  67. Kistanov, A.A.; Cai, Y.; Kripalani, D.R.; Zhou, K.; Dmitriev, S.V.; Zhang, Y.W. A First-Principles Study on the Adsorption of Small Molecules on Antimonene: Oxidation Tendency and Stability. J. Mater. Chem. C 2018, 6, 4308–4317. [Google Scholar] [CrossRef]
  68. Srivastava, A.; Khan, M.S.; Ahuja, R. Electron Transport in NH3/NO2 Sensed Buckled Antimonene. Solid State Commun. 2018, 272, 1–7. [Google Scholar] [CrossRef]
  69. Shukla, V.; Wärma, J.; Jena, N.K.; Grigoriev, A.; Ahuja, R. Toward the Realization of 2D Borophene based Gas Sensor. J. Phys. Chem. C. 2017, 121, 26868–26876. [Google Scholar] [CrossRef]
  70. Huang, C.S.; Murat, A.; Babar, V.; Montes, E.; Schwingenschlögl, U. Adsorption of the Gas Molecules NH3, NO, NO2, and CO on Borophene. J. Phys. Chem. C 2018, 122, 14665–14670. [Google Scholar] [CrossRef]
  71. O’Brien, M.; Lee, K.; Morrish, R.; Berner, N.C.; McEvoy, N.; Wolden, C.A.; Duesberg, G.S. Plasma assisted Synthesis of WS2 for Gas Sensing Applications. Chem. Phys. Lett. 2014, 615, 6–10. [Google Scholar] [CrossRef]
  72. Kuru, C.; Choi, D.; Kargar, A.; Liu, C.H.; Yavuz, S.; Choi, C.; Jin, S.; Bandaru, P.R. High-Performance Flexible Hydrogen Sensor made of WS2 Nanosheet-Pd Nanoparticle Composite Film. Nanotechnology 2016, 27, 195501. [Google Scholar] [CrossRef]
  73. Li, X.; Li, X.; Wang, J.; Zhang, J. WS2 Nanoflakes based Selective Ammonia Sensors at Room Temperature. Sens. Actuators B Chem. 2017, 240, 273–277. [Google Scholar] [CrossRef]
  74. Ko, K.Y.; Park, K.; Lee, S.; Kim, Y.; Woo, W.J.; Kim, D.; Song, J.-G.; Park, J.; Kim, H. Recovery Improvement for Large-Area Tungsten Diselenide Gas Sensors. ACS Appl. Mater. Interfaces 2018, 10, 23910–23917. [Google Scholar] [CrossRef]
  75. Li, H.; Yin, Z.; He, Q.; Li, H.; Huang, X.; Lu, G.; Fam, D.W.H.; Tok, A.I.Y.; Zhang, Q.; Zhang, H. Fabrication of Single- and Multilayer MoS2 Film-based Field-Effect Transistors for Sensing NO at Room Temperature. Small 2012, 8, 63–67. [Google Scholar] [CrossRef] [PubMed]
  76. Cho, B.; Hahm, M.G.; Choi, M.; Yoon, J.; Kim, A.R.; Lee, Y.J.; Park, S.G.; Kwon, J.D.; Kim, C.S.; Song, M.; et al. Charge-Transfer-based Gas Sensing using Atomic-Layer MoS2. Sci. Rep. 2015, 5, 8052. [Google Scholar] [CrossRef] [PubMed]
  77. Cho, S.Y.; Kim, S.J.; Lee, Y.; Kim, J.S.; Jung, W.B.; Yoo, H.W.; Kim, J.; Jung, H.T. Highly Enhanced Gas Adsorption Properties in Vertically Aligned MoS2 Layers. ACS Nano 2015, 9, 9314–9321. [Google Scholar] [CrossRef]
  78. Shokri, A.; Salmi, N. Gas Sensor based on MoS2 Monolayer. Sens. Actuators B Chem. 2016, 236, 378–385. [Google Scholar] [CrossRef]
  79. Kang, M.A.; Han, J.K.; Cho, S.Y.; Bu, S.D.; Park, C.Y.; Myung, S.; Song, W.; Lee, S.S.; Lim, J.; An, K.S. Strain-Gradient Effect in Gas Sensors based on Three-Dimensional Hollow Molybdenum Disulfide Nanoflakes. ACS Appl. Mater. Interfaces 2017, 9, 43799–43806. [Google Scholar] [CrossRef] [PubMed]
  80. Choi, S.Y.; Kim, Y.; Chung, H.S.; Kim, A.R.; Kwon, J.D.; Park, J.; Kim, Y.L.; Kwon, S.H.; Hahm, M.G.; Cho, B. Effect of Nb Doping on Chemical Sensing Performance of Two-Dimensional Layered MoSe2. ACS Appl. Mater. Interfaces 2017, 9, 3817–3823. [Google Scholar] [CrossRef]
  81. Nagarajan, V.; Chandiramouli, R. MoSe2 Nanosheets for Detection of Methanol and Ethanol Vapors: A DFT Study. J. Mol. Graph. Model. 2018, 81, 97–105. [Google Scholar] [CrossRef] [PubMed]
  82. Mirabelli, G.; McGeough, C.; Schmidt, M.; McCarthy, E.K.; Monaghan, S.; Povey, I.M.; McCarthy, M.; Gity, F.; Nagle, R.; Hughes, G.; et al. Air Sensitivity of MoS2, MoSe2, MoTe2, HfS2, and HfSe2. J. Appl. Phys. 2016, 120, 125102. [Google Scholar] [CrossRef]
  83. Zhang, Y.H.; Zhou, K.G.; Gou, X.C.; Xie, K.F.; Zhang, H.L.; Peng, Y. Effects of Dopant and Defect on the Adsorption of Carbon Monoxide on Graphitic Boron Nitride Sheet: A First-Principles Study. Chem. Phys. Lett. 2010, 484, 266–270. [Google Scholar] [CrossRef]
  84. Sajjad, M.; Feng, P. Study the Gas Sensing Properties of Boron Nitride Nanosheets. Mater. Res. Bull. 2014, 49, 35–38. [Google Scholar] [CrossRef]
  85. Srivastava, A.; Bhat, C.; Jain, S.K.; Mishra, P.K.; Brajpuriya, R. Electronic Transport Properties of BN Sheet on Adsorption of Ammonia (NH3) Gas. J. Mol. Model. 2015, 21, 39. [Google Scholar] [CrossRef]
  86. Zhang, X.; Chen, Y.; Yang, Z. First Principles Study of the Gas Sensing 2D GeTe: Atomic, Electronic and Transport Properties. J. Phys. D 2018, 51, 345304. [Google Scholar] [CrossRef]
  87. Mao, Y.; Long, L.; Yuan, J.; Zhong, J.; Zhao, H. Toxic Gases Molecules (NH3, SO2 and NO2) Adsorption on GeSe Monolayer with Point Defects Engineering. Chem. Phys. Lett. 2018, 706, 501–508. [Google Scholar] [CrossRef]
  88. Liu, L.; Yang, Q.; Wang, Z.; Ye, H.; Chen, X.; Fan, X.; Zhang, G. High Selective Gas Detection for Small Molecules based on Germanium Selenide Monolayer. Appl. Surf. Sci. 2018, 433, 575–581. [Google Scholar] [CrossRef]
  89. Ma, S.; Yuan, D.; Wang, Y.; Jiao, Z. Monolayer GeS as a Potential Candidate for NO2 Gas Sensors and Capturers. J. Mat. Chem. C 2018, 6, 8082–8091. [Google Scholar] [CrossRef]
  90. Sun, X.; Yang, Q.; Meng, R.; Tan, C.; Liang, Q.; Jiang, J.; Ye, H.; Chen, X. Adsorption of Gas Molecules on Graphene-like InN Monolayer: A First-Principle Study. Appl. Surf. Sci. 2017, 404, 291–299. [Google Scholar] [CrossRef]
  91. Ma, D.; Ju, W.; Tang, Y.; Chen, Y. First-Principles Study of the Small Molecule Adsorption on the InSe Monolayer. Appl. Surf. Sci. 2017, 426, 244–252. [Google Scholar] [CrossRef]
  92. Cai, Y.; Zhang, G.; Zhang, Y.W. Charge Transfer and Functionalization of Monolayer InSe by Physisorption of Small Molecules for Gas Sensing. J. Phys. Chem. C 2017, 121, 10182–10193. [Google Scholar] [CrossRef] [Green Version]
  93. Ou, J.Z.; Ge, W.; Carey, B.; Daeneke, T.; Rotbart, A.; Shan, W.; Wang, Y.; Fu, Z.; Chrimes, A.F.; Wlodarski, W.; et al. Physisorption-based Charge Transfer in Two-Dimensional SnS2 for Selective and Reversible NO2 Gas Sensing. ACS Nano 2015, 9, 10313–10323. [Google Scholar] [CrossRef] [PubMed]
  94. Li, Y.; Leonardi, S.G.; Bonavita, A.; Neri, G.; Wlodarski, W. Two-Dimensional (2D) SnS2-based Oxygen Sensor. Procedia Eng. 2016, 168, 1102–1105. [Google Scholar] [CrossRef]
  95. Qin, Z.; Xu, K.; Yue, H.; Wang, H.; Zhang, J.; Ouyang, C.; Xie, C.; Zeng, D. Enhanced Room-Temperature NH3 Gas Sensing by 2D SnS2 with Sulfur Vacancies Synthesized by Chemical Exfoliation. Sens. Actuators B Chem. 2018, 262, 771–779. [Google Scholar] [CrossRef]
  96. Chen, M.; Li, Z.; Li, W.; Shan, C.; Li, W.; Li, K.; Gu, G.; Feng, Y.; Zhong, G.; Wei, L. Large-Scale Synthesis of Single-Crystalline Self-Standing SnSe2 Nanoplate Arrays for Wearable Gas Sensors. Nanotechnology 2018, 29, 455501. [Google Scholar] [CrossRef] [PubMed]
  97. Xiao, B.; Li, Y.C.; Yu, X.F.; Cheng, J.B. MXenes: Reusable Materials for NH3 Sensor or Capturer by Controlling the Charge Injection. Sens. Actuators B Chem. 2016, 235, 103–109. [Google Scholar] [CrossRef]
  98. Kim, S.J.; Koh, H.J.; Ren, C.E.; Kwon, O.; Maleski, K.; Cho, S.Y.; Anasori, B.; Kim, C.K.; Choi, Y.K.; Kim, J.; et al. Metallic Ti3C2Tx MXene Gas Sensors with Ultrahigh Signal-to-Noise Ratio. ACS Nano 2018, 12, 986–993. [Google Scholar] [CrossRef] [PubMed]
  99. Ma, S.; Yuan, D.; Jiao, Z.; Wang, T.; Dai, X. Monolayer Sc2CO2: A Promising Candidate as a SO2 Gas Sensor or Capturer. J. Phys. Chem. C 2017, 121, 24077–24084. [Google Scholar] [CrossRef]
  100. Yu, J.; Khazaei, M.; Umezawa, N.; Wang, J. Evolutionary Structure Prediction of Two-Dimensional IrB14: A Promising Gas Sensor Material. J. Phys. Chem. C 2018, 6, 5803–5811. [Google Scholar] [CrossRef]
  101. Cho, B.; Yoon, J.; Lim, S.K.; Kim, A.R.; Kim, D.H.; Park, S.G.; Kwon, J.D.; Lee, Y.J.; Lee, K.H.; Lee, B.H.; et al. Chemical Sensing of 2D Graphene/MoS2 Heterostructure Device. ACS Appl. Mater. Interfaces 2015, 7, 16775–16780. [Google Scholar] [CrossRef]
  102. Yang, W.; Wan, P.; Zhou, X.; Hu, J.; Guan, Y.; Feng, L. Additive-Free Synthesis of In2O3 Cubes Embedded into Graphene Sheets and Their Enhanced NO2 Sensing Performance at Room Temperature. ACS Appl. Mater. Interfaces 2014, 6, 21093–21100. [Google Scholar] [CrossRef]
  103. Shanmugasundaram, A.; Gundimeda, V.; Hou, T.; Lee, D.W. Realizing Synergy between In2O3 Nanocubes and Nitrogen-Doped Reduced Graphene Oxide: An Excellent Nanocomposite for the Selective and Sensitive Detection of CO at Ambient Temperatures. ACS Appl. Mater. Interfaces 2017, 9, 31728–31740. [Google Scholar] [CrossRef]
  104. Abbasi, A.; Sardroodi, J.J. An Innovative Method for the Removal of Toxic SOx Molecules from Environment by TiO2/Stanene Nanocomposite: A First-Principles Study. J. Inorg. Organomet. Polym. 2018, 28, 1901–1913. [Google Scholar] [CrossRef]
  105. Zhang, D.; Sun, Y.; Jiang, C.; Zhang, Y. Room Temperature Hydrogen Gas Sensor based on Palladium decorated Tin Oxide/Molybdenum Disulfide Ternary Hybrid via Hydrothermal Route. Sens. Actuators B Chem. 2017, 242, 15–24. [Google Scholar] [CrossRef]
  106. Triet, N.M.; Duy, L.T.; Hwang, B.U.; Hanif, A.; Siddiqui, S.; Park, K.H.; Cho, C.Y.; Lee, N.E. High-Performance Schottky Diode Gas Sensor based on the Heterojunction of Three-Dimensional Nanohybrids of Reduced Graphene Oxide-Vertical ZnO Nanorods on AlGaN/GaN Layer. ACS Appl. Mater. Interfaces 2017, 9, 30722–30732. [Google Scholar] [CrossRef] [PubMed]
  107. Yang, Y.; Katz, H.E. Hybrid of P3HT and ZnO@GO Nanostructured Particles for Increased NO2 Sensing Response. J. Mater. Chem. C 2017, 5, 2160–2166. [Google Scholar] [CrossRef]
  108. Thanh, T.D.; Chuong, N.D.; Hien, H.V.; Kshetri, T.; Tuan, L.H.; Kim, N.H.; Lee, J.H. Recent Advances in Two-Dimensional Transition Metal Dichalcogenides-Graphene Heterostructured Materials for Electrochemical Applications. Prog. Mater. Sci. 2018, 96, 51–85. [Google Scholar] [CrossRef]
  109. Nieuwenhuys, B.E.; Van Aardenne, O.G.; Sachtler, W.M.H. Absorption of Xenon on Group VIII and ib Metals studied by Photoelectric Work Function Measurements. Chem. Phym. 1974, 5, 418–428. [Google Scholar] [CrossRef]
  110. Yang, S.; Jiang, C.; Wei, S.-H. Gas Sensing in 2D Materials. Appl. Phys. Rev. 2017, 4, 021304. [Google Scholar] [CrossRef]
  111. Kittel, C. Introduction to Solid State Physics, 8th ed.; John Wiley & Sons: Hoboken, NJ, USA, 2005; ISBN 0-471-68057-5. [Google Scholar]
  112. Harrison, W.A. Electronic Structure and the Properties of Solids: The Physics of the Chemical Bond; Dover Publications: Mineola, NY, USA, 1989; pp. 31–58. ISBN 978-0486660219. [Google Scholar]
  113. Ladd, M.; Palmer, R. Structure Determination by X-Ray Crystallography: Analysis by X-rays and Neutrons; Springer: Berlin, Germany, 2013; pp. 51–110. ISBN 978-1-4614-3956-1. [Google Scholar]
  114. Setyawan, W.; Curtarolo, S. High-throughput Electronic Band Structure Calculations: Challenges and Tools. Comput. Mater. Sci. 2010, 49, 299–312. [Google Scholar] [CrossRef]
  115. Wallace, P.R. The Band Theory of Graphite. Phys. Rev. 1947, 71, 622–634. [Google Scholar] [CrossRef]
  116. Castro-Neto, A.H.; Guinea, F.; Peres, N.M.R.; Novoselov, K.S.; Geim, A.K. The Electronic Properties of Graphene. Rev. Mod. Phys. 2009, 81, 109–162. [Google Scholar] [CrossRef]
  117. Ribeiro, R.M.; Peres, N.M.R. Stability of Boron Nitride Bilayers: Ground-State Energies, Interlayer Distances, and Tight-Binding Description. Phys. Rev. B 2011, 83, 235312. [Google Scholar] [CrossRef]
  118. Gert, A.V.; Nestoklon, M.O.; Yassievich, I.N. Band Structure of Silicene in the Tight Binding Approximation. J. Exp. Theor. Phys. 2015, 121, 115–121. [Google Scholar] [CrossRef]
  119. Takahashi, L.; Takahashi, K. Low Temperature Pollutant Trapping and Dissociation over Two-Dimensional Tin. Phys. Chem. Chem. Phys. 2015, 17, 21394–21396. [Google Scholar] [CrossRef]
  120. Lin, Y.; Connell, J.W. Advances in 2D Boron Nitride Nanostructures: Nanosheets, Nanoribbons, Nanomeshes, and Hybrids with Graphene. Nanoscale 2012, 4, 6908–6939. [Google Scholar] [CrossRef] [PubMed]
  121. Lebègue, S.; Björkman, T.; Klintenberg, M.; Nieminen, R.M.; Erikson, O. Two-Dimensional Materials from Data Filtering and Ab Initio Calculations. Phys. Rev. X 2013, 3, 031002. [Google Scholar] [CrossRef]
  122. Garg, P.; Choudhuri, I.; Mahata, A.; Pathak, B. Band Gap Opening in Stanene induced by Patterned B-N Doping. Phys. Chem. Chem. Phys. 2017, 19, 3660–3669. [Google Scholar] [CrossRef] [PubMed]
  123. Li, T.; Galli, G. Electronic Properties of MoS2 Nanoparticles. J. Phys. Chem. C 2007, 111, 16192–16196. [Google Scholar] [CrossRef]
  124. Mak, K.F.; Lee, C.; Hone, J.; Shan, J.; Heinz, T.F. Atomically Thin MoS2: A New Direct-Gap Semiconductor. Phys. Rev. Lett. 2010, 105, 136805. [Google Scholar] [CrossRef] [PubMed]
  125. Potyrailo, R.A.; Surman, C.; Nagraj, N.; Burns, A. Materials and Transducers toward Selective Wireless Gas Sensing. Chem. Rev. 2011, 111, 7315–7354. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Main applications of the 2D materials in electronic industry.
Figure 1. Main applications of the 2D materials in electronic industry.
Sensors 19 01295 g001
Figure 2. Main properties of the two-dimensional materials in gas sensing.
Figure 2. Main properties of the two-dimensional materials in gas sensing.
Sensors 19 01295 g002
Figure 3. Experimentally measured values of work function for different metals.
Figure 3. Experimentally measured values of work function for different metals.
Sensors 19 01295 g003
Figure 4. Design process of a gas sensor through the electrical properties.
Figure 4. Design process of a gas sensor through the electrical properties.
Sensors 19 01295 g004
Figure 5. Parameters in a crystalline lattice.
Figure 5. Parameters in a crystalline lattice.
Sensors 19 01295 g005
Figure 6. Band structure of a single graphene layer (http://lampx.tugraz.at/~hadley/ss1/bands/tbtable/dispgraphene.html?).
Figure 6. Band structure of a single graphene layer (http://lampx.tugraz.at/~hadley/ss1/bands/tbtable/dispgraphene.html?).
Sensors 19 01295 g006
Figure 7. Graphene energy band structure.
Figure 7. Graphene energy band structure.
Sensors 19 01295 g007
Figure 8. Tight binding dispersion relation for two-dimensional boron nitride (http://lampx.tugraz.at/~hadley/ss1/bands/tbtable/dispbn.html?).
Figure 8. Tight binding dispersion relation for two-dimensional boron nitride (http://lampx.tugraz.at/~hadley/ss1/bands/tbtable/dispbn.html?).
Sensors 19 01295 g008
Figure 9. Hexagonal boron nitride energy band structure.
Figure 9. Hexagonal boron nitride energy band structure.
Sensors 19 01295 g009
Figure 10. Tight binding dispersion relation for silicene.
Figure 10. Tight binding dispersion relation for silicene.
Sensors 19 01295 g010
Figure 11. Silicene energy band structure.
Figure 11. Silicene energy band structure.
Sensors 19 01295 g011
Figure 12. Methodology to design gas sensors based on two-dimensional materials.
Figure 12. Methodology to design gas sensors based on two-dimensional materials.
Sensors 19 01295 g012
Figure 13. Band gaps of two-dimensional materials used in gas sensors.
Figure 13. Band gaps of two-dimensional materials used in gas sensors.
Sensors 19 01295 g013
Figure 14. Key performance scores spider chart comparing the performance of gas sensors based on two-dimensional materials and those based on other materials.
Figure 14. Key performance scores spider chart comparing the performance of gas sensors based on two-dimensional materials and those based on other materials.
Sensors 19 01295 g014
Table 1. Two-dimensional materials based on one chemical element for electronic applications.
Table 1. Two-dimensional materials based on one chemical element for electronic applications.
Two-Dimensional MaterialBAND GAPElectrical PropertiesCrystal StructureUnit Cell Parameters
Graphene0 eVMetalHexagonala = b = 0.2612 nm, c = 0.6079 nm, α = β = 90°, γ = 120°
Germanene0.26 eVSemimetalHexagonala = b = 0.249 nm, c = 0.268 nm, α = β = 90°, γ = 120°
Silicene0.1 eVSemimetalHexagonala = b = 0.382 nm, c = 0.45 nm, α = β = 90°, γ = 120°
Borophene (striped)2 eVSemimetalOrthorhombica = 0.161, b = 0.286 nm, c = 0.911 nm, α = β = 90°, γ = 120°
Stanene0.074 eVSemimetalHexagonala = b = 0.468 nm, c = 0.283 nm, α = β = 90°, γ = 120°
Aluminene1.618 eVSemiconductorHexagonala = b = 0.449 nm, c = 0.259 nm, α = β = 90°, γ = 120°
Bismuthene0.8 eVSemimetalHexagonala = b = 0.449 nm, c = 0.259 nm, α = β = 90°, γ = 120°
Antimonene (β phase)0.8–1.44 eVSemimetal/SemiconductorHexagonala = b = 0.401 nm, c = 0.284 nm, α = β = 90°, γ = 120°
Table 2. Two-dimensional semiconductor materials for electronic applications (www.hqgraphene.com).
Table 2. Two-dimensional semiconductor materials for electronic applications (www.hqgraphene.com).
Two-Dimensional MaterialBand GapElectrical PropertiesCrystal StructureUnit Cell Parameters
Diarsenic tritelluride As2Te3 (α phase)0.2–0.3 eVSemiconductor (indirect band gap), Topological insulator, Thermoelectric materialMonoclinic Ca = 1.430 nm, b = 0.403 nm, c = 0.986 nm, α = γ = 90°, β = 95.40°
Black phosphorus (BP)0.3 eVSemiconductor (direct band gap)Orthorhombic Ca = 0.331 nm, b = 1.048 nm, c = 0.437 nm, α = β = γ = 90°
Hexagonal Boron Nitride (h-BN)5.9 eVInsulator/Semiconductor (direct band gap)Hexagonala = b = 0.2502 nm, c = 0.6617 nm, α = β = 90°, γ = 120°
Dibismuth trisulphide (Bi2S3)1.3–1.45 eVSemiconductor (direct band gap)Orthorhombica = 0.4025 nm, b = 1.117 nm, c = 1.135 nm, α = β = γ = 90°
Gallium sulfide GaS (α phase)2.6 eVSemiconductor (indirect band gap)Hexagonala = 0.360 nm, b = 0.640 nm, c = 1.544 nm, α = β = 90°, γ = 120°
Gallium selenide GaSe (2H phase)2.1 eVSemiconductor (indirect band gap)Hexagonala = b = 0.374 nm, c = 1.592 nm, α = β = 90°, γ = 120°
Germanium sulfide (GeS)1.6 eVSemiconductor (indirect band gap)Orthorhombica = 1.450 nm, b = 0.364 nm, c = 0.430 nm, α = β = γ = 90°
Hafnium Disulfide (HfS2)2 eVSemiconductor (indirect band gap)Hexagonala = b = 0.363 nm, c = 0.586 nm, α = β = 90°, γ = 120°
Hafnium Diselenide (HfSe2)1.1 eVSemiconductor (indirect band gap)Hexagonala = b = 0.3745 nm, c = 0.616 nm, α = β = 90°, γ = 120°
Indium Selenide (In2Se3) (2H phase, α-phase)1.14 eVSemiconductor (direct band gap)Hexagonala = b = 0.398 nm, c = 18.89 nm, α = β = 90°, γ = 120°
Molybdenum Disulfide (MoS2) (2H phase)1.6 eVSemiconductor (indirect band gap)Hexagonala = b = 0.315 nm, c = 1.229 nm, α = β = 90°, γ = 120°
Molybdenum Ditelluride (2H phase)1.2 eVn-type Semiconductor (indirect band gap)Hexagonala = b = 0.353 nm, c = 1.396 nm, α = β = 90°, γ = 120°
Molybdenum Diselenide (MoSe2) (2H phase)1.2 eVSemiconductor (indirect band gap)Hexagonala = b = 0.329 nm, c = 1.289 nm, α = β = 90°, γ = 120°
Molybdenum Sulfide Selenide Alloy (MoSSe)1.4 eVSemiconductor (indirect band gap or direct band gap)Hexagonala = b = 0.31–0.33 nm, c = 1.21–1.29 nm, α = β = 90°, γ = 120°
Molybdenum Tungsten Diselenide Alloy (MoWSe2)1.2–1.3 eVSemiconductor (indirect band gap)Hexagonala = b = 0.31–0.33 nm, c = 1.21–1.30 nm, α = β = 90°, γ = 120°
Rhenium Disulphide (ReS2)1.35 eVSemiconductor (direct band gap)Triclinica = 0.634 nm, b = 0.640 nm, c = 0.645 nm, α = 106.74°, β = 119.03°, γ = 89.97°
Rhenium Diselenide (ReSe2)1.1 eVSemiconductor (direct band gap)Triclinica = 0.658 nm, b = 0.670 nm, c = 0.672 nm, α = 91.75°, β = 105°, γ = 118.9°
Antimony Telluride (Sb2Te3)0.340–0.515 eVSemiconductor (direct band gap), topological insulator, thermoelectric materialHexagonala = b = 0.425 nm, c = 3.048 nm, α = β = 90°, γ = 120°
Tin Disulfide (SnS2) (2H phase)2.2 eVSemiconductor (indirect band gap)Hexagonala = b = 0.364 nm, c = 0.589 nm, α = β = 90°, γ = 120°
Tin Diselenide (SnSe2)2–3 eVSemiconductor (indirect band gap)Hexagonala = b = 0.381 nm, c = 0.614 nm, α = β = 90°, γ = 120°
Tantalum Disulfide (TaS2) (1T phase)1 eVSemiconductor (direct band gap), Charge density waves (CDW) system, Mott phaseHexagonala = b = 0.336 nm, c = 0.590 nm, α = β = 90°, γ = 120°
Tungsten Disulfide (WS2) (2H phase1.3 eVSemiconductor (indirect band gap)Hexagonala = b = 0.315 nm, c = 1.227 nm, α = β = 90°, γ = 120°
Tungsten Diselenide (WSe2)1.3 eVSemiconductor (indirect band gap)Hexagonala = b = 0.328 nm, c = 1.298 nm, α = β = 90°, γ = 120°
Zirconium Diselenide (ZrSe2)1 eVSemiconductor (indirect band gap)Hexagonala = b = 0.377 nm, c = 0.614 nm, α = β = 90°, γ = 120°
Zirconium Triselenide (ZrSe3)1.1 eVSemiconductor (indirect band gap)Monoclinic Pa = 0.541 nm, b = 0.375 nm, c = 0.944 nm, α = β = 90°, γ = 97.50°
Table 3. Main two-dimensional materials used in gas sensing.
Table 3. Main two-dimensional materials used in gas sensing.
Two-Dimensional MaterialDetected GasesReferences
GrapheneCO, NO, NO2, NH3[33]
CO, NO[34]
NO2, NH3, H2, H2S, CO2, SO2[35]
NO2[36]
GermaneneNH3, SO2, NO2[37]
N2, CO, CO2, NH3, NO, NO2, O2[38]
H2[39]
H2S, SO2, CO2[40]
NO2[41]
CO, NO[42]
N2, NO, NO2, NH3[43]
GermananeNH3[44]
SiliceneNO, NO2[45]
NO[46]
H2S, SO2[47]
StaneneCO, NH3, H2S, O2, NO, NO2[48]
NO, NO2, NH3, N2O[49]
NH3, CO, NO, NO2[50]
NH3, NO2[51]
Blue PhosphoreneO2, NO, SO2, NH3, NO2, CO2, H2S, CO, N2[52]
Black PhosphoreneCH3OH[53]
NO2[54]
SO2[55]
CH4, CO2, H2, NH3[56]
PH3, AsH3[57]
HCN, HNC[58]
NO2[59]
SO2[60]
ArseneneNH3, NO2[61]
SO2, NO2[62]
NO, NO2[63]
AlumineneCO, NO[64]
AntimoneneNH3, SO2, NO, NO2[65]
CO[66]
CO, NO, NO2, O2, NH3, H2[67]
NH3, NO2[68]
BoropheneCO, NO, NO2, NH3, CO2[69]
NH3, NO, NO2, CO[70]
WS2NH3[71]
H2[72]
NH3, CH2O, CH3CH2OH, C6H6, C3H6O[73]
WSe2NO2, NH3, CO2, C3H6O[74]
MoS2NO[75]
NO2, NH3[76]
NO2[77]
CO, CO2, NO[78]
NH3, NO2[79]
MoSe2NO2[80]
CH3OH, CH3CH2OH[81]
MoTe2O2[82]
Boron Nitride (BN)CO[83]
CH4[84]
NH3[85]
GeTeNO[86]
GeSeNH3, SO2, NO2[87]
O2, NH3, SO2, H2, CO2, H2S, NO2, CH4, NO, CO[88]
GeSNO2[89]
InNCO, NH3, H2S, NO2, NO, SO2[90]
InSeCO, NH3, N2, NO2, NO, and O2[91]
CO, NO, NO2, H2S, N2, O2, NH3, H2[92]
SnS2NO2[93]
O2[94]
NH3[95]
SnSe2CH4[96]
HfS2O2[82]
HfSe2O2[82]
M2CO2, M = Sc, Ti, Zr, and HfNH3[97]
Ti3C2(OH)2Volatile organic compounds (VOCs)[98]
Sc2CO2SO2[99]
IrB14CO, CO2[100]
Table 4. Examples of hybrid or composites materials based on two-dimensional materials used in gas sensing.
Table 4. Examples of hybrid or composites materials based on two-dimensional materials used in gas sensing.
MaterialDetected GasesReferences
Graphene/Molybdenum Disulfide (MoS2)NO2[101]
Indium Oxide (In2O3)—GrapheneNO2[102]
Indium Oxide (In2O3)—Nitrogen-doped Reduced Graphene Oxide (N-RGO)CO[103]
Titania (TiO2)/StaneneSOx[104]
Palladium—Tin Oxide—Molybdenum Disulfide (Pd-SnO2/MoS2)H2[105]
Reduced Graphene Oxide—Zinc Oxide—Aluminum Gallium Nitride/Gallium Nitride (RGO-ZnO-AlGaN/GaN)NO2, SO2, HCHO[106]
Poly(3-hexylthiophene)—Zinc Oxide–Graphene Oxide (P3HT-ZnO@GO)NO2[107]
Table 5. Seven crystalline systems.
Table 5. Seven crystalline systems.
Crystal SystemRelations
Lattice ConstantsInteraxial Angles
Cubica = b = cα = β = γ = 90°
Tetragonala = bcα = β = γ = 90°
Orthorhombica ≠ b ≠ cα = β = γ = 90°
Monoclinica ≠ b ≠ cα = γ, β ≠ 90°
Triclinica ≠ b ≠ cα ≠ β ≠ γ ≠ 90°
Trigonal (Rhombohedral)a = b = cα = β = γ ≠ 90°
Hexagonala = b ≠ cα = β, γ = 120°
Table 6. Critical points in the first Brillouin zone in 2D materials with hexagonal lattice.
Table 6. Critical points in the first Brillouin zone in 2D materials with hexagonal lattice.
SymbolDescription
ΓCenter of the Brillouin zone
ACenter of a hexagonal face
HCorner point
KMiddle of an edge joining two rectangular faces
LMiddle of an edge joining a hexagonal and a rectangular face
MCenter of a rectangular face
Table 7. Crystalline lattices found in 2D materials.
Table 7. Crystalline lattices found in 2D materials.
Crystalline LatticeFirst Brillouin Zone
Hexagonal Sensors 19 01295 i001
Orthorhombic Sensors 19 01295 i002
Monoclinic (P and C) Sensors 19 01295 i003
Triclinic Sensors 19 01295 i004
Table 8. Data of the first Brillouin zone of hexagonal lattices (http://lampx.tugraz.at/~hadley/ss1/bzones/).
Table 8. Data of the first Brillouin zone of hexagonal lattices (http://lampx.tugraz.at/~hadley/ss1/bzones/).
Symmetry Points[kx, ky, kz]Point Group
Γ: (0, 0, 0)[0, 0, 0]6/mmm
A: (0, 0, 1/2)[0, 0, π/c]6/mmm
K: (2/3, 1/3, 0)[4π/3a, 0, 0] 6 ¯ 2m
H: (2/3, 1/3, 1/2)[4π/3a, 0, π/c] 6 ¯ 2m
M: (1/2, 0, 0)[π/a, -π/ 3 a, 0]mmm
L: (1/2, 0, 1/2)[π/a, -π/ 3 a, π/c]mmm
Table 9. Data of the first Brillouin zone of orthorhombic lattices (http://lampx.tugraz.at/~hadley/ss1/bzones/).
Table 9. Data of the first Brillouin zone of orthorhombic lattices (http://lampx.tugraz.at/~hadley/ss1/bzones/).
Symmetry Points[kx, ky, kz]Point Group
Γ: (0, 0, 0)[0, 0, 0]mmm
Y: (1/2, 1/2, 0)[π/a, 0, 0]mmm
Y’ or Y1: (−1/2, 1/2, 0)[0, π/b, 0]mmm
Z: (0, 0, 1/2)[0, 0, π/c]mmm
T: (1/2, 1/2, 1/2)[π/a, 0, π/c]mmm
T’ o T1: (−1/2, 1/2, 1/2)[0, π/b, π/c]mmm
S: (0, 1/2, 0)[π/2a, π/2b, 0]2/m
R: (0, 1/2, 1/2)[π/2a, π/2b, π/c]2/m
Table 10. Data of the first Brillouin zone of triclinic lattices.
Table 10. Data of the first Brillouin zone of triclinic lattices.
Symmetry Points
Γ
L
M
N
R
X
Y
Z
Table 11. Data of the first Brillouin zone of P monoclinic lattices.
Table 11. Data of the first Brillouin zone of P monoclinic lattices.
Symmetry Points[kx, ky, kz]
Γ[0, 0, 0]
X[2π/a, −2π/atanγ, 0]
Y[0, 2π/bsinγ, 0]
Z[0, 0, 2π/c]
A[2π/a, −2π/atanγ, 2π/c]
D[0, 2π/bsinγ, 2π/c]

Share and Cite

MDPI and ACS Style

Vargas-Bernal, R. Electrical Properties of Two-Dimensional Materials Used in Gas Sensors. Sensors 2019, 19, 1295. https://doi.org/10.3390/s19061295

AMA Style

Vargas-Bernal R. Electrical Properties of Two-Dimensional Materials Used in Gas Sensors. Sensors. 2019; 19(6):1295. https://doi.org/10.3390/s19061295

Chicago/Turabian Style

Vargas-Bernal, Rafael. 2019. "Electrical Properties of Two-Dimensional Materials Used in Gas Sensors" Sensors 19, no. 6: 1295. https://doi.org/10.3390/s19061295

APA Style

Vargas-Bernal, R. (2019). Electrical Properties of Two-Dimensional Materials Used in Gas Sensors. Sensors, 19(6), 1295. https://doi.org/10.3390/s19061295

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop