A method through which a more rapid detection of Helicobacter pylori in a gaseous sample is practicable, in which the .sup.13C content is measured only until a minimum number of measurement values of the .sup.13C content meets a standard deviation to be specified. The known .sup.13C urea breath test has become established for clinical diagnosis for detecting Helicobacter pylori infections and known methods for detecting Helicobacter pylori provide that each method step corresponds to a fixed, specified time, which is disadvantageous, especially for performing a large number of such tests.

Systems and methods disclosed herein, in accordance with one or more embodiments provide for imaging gas in a scene, the scene having a background and a possible occurrence of gas. In one embodiment, a method and a system adapted to perform the method includes: controlling a thermal imaging system to capture a gas IR image representing the temperature of a gas and a background IR image representing the temperature of a background based on a predetermined absorption spectrum of the gas, on an estimated gas temperature and on an estimated background temperature; and generating a gas-absorption-path-length image, representing the length of the path of radiation from the background through the gas, based on the gas image and the background IR image. The system and method may include generating a gas visualization image based on the gas-absorption-path-length image to display an output image visualizing a gas occurrence in the scene.

Systems and methods disclosed herein, in accordance with one or more embodiments provide for imaging gas in a scene, the scene having a background and a possible occurrence of gas. In one embodiment, a method and a system adapted to perform the method includes: controlling a thermal imaging system to capture a gas IR image representing the temperature of a gas and a background IR image representing the temperature of a background based on a predetermined absorption spectrum of the gas, on an estimated gas temperature and on an estimated background temperature; and generating a gas-absorption-path-length image, representing the length of the path of radiation from the background through the gas, based on the gas image and the background IR image. The system and method may include generating a gas visualization image based on the gas-absorption-path-length image to display an output image visualizing a gas occurrence in the scene.

A control body is coupled or coupleable with a cartridge that is equipped with a heating element and contains an aerosol precursor composition, the control body and cartridge forming an aerosol delivery device. The control body includes a control component to control the heating element to activate and vaporize components of the aerosol precursor composition. The control body also includes a gas sensor configured to detect a presence of gas in an environment of the control body, and the gas sensor or control component are further configured to control operation of at least one functional element of the aerosol delivery device in response to the presence of gas so detected.

Disclosed herein are embodiments of sensor devices comprising a sensing component able to determine the presence of, detect, and/or quantify detectable species in a variety of environments and applications. The sensing components disclosed herein can comprise MOF materials, plasmonic nanomaterials, redox-active molecules, a metal, or any combinations thereof. In some exemplary embodiments, optical properties of the plasmonic nanomaterials and/or the redox-active molecules combined with MOF materials can be monitored directly to detect analyte species through their impact on external conditions surrounding the material or as a result of charge transfer to and from the plasmonic nanomaterial and/or the redox-active molecule as a result of interactions with the MOF material.

Disclosed herein are embodiments of sensor devices comprising a sensing component able to determine the presence of, detect, and/or quantify detectable species in a variety of environments and applications. The sensing components disclosed herein can comprise MOF materials, plasmonic nanomaterials, redox-active molecules, a metal, or any combinations thereof. In some exemplary embodiments, optical properties of the plasmonic nanomaterials and/or the redox-active molecules combined with MOF materials can be monitored directly to detect analyte species through their impact on external conditions surrounding the material or as a result of charge transfer to and from the plasmonic nanomaterial and/or the redox-active molecule as a result of interactions with the MOF material.

An instrument and method for analyzing a gas leak. The instrument can obtain a time series of spectra from a scene. The instrument can compare spectra from different times to determine a property of a gas cloud within the scene. The instrument can estimate the column density of the gas cloud at one or more locations within the scene. The instrument can estimate the total quantity of gas in the cloud. The instrument can estimate the amount of gas which has left the field of view of the instrument. The instrument can also estimate the amount of gas in the cloud which has dropped below the sensitivity limit of the instrument.

An instrument and method for analyzing a gas leak. The instrument can obtain a time series of spectra from a scene. The instrument can compare spectra from different times to determine a property of a gas cloud within the scene. The instrument can estimate the column density of the gas cloud at one or more locations within the scene. The instrument can estimate the total quantity of gas in the cloud. The instrument can estimate the amount of gas which has left the field of view of the instrument. The instrument can also estimate the amount of gas in the cloud which has dropped below the sensitivity limit of the instrument.

A method for determining a measure of a gas concentration from a group of at least two non- dispersive infrared, NDIR, gas sensors (S1-SN) is described. The method comprises the steps of obtaining, at a processing unit (1), from each NDIR gas sensor (S1-SN) a measure of a gas concentration as a belief function Pi(x), which provides a probability as a function of the sensed light intensity at a specific wavelength, merging, in the processing unit, the belief functions Pi(x) to a merged belief function P(x). A computer program performing the method is also described.

A method for determining a measure of a gas concentration from a group of at least two non- dispersive infrared, NDIR, gas sensors (S1-SN) is described. The method comprises the steps of obtaining, at a processing unit (1), from each NDIR gas sensor (S1-SN) a measure of a gas concentration as a belief function Pi(x), which provides a probability as a function of the sensed light intensity at a specific wavelength, merging, in the processing unit, the belief functions Pi(x) to a merged belief function P(x). A computer program performing the method is also described.