Spectrasensors, Inc.

Endress+hauser Optical Analysis, Inc.

Xiang Liu

Alfred O Feitisch

Xin Zhou

Gregory M Sanger

Keith Benjamin Helbley

Richard L Cline

Hsu-Hung Huang

Wenhai Ji

Mathias Schrempel

Douglas H Beyer

Marc Winter

Charles E Smith

Gary Yeh

James M Tedesco

Lutz Keller

Charles F Cook

Adam S Chaimowitz

Chih-Husan Chang

John Lewison

Dale Langham

William Jenko

Thomas Wilhelm

Peter Dorn

Benjamin Scherer

Kevin Ludlum

Marc M Baum

John Moss

Alex Kwan

Greg Sanger

Chih-Hsuan Chang

Adam S Chaimowtiz

The present disclosure relates to a device for measuring a first analyte concentration and a second analyte concentration in a measuring medium, the device including: a sample cell; a first light source unit; a first detector unit; a functional element; a second light source unit; a second detector unit; and a control unit adapted to analyze a detected first light for determining a first value representing the concentration of the first analyte in the measuring medium and adapted to analyze a detected third light for determining a second value representing the concentration of the second analyte in the measuring medium. A method of using the device is also disclosed.

Device and method for measuring multiple analyte concentrations in a measuring medium

Frequency registration deviations occurring during a scan of a frequency or wavelength range by a spectroscopic analysis system can be corrected using passive and/or active approaches. A passive approach can include determining and applying mathematical conversions to a recorded field spectrum. An active approach can include modifying one or more operating parameters of the spectroscopic analysis system to reduce frequency registration deviation.

Reconstruction of frequency registration for quantitative spectroscopy

The present disclosure relates to a computer-implemented method for forecasting calibration spectra including a step of providing a machine learning model trained using historical calibration data corresponding to different gas species at different pressures. The computer-implemented method also includes steps of performing a calibration scan of one gas species at one pressure using an analyzer and generating calibration curves for the analyzer corresponding to one or multiple gas species at multiple pressures using the machine learning model and the calibration scan. Thereafter, a spectrum is obtained using the analyzer, and a concentration measurement is generated using the spectrum and at least one of the calibration curves.

System and computer-implemented method for extrapolating calibration spectra

A method for implementation by a laser spectrometer is provided. The method includes first scanning, by a control unit using a first set of laser spectrometer operating parameters, a first wavelength range by adjusting a wavelength of light of a beam emitted by a laser light source and passing through a sample gas. The first wavelength range encompasses a first spectral feature corresponding to a first constituent. The method also includes at least one second scanning, by the control unit using a second set of laser spectrometer operating parameters, a second wavelength range by adjusting the wavelength of light emitted from the laser light source and passing through the sample gas. The second wavelength range has a second spectral feature corresponding to at least one second constituent. The control unit also determines a first concentration of the first constituent and a second concentration of the at least one second constituent.

Spectrometer with wide-scan tunable diode laser

Detector data representative of an intensity of light that impinges on a detector after being emitted from a light source and passing through a gas over a path length can be analyzed using a first analysis method to obtain a first calculation of an analyte concentration in the volume of gas and a second analysis method to obtain a second calculation of the analyte concentration. The second calculation can be promoted as the analyte concentration upon determining that the analyte concentration is out of a first target range for the first analysis method.

Optical absorbance measurements with self-calibration and extended dynamic range

Background composition concentration data representative of an actual background composition of a sample gas can be used to model absorption spectroscopy measurement data obtained for a gas sample and to correct an analysis of the absorption spectroscopy data (e.g. for structural interference and collisional broadening) based on the modeling.

Target analyte detection and quantification in sample gases with complex background compositions

A spectrometer includes a light source that emits a beam into a sample volume comprising an absorbing medium. Thereafter, at least one detector detects at least a portion of the beam emitted by the light source. It is later determined, based on the detected at least a portion of the beam and by a controller, that a position and/or an angle of the beam should be changed. The beam emitted by the light source is then actively steered by an actuation element under control of the controller. In addition, a concentration of the absorbing media can be quantified or otherwise calculated (using the controller or optionally a different processor that can be local or remote). The actuation element(s) can be coupled to one or more of the light source, a detector or detectors, and a reflector or reflectors intermediate the light source and the detector(s).

Spectrometer with active beam steering

A frequency registration deviation is quantified for a field spectrum collected during analysis by a spectroscopic analysis system of a sample fluid when the spectroscopic analysis system has deviated from a standard calibration state. The field spectrum is corrected based on the frequency registration deviation using at least one spectral shift technique, and a concentration is calculated for at least one analyte represented by the field spectrum using the corrected field spectrum. Related systems, methods, and articles are described.

Determination and correction of frequency registration deviations for quantitative spectroscopy

At least one light source is configured to emit at least one beam into a sample volume of an absorbing medium. In addition, at least one detector is positioned to detect at least a portion of the beam emitted by the at least one light source. Further, at least one beam modification element is positioned between the at least one detector and the at least one light source to selectively change at least one of (i) a power intensity of, or (ii) a shape of the beam emitted by the at least one light source as detected by the at least one detector. A control circuit is coupled to the beam modification element. Related apparatus methods, articles of manufacture, systems, and the like are described.

Spectrometer with variable beam power and shape

A spectrometer includes a light source configured to emit a beam along a beam path through a sample volume comprising an analyte. Also included is at least one detector positioned to detect at least a portion of the beam emitted by the light source, and at least one reflector positioned along the beam path intermediate the light source and the at least one detector having a surface roughness greater than a predefined level such as 20 &#x212b; RMS.

Spectrometer with random beam profiles

Validation verification data quantifying an intensity of light reaching a detector of a spectrometer from a light source of the spectrometer after the light passes through a validation gas across a known path length can be collected or received. The validation gas can include an amount of an analyte compound and an undisturbed background composition that is representative of a sample gas background composition of a sample gas to be analyzed using a spectrometer. The sample gas background composition can include one or more background components. The validation verification data can be compared with stored calibration data for the spectrometer to calculate a concentration adjustment factor, and sample measurement data collected with the spectrometer can be modified using this adjustment factor to compensate for collisional broadening of a spectral peak of the analyte compound by the background components. Related methods, articles of manufacture, systems, and the like are described.

Collisional broadening compensation using real or near-real time validation in spectroscopic analyzers

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Rancho Cucamonga, CA, United States of America

Xiang Liu