Milena
Šetka
ab,
Martha
Claros
a,
Ondřej
Chmela
ac and
Stella
Vallejos
*acd
aCEITEC – Central European Institute of Technology, Brno University of Technology, 61200 Brno, Czech Republic. E-mail: stella.vallejos@imb-cnm.csic.es; vargas@vutbr.cz; Fax: +34 935800267; Tel: +34 935947700
bDepartment of Chemical Engineering, University of Chemistry and Technology, Technická 3, 166 28 Prague 6 – Dejvice, Czech Republic
cDepartment of Microelectronics, Faculty of Electrical Engineering and Communication, Brno University of Technology, Technická 3058/10, 61600 Brno, Czech Republic
dInstitute of Microelectronics of Barcelona (IMB-CNM, CSIC), Campus UAB, 08193 Cerdanyola del Vallès, Barcelona, Spain
First published on 1st November 2021
This review presents the recent research efforts and developments in photoactive materials for sensing ppb concentrations of NO2. It also includes the fundamentals of photoactivated gas sensing and enabling technologies for achieving light-activated gas microsensors. The discussion addresses the most common strategies to improve photoactivity in gas-sensitive materials, including tuning surface vacancies in semiconductor materials and forming nanoscale interfaces based on metal–semiconductor or semiconductor–semiconductor junctions. The data point to gas-sensitive materials containing ZnO as the most representative NO2 photoresponsive semiconductors. Besides, the review summarises novel photoactive materials with promising NO2 sensitivity, such as transition metal dichalcogenides, organic semiconductors, and organo-functional structures. The literature shows that photoactivated gas sensors have competitive detection limits and form factors with their commercial counterparts. Further improvements to these sensing components by using material engineering and microfabrication technologies are forecasted to enable their practical applications.
Traditionally, high performance stationary gas detection techniques, including gas chromatography, ion mobility spectrometry, and mass spectrometry, are employed in air-quality control, despite their drawbacks in terms of cost, size, and consumables.4 However, with the advent of the Internet of Things (IoT) era to industry and consumer products, the demand for gas sensory systems has leaned towards the use of more affordable miniaturized array components with low power consumption, multivariable response, and the capacity to be connected and deployed ubiquitously, as opposed to classical methods.1,5 Chemical gas sensors based on a broad selection of sensing materials and suitable transducers may provide advantages in this aspect, despite their limitations in selectivity, which can be improved in part by combining optimized gas sensing receptor arrays, filters, and/or machine learning algorithms.6–8 Against a host of current competing chemical sensing technologies for NO2, electrochemical (EC)-based sensors are the most representative technology in the market (Table 1). Their performance and detection limits cover the usual environmental regulations, although their fabrication process and form factors may bring issues compared to other types of sensors, for instance, those based on semiconductors (MOS) which are fully compatible with state-of-the-art microelectronic fabrication processes and miniaturization.
Manufacturer | Reference | Type | DG | DR (ppm) | LDL (ppm) | Form factor (mm3) |
---|---|---|---|---|---|---|
DG: detectable gases, DR: detection range, LDL: lower detection limit, EC: electrochemical, PCBM: printed circuit board module, MOS/MEMS: metal oxide semiconductor/microelectromechanical system.a Package 110-508 modules.b Other detection ranges available (0–1000 and 0–100 ppm), N/A: not available. | ||||||
SGX Sensortech | MiCS-2714 | MOS/MEMS | H2, NO2 | 0.05–10 | 0.05 | 54 |
Euro-Gas | NO2 SS-Micro | EC | NO2 | 0–50b | 0.15 | 595 |
Spec Sensors | 3SP-NO2-5F Ca | EC & PCBM | NO2 | 0–5 | <0.02 | 1220 |
EC Sense | TB600B-NO2-5 | EC & PCBM | NO2 | 0–5 | 0.05 | 1536 |
Nemoto | NE4-NO2 | EC | NO2 | 0–30 | 0.1 | 5426 |
Figaro | FECS42-20 | EC | NO2 | 0–20 | N/A | 5393 |
Alphasense | NO2-B43F | EC | NO2 | 0–20 | N/A | 13520 |
Membrapor | NO2/CA-2 | EC | NO2 | 0–2 | N/A | 15120 |
MOS-based gas sensors have attracted the attention of both academics and manufacturing players for several years. These systems usually operate in resistive mode, so-called chemoresistive. The adsorbed gas/vapor species form surface states at the sensitive material by exchanging electrons with the bulk. The concentration of the surface states formed is proportional to the partial pressure of the analyte impinging on the material, so the material conductivity changes in response to the gas/vapor concentration.9–12 The whole process is usually thermally activated, in most cases using local heating elements to increase the temperature to hundreds of Celsius degrees (100–500 °C), or photoactivated as an alternative for enabling the gas/vapor response of the sensitive material at room temperature.13–15 The photoactivation of gas-sensitive materials influences their electronic properties, introducing photogenerated electron–hole pairs that promote the chemical interactions at the gas–solid interface.16,17 This method has been used effectively in the literature for detecting gases and vapors usually employing ultraviolet (UV) and visible light.16,17
In practical scenarios, the use of photoactivation employing Light Emitting Diodes (LEDs), instead of thermal activation using Joule effect heating elements, promises to reduce further the power consumption (from mW to μW)18,19 and simplify the complementary electronics evading the need for temperature control systems. These characteristics could add further advantages to sensor miniaturization, autonomy, and integration into interconnected ubiquitous sensing networks. Photoactivation may also have a positive impact on material stability and selectivity.6,16 However, at present, there is still little systematized information in the gas sensing community on the different aspects that boost and optimize the functionality of photoresponsive gas-sensitive materials. In this context, the present review centers the attention on the principles and materials that enable photoactive response with a special focus on the systems that exhibited photoactivated NO2 response at sub-ppm concentrations at room temperature.
The compiled tables display photoactive materials, their main characteristics, and levels of response to NO2, as well as testing peculiarities (if reported) such as the type of light and irradiance employed in the corresponding studies. The materials generally include common gas/vapor sensitive metal oxides (e.g., ZnO, TiO2, In2O3) as well as other semiconductors, including transition metal dichalcogenides (e.g., MoS2, WS2, SnS2) and graphene-based structures (e.g., rGO, GO) in their non-modified or modified version, i.e., multi-compositional semiconductors. The review also summarizes the typical electronic characteristics of these materials, including band diagrams and conductivity type, although one must note that these are characteristics that can be tuned to a certain extent for each material so the numerical values could show deviations from work to work. Overall, the literature survey reveals a noteworthy number of suitable photoactive sensitive materials and systems capable of sensing low NO2 concentrations at room temperature, positioning this technology as a possible fair competitor of current commercial sensors with the added value of high system integration potential. Within this frame of reference, the most common technological approaches for the synthesis of photoactive gas-sensitive materials and the key enabling systems for their practical use in a new generation of miniaturized sensors are also assessed. Hence, here we present the recent research efforts and developments in photoresponsive materials for NO2 detection.
Fig. 1 Schematic illustration of the formation of photogenerated charge carriers (electrons (e) and holes (h)) upon absorption of light. Adapted from ref. 25, with permission from the American Chemical Society, 2012. |
The properties enumerated previously are mainly dependent on the characteristics of the semiconductor (e.g., energy band structure, free carrier density, presence of defects) and emission spectra of the light source (photon energy).23,26–29 For instance, the photogeneration of electron–hole pairs in the semiconductor is influenced by the width of its band gap and the absorbed photon energy and it may appear in the UV, visible, or infrared (IR) wavelength regime (Fig. 2a). Visible and IR light are more appropriate to activate semiconductors with narrow band gaps (<3 eV) due to their low photonic energy, whereas UV light provides the necessary photonic energy to activate both wide and narrow band gap semiconductors. Hence, common gas-sensitive semiconductors, e.g., TiO2, ZnO, and SnO2 with relatively wide band gaps, usually need higher energy, in the UV range, for their photoactivation (Fig. 2b).
Fig. 2 (a) Wavelengths and the corresponding energies for the UV, visible, and IR electromagnetic spectral regimes. (b) Band gaps and band-edge positions with respect to the vacuum level of the most common photoactivated semiconductors used for NO2 sensing. The green and blue lines indicate the lower edge of the conduction band and the upper edge of the valence band, respectively. The data were collected from various reports in the literature;35–39 a star symbol (*) is displayed on the band gaps determined experimentally.40–42 The work functions of various metal catalysts are also displayed on the right side of the figure.43 |
The photons exciting the semiconductor with excessive energy (above the threshold of the band gap) can lead to a decrease of the material's chemical activity (e.g., gas sensing properties) due to the dissipation of energy by vibration quanta. Thus, the excitation near the band gap energy of the semiconductor is preferred as it usually provides a maximum in photoactivity and chemical activity.30 Apart from the light wavelength, the irradiance of light is another factor that influences the photoactivation and the gas sensing properties of the semiconductor. The irradiance is not always reported in the gas sensing literature, and instead of it, some authors report the radiant power, also called radiant flux. However, it is important to note that these are different parameters. In radiometry, radiant flux [W] is explained as the radiation power given off from a radiation source per unit of time, while irradiance [W m−2] is defined as the power per unit area of electromagnetic radiation incident on the surface.31 Thus, the irradiance at a particular point depends on the configuration of the light source and the distance of the light source from the target sample.
As far as the rate of transfer of electron–hole pairs and their recombination are concerned, these steps are linked in part to the band bending properties of the semiconductor, i.e., the arrangement of the free charge carrier concentration near the semiconductor surface and the formation of potential energy barriers. In general, the band bending and its orientation depend on factors such as the dopant concentration and the presence of interfaces (e.g., metal–semiconductor and semiconductor–semiconductor junctions), which may have a strong influence on enhancing the electron–hole separation.25 Another critical factor is the crystalline quality of the material, with the crystalline defects acting as centers for electron–hole recombination and scattering of itinerant electrons and holes, which is unfavorable for the diffusion of charge carriers.32
Hence, the tuning of semiconductor properties such as the morphology, structure, surface, doping, and composition is a highly desirable. Material engineering can contribute towards this and realise new optimized semiconductors with both highly efficient photoactivated chemical reactions at the surface and minimum photoexcitation energy, preferentially in the visible wavelength range. The possibility of exciting semiconductors in the visible wavelength range could provide different advantages according to the application. The general rationale behind this preference includes, for instance, in electronics, the efficient use of energy (targeting to consume low or zero electrical power) or, in catalysis, the exploitation of the solar spectrum, which contains a higher percentage of visible light (∼5% UV, ∼43% visible, and ∼52% IR). Another technical aspect includes the wider availability, to date, of light sources in the visible range (e.g., conventional discharge lamps, tubes, and LEDs); light devices with high photonic energy (UV range) are still technologically and materially more expensive than those in the visible range.33
Further details related to strategies and approaches for achieving efficient photoactivation and photochemical reactions on semiconductor surfaces can be found elsewhere.23,25,27,28 In the literature, several review papers discuss the properties and performance of gas-sensitive materials under photoactivation.16,17,34 The following sections of this review focus exclusively on the use of photoactivation for sensing low NO2 concentrations and the most successful materials and interface systems used to this end.
Initially, when a gas-sensitive semiconductor is exposed to ambient air, without photo- or thermoactivation, oxygen molecules are adsorbed onto the semiconductor's surface. In this step, oxygen captures the electrons from the semiconductor's CB, forming oxygen ions (O2(ads)−), as shown in eqn (1).
O2(gas) + e− → O2(ads)− | (1) |
O2(ads)− + hhν+ → O2(gas) | (2) |
O2(gas) + ehν− → O2(hν)− | (3) |
Subsequently, when the photoactivated sensing material is exposed to NO2, the gas molecules react with the photogenerated oxygen species (eqn (4) and (5)), or even directly with the photogenerated electrons from the CB (eqn (6)). This causes a dramatic change in the electron density of the semiconductor and, in turn, in its conductivity, which is connected with the sensor response and final performance.
NO2 + O2(hν)− → NO2(hν)− + O2(gas) | (4) |
2NO2 + O2(hν)− + ehν− → 2NO3(hν)− | (5) |
NO2 + ehν− → NO2(hν)− | (6) |
NO2(hν)− + h+ → NO2(gas) | (7) |
2NO3(hν)− + 2h+ → 2NO2(gas) + O2(gas) | (8) |
Material | Morphology | CG | R dry (%) | C (ppb) | R H2O (%) | C/RH (ppb)/(%) | T res/Trec (s)/(s) | λ (nm) | E e (mW cm−2) | Ref. |
---|---|---|---|---|---|---|---|---|---|---|
NWs: nanowires; F: films; NDs: nanodisks; L: layer; NPs: nanoparticles; NRs: nanorods; NTs: nanotubes; C/S: core/shell; NS: nanosheets; S: sheets; NCs: nanocubes; C: coatings; NFs: nanofibers; Rdry: response in a dry environment; RH2O: response in a humid environment; CG: carrier gas; C: concentration; Tres: response time; Trec: recovery time; λ: light wavelength; Ee: irradiance; Ref.: references.a The information about irradiance [mW cm−2] is not always included in the reports, or it is substituted with a different parameter, such as radiant energy or radiant power [W] which is not included in the table.b The unit for Ee is cd m−2, N/A: data not available. | ||||||||||
Single sensing materials | ||||||||||
ZnO | F | Air | 1310 | 400 | >500 | 400/80 | 19/32 | 365 | 0.6 | 51 |
6.6 | 2.5 | |||||||||
ZnO | NWs | Air | 708 | 1000 | >400 | 1000/80 | 31/144 | 360 | 0.8 | 49 |
48 | 20 | |||||||||
ZnO | F | Air | 240 | 50 | >100 | 50/57 | N/A | 365 | 0.02 | 50 |
165 | 25 | |||||||||
ZnO | F | Air | 180 | 400 | N/A | N/A | 822/N/A | 480 | N/A | 52 |
In2O3 | NWs | Air | 452 | 500 | N/A | N/A | N/A | 460 | 5.4 | 58 |
WO3 | F | Air | 190 | 160 | N/A | N/A | 894/1098 | 480 | 0.0004 | 55 |
NiO | NDs | Air | 31 | 372 | 30 | 372/100 | 792/1746 | 480 | N/A | 59 |
12 | 57 | |||||||||
MoTe2 | L | Air | 18 | 20 | N/A | N/A | 300/120 | 254 | 2.5 | 60 |
Metal–semiconductor junctions | ||||||||||
Ag–ZnO | NPs | Air | 180 | 1000 | >180 | 1000/97 | 140/130 | 470 | 75 | 61 |
60 | 500 | |||||||||
Pd–ZnO | NPs–NRs | Air | 160 | 100 | <105 | 100/80 | 25/29 | 475 | 0.8 | 62 |
6.6 | 5 | |||||||||
Au–WS2 | NPs–NTs | Air | 20 | 250 | N/A | N/A | N/A | 530 | N/A | 39 |
Semiconductor–semiconductor (n–n) junctions | ||||||||||
ZnO–In2O3 | NPs–NRs | Air | 406 | 500 | 320 | 500/90 | 100/31 | 365 | 5 | 44 |
50 | 50 | |||||||||
CdS–ZnO | C–NWs | Air | 6.7 | 5 | N/A | N/A | 27/53 | 468 | 0.7 | 63 |
ZnO–SnO2 | NRs–NPs | Air | 150 | 200 | N/A | N/A | 420/480 | 380 | 0.7b | 64 |
Semiconductor–semiconductor (p–n) junctions | ||||||||||
MoS2–ZnO | NS–NWs | N2 | 8.4 | 50 | N/A | N/A | 60/60 | 365 | N/A | 40 |
MoS2–ZnO | NS–NRs | Air | 91 | 5 | N/A | N/A | 132/110 | 365 | 0.3 | 65 |
Cu2O–ZnO | NCs–NRs | Air | 485 | 100 | N/A | N/A | N/A | N/A | N/A | 66 |
CuO–ZnO–Cu2O | C | Air | 124 | 200 | N/A | N/A | 756/768 | N/A | 150 | 67 |
Semiconductor–carbon heterojunctions | ||||||||||
TiO2–G | NPs–S | Air | N/A | N/A | 17 | 70/40 | 35/90 | 400 | N/A | 68 |
SnO2–rGO | NFs–NS | Air | 23 | 500 | 15 | 5000/90 | 426/438 | 365 | 97 | 69 |
SnS2–rGO | S | Air | 13 | 15 | N/A | N/A | <250/<250 | 650 | 1 | 70 |
Multi-component sensing materials | ||||||||||
Fe2O3–MWCNTs–WO3 | F | Air | 0.67 | 50 | N/A | N/A | 232/71 | 365 | N/A | 71 |
Au–Ag–MWCNTs–WO3 | NPs–F | Air | N/A | N/A | 25 | 100/50 | 267/N/A | 365 | N/A | 72 |
Au–Cu2O–ZnO | NPs–NCs–NRs | Air | 1050 | 100 | N/A | N/A | N/A | N/A | N/A | 66 |
26 | 5 |
ZnO, on the top of the list, is an n-type semiconductor with a broad direct band gap (3.1–3.3 eV), and optical/electrical properties that are significantly influenced by the presence of defects, e.g., oxygen vacancies (VO), zinc interstitials and zinc vacancies.47,48 Previously, various ZnO structures in the form of nanowires,49 nanofilms,50 and macro/mesoporous51 or porous coatings52 have proved to be appropriate for NO2 sensing under photoactivation. For instance, ZnO nanowires with VO rich surfaces were photoactivated using a UV lamp with a wavelength of 360 nm and an optimal irradiance of 0.8 mW cm−2 to detect NO2. These sensors displayed responses of 48% to 20 ppb of NO2 with response and recovery times of 31 s and 144 s, respectively. Results demonstrated that the response of photoactive ZnO is significantly enhanced, by 2.7 times, compared to VO-deficient ZnO surfaces.49 Similar investigation on the variations of VO concentrations in ZnO showed that the response of rich VO porous coatings with a narrow band gap (2.15 eV) reaches 180% to 400 ppb of NO2 under visible light (λ = 480 nm) excitation;52 though the time required for the response was long (13.7 min). Further studies found that the gas sensing properties of ZnO nanofilms with VO are dependent on not only the amount of VO but also the VO states, such as neutral vacancies (V0O), singly ionized states (V1+O), and double ionized states (V2+O). The greatest responses towards NO2 were recorded on annealed (400 °C) ZnO nanofilms (band gap of 3.13 eV), in which the transition of V0O to V2+O occurred. Li et al. found that the presence of V2+O on ZnO favors the adsorption of NO2 in ambient O2 and enhances the sensor response. The opposite effect was noticed for ZnO with V0O, in which the majority of vacancies were occupied by the adsorbed O2. Eventually, the sensors based on ZnO with V2+O showed a response of 165% to 25 ppb of NO2 under UV light (λ = 365 nm) activation.50 ZnO films composed of hierarchically porous nanorods also showed response (6.6%) to 2.5 ppb of NO2 under UV illumination (λ = 365 nm), with response and recovery times in the range of seconds, 19 s and 32 s, respectively.51 The authors of this work concluded that highly porous ZnO films processed by microwave heating have better sensing performances compared to dense nanorod-based films obtained under conventional heating. This was attributed to the increased amount of macropores and mesopores in the films, which enabled the efficient penetration and scattering of UV light within the film and improved adsorption and diffusion of the NO2 gas.
WO3 is another NO2 sensitive MOX that is considered as a visible-light-driven n-type semiconductor due to its wide band gap energy (2.6–3.2 eV).53,54 Previously, WO3 showed sensitivity to low NO2 concentrations under light activation.55 A study of its performance in the UV to visible light (380–590 nm) range showed a strong dependence of its response on the light wavelength used. An enhancement of the sensitivity and speed of response and recovery times to NO2 was registered by using visible light (λ = 480 nm) and an irradiance of 0.37 W cm−2. For these conditions, the sensors showed a response of 190% to 160 ppb of NO2 with response and recovery times of 14.9 and 18.3 min, respectively.
In2O3 is also an n-type gas-sensitive semiconductor with an indirect band gap in the range of 2.6–2.8 eV.56,57 This semiconducting oxide is considered as a photoactive material with the possibility of absorbing a wide solar spectral range.58 Thus, In2O3 was used previously in the form of parallel aligned nanowires for detecting 500 ppb of NO2 across the full spectrum of visible light (from blue to red) with the highest response (452%) obtained in blue light (λ = 460 nm). Interestingly, this material also showed high response (23%) to 10 ppb of NO2 under polychromatic light sources (white LED). The results were attributed in part to the use of parallel nanowire arrays aligned under deposited interdigital electrodes (ITO). This structure provided a high specific surface area and facilitated electron mobility.
NiO also belongs to the list of photoactive materials for NO2 sensing. This oxide behaves as a p-type semiconductor and has a wide band gap (3.2–4.0 eV).73 Recent studies showed that it shows strong absorption in the whole visible light region and sensitivity to NO2 ppb-levels when black NiO in the presence of Ni3+ ions and VO is used as a sensitive-material.59 Indeed, the large specific surface area and higher porosity of NiO nanodisks showed the greatest sensing properties compared to other nanostructures (nanosized grains and nanosheets) due to the high concentrations of VO and Ni3+ ions. The optimal sensing performances for this material, including a response of 31% to 372 ppb of NO2 and response and recovery times of 13.2 and 29.1 min, respectively, were obtained under blue light illumination (480 nm). The magnitude of the response and the speed of response/recovery for the sensors based on NiO nanodisks decreased for lower wavelengths.
Two-dimensional TMDCs are another class of photoactive semiconductor materials used for NO2 sensing. They are layered materials in the form of MX2, where M is a transition metal (e.g., Mo, W) and X is a chalcogenide (e.g., S, Se, and Te) covalently bonded. TMDCs are intensively studied in various photocatalytic applications (e.g., water splitting, CO2 reduction, gas sensing) due to their narrow band gap and absorption in the wide region of the solar spectrum, as well as high charge carrier mobility. The most common TMDCs, including molybdenum disulphide (MoS2), molybdenum telluride (MoTe2), and tin sulphide (SnS2), have been used as active NO2 sensitive films under light activation in either their single or modified form.17 The examples for single or bare TMDCs used in the literature for detection of NO2 at ppb levels are rare; hence our survey displays only a study of p-type MoTe2 layers in Table 2.60 This material showed a response of 18% to 20 ppb of NO2 and response/recovery times of 5 min/2 min, respectively, under UV illumination with a wavelength of 254 nm and an irradiance of 2.5 mW cm−2. Discussion on other TMDCs forming interfaces, e.g., with metals or oxides, is considered further in the sections dedicated to modified photoactive materials.
The materials exposed above also revealed other functional characteristics (apart from the response, sensitivity, and response/recovery times) of great importance, such as selectivity, humidity interference, and long-term stability. For instance, sensors based on ZnO macro/mesoporous films51 reported good NO2 selectivity over other typical air pollutants such as ethanol (C2H5OH), sulfur dioxide (SO2), hydrogen sulfide (H2S), carbon monoxide (CO), and methane (CH4). Also, a good selectivity to NO2 was noticed for ZnO nanowires49 compared to nitrogen oxide (NO), formaldehyde (HCHO), C2H5OH, CO, and CH4. The evaluation of In2O3 nanowires’ gas selectivity also showed good affinity to NO2 concerning other gases such as H2S, ammonia (NH3), TMA, acetone (C3H6O), benzene (C6H6), C2H5OH, toluene (C7H8), and xylene (C8H10).58 Similarly, systems based on NiO nanodisks indicated good selectivity to NO2 by showing at least four times higher responses to this gas as compared to others (e.g., NH3, HCHO, acetaldehyde (C2H4O), hydrogen (H2)).59 Moreover, humidity tests showed in general that n-type photoactive semiconductors exhibit decreased response to NO2 in a humid environment (see Table 2), while p-type semiconductors such as NiO show the lowest moisture dependence. The stability tests for some of the systems, displayed in Table 2, showed low decreases in the response over 15 days for ZnO porous films52 and after 90 days for ZnO macro/mesoporous films,51 ZnO nanowires,49 and In2O3 nanowires,58 indicating relatively good middle-term stability for these materials.
In summary, ZnO is one of the most representative bare photoactive semiconductors used for sub-ppm NO2 detection under UV illumination. The potential of other semiconductors such as WO3 and In2O3 has also been identified due to their visible-light-driven response towards low NO2 concentrations. Generally, the improvements in the photoactivated gas sensing performance of these materials have been connected to either their specific morphology or structural surface defects such as vacancies. The presence of VO can narrow the band gap width of semiconductors and cause the reduction of the energy required for electron transition. Thus, the structures with a higher VO amount may enable the photoactivation of the semiconductor (e.g., ZnO, NiO) under visible light. Moreover, the presence of VO can improve the charge carrier generation and separation efficiency and provide an increased amount of active sites on the surface, leading to better adsorption of NO2 and enhanced sensing performance.74 The wavelength of light and irradiance are considered critical parameters that strongly influence the sensor response and dynamics of the response. The increase of the irradiance to a certain threshold value enhanced the sensing response,49 whereas the increase of photon energy (light wavelength decrease) showed a contrary effect on the functionality by decreasing the response and the response/recovery time.55,59
Apart from bare semiconducting materials for NO2 detection, the literature shows many other non-bare materials with the potential of improving the photoactive response to gases and in particular to NO2. These include generally modified (composite) materials with ‘extra’ interfaces (e.g., metal–semiconductor or semiconductor–semiconductor junctions) aiming at increasing the light absorption, promoting the separation/migration of charge carriers, and enhancing the surface gas sensitivity. The most common metals and n- and p-type semiconductors employed in these composites are displayed in Fig. 2b. In the following section, we provide a detailed discussion of these systems in the context of NO2 detection at ppb levels. Generally, the modified photoactive materials are divided into two groups: metal–semiconductor and semiconductor–semiconductor junction systems.
The band bending has been demonstrated to be a complex and fundamental step in light-driven chemical processes. It can significantly decrease the recombination of electron–hole pairs and promote their separation and migration to the semiconductor surface,25,75 so that the photogenerated charge carrier pairs in the metal–semiconductor system can be effectively separated driven by the internal electric fields. The photoexcited electrons can be trapped by the metal particles, while the photoexcited holes enrich the semiconductor side (for an n-type semiconductor). This is the main reason for the enhancement of photoactivity in metal–semiconductor junctions and the promotion of surface reactions.76,77 An improved surface activity can also be connected with these systems due to the catalytic properties of the metal. The presence of metal plays a key role in the activation of surface reactive sites of the semiconductor and the reduction of the activation energy for surface chemical reactions.78,79
In metal–n-type semiconductor materials with Schottky barriers under UV activation (Fig. 3a), the photogenerated electrons with enough energy in the CB of the semiconductor can migrate to the metal overcoming the potential barriers; the separation efficiency is determined by the barrier height (φSB). The electron–hole separation is promoted in the smaller height potential barriers as the photogenerated electrons need less energy to overcome the barrier and migrate from the semiconductor's CB to the metal.80 However, in the case of ohmic contact, the transfer of charge carriers is smoother, as there is no barrier at the metal–semiconductor interface. Incorporating plasmonic metals (e.g., gold nanoparticles) rather than non-plasmonic metals in these systems offers the possibility of extending the light absorption from the UV to the visible region thanks to the surface plasmon effects of these metals when taken to the nanoscale. Therefore, under visible light activation (Fig. 3b), high-energy hot electrons are created in the plasmonic nanoparticles and injected into the CB of the semiconductor whenever the kinetic energy of the electrons is greater than the potential barrier (φSB) between the metal and the n-type semiconductor. The appropriate height of the Schottky barriers prevents the backward flow of hot injected electrons from the semiconductor's CB to the metal, and it contributes to the efficient electron–hole separation and surface chemical reactions. The backward flow of hot electrons is feasible for ohmic contact due to the absence of a barrier, so the electron–hole separation cannot be promoted. Therefore, the tuning of the potential barrier height plays a key role in the photoactivation of plasmonic metal–semiconductor systems (it should not be too high or too small to enable hot electron injection into the semiconductor and avoid the back-flow of hot electrons).81–83Fig. 3 depicts a schematic view of the metal–n-type semiconductor system with Schottky junctions and their photoactivation for both cases discussed above. The electrons from the semiconductor's CB migrate to the metal under UV light, and the photogenerated electrons from plasmonic metal nanoparticles are injected into the semiconductor's CB under visible light.
The field of photoactivated gas sensors usually refers to metal–semiconductor junction-based materials containing noble metals such as gold (Au), silver (Ag), platinum (Pt), and palladium (Pd) and semiconductors such as MOX and TMDCs.17 The systems tested for low NO2 concentrations focus on ZnO and its modification with metals such as Ag61 and Pd,62 as well as WS2 modified with Au39 (Table 2). Overall, these systems showed a response to NO2 under visible light activation. Accordingly, the incorporation of Ag nanoparticles on ZnO enhanced light absorption in the visible range concerning optically inactive bare ZnO nanoparticles thanks to the surface plasmon resonance effect of Ag.61 Thus, Ag-modified ZnO nanoparticles (AgNO3/Zn(NO3)2 molar ratio 3:97) showed a 60% response to 500 ppb of NO2 under visible light activation (λ = 470 nm) with an irradiance of 75 mW cm−2. The sensors exhibited response and recovery times of more than 140 s and 130 s, respectively.61 The authors found, however, that the excessive concentration of Ag (AgNO3/Zn(NO3)2 molar ratios 5:95 and 8:92) influenced the sensor response negatively by reducing the photo quantum efficiency due to the participation of the Ag particles as charge carrier recombination centers. The decrease in the photoactivated surface reactions of highly metal-loaded semiconductors was also described earlier, and the effect was attributed to the increased number of negative metal sites, which could attract and recombine positive holes, lowering the photoactivity at the end.84 Plasmonic-active Au nanoparticles were also used as the source of hot electron generation for the visible light activation of ZnO nanostructures in the form of nanowires85 and nanorods,86,87 although the functionality of these structures was not assessed for NO2 concentrations below 1 ppm.
The modification of ZnO with Pd nanoparticles also influenced the behavior of ZnO, making it optically active in the visible light region and responsive to NO2 due to the injection of photoexcited non-plasmonic electrons from Pd nanoparticles to ZnO.62 The photocatalytic properties of Pd nanostructures under visible light were also investigated previously in the area of photoactivation.76,88 The Pd-nanoparticle modified ZnO rods displayed responses of 160% to 100 ppb of NO2, revealing response and recovery times of 25 s and 29 s, respectively.62 This performance was accomplished under the optimal conditions of visible light (λ = 475 nm) illumination and an irradiance of 0.8 mW cm−2. The enhancement in NO2 response from 85% to 160% was noticed with the increment of the irradiance from 0.3 to 0.8 mW cm−2, respectively. The interference from humidity decreased the response of the Pd–ZnO sensors, and the stability tests showed that a slight decrease in the response occurred during the testing period of 90 days.
Tungsten disulfide (WS2) modified with Au nanoparticles is another material that has shown responsiveness to low NO2 concentrations. The sensing properties of WS2 nanotubes containing Au nanoparticles (HAuCl4/WS2 molar ratio 1:2) were tested under green light illumination (λ = 530 nm).39 Bare and Au modified WS2 sensors showed responses to 250 ppb of NO2. The adsorption of NO2 molecules onto the bare WS2 nanotubes is feasible due to the generation and separation of electron–hole pairs. This occurs as the wavelength energy of the green light exceeds both the indirect (1.3–1.4 eV) and direct (2.0–2.1) band gaps of WS2. The modification of WS2 with Au NPs allowed for sensors with higher sensitivity to NO2 compared to bare WS2 due to the photoactivation of both the Au NPs (i.e., excitation of Au surface plasmon resonance) and the WS2 structures. Overall, the results showed an increase of 10% in the response to 250 ppb of NO2 for the Au–WS2 composite structures compared to the bare WS2 structures.
Further tests of materials mentioned above indicated good selectivity to NO2 (1 ppm) over other pollutants, including NO (1 ppm), C2H5OH (10 ppm), HCHO (10 ppm), NH3 (10 ppm), H2 (100 ppm), and CO (100 ppm) for Pd–ZnO62 junction-based materials. A higher selectivity to 1 ppm of NO2 was achieved though for Ag–ZnO sensors, which showed negligible response to several common interfering gases, including HCHO (25 ppm), CH4 (50 ppm), CO (50 ppm), NH3 (50 ppm), SO2 (100 ppm) and carbon dioxide (CO2) (10000 ppm).61
In summary, the detection of NO2 in the ppb concentration range was only achieved in a few reports, in which either MOX (ZnO) or TMDCs (WS2) were combined with plasmonic (e.g., Au, Ag) or non-plasmonic (e.g., Pd) transition metal nanoparticles. The composite materials reached the photoactivation stage under visible light illumination thanks to plasmonic or even non-plasmonic (as Pd) electron generation in the metals and the sufficient electron–hole separation (with electron transfer into the CB of the semiconductor). The size and shape of the metals modifying the semiconductor, as well as their geometry and the locations to the neighboring semiconductor material, are also critical parameters that affect the efficiency of generation of electron–hole pairs, their separation, and finally, the gas sensing properties.83 However, the correlation of these factors with the sensor performances is absent in literature reports.
The type of band alignment has an influence on the separation of photogenerated charge carriers. In this context, heterojunctions with Type II alignment may be advantageous as the electrons and holes are separated in two semiconductors as opposed to Type I where charge carriers gather in the same semiconductor and have a higher probability of recombination.90,92 Apart from band alignment, the internal electric field across the interface of the semiconductors due to the band bending (effect of the Fermi level equilibrium) also influences the electron–hole separation. The formation of a space charge region is favored in the p–n junction due to the diffusion of electrons from the n-type semiconductor to the p-type semiconductor, and vice versa for the holes. Thus, the built-in electric field at the interface favors the transport of a type of charge carrier (e.g., electron) forbidding the other (e.g., hole) in a specific direction; this contributes positively to the charge separation process and the lifetime of the photogenerated charge carriers.77,93,94 Hence, the design of specific band alignments at the semiconductor–semiconductor junction can improve the photogenerated electron–hole separation and influence directly the surface reactions.94,95
As noticed in Table 2, semiconductor–semiconductor junction-based materials have been reported considerably more than other systems (bare materials or metal–semiconductor junction-based materials) for the photoactive detection of low NO2 concentrations. For instance, n–n type heterojunction systems were formed by combining ZnO with In2O3,44 ZnO with cadmium sulfide (CdS),63 and ZnO with tin oxide (SnO2).64 The band alignment of these composites corresponds to Type II. Hence, in the ZnO–In2O3 heterojunction, with the In2O3 CB above that of ZnO, the photogenerated electrons are transferred from the CB of In2O3 to that of ZnO, while the photogenerated holes are transferred in the opposite direction (i.e., from the VB of ZnO to that of In2O3). This transfer of electrons and holes in opposite directions promotes the separation of photogenerated charge carriers and increases the number of active species that participated in the oxidation or reduction reactions at the surface. Indeed, this model structure (ZnO–In2O3 with 10 mol% In2O3 in ZnO) reported in the literature44 exhibited response (50%) to a low (50 ppb) NO2 concentration with response and recovery times of 100 s and 31 s, respectively, under UV light (λ = 368 nm) activation and an irradiance of 5 mW cm−2. The authors in this work also discussed the influence of In2O3 loading (5, 10, and 15 mol%) on ZnO, showing a compromise in the loaded amounts. Results showed that too low or too high amounts did not represent an improvement for the separation efficiency of charge carriers because either they are not enough to show a change in properties or they incorporate recombination centers. The change in photoactivation efficiency as a function of the concentration of active materials was also observed before.61 The CdS–ZnO composite represents another Type II heterojunction addressed to efficiently separate photogenerated charge carriers and improve the photocurrent of the film. In this system, the electrons from the CB of CdS are injected into the CB of ZnO, while the holes accumulate in the VB of CdS. This composite (i.e. CdS–ZnO core/shell nanowires) achieved the detection of 5 ppb of NO2 under light illumination (λ = 468 nm) and an optimum irradiance of 0.68 mW cm−2. The response (6.7% for 5 ppb of NO2) exhibited good dynamics with response and recovery times of 27 s and 53 s, respectively. Thanks to this structure, which provides a high density of electrons in the CB of ZnO, the response to low concentrations of NO2 is achieved.63 Similarly, the system composed of ZnO and SnO2 suggests a Type II heterojunction, in which the photogenerated electrons are transferred to the CB of SnO2 and the holes accumulate in the VB of ZnO. On testing, this composite, with a Zn/Sn molar ratio of 1:1, displayed response to a low NO2 concentration (200 ppb) using a wavelength light of 380 nm and an irradiance of 0.7 cd m−2 (reported for Rgas/Rair = 2.5, calculated for ((Rgas − Rair)/Rair) × 100 = 150%), although with relatively slow response and recovery times, 420 s and 480 s, respectively.64 The authors of this work also reported a remarkable increase of the photoactivated response with the increase of NO2 concentration to 500 ppb (reported for (Rgas − Rair)/Rair = 1266, calculated for ((Rgas − Rair)/Rair) × 100 = 126600%). However, it is worth noting that this value deviates considerably from others reported in the literature for the same concentrations, as noticed in Table 2.
In the literature, there are also p–n heterojunction systems that have shown successful responses to low NO2 concentrations. Among these, heterojunctions formed by combining ZnO with MoS2,40,65 ZnO with copper(I) oxide (Cu2O),66 and ZnO with a copper(II) oxide (CuO) and Cu2O mixture.67 Different morphologies of ZnO (n-type) in the form of nanowires40 and nanorods65 were mixed with few-layer MoS2 nanosheets (p-type). These systems formed Type II p–n heterojunctions, which suggest that after the photoactivation, efficient separation of the charge carriers is achieved. In the MoS2–ZnO system, the electrons from the CB of MoS2 can move into the CB of ZnO, while holes are transferred from the VB of ZnO into the VB of MoS2, driven by the built-in field at the interface. Thanks to this structure, the sensors based on ZnO nanowires with MoS2 showed a response of 8.4% to 50 ppb of NO2 under UV light (λ = 365 nm) with response and recovery times of about 1 min. Unlike other reports, these results were obtained using nitrogen as the carrier gas for the tests. In addition, this system manifested good selectivity to NO2 compared with several interfering gases (e.g., NO, NH3, H2S, HCOH, CO, H2) and showed long-term stability over three weeks with a gradual response decay. Similarly, the systems formed with ZnO nanorods and MoS2 nanosheets65 showed a good response (91%) to 5 ppb of NO2 using UV activation (λ = 365 nm, irradiance = 0.3 mW cm−2) with response and recovery times of 132 s and 100 s, respectively. The improved performances of these sensors were attributed to the formation of a p–n heterojunction and the presence of abundant adsorption sites, including VO at the ZnO structure and sulfur vacancies and edge defects at MoS2.
The p–n junction can also be established by mixing ZnO (n-type) with CuO and Cu2O (both p-type) as shown in previous work.67 In this heterojunction system, which can be identified as Type II, an internal electric field is created due to the Fermi level alignment so that the electrons from the CB of CuO and Cu2O migrate to the CB of ZnO, while holes move to the VB of CuO and/or Cu2O. The gas sensing test of this composite with highly concentrated donor defects was performed using white light and an irradiance of 0.15 W cm−2. Results showed a response of 124% to 200 ppb of NO2 with relatively long response and recovery times, 12.6 and 12.8 min, respectively. This system also revealed good selectivity to NO2 among other gases such as SO2, C3H6O, C2H5OH, and methanol (CH3OH). The use of p–n junctions based on ZnO nanorods and Cu2O nanocubes was also reported previously for NO2 detection at low concentrations. This composite showed a response of 485% to 100 ppb of NO2.66 Lu et al. stated further improvements to NO2 by adding Au to the Cu2O–ZnO heterojunction system. Thus, the addition of Au led to a response of 1050% to 100 ppb of NO2.
In the literature, one can also find composites containing traditional materials (e.g., MOX, TMDCs) and other new materials with semiconducting properties based on carbon (e.g., graphene, reduced graphene oxide (rGO)) that have been used for the photoactivated detection of NO2. For instance, the rGO–SnO2 composite, identified as a p–n type heterojunction, exhibited a sensing response of 23% to 500 ppb of NO2 with good selectivity over other analytes (SO2, NH3, HCOH, H2, CH4, and C8H10)69 by using UV light activation (λ = 365 nm, irradiance = 97mW cm−2). In this system, the electron–hole pairs are photogenerated in SnO2 and electrons migrate to rGO driven by the built-in electric field. Humidity tests of the rGO–SnO2 sensor to 11% to 89% RH showed its stable sensing ability in this range, although with a decrease of the response to 5 ppm of NO2.
Another example of p–n heterojunctions is represented by rGO (p-type) and SnS2 (n-type) semiconductors.70 This system with different contents of rGO in the mixture was found to have a direct influence on the gas sensing response of rGO–SnS2 composites under light illumination. Generally, samples with low rGO loads in the SnS2–rGO mixture (i.e., predominantly n-type behavior) enhanced the visible light-activated response (λ = 650 nm, irradiance of 1 mW cm−2) to NO2 by a factor of approximately six compared to non-photoactivated samples. On the other hand, samples with high rGO loads in the SnS2–rGO mixture (i.e., predominantly p-type behavior) showed negligible differences in response to NO2 with and without visible light activation. The results for the n-type SnS2–rGO mixture were attributed to the significant differences between the work functions of each material, which allowed a large number of electrons to be transferred from the rGO to the SnS2. Even though this should also be valid for the p-type SnS2–rGO mixture, the fact that a poor photoelectric material, for example rGO, is dominant in the sample makes the whole SnS2–rGO mixture poorly photoactive. Graphene sheets containing embedded TiO2 nanoparticles were also investigated as a photoactive material for NO2 sensing. Comparative tests of their response to 1750 ppb of NO2 with and without photoactivation indicated two-fold higher responses by the photoactivation of the material. Further photoactivated tests (λ = 400 nm) showed a response of 17% to low NO2 concentrations (70 ppb) in a humid environment (40% RH).68
The mixture of more than two types of materials based on Fe2O3–MWCNTs–WO3 for the photoactivated response to NO2 was also reported in the past,71 although without a specific mention of the formation and influence of junctions in the sensing properties of the composite films. Laboratory tests of these composite films showed a response of 0.67% to 50 ppb of NO2 under pulsed UV illumination (365 nm) and response and recovery times of 232 s and 71 s, respectively. The selectivity tests indicated a remarkable response to NO2 compared to other gases (NH3, SO2, CO, and H2S). Further tests of these sensors in the exhaust of a motorcycle in the idling position proved their on-field applicability by detecting NO2 (∼232 ppb).71 The combination of p–n heterojunctions and metal-semiconductor junctions in the same systems was also tested previously by using ZnO–Cu2O composite films modified with Au.66 Lu et al. claimed that the addition of Au to the mentioned system provides further efficiency to the separation of photogenerated electron–hole pairs. Therefore, the response of Au–Cu2O–ZnO based sensors (1050%) doubles the response of ZnO–Cu2O (485%) to 100 ppb of NO2, when using continuous UV illumination (irradiance not available in the report).
In summary, photoactivated gas-sensitive materials with both n–n and p–n type heterojunctions were used for detecting sub-ppm NO2 concentrations. Most of the combinations that involve n- and p-type semiconductors correspond to Type II band alignment, which is known to provide better separation of photogenerated electron–hole pairs. We observed that among n-type semiconductors, ZnO is one of the most common materials in these combinations, while MoS2, CuO, and Cu2O attracted more attention from the group of p-type materials. Most of the sensors based on semiconductor–semiconductor junctions exhibited NO2 response under UV activation (365 or 380 nm), while only CdS–ZnO and SnS2–rGO showed response in the visible range of light (468 nm and 650 nm, respectively). The last systems, which contain narrow band gap semiconductors (e.g., CdS (∼2.4 eV),35 SnS2 (∼2.3 eV)42), can have a strong absorption potential in the visible region, ensuring the photoactivation of the composite material (narrow/wide band gap semiconductors)26 and the response to NO2 under visible-light illumination.
Material | Synthesis | Morphology | C (ppm) | R dry (%) | T (°C) | λ (nm) | Ref. |
---|---|---|---|---|---|---|---|
C: concentration; Rdry: response in a dry environment; T: temperature; λ: wavelength; Ref.: references; APTES: 3-triethoxysilylpropylamine; AACVD: aerosol assisted chemical vapor deposition; RT: room temperature; DNA: deoxyribonucleic acid; CTMA: cetyltrimethylammonium chloride; DBSA: dodecylbenzenesulfonic acid; PPy: polypyrrole; en-APTAS: N-[3-(trimethoxysilyl)-propyl]-ethylenediamine; CSA: camphorsulfonic acid. | |||||||
Phototactivated | |||||||
APTES/WO3−x | Silanization/AACVD | Nanowires | 10 | 5.5 | RT | 356 | 103 |
DNA-CTMA functionalized GaN | Plasma-assisted molecular beam epitaxy | Thin films | 100 | 19 | RT | 364, 254 | 104 |
Non-photoactivated | |||||||
Polythiophene/WO3 | Colloidal chemical method | Nanocrystalline powder | 100 | 1200 | 70 | — | 99 |
APTES/WO3 | Polymer electrospinning – annealing | Porous nanotubes | 1 | 4400 | 340 | — | 100 |
Titanyl phthalocyanine/ZnO | Vapor phase growth technique | Tetrapod-shaped nanocrystals | 0.5 | 145 | 25 | — | 98 |
DBSA doped PPy–WO3 | Mechanical mixing method/drop casting | Nanoparticles | 100/5 | 72/12 | RT | — | 101 |
en-APTAS/SnO2 | Self-assembled monolayer | Layers/nanowires | 0.4 | 2100 | RT | 450, 650 only for desorption | 102 |
CSA/PPy–ZnO | Polymerization/sol–gel/spin-coating | Aggregation of nanoparticles | 100 | 80 | RT | — | 105 |
PPy/Fe2O3 | Hydrothermal process | Microspheres/nanoparticles | 0.1 | 220.7 | 50 | — | 106 |
Recently, for instance, WO3−x nanowires modified with (3-aminopropyl)triethoxysilane (APTES) molecules by silanization showed UV light-activated response to NO2 and ethanol at room temperature.103 Tests of these organo-functionalized structures showed their nearly eight times higher sensitivity (ppm−1) to NO2 and improved response dynamics, as compared to bare WO3−x nanowires, with further improvements (about four-fold the sensitivity of APTES@WO3−x) by using APTES modified CeO2–WO3−x structures. These results were attributed in part to the presence of the reactive amino group of APTES at the surfaces of WO3−x and CeO2–WO3−x, which favors the reactivity towards polar gaseous molecules. Results were also connected with the UV light activation, which allows the transfer of electrons from the APTES to the metal oxide conduction band, increasing its conductivity and facilitating the reaction with the gases. Along a similar line, the UV light activation of bare gallium nitride (GaN) films functionalized with deoxyribonucleic acid (DNA) in complex with cetyltrimethylammonium chloride (CTMA) proved to be sensitive to NO2 at room temperature.104 This study proposed that the functional groups in the DNA–CTMA compounds (–NH3, OH) are responsible for the increase of the surface charge density at GaN so that the charge transfer between GaN and NO2 gas molecules is likely increased. The tests showed that the modified GaN (DGaN) has a better response (37.33%) to NO2 under 254 nm UV illumination than without UV illumination (19%). The authors inferred that the charge carriers are generated on the surface of the material under UV light activation, and this further can enhance the ionization of pre-adsorbed O2 molecules. These aspects led to a significant increment of active species at the material surface, improving the response of the DGaN sensors to NO2 under UV light activation.
As noted in Table 3, the list of light-activated hybrid materials for NO2 sensing in the literature is short. However, one can find examples of other hybrid materials that have been used for NO2 detection (at room temperature or under thermoactivation), and that might be improved by using light-activated sensing. For example, polythiophene (PTP) was used for the functionalization of nanocrystalline WO3 powder by an in situ chemical oxidative polymerization method. This electron donor–acceptor system, composed of PTP molecules and WO3 particles that behave as p- and n-type semiconductors, respectively, was employed to increment further the depletion barrier height of the bare WO3 particles and improve the response of the sensor to NO2. Tests to 100 ppm of NO2 corroborated the improvement showing a response of 110% for bare WO3 and 1200% for PTP–WO3 at 70 °C.99 Similarly, WO3 porous nanotubes functionalized with APTES molecules showed sensitivity to low NO2 concentrations, though using thermal activation at 340 °C.100 Tests to 1 ppm of NO2 demonstrated that the introduction of APTES increases the response of pristine WO3 from 90% to 4400%, respectively. The authors also found that the concentration dependence of response has a linear behavior with a measured detection limit of 10 ppb (response = 25%). The results were attributed to the incorporation of amino groups (due to the APTES molecules) that exhibit strong electron-donor properties and tend to form hydrogen bonds with the unpaired electrons of the oxygen from the NO2 gas. Another hybrid material based on SnO2 nanowires functionalized with N-[3(trimethoxysilyl)propyl]ethylenediamine (en-APTAS) also showed a non-photoactivated response to NO2 at room temperature (<28 °C); however, it proved the need for visible light illumination (450 and 650 nm) to enhance and accelerate the gas desorption process.102 The results of this system towards several gases, including SO2, CO, CO2, NH3, NO, and NO2, reported the major response (2100%) to NO2 at a sub-ppm concentration (400 ppb).
Titanyl phthalocyanine (TiOPc) functionalized ZnO nanotetrapods were also used for detecting NO2 without photoactivation.98 In this system, the organic molecule modified the sensitivity of the nanostructure at low temperatures (i.e., room temperature), obtaining a good response (14500%) for 500 ppb of NO2, although with slow dynamics since the time to reach this response needed more than 60 min. This strong sensitivity was connected with the formation of localized p–n heterojunctions at the surface of n-type ZnO and p-type TiOPc and the possibility of exchanging charge carriers at this hybrid–composite interface. Another example of hybrid NO2 sensitive materials working at room temperature also includes dodecylbenzenesulfonic acid (DBSA) doped polypyrrole–tungsten oxide (PPy–WO3) nanocomposites, which showed high sensitivity to NO2 gas with 72% and 12% response to 100 ppm and 5 ppm, respectively.101 The authors of this work proposed the formation of p–n junctions distributed at the surface of this material and electron charge transfer mainly between NO2 and PPy, with the role of DBSA centered in enhancing the rate of reaction by creating additional active sites in the PPy–WO3 hybrid nanocomposite. Previously, a hybrid sensor of polypyrrole–zinc oxide (PPy–ZnO) doped with camphorsulfonic acid (CSA) was also evaluated for NO2 sensing at room temperature, obtaining 80% of the response to 100 ppm of NO2.105 In summary, organo-functionalized hybrid nanomaterials have proven to be alternatives for the photoactivated detection of not only NO2, but also other gases/vapors reported previously, e.g., acetone, nitromethane, triethylamine,107 methanol,108 ammonia,109 and hydrogen sulfide.110
Generally, the decrease of NP size enhances the efficiency of photocatalyst materials since the proportion of available surface area increases while maintaining the intrinsic activity of the material. However, it must be noted that this has an increasing effect on the quantum confinement, which enlarges the optical energy band gap of the material, and so, size reduction may sometimes reduce photo-efficiency (Fig. 5a), as determined previously for ZnO120 and anatase TiO2.121
Fig. 5 (a) Energy band variation in nanoparticles as the size decreases to the quantum dot classification (adapted from ref. 130, with permission from AIP Publishing, 2020). (b) Schematic illustration of crystal defects with different atomic arrangements in photocatalytic materials (adapted from ref. 124, with permission from Elsevier, 2018). |
The crystalline quality of the material also influences the light–solid interactions, i.e., photon absorption, charge-carrier formation, dynamics, and surface trapping. Crystal defects have generally negative effects on the photocatalytic properties since defects act as centers for electron–hole recombination and scattering of itinerant electrons and holes, which is unfavorable for the diffusion of charge carriers. However, in specific cases, the defect-controlled synthesis of photocatalytic materials may be strategic to improve properties such as the band structure of semiconductors to extend the light absorption range122 and/or add active sites for catalytic reactions.123,124 A schematic illustration of the possible defects in crystalline materials is displayed in Fig. 5b. Usually, defects are divided into four groups: point defects (e.g., vacancy and doping), line defects (e.g., screw dislocation and edge dislocation), planar defects (e.g., grain boundary and twin boundary), and volume defects (e.g., lattice disorder and void).124,125
The literature shows numerous synthetic methods to achieve a controlled synthesis of materials with photosensitivity to NO2,58,62,67,113,114,118,119,126–128 as noticed in Table 4. However, against a host of competing synthetic methods, those considered as bottom-up methods are a recurrent strategy for the synthesis of bare and composite materials, probably because these methods are generally more affordable and enable the tuning of key parameters such as the size (nano/micrometer range), shape (thin films, nanorods, nanosheets, etc.), and crystallinity of the material in a fairly reproducible manner.129
Method | Material | Type of SC | Morphology | Dimensions (nm) | Ref. |
---|---|---|---|---|---|
SC: semiconductor; M: metal.a Microwave hydrothermal process.b Precipitation/hydrothermal process.c Oxidation-exfoliation/hydrothermal process.d Solution precursor plasma spray (SPPS)/GO-Hummers’ method.e Commercial-chemical precipitation.f Precipitation–calcination.g Electrospinning-high temperature calcination.h Diameter.i Length.j Thickness.k Width. | |||||
Hydrothermal | ZnO | n | Nanobars/nanotubes | — | 111 |
SnS2 | n | Nanosheets | 50–200 | 113 | |
In2O3 | n | Nanorods | 120–300h | 112 | |
500–1000i | |||||
ZnOa | n | Nanorod-assembled macro-/mesoporous films | 5–20h | 51 | |
ZnO | n | Nanowires | 20–80h | 62 | |
10000–30000i | |||||
NiO2b | p | Hexagonal nano-discs | 25–30 | 59 | |
WO3 | n | Hollow spheres formed of nanosheets | 2000–4000h | 97 | |
ZnO/silk fibroin | n | Films/nanoparticles | — | 132 | |
RGO/CeO2c | p | Nanosheets/nanocrystals | 3j | 134 | |
SnS2/rGO | n/p | Sheets/layers | — | 70 | |
PSS/ZnO | n | Nanowires | 100–5000h | 131 | |
20000–50000i | |||||
Solution precursor plasma spray (SPPS) | SnO/ZnO/SnO2 | n | Nanostructured coatings | 15–40 | 135 |
WO3/GOd | n–p | GO-gauze-like sheets | — | 133 | |
CuxO1−y/ZnO2−α | p–n | Nanoparticles | 15–40 | 67 | |
Chemical precipitation | WS2/Aue | n | Multiwalled nanotubes/nanoparticles | 500–1000i | 39 |
30–200h | |||||
Mo2S/Au | p/M | Nanosheets/Nanoparticles | 4,j 4000i/50h | 118 | |
In2O3f | n | Nano-brick-like structures | 100–150 | 96 | |
Sol–gel | MoS2/ZnO | p/n | Nanosheets/nanocrystals | — | 126 |
TiO2/graphene | n/— | Nanoparticles/sheets | 20h | 68 | |
Electrospinning | rGO/SnO2g | n/p | Sheets/nanofibers | Fibers 80–250h | 69 |
In2O3 | n | Nanowires | 80–200h | 58 | |
Solvothermal | MoS2–rGO | n/p | Nanosheets/sheets | — | 136 |
Self-assembly crystallization | Pt/ZnO | M/n | Nanoparticles/nanowires | 1–5h/140–300,h 4000i | 127 |
Seeded growth assisted method | ZnO/Pd | Schottky junction | Nanorods/nanoparticles | 10–20h/2–8h | 62 |
Stepper lithography/magnetron sputtering | GaN/TiO2 | N/A | Wires/thin films | 400,i 400–500k/30j | 128 |
Exfoliation | MoTe2 | p | 2D layers | 3.7j | 60 |
Chemical vapor deposition | MoS2 | n | 2D layers | ∼3j | 114 |
Hydrothermal synthesis is one of the favorite methods for the preparation of bare NO2 photosensitive materials, according to our survey (Table 4). This method, for instance, has been used for the synthesis of ZnO with tuned morphologies including nanobars/tubes,111 nanorod assembled macro/mesoporous films,51 and nanowires.131 It has also proved the synthesis of other structured materials such as In2O3 nanorods112 and Sn2S2 nanosheets.113 Other relevant synthetic methods for the synthesis of bare NO2 photosensitive materials include chemical vapor deposition (CVD) and electrospinning, previously used for the formation of MoS2 2D multilayers114 and In2O3 nanowires,58 respectively.
The scenario of synthetic methods for the nanostructured composites described in this review frequently involves procedures with one or more steps. Among the one-step procedures, the sol–gel method has shown effectiveness in producing ZnO nanocrystal-coated MoS2 sheets126 and TiO2 nanoparticle modified graphene sheets.68 Other one-step procedures involve the self-assembly crystallization method to form Pt-decorated ZnO nanowires,127 the seeded growth assisted method to form ZnO nanorods functionalized with Pd nanoparticles,62 and chemical precipitation for achieving Au nanoparticle decorated MoS2 thin films.39 Hydrothermal methods also showed feasibility for the one-step synthesis of composites with a variety of morphologies, for example, ZnO–silk fibroin nanomaterials in the form of nanoparticles or micro-blocks,132 hexagonal 2D SnS2 flakes to decorate rGO,70 and polystyrene sulfonate (PSS) functionalized ZnO nanowires.131 The two-step procedure for the synthesis of composites has also provided a wide variety of materials and morphologies. For instance, a two-step process in which GaN wires were synthesized by stepper lithography and functionalized with TiO2 nanoclusters by magnetron sputtering was successfully implemented to attain GaN–TiO2 interfaces.128 Along the same line, reduced graphene oxide (rGO) was synthesized by a modified Hummers’ method and functionalized with SnO2 porous hollow nanofibers obtained by the electrospinning–calcination process.69 Also, WO3–GO composite films were formed by WO3 porous nanostructures synthesized via solution precursor plasma spray (SPPS) in the first step and graphene oxide films processed by Hummers’ method in the second step.133
The variety of methods for achieving photoactive NO2 sensing materials is evident from the survey above and Table 4, as well as the recurrence of methods based on wet-chemistry, particularly those based on hydrothermal reactions. The main rationale for this generally is connected with the simplicity of these methods as compared to others, which require further infrastructure (vacuum systems, high temperatures, or reactants in the gas-phase).137 Another reason for the success of wet-chemistry-based methods is associated with their flexible procedure that allows for one-step or two-step synthesis of composites. On the other hand, the survey also evidences a less explored area of methods with higher compatibility in microelectronic fabrication (e.g., CVD and PVD) and higher projection for the on-chip integration of these materials in sensory systems that need to be explored further.
In this context, external light sources based on solid-state technology such as LEDs have demonstrated significant technological advantages and great progress in the past few years, particularly in terms of light intensity, efficiency, power consumption, and wavelength variability.144 These facts contribute to displacing the use of conventional lamps not only in chemical sensors, but also in other applications, including households, the automotive industry, the food industry, medicine, and water pollutant removal.145–147 Indeed, the possibility of integrating one or more LED sources in a monolithic chip on a large scale has resulted in cost reduction. This opened the opportunity to build a variety of light-based elements and systems, for instance, full-visible-spectrum LED lighting sources,148 multichip array LED modules,149,150 and OLED systems utilizing flexible substrates.151,152 In recent years, the development of LED modules generally based on gallium nitride (GaN) has reached outstanding performance, and besides LED light sources working in the visible spectrum, a considerable technological improvement in terms of reliability and luminous efficacy has been reached for LEDs in the UV region.16,143,144 This is significant for gas sensing as the higher energy of emitted photons from UV sources increases the possibility of overcoming wide band gap semiconductors to generate electron–hole pairs that activate the sensing material.16 The future perspectives in LED technology still put faith in the optimization of blue/violet light, and UV light LED sources in the wavelength range below 400 nm.143,153 The efforts in this area generally focus on improving parameters such as external quantum efficiency (EQE), wall-plug efficiency (WPE), and light-extraction efficiency (LEE), and controlling the temperature of the substrate carrier, including the die and package, respectively.143,149,154 These improvements are mostly based on new approaches of growing GaN structures, such as nanostructure growth using pre-patterned AlN/Si templates,155 and/or advanced materials, which showed promising reliability for LED encapsulation, for example, a p-BVE-based polymer terminated with –CF3 ends.149,150,156 The most promising aspirants to access the wavelength in the UVA, UVB, or UVC spectrum (deep ultraviolet, DUV) exploit the performance of aluminum gallium nitride (AlGaN) based LEDs.149,157 These light sources show potential for their integration into miniaturized photoactivated gas sensors; however, they are still expensive and less effective, compared to their GaN/InGaN-based LED counterparts emitting in the visible spectrum.158 This is why the few reports related to on-chip integration of micro light sources for chemical sensors or other applications in the literature refer to light wavelengths above 360 nm. A summary of integrated microscopic light sources used in gas sensors or other close applications is displayed in Table 5.
Light source material | Morphology | Substrate carrier | Light source type | Spectrum | λ (nm) | Ref. |
---|---|---|---|---|---|---|
N/A: data not available (commercial LED), LED: light-emitting diode, VCSEL: vertical cavity surface emitting laser, λ: wavelength, Vis: visible light, UVA: Ultraviolet A, NIR: near infrared. | ||||||
Gas photoactivated sensors | ||||||
GaN | Thin layers | Sapphire | LED | Vis | 455 | 159 |
GaN | Thin layers | Sapphire | LED | UVA | 390 | 160 |
N/A | Nanowires | Glass | LED | UVA | 365 | 161 |
Other types of sensors | ||||||
GaN | Nanowires | GaN | LED | Vis | 465 | 162 |
GaAs | Thin layers | PET | VCSEL | NIR | 850 | 163 |
Other on-chip integrated microlights | ||||||
GaN | Nanorods | AlN/Si | LED | Vis | — | 155 |
GaN | Thin layers | Sapphire | LED | Vis | 450 | 164 |
GaN | Core–shell nanowires | c-Sapphire | LED | UVA/Vis | 360–410 | 165 |
GaN | Thin layers | Polyimide | LED | Vis | 400–460 | 166 |
Certainly, the advances in on-chip integration of sensing elements and light sources have brought about new photoactivated sensors containing customized and optimized microscopic light sources. Recent examples of such integration for gas sensing applications proved the feasibility of this approach in terms of fabrication and optimization of light parameters for the photoactivated response of ZnO particles and nanowires to NO2 (Table 5 and Fig. 6).159,160 The authors of these studies noticed that the micro light plates provided a less dependent light source performance to the gas sensing system compared to other systems using external ‘macroscopic’ light sources, which hardly provide efficient (i) irradiance, (ii) power management, and (iii) reproducibility in the test. The improvements in micro light plates for gas sensing were mainly attributed to the increment of irradiation efficiency caused by the minimization of the space between the sensitive material and the light source. These characteristics, moreover, allowed for reducing the size and the power consumption of the system from mW to μW.19,159 A similar concept, although using commercial LED dies (365 nm), was also employed in the past to explore the photoactivity of ZnO NWs towards ethanol and humidity.161 For comparative purposes, it is worth noting that MEMS-based thermoactivated sensors (so-called micro hot plates) show average power consumption in the order of tens of mW.18
Fig. 6 Illustration of a nanowire-based sensor with an integrated microscopic light source: (a) top view and (b) cross-sectional view. Optical microscopy images of the electrodes and microlight plate area (c–e) before and (f) after excitation of the LED. (g) SEM images of the gas-sensitive structures integrated over the microlight plate. Reprinted (adapted) from ref. 160, with permission from the American Chemical Society, 2020. |
Other types of integrated light sources in the visible spectrum for sensing applications have also been proposed previously, for instance, using vertical GaN-based nanowires. These structures showed potential for future 3D nano-LED arrays that could be valuable for building chemical sensors.162 Previous studies have also shown the integration of light sources into flexible substrates for optofluidic fluorescent sensors.163 These systems used microscale vertical cavity surface-emitting lasers (micro-VCSELs) with silicon photodiodes to achieve near-infrared light emitters. Authors reported the opto-mechanical properties of these flexible systems. Table 5 also shows other examples of on-chip integrated light sources.155,164–166 Among them, the new type of LED consisting of organic compound-based films that emit light in response to an electric current (OLED) is gaining interest in the field. This technology is younger than its more established LED counterparts, but it has reached significant progress in the past few years, especially in the near UV wavelength range,167 and could bring further advances in the on-chip integration of light sources for chemical sensors. Currently, the continuous improvements in OLEDs focus on achieving better EQEs in the UV-A range,168 better lifetimes, and emissions in the UVB and UVC wavelength regions.
Overall, future research on gas-sensitive photoactive materials needs to deepen into the experimental and computational design of interfaces, doping levels, and defects of the composite materials, rescuing and extrapolating the knowledge from other close areas such as photocatalysis and photonics. This, with the objective of bringing earth-abundant material combinations capable of delivering a photoactive response in the visible part of the solar spectrum to impact the power consumption and integration of multisensory systems positively. The availability of multisensory systems containing different photosensitive materials and/or activating lights could open the possibility for multivariable analysis and the use of pattern recognition concepts that are eventually essential to boost selectivity and pave the way for the applicability of these systems.
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