ISSN : 0970 - 020X, ONLINE ISSN : 2231-5039
     FacebookTwitterLinkedinMendeley

Transition Metals Ni2+, Fe3+ Incorporated Modified Zno Thick Film Sensors to Monitor the Environmental and Industrial Pollutant Gases

Ravindra Haribhau Waghchaure1,2*, Prashant bhimrao Koli3, Vishnu Ashok Adole4, Bapusonu Jagdale4 and Thansing bhavsing Pawar1

1Research Centre in Chemistry, LokneteVyankatraoHiray Arts, Science and Commerce College Panchavati, Nashik-422003, India.

2Department of Chemistry, Mahant Jamanadas Maharaj Arts, Commerce and Science College, Karanjali, Taluka-Peth, District- Nashik, India-422 208.

3Department of Chemistry, Arts, Commerce and Science College, Nandgaon, Taluka-Nandgaon, District- Nashik, India-423106.

4Department of Chemistry, Arts, Science and Commerce College, Manmad, Taluka-Nandgaon, District- Nashik, India-423104.

Corresponding Author E-mail: waghchaureravindra86@gmail.com

DOI : http://dx.doi.org/10.13005/ojc/360607

Article Publishing History
Article Received on : 30-10-2020
Article Accepted on :
Article Published : 30 Dec 2020
Article Metrics
ABSTRACT:

Zinc oxide is known as multifaceted material due to its special physical and chemical properties. Present research deals with the fabrication of undopedZnO, 1.5% Fe3+ doped ZnO, and 1.5% Ni2+ doped ZnOnanoparticles by low-cost co-precipitation method. These prepared materials were utilized to prepare thick film sensorsby employing a screen printing technique.The structuralconfirmations of these materials wereperformed by various nano-characterization techniques. The structural properties were investigated by XRD to confirm the nanoscaleZnO as well as the average crystal dimensions. The surface morphological properties of undoped and modified ZnO wereanalyzedby SEM and TEM methods. The average volume pores over prepared materials and surface area were concluded from the N2 adsorption-desorption experiment (BET analysis). The Fe3+ doped ZnO has the highest surface area among all the prepared sensors i.e. 23.55 m²/g. The Fe3+ doped ZnO and Ni2+ZnOnanomaterials were observed to show declined band gaps in comparison to the undoped ZnO material. All the prepared sensors were employed for the gas sensing study of gases like NH3, LPG, formaldehyde vapors, toluene vapors, CO, CO2, and NO2. The CO2 and NH3vapors found to be very sensitive towards Fe3+ doped ZnO with 76.62% and 76.58% sensitivity respectively. TheNi2+ doped ZnO sensor sensitivity for CO2 and NH3was recorded as71.20% and 70.23% respectively. The LPG, CH2O, and toluene vapors' sensitivity was also studied for the modified ZnO sensor. Besides, modified ZnO utilized as a relative humidity sensor with an RH variation of 10-90%. The impedance versus humidity curves recorded for all sensors.The Fe3+ doped ZnOnanomaterial at 10Hz was found to be an effective humidity sensor. Theresponse and recovery were found to be very rapid in Fe3+ doped ZnO for NH3, CO2, NO2, and LPGvapors.

KEYWORDS:

CO2, NO2, NH3 gas sensing; humidity sensor, BET, TEM: Modified ZnO sensor

Download this article as: 

Copy the following to cite this article:

Waghchaure R. H, Koli P. B, Adole V. A, Jagdale B, Pawar T. B. Transition metals Ni2+, Fe3+ incorporated modified ZnO thick film sensors to monitor the environmental and industrial pollutant gases. Orient J Chem 2020;36(6).


Copy the following to cite this URL:

Waghchaure R. H, Koli P. B, Adole V. A, Jagdale B, Pawar T. B. Transition metals Ni2+, Fe3+ incorporated modified ZnO thick film sensors to monitor the environmental and industrial pollutant gases. Orient J Chem 2020;36(6). Available from: https://bit.ly/2JFPjmU


Introduction

Nanotechnology is aproductive technology that has becomestandout in various scientific fields due to its wide range of applications[1-5]. Nanotechnology is diverse technology found to be very prominent in various fields of science and engineering technology. The amazing applications of nanomaterials are listed in various beneficial and scientific fields such as optoelectronics, gas sensing, batteries, solar cells, effluent treatment, organic synthesis and conversions, energy conversion, fuel technology, defense system, agriculture, medicinal, pharmaceutical sectors, biosensing, catalysis, water purification technology, adsorbent materials, electronics mechanical applications, etc.[6-26].

There is a huge increase in the pollution around the atmosphere due to increasing industrialization. There are plenty of side effects and health hazards due to the consumption of these toxic gases [27-30].The environmental safety has become a prime important thing in recent times [31-33]. Many incidents have been reported regarding toxic gas leakage and their severe side effects [34]. Thus, toxic gases evolved by industries must be detected in their threshold limit value (TLV).Most of the reports have been issued about the detection of toxic vapors/gases by the use of various semiconducting bases sensors [35-37]. The semiconducting metal oxides (SMO) based sensors found to be very promising materials for the sensing purpose of various gases [38-40]. Although there are plenty of SMO based sensors that have been designed as gas sensors in the form of thick or thin films,the zinc oxide semiconducting sensor is the most intensively reported gas sensor for a wide range of gas sensing applications. There are many advantages for choosing ZnO based sensors such as low-cost synthesis methods, no toxicity, high thermal stability, excellent catalyst performance, porous nature, good surface area, reproducible results, etc. Many methods have been accounted for the synthesis of zinc oxide nanoparticles, such as co-precipitation, sol-gel, spray pyrolysis, chemical vapour deposition, mechanical, hydrothermal, ultra sonication, microwave techniques, etc. [41-48].The properties like corrosion-resistivity, low electrical conductivity, antimicrobial activity, good heat resistance, mechanical stability, high catalytic activity, and its non-toxic nature make it unique amongst metal oxide nanoparticles.

Apart from sole semiconducting metal oxide as a sensing device, there are many new techniques by which a more useful sensing device could be designed. Nanocomposites,binary oxides, inner transition metal oxides (ITMO), CNT based sensors, graphene-based sensors, conducting polymers composites based sensors, C, N, S doped sensors, transition metal and non-metal doped sensors, and intrinsic conducting polymer-based sensors wereused for the sensing purpose of a large variety of gases [49-59]. Moreover, the transition metal-doped oxides are found to be very useful to design a high-quality sensor. According to the literature, the d-block metals dopant could decrease the bandgap in semiconducting metal oxide like ZnOand enhance their optical properties[60-62]. Zinc oxide nanomaterial occurs in different types of structures. The one-dimensional form includes nanorods, needles, belts, wires, etc., two-dimensional form includes nanosheets and the three-dimensional form includes flowers, snowflakes, etc. The zinc oxide material can exist in three types of crystal lattice; wurtzite, zinc blende, and rock salt. The thermodynamically most stable form is the wurtzite structure in which the zinc is co-ordinated with the four oxygen atoms in a tetrahedral shape.Most of the semiconducting metal oxides have bandgap in the range of 3.5-4eV by using the metal dopants the bandgapis reduced for the semiconducting metal oxides [63, 64]. In addition, many structural and electronic properties can be enhanced for most of the pure semiconducting materials[65, 66]. Hence transition metal doping is effectively utilized to modify many structural and electronic properties of the undoped materials.

There are many hazardous gases that evolved during the chemical processes, due to the burning of fuels, chemical reactions, petroleum refining,and automobile exhaust. These toxic gases are harmful to both the animals and plants. In many cases the severe breathing problems, respiratory infections, cyanosis, suffocation, dullness, skin and eyes irritation,and other severe damages to the environment and plants.In the present research,undoped and doped zinc oxide nanoparticles were prepared by the co-precipitation method and their thick films were prepared by the screen printing method. The prepared sensors were utilized to sense some of the hazardous gases such as CO, CO2, NO2, NH3, LPG, formaldehyde vapors, toluene vapors, and also for relative humidity. The main purpose of the doping transition metalsinto the ZnO lattice was to investigate comparative results between undoped ZnO and modified ZnO. The modified ZnO has porous nature, improved surface area, and declined band gap, hence operated as highly efficient sensors for NH3, CO2, NO2, LPG vapoursand relative humidity.

Materials and methods

All the chemicals used in the synthesis are of AR grade purchased from a local distributor, Nashik (Make: Sigma-Aldrich and SD fine) and were used without further purification. Chemicals used are Zn (NO3)2.6H2O, Fe (NO)3.9H2O, Ni(NO3)2.6H2O, NaOH and deionized water.

Synthesis of Zinc oxide by co-precipitation method

ZnO nanoparticles were synthesized by the co-precipitation method using zinc nitrate (Zn (NO3)2.6H2O) and NaOH as precursors. In the present method, an aqueous solution (0.02 M) of zinc nitrate was prepared with deionized water. This solution was stirred on a magnetic stirrer at room temperature for 30 minutes. After this, the solution was stirred at 80oC and 0.02 M NaOH was added dropwise over a period of 30minutes until pH=12. After the complete addition of NaOH, the solution turns turbid and was stirred at 80 oC further for 3 hours. Then it was subjected to ultrasound irradiation for a period of 30 minutes. The obtained off white product was centrifuged at 5000 rpm for 30 min and washed with deionized water, and ethanol. The obtained product was dried at 110 oC in an oven for 12 hours and then grinded using mortar-pestle. The finely grinded product was then calcined at 500°C in a muffle furnace for 3 hours to obtain zinc oxide nanoparticles.

Synthesis of Fe3+ doped zinc oxide and Ni2+doped Zinc oxide nanomaterials

Similar method which was used for the synthesis of undopedZnO is used for the synthesis of Fe3+ doped ZnO and Ni2+ doped ZnO materials. The 1.5 % mole concentration doping was carried out for incorporating Fe3+ and Ni2+.

Fabrication of thick film sensor of undoped ZnO nanoparticles

The thick film sensor of undopedZnOnanomaterial was prepared bythe screen printing method. Here the inorganic and organic proportion was sustaining 70:30 respectively. The inorganic part consists of undoped ZnO nanoparticles, while the organic segment consists of 8% BCA (Butyl Carbitol Acetate) and 92% ethyl cellulose. All these compounds weighed and diversified in mortar and pestle (clean and dried by acetone) for nearly 30 minutes To this mixture BCA was appended dropwise slowly to the above blend to obtain  the psedoplastic phase (thixotropic), to get a viscous paste. This pulp was then applied on previously cut glass substrate (2×2 cm), by the screen printing procedure. The polymer film of nylon (40 s, mesh number 355) was utilized for the screen printing technique. The standard mask size was developed on the shade by the photolithography technique. After complete coating, the films were dried at atmospheric temperature for 20 minutes, and then films were dried under an infra-red lamp for 30 minutes. Then these thick film sensors were calcined under muffle furnace at 450 oC for 3 hours. The undoped ZnO thick film sensors are now ready for characterization and further use.

Fabrication of thick film sensor of 1.5% Fe3+ doped ZnO and 1.5% Ni2+ doped ZnO nanoparticles

The thick film sensors of 1.5% Fe3+ doped ZnO and 1.5% Ni2+ doped ZnO nanoparticles prepared by a standard screen printing method. Here the inorganic and organic proportion was sustaining 70:30 respectively. The inorganic part consists of 1.5% Fe3+ doped ZnO and 1.5% Ni2+ doped ZnO nanoparticle while the organic segment consists of 8% BCA (Butyl Carbitol Acetate) and 92% ethyl cellulose. All these compounds weighed and diversified in mortar and pestle (cleaned and dried by acetone) for nearly 30 minutes To this mixture BCA was appended dropwise slowly to the above blend to obtain the psedoplastic phase (Thixotropic), to get a viscous paste. This pulp was then applied on previously cutted glass substrate (2×2 cm), by screen printing procedure. The polymer film of nylon (40 s, mesh number 355) was utilized for the screen printing technique. The standard mask size was developed on the shade by the photolithography technique. After complete coating, the films were dried at atmospheric temperature for 20 minutes, and then films were dried under infra-red lamp for 30 minutes. Then these thick film sensors were calcined under muffle furnace at 450 oC for 3 hours. The undoped ZnO thick film sensors are now ready for characterization and further use.

Thickness measurement of the films

The surface coating of the films was measured by using equation (1),the thickness of the undoped ZnO films was found to be 7.407 um (7407 nm), for 1.5 % Fe3+ doped ZnO,the thickness of the film was found to be 6.51μm (6510 nm), while thickness for 1.5 % Ni2+ doped ZnO observed to be 6.213 μm (6213 nm). The thickness of all the prepared sensors wasmeasured by mass difference method. The thickness of the film was found in the thick region.

t = ΔM / A ×ρ    ———————–equation (1)

ΔM = Mass difference of the film before and after deposition.

ρ = Composite density of undoped and doped zinc oxide (ZnO)

A= Area of the films

Results and discussion

X-ray diffraction (XRD)

The undoped ZnO, Fe3+doped ZnO, and Ni2+ZnO calcined at 500 ℃ were characterized by XRD, with model number D8 advance Bruker AXS GmbH (Germany).The films were analyzed at Room temperature with CuKα radiations (wavelength1.54 Å). The XRD spectrum as depicted in Figure 1a-c shows the formation of crystalline zinc oxide as per data obtained. The Braggs reflection peaks are attributed to the formation of ZnOhexagonallattice with crystal lattice and p63mc space group, having molecular weight 81.38 g/mole with a volume of lattice 47.62.The match scan data of ZnO shows the formation of crystalline ZnOnanoparticles with JCPDS number 00-036-1451. Diffraction peaks obtained are 31.79, 34.45, 36.28, 47.59,56.66,62.93,68.02, 69.18,72.66, 77.04 can be assigned to the reflection of (100), (002), (101), (102), (110), (103), (200), (112), (201), (202) planes.No additional peaks of any compound or impurity were observed in the XRD spectrum indicating that the prepared zinc oxide is pure. The diffraction peaks for Fe3+ doped ZnO and Ni2+ doped ZnO have nearly same two theta values in comparison to the undoped ZnO. Since the dopant concentration was not very sufficient to shift the two theta values largely. All the above-cited diffraction patterns confirm the formation of ZnO nanoparticles. The average particle size was calculated by using Debye- Scherer’s formula. [D = Kλ/β COS θ], where D is average particle size, K is constant (0.9 to 1), β is full-width half maxima (FWHM) of the diffracted peak, θ is the angle of diffraction. The average particle size for undoped zinc oxide was found to be 23 nm, for 1.5% doped Fe3+ it was 19 nm, and for 1.5 % Ni2+doped ZnO, it is found to 29nm.

Figure 1: (a) XRD spectrum of undoped ZnO thick films (b) XRD spectrum of 1.5 % Fe3+doped ZnO thick films. (c) XRD spectrum of 1.5 % Ni2+doped ZnO thick films

Click here to View figure

Field Emission Gun Scanning Electron Microscopy: (FEG-SEM)

The surface morphology, surface and porosity of the ZnOnano powder was affirmed from scanning electron microscopy.  Figure 2 a-f shows the SEM micrographs of undoped ZnO, 1.5% Fe3+’doped ZnO, and 1.5% Ni2+doped ZnO nanoparticles respectively.  The undoped ZnO is given in Figure 2 a-cdistinctly appearing with a hexagonal crystal lattice with heterogeneous structure alongside some void space over the cross section. The 1.5 % doped Fe3+ZnO nanoparticles images as depicted in Figure 2-b where the large voids/cavities are seen alongside the crystal lattice of ZnO. The 1.5% Ni2+ doped ZnO images are given inFigure 2-c. Here the flakes crystals of ZnO appeared in hexagonal shaped can be seen with the various dimensions. From the SEM pictures, it can be seen that the undoped and doped ZnO are exceptionally permeable with certain voids over the outside of the cross section. Normal permeable material is exceptionally valuable for the detecting component, as the permeable material gives straightforwardness to adsorb the gases/vapors yielding the more reaction for vaporous particle superficially through chemisorption and physisorption. In doped ZnO framing littler chunks of different nanosized nanoparticles, while in undoped ZnO the little estimated nanoparticles are exceptionally agglomerated to shape a heterogeneous cross section can be seen from SEM pictures.Overall, SEM images of all materials indicate that prepared materials have a good surface nature. All the gas sensing properties are surface properties, hence the interstitial voids present all over the surface of undoped and doped ZnO found to be effective for gas sensing phenomenon.

Figure 2: (a-b) SEM image of undoped ZnO (c-d) SEM image of 1.5 % Fe3+doped ZnO (e-f) SEM image of 1.5 % Ni2+doped ZnO

Click here to View figure

Energy dispersive spectroscopy (EDS)

The energy dispersive spectroscopy was utilized to investigate the elemental composition of prepared material ZnO, Fe3+ doped ZnO and Ni2+ doped ZnO. All prepared material is found in proper elemental composition as represented in Figure 3 a-c. In the EDS spectrum,the elements have appeared in their normal scale position.For instance, in all the EDS spectrum represented in Figure 3 a-c the elemental zinc is resolute at 8.5 KeV. The iron isresoluted at characteristic scale of 8.5 KeV and nickel is sharply resolved at 7.5 KeV scale. The elemental oxygen is resoluted at characteristic scale of 1.0 KeV in a very spectrum of undoped and doped ZnO depicted in Figure 3 a-c. Thus, the prepared materials undoped ZnO and doped ZnO are in proper elemental and weight composition. The composition of all these elements is tabulated in their EDS spectrum.

Figure 3: (a) EDS spectrum of undoped ZnO (b) EDS spectrum of 1.5 % Fe3+doped ZnO (c) EDS spectrum of 1.5 % Ni2+doped ZnO

Click here to View figure

Brunauer-Emmett-Teller (BET)

Brunauer-Emmett-Teller (BET) analysis was performed for undoped ZnO, Fe3+ doped ZnO and Ni2+ doped ZnO thick film sensors with the ease of nitrogen adsorption-desorption experiment. This experiment was utilized to seek the information of porous material, as well as pore size distribution over the catalyst/sensor surface since, all the sensors were utilized for the gas sensing phenomenon which is a surface property. Hence, the investigation of theavailable surface area for chemisorption or physisorption among adsorbate gas molecules and adsorbent sensors is a prime investigation for the gas sensing study. The data obtained from BET analysis i.e. surface area, pore volume/radius, pore size etc. is represented in Table 1. On the other hand, the BETanalysis via nitrogen adsorption-desorption experiment is represented in Figure 4 a-c. Among the six BET standard adsorption isotherm, the present isotherm represented in Figure 4 belongs to type –IV adsorption isotherm from BDDT system for BET analysis.

Table 1: BET N2 adsorption-desorption curves for undoped ZnO, 1.5 % Fe3+ doped ZnO1.5 % Ni2+doped ZnO

Prepared Material

Surface Area

(m²/g)

Pore volume

(cc/g)

Pore radius

(Å)

R2

Undoped ZnO

13.538

0.0380

104.71

0.9998

1.5%  Fe3+ doped  ZnO

23.552

0.0870

107.39

0.9998

1.5%  Ni2+ doped  ZnO

16.134

0.0316

104.68

0.9997

Figure 4: N2 adsorption-desorption curves for (a) undoped ZnO, b) 1.5 % Fe3+, doped ZnO (c) 1.5 % Ni2+ doped ZnO

Click here to View figure

High-resolution transmission electron microscopy (HR-TEM)

The crystal lattice of the modified ZnO material was investigated by means of high-resolution transmission electron microscopy as depicted in Figure 5 a-c with the resolution at 10 nm, 20 nm, and 50 nm respectively.Similarly, the image appeared in Figure 5d represents selected area diffraction pattern for the modified ZnO material.These bright spots can be assigned to the (h, k, l) planes of prepared material for the characteristic of prepared material. The bright spots that appeared in the SAED pattern constitute the crystalline nature of prepared material. Data obtained for 1.5% doped ZnO material implies formation hexagonal crystal lattice. The images a-c in Figure 5 justifies the prepared ZnO material with nearly hexagonal type lattice matches with reported literature. As well the TEM results obtained for the prepared material are found to be in good agreement with XRD data. Since X-ray diffraction data for the all prepared sensors proclaims the formation hexagonal crystal lattice.

Figure 5: (a-c) HR-TEM images of 1.5% Fe3+ doped ZnO sensor (d) SAED pattern for 1.5% Fe3+ doped ZnO sensor material

Click here to View figure

Electrical resistivity and temperature effect on undoped ZnO, 1.5 % Fe3+, doped ZnO and 1.5 % Ni2+ doped ZnO sensors

The electrical resistivity and consequence of elevated temperature on screen-printed thick film sensors of undopedZnO, Fe3+ doped ZnO and Ni2+ doped ZnOwere investigated to conclude about the semiconducting behavior of the sensors. The electrical characteristics and gas sensing properties of thick film sensors were investigated with regular potential divider experimental arrangements. Thick film sensors were mounted at the base of the gas assembly chamber in the sample section. In this section Cr-Al thermocouple fixed with the sensor cavity to sense the temperature across the sensors plates. The change in temperature was accessed digitally by temperature recorder with model number PEW-202/PEW-205 from a thermocouple attached to the sensor. The temperature was supplied across the film from 400 oC to 50 oC. The electrical resistance of all the films was measured in the existence of oxygen and without interruption of any other gases in the glass-domed shaped chamber with the regular set up as depicted in Figure 6.

Figure 6: Gas sensing model diagram utilized in present research

Click here to View figure

The effect of temperature on the prepared sensors can be seen in Figure 7 (a, c, e) here the resistance of the film sensor found to be very high at the commencing stage, but with an increment of temperature from 50 oC to 400 oC, the resistance found to be decreased steadily. The declined resistance is a result of expanding stream versatility of the charge moving or because of grid vibrations related to developing temperature. Where the molecules frequently approach adequate for the exchange the rate transporters and the conduction is started with the guide of cross-section vibration as shown in Figure 7 a-c. The effect of temperature and activation energy of the prepared thick film sensors was calculated using equation 2 from the plot of Log R versus 1/ T as shown in Figure 7 (b, d, f). During the effect of temperature on the prepared sensors, the cumulated resistivity exhibited by the sensors is an important parameter to conclude about the electrical behavior of the sensors. The total resistivity calculated by equation 3.

R = R0 e -ΔE/KT —————–equation (2)

R = Resistance varied at different temperatures, R0 = Resistance at 00C, ΔE/T = Variation of energy with temperature i.e. activation energy, ΔE = 2.303 * K * Slope (Calculated from graph), K= BoltzmannConstant (8.61733 X 10-5 eV.K-1)

ρ = R.b.t / L —————— equation (3)

ρ = Resistivity of the film, R = resistance at room temperature, b = breadth of film, t = thickness of the film, L = length of the film

Figure 7: (a) Variation of resistance with temperature for undoped ZnO (b) plot of 1/T versus log R for activation energy undoped ZnO (c) variation of resistance with temperature for 1.5 % Fe3+ doped ZnO (d) plot of 1/T versus log R for activation energy 1.5 % Fe3+ doped ZnO (e) variation of resistance with temperature for 1.5 % Ni2+ doped ZnO (f) plot of 1/T versus log R for activation energy 1.5 % Ni2+ doped ZnO

Click here to View figure

Table 2: Resistivity, activation energy and average grain size for undoped ZnO, 1.5%  Fe3+ doped ZnO and 1.5%  Ni2+ doped ZnO sensors

Thick film sensor

Grain Size

From XRD

( nm)

 

Resistivity

(Ω m)

 

Activation Energy

(eV)

L.T.

H.T.

Undoped ZnO

23

11.032 x 10 5

0.1674

0.2717

1.5%  Fe3+ doped  ZnO

19

6.265 x 10 3

0.1939

0.2513

1.5%  Ni2+ doped  ZnO

29

7.144 x 103

0.1825

0.2320

LT= High temperature, HT= High temperature

Gas sensing study of prepared sensors for selected gases

The gas sensing study for prepared thick film sensors was performed for some selected gases such as CO, CO2, NO2, NH3, LPG, formaldehyde vapors, and toluene vapors (TV). The entire gas sensing experiment was performed by using the homemade gas sensing assembly set up as depicted in Figure 6. The resistance of the thick film sensors was measured by using the half-bridge method. Here altering the resistance of the thick film sensor resulted in a change in voltage over definite resistance. The voltage over definite resistance, the particular resistance of the film is inter-convertible and can be calculated easily with the aid of Ohms law. The desired concentration of gas was introduced inside the gas chamber and the fixed DC voltage was applied to the film circuit. The film sensor resistance was monitored by digital output voltage millimetre with model number CIE Classic 5170. Every time the selected gas allowed introducing inside the dome-shaped glass chamber, the output voltage response between sensor circuit and gas was recorded with a millimetre.  The gas residue was cleaned by supplied fixed temperature inside the gas sensing assembly through the thermostat. The electrical resistance of thick film sensor in the existence of air (Ra) and presence of gas (Rg) was measured to estimate the % response or sensitivity by the sensor to tested gas, given by equation 4.

S% = Ra-Rg / Ra *100 —————–equation (4)

Gas sensing and electronic characteristics of prepared sensors

ZnO is widely used in semiconducting sensor material for a large category of gases. The estimated band gap range of ZnO is 3.4eV and it shows typical n-type semiconducting behavior. The n-type semi conduction is attributed to native defects or oxygen vacancies. The inherent carrier density of zinc oxide is found to be 106/cm-3 at a normal temperature. While it’s internal donor level is nearly 0.5-0.15 eV beneath the conduction band. According to reports its donation density at room temperature is approximately 10 17 /cm-3. The positive hole movement capacity is 5-50 cm2/(Vs), while the negative ion (electrons) mobility is 200 cm2/cm-3. All these electronic parameters make ZnO an excellent sensor to sense the wide category of gases. Here tripositive Fe and dispositive nickel is doped into the ZnO lattice. Due to the Fe3+ doping NTC (negative temperature coefficient), the character of ZnO is altered to PTC (positive temperature coefficient) since the tripositive iron impurity /dopant providing the additional holes for the conduction. While in the case of nickel doped zinc oxide, some of the Zn2+ ions may be replaced by the Ni2+ dopant concentration but its NTC character remains to conserve.

Sensitivity of undoped ZnO and modified ZnO for selected gases

The most important parameter of a particular gas sensor is the response given by the sensor to the selected or tested gas so that it can be designed for commercial purposes to get used at demanding places. Here for gas sensing study some of the selected environmental and industrial toxic gases were selected that are exhausted in various chemical processes. The gases like CO, CO2, NO2, NH3, LPG, formaldehyde vapors, and toluene vapors are toxic and selected for sensing purposes for the fabricated sensors in the present study. The optimum response recorded for these gases at different temperatures is listed in Table 3. The plot of % sensitivity against temperature is depicted in Figure 8a-c. Undoped ZnO is popularly used as a promising sensor for many common gases such as H2S, NH3, Methane, SO2, NO2, Cl2, acetone, ethanol, methanol, etc. Here we utilized the ZnO and modified ZnO to sense some highly toxic gas vapors like CO, CO2, NO2, NH3, LPG, Formaldehyde vapors and toluene vapors (TV). Out of these above-listed gases very rare reports have reported on gas sensing properties of LPG, formaldehyde vapors, and toluene vapors (TV). Here very interesting results have been investigated for these toxic gases and especiallyFe3+ doped ZnOwas found to be very sensitive for these gases. The detailed statistics about the gas sensing study are highlighted in Table 3. The most interesting results obtained for Fe3+/ZnO thick film sensor, here the response for the iron modified ZnO sensor for CO2 to be 76.62 % at 150oC and for NH3vapors response up to 76.58 % at 150 oC was observed for Fe3+/ZnO thick film sensor. Similarly for CO, LPG, NO2, CH2O, toluene vapors, the response by Fe3+ doped ZnO was found to be 68.59%, 65.12%, 70.12%, 35.12%, and 22.46% respectively. The interesting results for iron-doped ZnO are attributed to high surface area from BET analysis, declined bandgap of iron-doped ZnO in comparison to undoped ZnO, excellent porous nature of  Fe3+/ZnO thick film sensor which leads to highly efficient interaction between gases and surface-active sensor. The reduced bandgap in case of iron-doped ZnO, the conduction band of iron is close to the valence band of ZnO and hence the ease of electron transportation and redox mechanism is very rapid in case of iron-doped ZnO sensor surface amid the selected gases.

Table 3: Comparative chart for gas response in undoped ZnO, 1.5% Fe3+doepd ZnO and 1.5% Ni2+doepd ZnO at 100 ppm

Gas

(100 ppm)

 

% S undoped ZnO

Optimum sensing

Temperature (oC)

undoped ZnO

% S

Fe3+doped ZnO

Optimum sensing

Temperature (oC)

Fe3+doped ZnO

% S

Ni2+doped ZnO

Optimum sensing Temperature (oC)

Ni2+doped ZnO

CO

52.25

250

68.59

200

62.12

200

CO2

 

55.12

100

76.62

150

71.20

150

NO2

58.16

100

70.12

100

69.48

100

NH3

59.23

150

76.58

150

70.23

150

LPG

62.15

100

65.12

100

63.12

200

CH2O vapours

37.89

200

35.12

100

32.25

150

Toluene

Vapours

19.58

100

22.46

200

20.12

100

TV = Toluene vapours, CH2O = Formaldehyde, %S = Gas response, LPG = Liquefied petroleum gas

Figure 8: (a) % sensitivity of tested gases at optimum temperature for undoped ZnO, (b) % sensitivity of tested gases at optimum temperature for Fe3+doped ZnO, (c) % 


Click here to View figure

Selectivity of undoped ZnO and modified ZnO for selected gases

The selectivity by the sensor to particular gas is a prime parameter for the every sensor material. In Figure 9,the selectivity of all tested gases for fabricated thick film sensors is depicted. The selectivity of gases was computed by utilizing equation 5. From the data of calculation maximum selectivity was shown by bromine vapors.  The prepared sensors viz. Fe3+ doped ZnO and Ni2+ doped ZnO sensors showed selectivity 100 % for CO2 gas, and undoped ZnO showed 100% selectivity for LPG gas. The high selective gas after CO2 observed to be ammonia vapors, showed sensitivity for undoped ZnO was 95.30%, then Fe3+doepdZnO at 99.94 % and for Ni2+ doped ZnO showed selectivity for phosphine gas was 98.63 %. The selectivity by other toxic gases was CO, NO2, LPG, formaldehyde vapors and toluene vapors were also very high all the sensors. Previously the selectivity and sensitivity of toluene vapors, LPG, and formaldehyde vapors are very rarely reported for undoped and modified ZnO sensors. Percentage selectivity of all tested gases for prepared sensors is as depicted in Table 4.

% Selectivity = (S target gas / S High responding gas) * 100  ————— equation (5)

S other gas – sensitivity of films for target gas

S target gas– sensitivity for films for high responding gas

Table 4: Selectivity of prepared sensors for tested gases

 

Tested gases

% Selectivity for thick film sensors

Undoped ZnO

Fe3+doped ZnO

Ni2+doped ZnO

CO2

88.68

100

100

CO

84.07

89.51

87.24

NO2

93.58

91.51

97.58

NH3

95.30

99.94

98.63

LPG

100

84.99

88.65

CH2O vapours

60.96

45.83

45.29

TV

31.50

29.31

28.25

Figure 9: Selectivity for tested gases by undoped ZnO and modified ZnO sensors

Click here to View figure

Humidity sensing performance of undoped and modified ZnO sensors

In most of the important fields like the medicinal sector, food processing units, research and development laboratories, clinical trials, etc. relative humidity (RH) plays a vital role in maintaining good environmental conditions. Here prepared sensors utilized as humidity sensors in addition to gas sensors. There various types of humidity sensors, but ceramic types of sensors have an advantage due to small size, low-cost fabrication, and high stability. The elevated signal arises in ceramic category sensors mainly due to the adsorption of aqua molecules nearby in the atmosphere or on the exterior of the sensing device. The change in output electrical signal against the relative humidity % is as shown in Figure 10. It can be seen from Figure 10 the change in output electrical signal for relative humidity is showing considerable variation for prepared sensor Fe3+ doped ZnO at different operational frequencies like 10 Hz, 100 Hz 500 Hz. The signal sharply changes for iron-doped ZnO sensors for 10 to 90 % relative humidity at 10 Hz. It can be seen from figure 10 impedance rapidly declined more than three proportions when the relative humidity fluctuated from 10 to 90 % exhibits the highest response and best regression throughout the humidity scale. Therefore 10 Hz is the optimum operational range in this setup. The change in resistance against relative humidity is as shown in Figure 11. The highest response for iron-doped ZnO is can be seen from Figure 11.

Figure 10: Impedance verses relative humidity for prepared Fe3+ doped ZnO sensors at 10Hz

Click here to View figure

Figure 11: The humidity loops characteristic of prepared sensor measured at 10 Hz Response and Recovery

Click here to View figure

Response and Recovery

The response and recovery is an important parameter to design the sensor for a particular gas. In the present research best response was recorded for 1.5% Fe3+ ZnO sensor for bromine vapors, formaldehyde, ammonia, and toluene vapors. Hence response and recovery were conducted these four gases. For all these gases the response was recorded at 100 ppm gas concentration of each gas. The optimum response and recovery time for all the gases areas are mentioned in Table 5. As mentioned, the response and recovery rate was rapid for formaldehyde vapors and toluene vapors.

Table 5: Summary of response and recovery of tested gases for 1.5 % Fe3+ doped ZnO

Entry

Gas

Response %

Response time in seconds

Recovery  time in seconds

1

CO2

76.62

33

54

2

NO2

70.12

30

43

3

NH3

76.58

22

45

4

LPG

65.12

18

38

Figure 12: Response and recovery graphs of 1.5 % Fe3+ doped sensor for (a) Br2, (b) formaldehyde vapours (c) ammonia vapours (d) toluene vapours

Click here to View figure

Recycling ability of prepared sensors

The recycling performance of ZnO, 1.5% Fe3+ ZnO, and 1.5% Ni2+ ZnO sensors was tested for bromine vapors; formaldehyde, ammonia, and toluene vapor sensors. The recycling performance is one of the prime parameters for the sensor. For the productive functioning of the sensor, the response for particular gas must be reproducible. Hence recycling performance of the gases was investigated. All the gases were operated at 100 ppm concentration and all sensors were tested periodically at the time interval of 8 days for the selected gases. The graphs representing the recycling performance of tested gases are represented in Figure 13. After the repetition of every cycle for each gas, the percent response for each gas found declined with low variation. The observation concerning decrease in the response for each cycle after 8 days performance, the clarification could be give out to this decline is the lessening in the surface activity of the sensors. As these sensors oppressed as often as possible for the testing, the upper surface movement found to bring down due to uncovering of gas each time consequently its adsorption property brought down. In this manner, consistent abatement saw in the affectability reaction by these sensors.

Figure 13: Recycling performances of prepared sensors for  (a) CO2(b) NO2(c) NH3 (d) LPG

Click here to View figure

Comparison of prepared sensors

The prepared modified (Fe3+ doped ZnO) ZnO thick film sensor prepared by the screen printing method was compared with other zinc nanocomposites, transition metal-doped ZnO sensors, and ZnO based reported gas sensors and also other sensors. The iron modified ZnO catalyst used to sense the above-listed gas vapors and these modified sensors is found to be extraordinary for sensing these gases. In the present investigation modified ZnO catalyst is characterized by several properties. From this investigation, it is found that this catalyst has a considerable surface area and declined band in comparison to the undoped ZnO. Hence these modifications in structural and electronic properties construct the modified ZnO sensor different among the rest of the sensors to sense selected gases. The comparison of the tested gases for modified ZnO sensor and other reported ZnO based sensors is presented in Table 6.

Table 6: Comparative studies of carbon dioxide for modified ZnO sensor and reported sensors

Sensor

Method of Fabrication

Type of sensor

Sensing Temp.

(oC)

Gas in

ppm (CO2)

Reported Sensitivity

(%)

Reference

CuO

Cinterred ceramics

Thin Film

250

5000

48

67

Fe2O3

Spin coating

Thin film

20

20

        68

La2O3/SnO2

LPCVD

Thin film

350

1000

30

69

LaOC3

NW Coating

Thin film

400

4000

5

70

Cr3+,Co2+ doped LaFeO3

Spin coating

Thin film

100

500

50.17

8

MoO3:NiO

Hydrothermal

Thick

film

150

1000

87.7

71

SnO2-NiO/ZnO

RF-Sputtering

Thin

film

72

1.5% Fe3+ doped ZnO

Screen printing

Thick

film

150

100

76.62

Present

work

Conclusion

The undopedZnO, 1.5% Fe3+ doped ZnO, and 1.5% Ni2+ doped ZnO were prepared by the co-precipitation method, while thick films were fabricated with assists ofstandard screen-printed technique. These all sensors utilized for sensing of CO, CO2, NO2, NH3, LPG, formaldehyde vapors, and toluene vapor. The ZnO and modified ZnO very rarely utilized for sensing purposes of CO2, NH3, NO2, and LPG vapors. Among all three prepared sensors the Fe3+ doped ZnO sensor was found to be highly sensitive and selective for CO2, NH3, NO2 and LPG vapors, approximately 76.62%, 76.58%, 70.12 %, and 65.12 response was recorded at 150 oC, 150 oC, 100 oC, 100 oC respectively for each as 100 ppm. The Fe3+ doped ZnO sensors were also utilized as a humidity sensor and high humidity sense was recorded in comparison to the undoped ZnO and Ni2+ doped ZnO sensor. The high gas sensing performance of the Fe3+ doped ZnO sensor may be attributed to the high surface area, porous nature, and reduced band gap. In the additional study, all three sensors have excellent recycling performance for CO2, NO2, NH3, and LPG gases. The iron modified ZnO sensor has rapid response and recovery for CO2, NO2, NH3, and LPG gases. Thus, in comparison, it can be concluded the iron-doped ZnO sensor found to be exceptional sensor CO2, NO2, NH3, and LPG gases at moderate temperature as well a good sensor for relative humidity.

Acknowledgment

Authors gratefully acknowledge central instrumentation facility, Savitribai Phule Pune University, Pune and Kavayitri Bahinabai Chaudhari North Maharashtra University, Jalgaon for characterization of samples. Authors also would like to thank Lokenete Vyankatrao Hiray Arts, Science and Commerce College Panchavati, Nashik (India) and Mahant Jamnadas Maharaj Arts, Commerce and Science College Karanjali, Peth (India),Department of Chemistry, Arts, Science and Commerce College, Manmad, District-Nashik,and Department of Chemistry, Arts, Commerce and Science  College, Nandgaon, District-Nashik,for providing necessary research facilities.

Conflict of Interest

The authors declare no conflict of interest.

References

  1. Qu, X., Alvarez, P.J. Li, Q.: Applications of nanotechnology in water and wastewater treatment. Water Res. 47, 3931-3946 (2013)
    CrossRef
  2. Hussein, A. K.: Applications of nanotechnology to improve the performance of solar collectors–Recent advances and overview. Renewable Sustainable Energy Rev.62, 767-792 (2016)
    CrossRef
  3. Saeedi, M., Eslamifar, M., Khezri, K. Dizaj, S.M.: Applications of nanotechnology in drug delivery to the central nervous system. Biomed. Pharmacother. 111, 666-675 (2019)
    CrossRef
  4. Hussein, A. K.: Applications of nanotechnology in renewable energies—A comprehensive overview and understanding. Renewable Sustainable Energy Rev. 42, 460-476 (2015)
    CrossRef
  5. Singh, E., Joshi, N. D.,Sasode,S.,Chouhan, N.: Application of Nanotechnology in Agriculture. Biotica Research Today, 2,163-165 (2020)
  6. Wang, X.,Summers, C.J.,Wang, Z.L.:Large-scale hexagonal-patterned growth of aligned ZnOnanorods for nano-optoelectronics and nanosensor arrays. Nano Lett.4,423-426 (2004)
    CrossRef
  7. Koli, P. B.,Kapadnis, K. H.,Deshpande, U. G.: Nanocrystalline-modified nickel ferrite films: an effective sensor for industrial and environmental gas pollutant detection. J. Nanostruct. Chem. 9, 95-110 (2019)
    CrossRef
  8. Koli, P. B., Kapadnis, K. H., Deshpande, U. G., More, P. B.,Tupe, U. J.: Sol-Gel Fabricated Transition Metal Cr3+, Co2+ Doped Lanthanum Ferric Oxide (LFO-LaFeO3) Thin Film Sensors for the Detection of Toxic, Flammable Gases: A Comparative Study. Mater. Sci. Res. India 17, 70-83 (2020)
    CrossRef
  9. Wang, Y., Li, H., He, P., Hosono, E. and Zhou, H.: Nano active materials for lithium-ion batteries. Nanoscale, 2, 1294-1305 (2010)
    CrossRef
  10. Ding, K., Kirchartz, T., Bittkau, K., Lambertz, A., Smirnov, V., Hüpkes, J. Rau, U.: Photovoltaics: Nanoengineered Materials and Their Functionality in Solar Cells. Nanotechnol. Energy Sustainability 181-206 (2017)
    CrossRef
  11. Patil, M. R.,Shrivastava, V. S.: Adsorptive removal of methylene blue from aqueous solution by polyaniline-nickel ferrite nanocomposite: a kinetic approach. Desalin. Water Treat. 57, 5879-5887 (2016)
    CrossRef
  12. Patil, M. R., Khairnar, S. D.,Shrivastava, V. S.:Synthesis, characterisation of polyaniline–Fe3O4 magnetic nanocomposite and its application for removal of an acid violet 19 dye. Appl. Nanosci. 6, 495-502 (2016)
    CrossRef
  13. Adole, V. A.,Pawar, T. B.,Koli, P. B., Jagdale, B. S.: Exploration of catalytic performance of nano-La2O3 as an efficient catalyst for dihydropyrimidinone/thione synthesis and gas sensing. J. Nanostruct. Chem. 9, 61-76 (2019)
    CrossRef
  14. Ahmadi, M.H., Ghazvini, M., AlhuyiNazari, M., Ahmadi, M.A., Pourfayaz, F., Lorenzini, G., Ming, T.: Renewable energy harvesting with the application of nanotechnology: A review. Int. J. Energy Res.43, 1387-1410 (2019).
    CrossRef
  15. Abdalla, A.M., Hossain, S., Azad, A.T., Petra, P.M.I., Begum, F., Eriksson, S.G. Azad, A.K.: Nanomaterials for solid oxide fuel cells: a review. Renewable Sustainable Energy Rev.82, 353-368 (2018)
    CrossRef
  16. Ansari, M. I.,Julka, S.:Thakur, D. G.: Enhancement of surface properties with influence of bath pH on electroless Ni-P-ZnO/Al2O3nano-composite deposits for defence applications. J. Mol. Liq. 247, 22-33 (2017)
    CrossRef
  17. Dasgupta, N.,Ranjan, S.,Ramalingam, C.: Applications of nanotechnology in agriculture and water quality management. Environ. Chem. Lett.15, 591-605 (2017)
    CrossRef
  18. Singh, R.,Nalwa, H. S.: Medical applications of nanoparticles in biological imaging, cell labeling, antimicrobial agents, and anticancer nanodrugs. J. Biomed. Nanotechnol. 7, 489-503 (2011)
    CrossRef
  19. Robles-García, M.A., Rodríguez-Félix, F., Márquez-Ríos, E., Aguilar, J.A., Barrera-Rodríguez, A., Aguilar, J., Ruiz-Cruz, S. Del-Toro-Sánchez, C.L.: Applications of nanotechnology in the agriculture, food, and pharmaceuticals. J. Biomed. Nanotechnol. 16, 8188-8207 (2016)
    CrossRef
  20. Kim, J., Junkin, M., Kim, D.H., Kwon, S., Shin, Y.S., Wong, P.K. Gale, B.K.: Applications, techniques, and microfluidic interfacing for nanoscalebiosensing. Microfluid. Nanofluid. 7, 149-167 (2009)
    CrossRef
  21. Kung, H. H.,Kung, M. C.: Nanotechnology: applications and potentials for heterogeneous catalysis. Catal. Today 97, 219-224 (2004)
    CrossRef
  22. Qu, X., Alvarez, P. J.,Li, Q.: Applications of nanotechnology in water and wastewater treatment. Water Res. 47, 3931-3946 (2013)
    CrossRef
  23. Koli, P. B., Kapadnis, K. H., Deshpande, U. G.: Transition metal decorated Ferrosoferric oxide (Fe3O4): An expeditious catalyst for photodegradation of Carbol Fuchsin in environmental remediation. J. Environ. Chem. Eng. 7, 103373 (2019)
    CrossRef
  24. Koli, P. B., Kapadnis, K. H., Deshpande, U. G., Patil, M. R.: Fabrication and characterization of pure and modified Co3O4 nanocatalyst and their application for photocatalytic degradation of eosine blue dye: a comparative study. J. Nanostruct. Chem. 8, 453-463 (2018)
    CrossRef
  25. Linh, P.H., Manh, D.H., Lam, T.D., Hong, L.V., Phuc, N., Tuan, N., Ngoc, N. Tuan, V.: Magnetic nanoparticles: study of magnetic heating and adsorption/desorption for biomedical and environmental applications. Int. J. Nanotechnol. 8, 399-413 (2011)
    CrossRef
  26. Seidel, J.: Nanoelectronics based on topological structuresNat. Mater. 18, 188-190 (2019)
    CrossRef
  27. Shinde, V.S., Kapadnis, K.H., Sawant, C.P., Koli, P.B., Patil, R.P.: Screen Print Fabricated In3+ Decorated Perovskite Lanthanum Chromium Oxide (LaCrO3) Thick Film Sensors for Selective Detection of Volatile Petrol Vapors. J. Inorg. Organomet. Polym. Mater. 1-15 (2020).
    CrossRef
  28. D’amato, G., Environmental urban factors (air pollution and allergens) and the rising trends in allergic respiratory diseases. Allergy, 57, 30-33 (2002)
    CrossRef
  29. Calderón-Garcidueñas, L., Leray, E., Heydarpour, P., Torres-Jardón, R. Reis, J.: Air pollution, a rising environmental risk factor for cognition, neuroinflammation and neurodegeneration: the clinical impact on children and beyond. Rev. Neurol.172, 69-80 (2016)
    CrossRef
  30. Patella, V., Florio, G., Magliacane, D., Giuliano, A., Crivellaro, M.A., Di Bartolomeo, D., Genovese, A., Palmieri, M., Postiglione, A., Ridolo, E. Scaletti, C.: Urban air pollution and climate change:“The Decalogue: Allergy Safe Tree” for allergic and respiratory diseases care. Clin. Mol. Allergy. 16, 1-11 (2018)
    CrossRef
  31. Adole, V.A., Pawar, T.B., Jagdale, B.S.: Aqua‐mediated rapid and benign synthesis of 1,2,6,7‐tetrahydro‐8H‐indeno[5,4‐b]furan‐8‐one‐appended novel 2‐arylidene indanones of pharmacological interest at ambient temperature. J. Chin. Chem. Soc. 67,306-315 (2020).
    CrossRef
  32. Adole, V.A., Jagdale, B.S., Pawar, T.B., Sagane, A.A.: Ultrasound promoted stereoselective synthesis of 2,3-dihydrobenzofuran appended chalcones at ambient temperature. S. Afr. J. Chem. 73, 35-43.
    CrossRef
  33. Adole, V.A., Waghchaure, R.H., Pathade, S.S., Patil, M.R., Pawar, T.B.,
    Jagdale, B.S.: Solvent-free grindstone synthesis of four new (E)-7-(arylidene)-indanones and their structural, spectroscopic and quantum chemical study: a comprehensive theoretical and experimental exploration. Mol. Simul. 46, 1045-1054.
    CrossRef
  34. Mihailidou, E. K.,Antoniadis, K. D.,Assael, M. J.: The 319 major industrial accidents since 1917. Int. J. Chem. Eng. 4,529-540 (2012)
    CrossRef
  35. Zhu, L.,Zeng,W.: Room-temperature gas sensing of ZnO-based gas sensor: A review. Sens. Actuators, B 267, 242-261 (2017)
    CrossRef
  36. Dhawale, D. S.,Gujar, T. P.,Lokhande, C. D.: TiO2 nanorods decorated with Pd nanoparticles for enhanced liquefied petroleum gas sensing performance. Anal. Chem. 89, 8531-8537 (2017)
    CrossRef
  37. Umar, A., Alshahrani, A.A., Algarni, H. Kumar, R.: CuO nanosheets as potential scaffolds for gas sensing applications. Sens. Actuators, B 250, 24-31 (2017)
    CrossRef
  38. Li, Z., Li, H., Wu, Z., Wang, M., Luo, J., Torun, H., Hu, P., Yang, C., Grundmann, M., Liu, X. Fu, Y.: Advances in designs and mechanisms of semiconducting metal oxide nanostructures for high-precision gas sensors operated at room temperature. Mater. Horiz. 6, 470-506 (2019).
    CrossRef
  39. Balasubramani, V., Chandraleka, S., Rao, T.S., Sasikumar, R.,
    Kuppusamy, M.R. Sridhar, T.M.: Recent Advances in Electrochemical Impedance Spectroscopy Based Toxic Gas Sensors Using Semiconducting Metal Oxides. J. Electrochem. Soc., 167, 37572 (2020).
    CrossRef
  40. Song, Y.G., Kim, G.S., Ju, B.K. Kang, C.Y.: Design of Semiconducting Gas Sensors for Room-Temperature Operation. J. Sens. Technol. 29, 1-6 (2020).
    CrossRef
  41. Devi, P.G.,Velu, A.S.,Synthesis, structural and optical properties of pure ZnO and Co doped ZnO nanoparticles prepared by the co-precipitation method. J. Theor. Appl. Phys. 10, 233-240 (2016)
    CrossRef
  42. Hasnidawani, J.N., Azlina, H.N., Norita, H., Bonnia, N.N., Ratim, S. Ali, E.S.: Synthesis of ZnO nanostructures using sol-gel method. Procedia Chem. 19, 211-216 (2016)
    CrossRef
  43. Kulandaisamy, A.J., Reddy, J.R., Srinivasan, P., Babu, K.J., Mani, G.K., Shankar, P. Rayappan, J.B.B.: Room temperature ammonia sensing properties of ZnO thin films grown by spray pyrolysis: Effect of Mg doping. J. Alloys Compd. 688, 422-429 (2016)
    CrossRef
  44. Iwan, S., Zhao, J.L., Tan, S.T. Sun, X.W.: Enhancement of UV photoluminescence in ZnO tubes grown by metal organic chemical vapour deposition (MOCVD). Vacuum 155,408-411 (2018)
    CrossRef
  45. Das, B.K., Das, T., Parashar, K., Thirumurugan, A. Parashar, S.K.S.: Structural, bandgap tuning and electrical properties of Cu doped ZnO nanoparticles synthesized by mechanical alloying. J. Mater. Sci.: Mater. Electron. 28,15127-15134 (2017)
    CrossRef
  46. Jamshidi, M., Ghaedi, M., Dashtian, K., Hajati, S. Bazrafshan, A.A.: Sonochemical assisted hydrothermal synthesis of ZnO: Cr nanoparticles loaded activated carbon for simultaneous ultrasound-assisted adsorption of ternary toxic organic dye: derivative spectrophotometric, optimization, kinetic and isotherm study. Ultrason. Sonochem. 32, 119-131 (2016)
    CrossRef
  47. Alammar, A. T.,Mudring, V.:Facile ultrasound-assisted synthesis of ZnO nanorods in an ionic liquid. Mater. Lett. 63,732-735 (2009)
    CrossRef
  48. Kumar, V., Gohain, M., Som, S., Kumar, V., Bezuindenhoudt, B.C.B., Swart, H.C.: Microwave assisted synthesis of ZnO nanoparticles for lighting and dye removal application. Phys. B 480, 36-41 (2016)
    CrossRef
  49. Bhati, V.S., Hojamberdiev, M., Kumar, M.: Enhanced sensing performance of ZnO nanostructures-based gas sensors: A review. Energy Rep.6, 46-62 (2020).
    CrossRef
  50. Galatsis, K., Li, Y.X., Wlodarski, W., Comini, E., Sberveglieri, G., Cantalini, C., Santucci, S.,Passacantando, M.: Comparison of single and binary oxide MoO3, TiO2 and WO3 sol–gel gas sensors. Sens. Actuators, B 83,276-280 (2002)
    CrossRef
  51. Shinde, V.S., Sawant, C.P., Kapadnis, K.H.:Modified Sn-doped LaCrO3 nanostructures: focus on their characterization and applications as ethanol sensor at a lower temperature. J. Nanostruct. Chem. 9,231-245 (2019)
    CrossRef
  52. Alqarni, S.A., Hussein, M.A., Ganash, A.A., Khan, A.: Composite Material–Based Conducting Polymers for Electrochemical Sensor Applications: a Mini Review. BioNanoScience, 1-14 (2020).
    CrossRef
  53. Justino, C.I., Gomes, A.R., Freitas, A.C., Duarte, A.C., Rocha-Santos, T.A.: Graphene based sensors and biosensors. TrAC, Trends Anal. Chem. 91,53-66 (2017)
    CrossRef
  54. Kiani, M., Bagherzadeh, M., Meghdadi, S., Rabiee, N., Abbasi, A., Schenk-Joß, K., Tahriri, M., Tayebi, L., Webster, T.J.: Development of a novel carboxamide-based off–on switch fluorescence sensor: Hg2+, Zn2+ and Cd2+. New J. Chem.44, 11841-11852 (2020).
    CrossRef
  55. Wang, Y., Kim, S.H.,Feng, L.:Highly luminescent N, S-Co-doped carbon dots and their direct use as mercury (II) sensor. Anal. Chim. Acta 890,134-142 (2015)
    CrossRef
  56. Shen, J.Y., Zhang, L., Ren, J., Wang, J.C., Yao, H.C., Li, Z.J.: Highly enhanced acetone sensing performance of porous C-doped WO3 hollow spheres by carbon spheres as templates. Sens. Actuators, B 239,597-607 (2017)
    CrossRef
  57. Qu, J., Ge, Y., Zu, B., Li, Y., Dou, X.: Transition‐Metal‐Doped p‐Type ZnO Nanoparticle‐Based Sensory Array for Instant Discrimination of Explosive Vapors. Small 12,1369-1377 (2016)
    CrossRef
  58. Alam, M.M., Asiri, A.M., Uddin, M.T., Islam, M.A., Awual, M.R., Rahman, M.M.: Detection of uric acid based on doped ZnO/Ag2O/Co3O4 nanoparticle loaded glassy carbon electrode. New J. Chem. 43, 8651-8659 (2019).
    CrossRef
  59. Celiesiute, R., Ramanaviciene, A., Gicevicius, M., Ramanavicius, A.: Electrochromic sensors based on conducting polymers, metal oxides, and coordination complexes. Crit. Rev. Anal. Chem.49, 195-208 (2019).
    CrossRef
  60. Ueda, K.,Tabata, H.,Kawai, T.:Magnetic and electric properties of transition-metal-doped ZnO films. Appl. Phys. Lett. 79,988-990 (2001)
    CrossRef
  61. Ferhat, M.,Zaoui, A.,Ahuja, R.:Magnetism and band gap narrowing in Cu-doped ZnO. Appl. Phys. Lett. 94, 142502 (2009)
    CrossRef
  62. Saleh,R., Djaja, N.F.:Transition-metal-doped ZnO nanoparticles: synthesis, characterization and photocatalytic activity under UV light. Spectrochim. Acta, Part A 130,581-590 (2014)
    CrossRef
  63. Hasegawa, H., Kobayashi, K., Takahashi, Y., Harada, J. Inabe, T.: Effective band gap tuning by foreign metal doping in hybrid tin iodide perovskites. J. Mater. Chem. C 5(16), pp.4048-4052 (2017)
    CrossRef
  64. S Shinde, S.G., Patil, M.P., Kim, G.D., Shrivastava, V.S.:Multi-doped ZnO Photocatalyst for Solar Induced Degradation of Indigo Carmine Dye and as an Antimicrobial Agent. J. Inorg. Organomet. Polym. Mater. 1-12 (2019)
    CrossRef
  65. Ganesh, V., Yahia, I.S., AlFaify, S., Shkir, M.: Sn-doped ZnO nanocrystalline thin films with enhanced linear and nonlinear optical properties for optoelectronic applications. J. Phys. Chem. Solids 100,115-125 (2017)
    CrossRef
  66. Sharma, D., Jha, R., Transition metal (Co, Mn) co-doped ZnO nanoparticles: effect on structural and optical properties. Journal of Alloys and Compounds, 698, 532-538 (2017)
    CrossRef
  67. Chapelle, A.,Oudrhiri-Hassani, F.,Presmanes, L.,Barnabé, A.,Tailhades, P.:CO2 sensing properties of semiconducting copper oxide and spinel ferrite nanocomposite thin film. Appl. Surf. Sci.256,4715-4719 (2010)
    CrossRef
  68. Sonker, R.K.,Yadav, B.C.:Low temperature study of nanostructured Fe2O3 thin films as NO2 sensor. Mater. Today: Proc. 3,2315-2320 (2016)
    CrossRef
  69. Iwata, T., Matsuda, K., Takahashi, K., Sawada, K.: CO2 sensing characteristics of a La2O3/SnO2 stacked structure with micromachined hotplates. Sensors17, 2156 (2017)
    CrossRef
  70. Hong, H.S., Dai Lam, T., Trung, T., Van Hieu, N.: Selective detection of carbon dioxide using LaOCl-functionalized SnO2 nanowires for air-quality monitoring. Talanta 88, 152-159 (2012)
    CrossRef
  71. Manasa, M.V., Devi, G.S., Reddy, P.P.: Selective CO2 Gas Sensor via Noble Metal Functionalized Nano MoO3: NiO.Int. J. New Technol. Sci. Eng.5, 43-53 (2018)
    CrossRef
  72. Tanuma, R.,Sugiyama, M.: Polycrystalline SnO2 Visible‐Light‐Transparent CO2 Sensor Integrated with NiO/ZnO Solar Cell for Self‐Powered Devices. Phys. Status Solidi A216, 1800749-1800753 (2019)
    CrossRef


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

About The Author