Aspects of this technology are described in the article “Engineering the depletion layer of Au-modified ZnO/Ag core-shell films for high-performance acetone gas sensing” published in Sensors & Actuators B. Chemical, 2021, 129851, available on Mar. 26, 2021, which is incorporated herein by reference in its entirety.
The present disclosure relates to a gas sensor, a method of forming the gas sensor, and a method of sensing the presence of a ketone in a gas sample using the gas sensor.
The “background” description provided herein is for the purpose of generally presenting the context of the disclosure. Work of the presently named inventors, to the extent it is described in this background section, as well as aspects of the description which may not otherwise qualify as prior art at the time of filing, are neither expressly nor impliedly admitted as prior art against the present invention.
There currently exists a great need to develop simple, fast, sensitive, inexpensive, and non-invasive sensors for the accurate detection of harmful gases. Such gases may represent hazards present in the environment or an enclosed space or be indicative of diseases or disorders, particularly respiratory or oral diseases. Diagnosis through analysis of human exhaled breath offers a simple, inexpensive, non-invasive, low cost, and rapid detection.
A typical exhaled human breath comprises carbon dioxide, nitrogen, water, oxygen, and hundreds of other trace gases including ammonia and volatile organic compounds (VOCs), such as ethane, acetone, and isoprene [A. T. Güntner, et. al., ACS Sens., 2019, 4, 268-280; S. Jeong, et. al., Adv. Mater., 2020, 2002075; and W. M. Ahmed, et. al., ACS Infect. Dis., 2017, 3, 695-710]. Various diseases, disorders, and infections, such as lung cancer, asthma, diabetes, and the recent COVID-19 virus, have been correlated with changes in the trace gas makeup of human exhaled breath. For example, the acetone concentration differs in the breath of normal and diabetic patients. The presence of acetone in exhaled breath has been employed as a biomarker for diabetes mellitus. The level of acetone in diabetic patients ranges between 1.25 and 2.5 ppm, while in healthy people it is found to be between 0.2 and 1.8 ppm. Moreover, prolonged exposure to acetone has a negative impact. For instance, inhaling moderate to high levels of acetone can cause nausea, increased pulse rate, headaches, fatigue, and skin damage. In rare cases, prolonged exposure to acetone can damage vital human organs, such as the kidney, liver, and reproduction [A. Rydosz, J. Diabetes Sci. Technol., 2015, 9, 881-884]. Therefore, it is imperative to develop a fast, robust and inexpensive sensing method for routine acetone detection.
Different sensing techniques, such as optical sensors, electrochemical sensors, and acoustic waves, have been developed for acetone sensing [J. Wang, et. al., Sens. Actuators, B Chem., 2020, 321, 128489; M. Manjula, et. al., Appl. Phys. A Mater. Sci. Process., 2020, 126, 718; F. Nadeem, et. al., Sensors, 2018, 18, 2050; W. Liu, et. al., Sens. Actuators, B Chem., 2019, 298, 126871; I. C. Weber, et. al., Adv. Sci., 2020, 7, 2001503; and K. Xu, et. al., Opt. Mater. Express, 2019, 9]. Compared to these types of sensors, however, chemiresistive gas sensors based on semiconductors, noble metals, organic compounds, polymers, or their hybrids are a promising alternative route. In general, semiconductor metal oxides nanomaterials are advantageous for gas sensing applications because of low fabrication cost, non-toxicity, small dimension, dense surface site for gas adsorptions, and suitable operating temperature. A wide variety of preparation techniques, such as sol-gel, electrospinning, template-assisted growth, chemical vapor etc., have been used to obtain such nanostructures. However, most of these synthesis methods involve surfactants or templates for successive fabrication of semiconductor metal oxide nanostructures. Removal of organics from the structure is challenging and affects the reproducibility of analysis. Further, some semiconductor metal oxides suffer from disadvantageous electrical properties, making gas sensing difficult or inefficient. Since the gas must interact with the surface of a sensor, the depletion layer in the semiconductor plays a crucial role in determining the density of free electrons at the surface, and hence the sensor's performance. Therefore, modulation of the depletion layer may represent an avenue to improve the gas sensing properties of semiconductor metal oxide-based sensing materials.
Accordingly, it is an objective of the present disclosure to provide a semiconductor gas sensor with tailored surface electronic properties and a method of its fabrication.
The present disclosure relates to a gas sensor, comprising a substrate and an active material, comprising first noble metal nanoparticles disposed on the substrate, a zinc oxide layer disposed on the first noble metal nanoparticles and the substrate, and second noble metal nanoparticles disposed on the zinc oxide layer, wherein the zinc oxide layer prevents contact between the second noble metal nanoparticles and the first noble metal nanoparticles and between the second noble metal nanoparticles and the substrate.
In some embodiments, the first noble metal nanoparticles have a mean particle size of 50 to 300 nm.
In some embodiments, the first noble metal nanoparticles are silver nanoparticles.
In some embodiments, the zinc oxide layer has a thickness of 1 to 75 nm.
In some embodiments, the zinc oxide layer comprises wurtzite zinc oxide which is crystalline by PXRD.
In some embodiments, the second noble metal nanoparticles have a mean particle size of 25 to 250 nm.
In some embodiments, the second noble metal nanoparticles are gold nanoparticles.
In some embodiments, the active material has a band gap of 2.80 to 3.20 eV.
The present disclosure also relates to a method of forming the gas sensor, the method comprising sputtering a first film of a first noble metal onto the substrate to form a first film-comprising material, annealing the first film-comprising material to form the first noble metal nanoparticles, depositing the zinc oxide layer on the first noble metal nanoparticles by sputtering, sputtering a second film of a second noble metal onto the zinc oxide layer to form a second film-comprising material, and annealing the second film-comprising material to form the gas sensor.
In some embodiments, the first noble metal is silver.
In some embodiments, the second noble metal is gold.
In some embodiments, the first film has a thickness of 1 to 75 nm, and the second film has a thickness of 1 to 50 nm.
In some embodiments, the first film-comprising material is annealed at 450 to 650° C. under inert atmosphere.
In some embodiments, the second film-comprising material is annealed at 500 to 700° C. under inert atmosphere.
The present disclosure also relates to a method of detecting the presence of a ketone in a gas sample, the method comprising applying a voltage to the gas sensor, exposing the gas sample to the gas sensor, and detecting a change in the electrical properties of the gas sensor to determine whether a ketone is present or absent in the gas sample. In some embodiments, the ketone has a molecular weight of less than 300 g/mol.
In some embodiments, the ketone is acetone.
In some embodiments, the exposing is performed at 25 to 300° C.
In some embodiments, the method has a lower detection limit of 0.1 to 1 ppm of ketone.
In some embodiments, the method has a lower detection limit of 0.1 to 1 ppm of acetone.
In the following description, it is understood that other embodiments may be utilized and structural and operational changes may be made without departure from the scope of the present embodiments disclosed herein.
As used herein the words “a” and “an” and the like carry the meaning of “one or more.”
As used herein, the terms “optional” or “optionally” means that the subsequently described event(s) can or cannot occur or the subsequently described component(s) may or may not be present (e.g., 0 wt. %).
As used herein, the term “agglomerates” refers to a clustered particulate composition comprising primary particles, the primary particles being aggregated together in such a way so as to form clusters thereof, at least 50 volume percent of the clusters having a mean size that is at least 2 times the mean size of the primary particles, and preferably at least 90 volume percent of the clusters having a mean size that is at least 5 times the mean size of the primary particles.
As used herein, the term “noble metal” refers to a metallic element selected from the group consisting of gold, platinum, palladium, ruthenium, rhodium, osmium, silver, copper, mercury, rhenium, iridium, and alloys thereof. Examples of copper alloys include, but are not limited to gilding metal; Muntz metal; beryllium copper; nickel silver; cupronickel; Dunce metal; bronzes such as manganese bronze, tin bronze, leaded tin bronze, aluminum bronze, silicon bronze, phosphor bronze, commercial bronze, architectural bronze, mild bronze, bell metal, arsenical bronze, speculum metal, and cymbal alloy; and brasses such as Abyssinian gold, admiralty brass, Aich's alloy, aluminum brass, arsenical brass, cartridge brass, common brass, DZR brass, delta metal, free machining brass, high brass, leaded brass, low brass, manganese brass, naval brass, nickel brass, Nordic gold, drichalcum, Prince's metal, red brass (also known as gunmetal), tombac, silicon tombac, tonval brass, and yellow brass. Other exemplary alloys include gold alloys with copper and silver (colored gold, crown gold, electrum), gold alloys with rhodium (rhodite), gold alloys with copper (rose gold, tumbaga), gold alloys with nickel and palladium (white gold), gold alloys including the addition of platinum, manganese, aluminum, iron, indium and other appropriate elements or mixtures thereof, silver alloys with copper (shibuichi, sterling silver, Tibetan silver, Britannia silver), silver alloys with copper and gold (goloid), silver alloys with copper and germanium (argentium sterling silver), silver alloys with platinum (platinum sterling), silver alloys with copper (silver graphite), silver alloys including the addition of palladium, zinc, iridium, and tin and other appropriate elements or mixtures thereof, platinum alloys with gold, platinum alloys with cobalt, platinum alloys with rare earth elements, and platinum alloys with nickel.
According to a first aspect, the present disclosure relates to a gas sensor, comprising a substrate and an active material. The active material comprises first noble metal nanoparticles disposed on the substrate, a zinc oxide layer disposed on the first noble metal nanoparticles and on the substrate, and second noble metal nanoparticles disposed on the zinc oxide layer, wherein the zinc oxide layer prevents contact between the second noble metal nanoparticles and the first noble metal nanoparticles and between the second noble metal nanoparticles and the substrate.
In general, the first noble metal nanoparticles can be any shape known to one of ordinary skill in the art. Examples of suitable shapes the first noble metal nanoparticles may take include spheres, spheroids, lentoids, ovoids, solid polyhedra such as tetrahedra, cubes, octahedra, icosahedra, dodecahedra, hollow polyhedral (also known as nanocages), stellated polyhedral (both regular and irregular, also known as nanostars), triangular prisms (also known as nanotriangles), hollow spherical shells (also known as nanoshells), tubes (also known as nanotubes), nanosheets, nanoplatelets, nanodisks, rods (also known as nanorods), and mixtures thereof. In the case of nanorods, the rod shape may be defined by a ratio of a rod length to a rod width, the ratio being known as the aspect ratio. For first noble metal nanoparticles of the current invention, nanorods should have an aspect ratio less than 1000, preferably less than 750, preferably less than 500, preferably less than 250, preferably less than 100, preferably less than 75, preferably less than 50, preferably less than 25. Nanorods having an aspect ratio greater than 1000 are typically referred to as nanowires and are not a shape that the first noble metal nanoparticles are envisioned as having in any embodiments.
In some embodiments, the first noble metal nanoparticles have uniform shape. Alternatively, the shape may be non-uniform. As used herein, the term “uniform shape” refers to an average consistent shape that differs by no more than 10%, by no more than 5%, by no more than 4%, by no more than 3%, by no more than 2%, by no more than 1% of the distribution of first noble metal nanoparticles having a different shape. As used herein, the term “non-uniform shape” refers to an average consistent shape that differs by more than 10% of the distribution of first noble metal nanoparticles having a different shape. In one embodiment, the shape is uniform and at least 90% of the first noble metal nanoparticles are spherical or substantially circular, and less than 10% are polygonal. In another embodiment, the shape is non-uniform and less than 90% of the first noble metal nanoparticles are spherical or substantially circular, and greater than 10% are polygonal.
In some embodiments, the first noble metal nanoparticles have a mean particle size of 50 to 300 nm, preferably 55 to 287.5 nm, preferably 60 to 275 nm, preferably 65 to 262.5 nm, preferably 70 to 250 nm, preferably 75 to 237.5 nm, preferably 80 to 225 nm, preferably 85 to 212.5 nm, preferably 90 to 200 nm, preferably 95 to 187.5 nm, preferably 100 to 175 nm. In embodiments where the first noble metal nanoparticles are spherical, the particle size may refer to a particle diameter. In embodiments where the first noble metal nanoparticles are polyhedral, the particle size may refer to the diameter of a circumsphere. In some embodiments, the particle size refers to a mean distance from a particle surface to particle centroid or center of mass. In alternative embodiments, the particle size refers to a maximum distance from a particle surface to a particle centroid or center of mass. In some embodiments where the first noble metal nanoparticles have an anisotropic shape such as nanorods, the particle size may refer to a length of the nanorod, a width of the nanorod, an average of the length and width of the nanorod. In some embodiments in which the first noble metal nanoparticles have non-spherical shapes, the particle size refers to the diameter of a sphere having an equivalent volume as the particle. In some embodiments in which the first noble metal nanoparticles have non-spherical shapes, the particle size refers to the diameter of a sphere having an equivalent diffusion coefficient as the particle.
In some embodiments, the first noble metal nanoparticles of the present disclosure are monodisperse, having a coefficient of variation or relative standard deviation, expressed as a percentage and defined as the ratio of the particle size standard deviation (σ) to the particle size mean (μ) multiplied by 100 of less than 25%, preferably less than 10%, preferably less than 8%, preferably less than 6%, preferably less than 5%, preferably less than 4%, preferably less than 3%, preferably less than 2%. In some embodiments, the first noble metal nanoparticles of the present disclosure are monodisperse having a particle size distribution ranging from 80% of the average particle size to 120% of the average particle size, preferably 90-110%, preferably 95-105% of the average particle size. In some embodiments, the first noble metal nanoparticles are not monodisperse.
In general, the particle size may be determined by any suitable method known to one of ordinary skill in the art. In some embodiments, the particle size is determined by powder X-ray diffraction (PXRD). Using PXRD, the particle size may be determined using the Scherrer equation, which relates the full-width at half-maximum (FWHM) of diffraction peaks to the size of regions comprised of a single crystalline domain (known as crystallites) in the sample. In some embodiments, the crystallite size is the same as the particle size. For accurate particle size measurement by PXRD, the particles should be crystalline, comprise only a single crystal, and lack non-crystalline portions. Typically, the crystallite size underestimates particle size compared to other measures due to factors such as amorphous regions of particles, the inclusion of non-crystalline material on the surface of particles such as bulky surface ligands, and particles which may be composed of multiple crystalline domains. In some embodiments, the particle size is determined by dynamic light scattering (DLS). DLS is a technique which uses the time-dependent fluctuations in light scattered by particles in suspension or solution in a solvent, typically water to measure a size distribution of the particles. Due to the details of the DLS setup, the technique measures a hydrodynamic diameter of the particles, which is the diameter of a sphere with an equivalent diffusion coefficient as the particles. The hydrodynamic diameter may include factors not accounted for by other methods such as non-crystalline material on the surface of particles such as bulky surface ligands, amorphous regions of particles, and surface ligand-solvent interactions. Further, the hydrodynamic diameter may not accurately account for non-spherical particle shapes. DLS does have an advantage of being able to account for or more accurately model solution or suspension behavior of the particles compared to other techniques. In some embodiments, the particle size is determined by electron microscopy techniques such as scanning electron microscopy (SEM) or transmission electron microscopy (TEM).
In general, the shape description above may apply to the second noble metal nanoparticles. In some embodiments, the second noble metal nanoparticles have substantially the same shape as the first noble metal nanoparticles. In some embodiments, the second noble metal nanoparticles have a different shape from the first noble metal nanoparticles.
In some embodiments, the second noble metal nanoparticles have a mean particle size of 25 to 250 nm, preferably 30 to 225 nm, preferably 35 to 200 nm, preferably 40 to 175 nm, preferably 45 to 162.5 nm, preferably 50 to 150 nm, preferably 55 to 137.5 nm, preferably 60 to 125 nm, preferably 65 to 112.5 nm, preferably 70 to 100 nm. The particle size may be determined as described above.
In some embodiments, the second noble metal nanoparticles of the present disclosure are monodisperse, having a coefficient of variation or relative standard deviation, expressed as a percentage and defined as the ratio of the particle size standard deviation (a) to the particle size mean (0 multiplied by 100 of less than 25%, preferably less than 10%, preferably less than 8%, preferably less than 6%, preferably less than 5%, preferably less than 4%, preferably less than 3%, preferably less than 2%. In some embodiments, the second noble metal nanoparticles of the present disclosure are monodisperse having a particle size distribution ranging from 80% of the average particle size to 120% of the average particle size, preferably 90-110%, preferably 95-105% of the average particle size. In some embodiments, the second noble metal nanoparticles are not monodisperse.
In some embodiments, the first noble metal nanoparticles are formed from the same noble metal as the second noble metal nanoparticles. In preferred embodiments, the first noble metal nanoparticles are formed from a different noble metal as the second noble metal nanoparticles. For example, the first noble metal nanoparticles may be any noble metal as described above (gold, platinum, palladium, ruthenium, rhodium, osmium, silver, copper, mercury, rhenium, iridium, or an alloy thereof), and the second noble metal nanoparticles may be any other noble metal. Such a different noble metal may be a different alloy which comprises one or more noble metals in common, but which differs in terms of composition such as identity of other metals not in common or in the relative amounts of constituent metals. In some embodiments, the first noble metal nanoparticles are silver nanoparticles. In some embodiments, the second noble metal nanoparticles are gold nanoparticles. In preferred embodiments, the first noble metal nanoparticles are silver nanoparticles and the second noble metal nanoparticles are gold nanoparticles. In some embodiments, the first noble metal nanoparticles are crystalline by PXRD. In some embodiments, the second noble metal nanoparticles are crystalline by PXRD.
In some embodiments, the zinc oxide layer has a thickness of 1 to 75 nm, preferably 2 and 70 nm, preferably 3 and 65 nm, preferably 5 and 60 nm, preferably 7.5 and 55 nm, preferably 10 and 50 nm. In some embodiments, the zinc oxide layer comprises wurtzite zinc oxide which is crystalline by PXRD. In some embodiments, the zinc oxide is present in the zinc oxide layer as particles. Such particles may have a mean size of 1 to 75 nm, preferably 2 and 70 nm, preferably 3 and 65 nm, preferably 5 and 60 nm, preferably 7.5 and 55 nm, preferably 10 and 50 nm. Such particles may have a particle shape as described above. In some embodiments, the particles are present in the zinc oxide layer as agglomerates. In some embodiments, the agglomerates have a mean size of 1 to 75 nm, preferably 2 and 70 nm, preferably 3 and 65 nm, preferably 5 and 60 nm, preferably 7.5 and 55 nm, preferably 10 and 50 nm. In such embodiments, the agglomerates may have primary particles which have a mean particle size of 50%, preferably 45%, preferably 40%, preferably 35%, preferably 30%, preferably 25%, preferably 20%, preferably 15% of the agglomerate size.
In some embodiments, the active material has a band gap of 2.80 to 3.20 eV, preferably 2.85 to 3.175, preferably 2.90 to 3.15, preferably 2.95 to 3.125, preferably 3.0 to 3.1 eV.
The present disclosure also relates to a method of forming the gas sensor, the method comprising sputtering a first film of a first noble metal onto the substrate to form a first film-comprising material, annealing the first film-comprising material to form the first noble metal nanoparticles, depositing the zinc oxide layer on the first noble metal nanoparticles by sputtering, sputtering a second film of a second noble metal onto the zinc oxide layer to form a second film-comprising material, and annealing the second film-comprising material to form the gas sensor.
In some embodiments, the first film is deposited by DC sputtering. In some embodiments, the DC sputtering of the first film is performed with power of 10 to 50 W, preferably 15 to 45 W, preferably 20 to 40 W, preferably 25 to 35 W, preferably 27.5 to 32.5 W, preferably 30 W. In some embodiments, the second film is deposited by DC sputtering. In some embodiments, the DC sputtering of the second film is performed with a power of 5 to 35 W, preferably 10 to 30 W, preferably 12.5 to 27.5 W, preferably 15 to 25 W, preferably 17.5 to 22.5 W, preferably 20 W. In some embodiments, the zinc oxide layer is deposited by DC reactive sputtering.
In some embodiments, the first noble metal is the same noble metal as the second noble metal. In preferred embodiments, the first noble metal is a different noble metal as the second noble metal. For example, the first noble metal may be any noble metal as described above (gold, platinum, palladium, ruthenium, rhodium, osmium, silver, copper, mercury, rhenium, iridium, or an alloy thereof), and the second noble metal may be any other noble metal. Such a different noble metal may be a different alloy which comprises one or more noble metals in common, but which differs in terms of composition such as identity of other metals not in common or in the relative amounts of constituent metals. In some embodiments, the first noble metal is silver. In some embodiments, the second noble metal is gold. In preferred embodiments, the first noble metal is silver and the second noble metal is gold.
In some embodiments, the first film has a thickness of 1 to 75 nm, preferably 2 to 65 nm, preferably 3 to 55 nm, preferably 4 to 45 nm. In some embodiments, the second film has a thickness of 1 to 50 nm, preferably 2 to 40 nm, preferably 3 to 34 nm.
In some embodiments, the first film-comprising material is annealed at 450 to 650° C., preferably 460 to 640° C., preferably 470 to 630° C., preferably 480 to 620° C., preferably 490 to 610° C., preferably 500 to 600° C., preferably 510 to 590° C., preferably 520 to 580° C., preferably 530 to 570° C., preferably 540 to 560° C., preferably 550° C. In preferred embodiments, the first film-comprising material is annealed under inert atmosphere. Such an inter atmosphere may be provided by any suitable inert gas, such as nitrogen, helium, argon, neon, and the like.
In some embodiments, the second film-comprising material is annealed at 500 to 700° C., preferably 510 to 690° C., preferably 520 to 680° C., preferably 530 to 670° C., preferably 540 to 660° C., preferably 550 to 650° C., preferably 560 to 640° C., preferably 570 to 630° C., preferably 580 to 620° C., preferably 590 to 610° C., preferably 600° C. In preferred embodiments, the annealing is performed under inert atmosphere.
The present disclosure also relates to a method of detecting the presence of a ketone in a gas sample, the method comprising applying a voltage to the gas sensor, exposing the gas sample to the gas sensor, and detecting a change in the electrical properties of the gas sensor to determine whether a ketone is present or absent in the gas sample. In some embodiments, the change in the electrical properties of the gas sensor is a change in the resistance of the gas sensor. In some embodiments, the resistance is decreased in the presence of the ketone compared to in the absence of the ketone. In some embodiments, the resistance is increased in the presence of the ketone compared to in the absence of the ketone. In some embodiments, the presence of the ketone can be detected by a minimum change in the electrical properties. Such a minimum change may be referred to as a “threshold response”. That is, the change must be of a certain threshold magnitude to be considered a response which detects the presence of the ketone. In some embodiments, the threshold response is a change in the resistance of at least 40%, preferably at least 50%, preferably at least 60%, preferably at least 70%, preferably at least 80% of a resistance in the absence of the ketone.
In some embodiments, the method has a lower detection limit of 0.1 to 1 ppm, preferably 0.15 to 0.9 ppm, preferably 0.2 to 0.8 ppm, preferably 0.25 to 0.75 ppm, preferably 0.3 to 0.7 ppm, preferably 0.35 to 0.65 ppm, preferably 0.4 to 0.6 ppm, preferably 0.45 to 0.55 ppm, preferably 0.5 ppm of ketone. The lower detection limit refers to a minimum concentration of the ketone in the gas sample which causes a threshold response of the gas sensor. In some embodiments, the method has a maximum concentration of greater than 10,000 ppm, preferably greater than 7,500 ppm, preferably greater than 5,000 ppm, preferably greater than 2,500 ppm, preferably greater than 1,000 ppm, preferably greater than 750 ppm, preferably greater than 500 ppm, preferably greater than 250 ppm, preferably greater than 100 ppm of ketone.
In some embodiments, the ketone has a molecular weight of less than 300 g/mol. Examples of ketones having a molecular weight less than 300 g/mol include, but are not limited to acetone, 2-butanone, 2-pentanone, 3-pentanone, 2-hexanone, 3-hexanone, 2-heptanone, 3-heptanone, 2-octanone, 3-octanone, 4-octanone, cyclohexanone, acetophenone, 4-Phenylbutan-2-one, benzophenone, diacetyl, acetylacetone, cyclobutanone, muscone, chloroacetone, and camphor. The ketone may be a diketone. The diketone may be a 1,2-diketone, a 1,3-diketone, a 1,4-diketone, or any other suitable such diektone. In some embodiments, the ketone may have other, non-ketone functional groups present. Examples of such non-ketone functional groups include, but are not limited to other oxygen-containing functional groups, such as alcohol groups, carboxyl groups, and ether groups; nitrogen-containing functional groups such as amine groups, imine groups, and amide groups; alkene functional groups, alkyne functional groups; organohalide groups, and thiol groups. In some embodiments, the ketone is devoid of other oxygen-containing functional groups, such as alcohol groups, carboxyl groups, or ether groups. In some embodiments, the ketone is devoid of nitrogen-containing functional groups such as amine groups, imine groups, or amide groups. In some embodiments, the ketone is devoid of alkene or alkyne functional groups. In some embodiments, the ketone is devoid of organohalide functional groups. In some embodiments, the ketone is devoid of thiol functional groups.
In some embodiments, the ketone is acetone. In some embodiments, the method has a lower detection limit of 0.1 to 1 ppm, preferably 0.15 to 0.9 ppm, preferably 0.2 to 0.8 ppm, preferably 0.25 to 0.75 ppm, preferably 0.3 to 0.7 ppm, preferably 0.35 to 0.65 ppm, preferably 0.4 to 0.6 ppm, preferably 0.45 to 0.55 ppm, preferably 0.5 ppm of acetone. In some embodiments, the method has a maximum concentration of greater than 10,000 ppm, preferably greater than 7,500 ppm, preferably greater than 5,000 ppm, preferably greater than 2,500 ppm, preferably greater than 1,000 ppm, preferably greater than 750 ppm, preferably greater than 500 ppm, preferably greater than 250 ppm, preferably greater than 100 ppm of acetone.
In general, the exposing of the gas sample to the gas sensor may be performed in any suitable manner and with any suitable hardware known to one of ordinary skill in the art. For example, the gas sample may be flowed over the gas sensor. Such a flow may be at any suitable flow rate to achieve contact between the gas sample and the gas sensor. In some embodiments, the gas sample may be introduced into a chamber housing the gas sensor. Once introduced into the chamber, the gas sample may remain in the chamber without addition or removal of the gas sample for a measurement time. Throughout the measurement time, the gas sample may remain substantially static or may be agitated or stirred. In some embodiments, the gas sample is pre-treated prior to contact with the gas sensor. For example, the gas sample may be pre-heated, or may have one or more components removed, such as water vapor by passing the gas sample over a suitable drying agent.
In some embodiments, the gas sample comprises exhaled lung contents of an animal or human.
In some embodiments, the exposing is performed at 25 to 300° C., preferably 50 to 250° C., preferably 75 to 225° C., preferably 100 to 200° C., preferably 110 to 190° C., preferably 120 to 180° C., preferably 130 to 170° C., preferably 140 to 160° C., preferably 150° C.
In some embodiments, the method may include calculating a concentration of the ketone from the gas sample by using a magnitude of the changes in the electric current. Such changes may be caused by changes in the resistance of the gas sensor. The change in the resistance of the gas sensor may be due to interaction of the ketone with the gas sensor, particularly the second metal nanoparticles and/or the zinc oxide layer. This interaction may be any suitable type of interaction known to one of ordinary skill in the art. This interaction may be a specific chemisorption interaction which forms chemical bonds or involves a chemical reaction between the ketone and the gas sensor surface. Such bonds may be covalent or noncovalent. Alternatively, this interaction may be a physisorption interaction, for example electrostatic interactions such as ion (or charged species in general)-ion interactions, ion-dipole interactions, or dipole-dipole interactions; and Van der Waals interactions. Preferably, this interaction is reversible, allowing a desorption or other release of the ketone from the gas sensor. Preferably, this interaction does not permanently alter the chemical makeup or physical properties of the gas sensor after such desorption or release of the ketone from the gas sensor.
In some embodiments, the method shows a response (threshold change in the electrical properties of the gas sensor) only in the presence of a ketone. That is, the presence of other gases in the gas sample which are not a ketone do not cause a response in the gas sensor. Examples of such other gases which may be present which do not causes a response in the gas sample include, but are not limited to nitrogen, argon, helium, carbon dioxide, nitrogen dioxide, oxygen, hydrogen, ammonia, saturated hydrocarbons such as methane, ethane, propane, and butane, unsaturated hydrocarbons such as ethylene and acetylene, and water vapor. In this way, the presence of the ketone may be specifically detected by a response in the gas sensor.
The examples below are intended to further illustrate protocols for preparing and characterizing the gas sensor, as well as performing the method of detecting the presence of a ketone, and are not intended to limit the scope of the claims.
Where a numerical limit or range is stated herein, the endpoints are included. Also, all values and subranges within a numerical limit or range are specifically included as if explicitly written out.
Obviously, numerous modifications and variations of the present invention are possible in light of the above teachings. It is therefore to be understood that, within the scope of the appended claims, the invention may be practiced otherwise than as specifically described herein.
Synthesis of Ag nanoparticles (NPs) on the surface of the interdigitated electrodes (IDE) was carried out by DC sputtering. Prior to sputtering, the Ag target (ACI alloy, Inc) was cleaned by pre-sputtering for 2 min. The base pressure, working pressure, and deposition power were adjusted to 2.4×10−5 torr, 2.8×10−3 torr, and 30 W, respectively. Four sets of Ag films with varying film thickness, such as 4 nm, 11 nm, 24 nm, and 45 nm, were prepared on the IDE. The as-prepared Ag films were then heated at 550° C. in Linkam stage for 1 h under a nitrogen environment. The process produced a film with well-dispersed Ag NPs.
The as-prepared Ag films were used to obtain ZnO-on-Ag NP films. Preparation of ZnO-on-Ag NP films was carried out as follows. Zinc metal was converted into ZnO thin film by DC reactive sputtering and deposited on the surface of Ag NPs film. Prior to ZnO disposition, the base pressure of the sputtering chamber was adjusted to about 1×10−5 torr, while the working pressure and magnetron power were 4.6×10−3 torr, and 100 W, respectively. The thickness of the ZnO layers which include 3, 13, 29, 34, 46, and 61 nm, was fine-tuned by adjusting the deposition time between 2 and 40 min.
The as-obtained ZnO-on-Ag NP films were further modified with Au by DC sputtering. Like other targets, the Au target (ACI alloy, Inc) was cleaned by pre-sputtering for 2 min. The base and working pressures were kept at about 1.5×10−5 torr and 3.3×10−3 torr, respectively. In order to investigate the effect of Au NPs on the acetone gas sensing properties, ultrathin films of Au were deposited on the IDE using 20 W for 5, 15, 25, 35, 45 s. Like ZnO films, the Au films with varying thicknesses of 4, 11, 24, and 45 nm were obtained by changing the deposition time. The as-prepared Ag/ZnO/Au electrodes were then heated at 600° C. for 1 h in a tube furnace under nitrogen to convert the Au layer into well-dispersed Au NPs.
The as-fabricated electrodes, such as ZnO, Ag/ZnO, and Ag/ZnO/Au, were aged at 150° C. for 2 h to improve the stability of gas sensing material. The gas sensing properties were evaluated for various concentrations of acetone at different operating temperatures (RT to 300° C.). The change in electrical resistance, in the presence of acetone (Rg) and air (Ro), was followed by a semiconductor device analyzer (SDA; model Keysight B1500A, USA). The schematic of the gas sensing set-up used in this study is shown in
The crystal structures of the fabricated films were studied by powder X-ray diffraction (XRD, Rigaku MiniFlex) with Cu Kα radiation (λ=0.154178 nm) at 40 kV and 40 mA. A field-emission scanning electron microscope (FESEM, Tescan Lyra-3) was employed to examine the shape and size of the fabricated thin films. The surface compositions and the changes in binding states were investigated by X-ray Photoelectron Spectroscopy (XPS, ESCALAB250Xi, Thermo Fisher Scientific). Optical transmittance was determined by UV/Vis spectrophotometer (Jasco V-570, Japan) in the wavelength range of 300-1200 nm.
Surface chemical composition and oxidation state were examined by X-ray photoelectron spectroscopy (XPS). The survey spectra of ZnO thin film, ZnO-on-Ag NP film, and Au/ZnO/Ag along with fine scans of the elemental lines of the Au/ZnO/Ag sample are shown in
The optical properties of Ag film, Ag NPs, ZnO/Ag, and Au/ZnO/Ag film were characterized using UV-vis spectroscopy, and the obtained results are presented in
(ahv)n=A(hv−Eg) (2)
where α is the absorption coefficient calculated using the relation α=2.303/d, where d is the thickness of the film, A is a constant, h is the Planck's constant, and n is ½ for indirect bandgap and 2 for direct bandgap.
The sensing characteristic of chemiresistive gas sensors depends on several factors including preparation method and conditions, the materials which form the sensor, the working temperature, and the amount and the type of the noble metals.
45-90
[W. Guo, J. Mater. Sci. Mater. Electron., 2017, 28, 963-972; X. Xie, et. al., Ceram. Int., 2017, 43, 1121-1128; Y. Li, et. al., Sens. Actuators, B Chem., 2018, 273, 751-759; M. Hadiyan, et. al., J. Electroceramics., 2019, 42, 147-155; H. Du, et. al., ACS Appl. Mater. Interfaces, 2020, 12, 23084-23093; L. Van Duy, et. al., Mater. Today Commun., 2020, 25, 101445; W. Shi, et. al., Mater. Lett., 2020, 270, 127706; Y. Al-Hadeethi, et. al., Ceram. Int., 2017, 43, 6765-6770; M. Deshwal, & A. Arora, J. Mater. Sci. Mater. Electron., 2018, 29, 15315-15320; Y. H. Zhang, et. al., J. Phys. Chem. Solids, 2019, 124, 330-335; J. Huang, et. al., Sens. Actuators, B Chem., 2020, 310, 127129; and P. J. Cao, et. al., Appl. Surf. Sci., 2020, 518 146223, each of which is incorporated herein by reference in its entirety].
The basic principle of chemiresistive sensors is based on the electrical resistance change. When the surface of n-type metal oxides such as ZnO is surrounded by air, the atmospheric oxygen molecules tend to be adsorbed. This adsorption process is followed by the ionization of adsorbed oxygen molecules in the form of oxygen ions (O2−, O−, O−2), and the type of ion formation is driven by the working temperature [Q. A. Drmosh, et. al., Sens. Actuators, B Chem., 2019, 290, 666-675, incorporated herein by reference in its entirety]. The electrons move from semiconductor metal oxides to O2 molecules, creating a so-called “electron depletion region” at the interface. Such a depletion region is characterized by a low concentration of electrons in the n-type semiconductor, as depicted in
CH3COCH3(gas)+O2−→H2O(gas)+CO2(gas)+2e−
The thickness (width) of the depletion layer (W) is represented by the following equation:
where Ld, K, q, Vs and T are the Debye length, Boltzmann constant, elementary charge, band bending, and operating temperature, respectively. The thickness of the depletion layer can be influenced by different factors, such as the preparation method, polymorphic forms, doping, decoration, and the shell layer [J. Liu, et. al., Appl. Phys. A Mater. Sci. Process., 2016, 122 1-7; C. C. Li, et. al., Appl. Phys. Lett., 2007, 91, 032101, each of which is incorporated herein by reference in its entirety]. A sensing layer thinner than Ld results in a layer that is fully electrically depleted. On the contrary, the charge carriers will be mostly restricted in the sensing layer if the thickness of the sensing layer is thicker or equal to the Ld. Based on the reported carrier concentration of ZnO, the Debye length of ZnO is calculated to be 15 nm [E. Wongrat, et. al., Sens. Actuators, B Chem., 2012, 171-172, 230-237, incorporated herein by reference in its entirety]. Hence, the thickness of the ZnO layer (3 and 13 nm) is less than the Debye length of ZnO, resulting in the full electron depletion of ZnO. However, ZnO having 3 nm thickness showed a very high electrical resistance presumably due to the formation of ZnO islands rather than a continuous layer. As a result, the ZnO with 3 nm layer thickness exhibited a significantly lower response as compared to the ZnO with 13 nm layer thickness, which showed the maximum response (see
The remarkable enhancement in the acetone sensing performance of the Au/ZnO/Ag sensors is interpreted as follows: First, Au is a chemical sensitizer capable of providing more adsorbed oxygen molecules onto ZnO/Ag core-shell through the spillover effect. The larger amount of adsorbed oxygen species can serve as more reaction sites for acetone available on the Au/ZnO/Ag surface, thereby exhibiting a higher response. Second, double activation of the optimum thickness of ZnO layer resulted in thicker depletion region in air and thinner in acetone environment which contributes significantly to the improved acetone sensing properties of Au/ZnO/Ag sensor. Furthermore, the higher surface area of the Au/ZnO/Ag film compared with that of ZnO film provides abundant active sites, which in turn lead to promote the gas diffusion and absorption on the ZnO surface.