An arrangement for measuring gas concentrations in a gas absorption method, wherein the arrangement includes a plurality of light sources, a measuring cell, at least one measuring receiver and an evaluation apparatus. The measuring cell has a narrow, longitudinally-extended beam path with an entrance-side opening diameter B and an absorption length L with L>B, wherein the measuring cell has a gas inlet and a gas outlet wherein a plurality of light sources of different wavelength spectra is grouped into a first light source group wherein an optical homogeniser is interposed between the first light source group and the measuring cell, wherein, in particular, the homogeniser is coupled to the light source group directly or via a common optical assembly.

Devices, systems, and methods described herein relate to determining a concentration of a species of interest in a sample by using a spectrometer. For example, a concentration of a species of interest may be determined by passing a first feed of a sample with a species of interest through a flow-through variable pathlength spectrophotometer and reading a first absorbance value. A change in the concentration of the species of interest may be effected in the sample, and a second feed of the sample may be passed through a flow through variable pathlength spectrophotometer. A second absorbance value may be read. The difference between the first absorbance value and the second absorbance value may be used to determine the concentration of the species of interest.

The invention relates to a method for determining the origin of a mixture of constituents by spectral analysis. The invention especially relates to a method for determining the concentration and origin of raw gases and/or crude oils in a mixing zone following mixing by the transport of said raw gases and/or crude oils that come from at least two different sources of extraction, said method comprising a specific spectral analysis.

Provided is an examination technique that can quickly and reliably examine, from the outside of a container, whether a liquid which fills the container contains an explosive or the like, without being influenced by such things as the light transmissivity or size of the container, or the amount of liquid remaining in the container or the position of a label. In the present invention, a liquid examination device is formed by integrating the following: a near infrared-light examination device that examines whether a liquid which fills a container contains an explosive, an explosive raw material, and/or an illicit drug by projecting near infrared light into the liquid from outside of an optically transparent container, receiving the near infrared light which passed through the liquid or the near infrared light which was scattered by the liquid, and analyzing the absorption spectrum of such light; and an ultrasonic wave examination device that examines whether a liquid which fills a container contains an explosive, an explosive raw material, and/or an illicit drug by receiving the reflected waves of ultrasonic waves projected towards the liquid from outside of a metal container, and analyzing the ultrasonic wave speed of such waves.

An electronic device is for identifying the plastic composition of an unknown plastic object. The electronic device may include a spectrometer configured to receive the unknown plastic object and generate a MIR reflectance spectra characteristic of the unknown plastic object, a memory configured to store a multi-spectral fingerprint library for plastic types, and a processor coupled to the spectrometer and the memory. The processor is configured to analyze in real-time the MIR reflectance spectra characteristic of the unknown plastic object, and identify the plastic composition based upon at least comparing the MIR reflectance spectra characteristic of the unknown plastic object to the multi-spectral fingerprint library. The processor may be configured to expand the fingerprint library upon initial baseline characterization.

A fiber optic sensor arrangement is disclosed that includes a plurality of optical fiber based sensor elements, the sensor elements configured to modify an associated optical carrier signal in accordance with changes in a sensed quantity at a location of the sensor element and a phase modulation arrangement for phase modulating each optical carrier signal in accordance with respective uncorrelated pseudorandom binary sequence signals. The sensor arrangement also includes an interferometer module for receiving each of the phase modulated optical carrier signals, the interferometer module operable to convert a change in the phase modulated optical carrier signals to a change in optical intensity of the corresponding optical carrier signal to generate a combined modulated optical intensity signal, an optical intensity detector for measuring the combined modulated optical intensity signal and generating a time varying electrical detector signal and an analog to digital convertor to convert the time varying electrical detector signal to a time varying digitized detector signal. Also included in the sensor arrangement is a decorrelator arrangement for decorrelating the time varying digitized detector signal against the respective uncorrelated pseudorandom binary sequence corresponding to each of the optical carrier signals to recover each of the modulated optical carrier signals and a demodulator for demodulating each of the modulated optical carrier signals to recover the respective optical carrier signal to determine the changes in the sensed quantity at the location of the sensor element.

Systems and methods for measuring the isotope ratio of one or more gaseous oxides produced during combustion of drugs, pharmaceuticals, or medicines aiming to detect counterfeit drugs, pharmaceuticals, or medicines based on comparison of the isotopic composition of the tested drugs, pharmaceuticals, or medicines with the isotopic composition of the authentic products.

Methods of detecting material in an object are provided. The method includes emitting an entangled photon pair having a sensing photon and a local photon, directing the sensing photon to the object including a predetermined material, directing the local photon to a detector, and detecting a change in the local photon when the sensing photon encounters the predetermined material in the object.

A dryness detection method of detecting dryness of a liquid resin composition containing a solvent. The dryness detection method includes a wavelength selection step of selecting a light absorption wavelength of the solvent, a light source selection step of selecting a light source that emits light including light of the selected wavelength, a light receiving step of applying the light that has been emitted from the light source to the liquid resin composition, and receiving light that has passed through the liquid resin composition, and a determination step of finding whether or not the light of the selected wavelength after absorption in the solvent in the light receiving step exceeds in quantity a predetermined threshold, and if the threshold is found to be exceeded, determining that the solvent has evaporated and the liquid resin composition has dried. A dryness determination apparatus is also disclosed.

A device may receive information identifying results of a spectroscopic measurement performed on an unknown sample. The device may determine a decision boundary for a quantification model based on a configurable parameter, such that a first plurality of training set samples of the quantification model is within the decision boundary and a second plurality of training set samples of the quantification model is not within the decision boundary. The device may determine a distance metric for the spectroscopic measurement performed on the unknown sample relative to the decision boundary. The device may determine a plurality of distance metrics for the second plurality of training set samples of the quantification model relative to the decision boundary. The device may provide information indicating whether the spectroscopic measurement performed on the unknown sample corresponds to the quantification model.