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公开(公告)号:US20190277691A1
公开(公告)日:2019-09-12
申请号:US16415171
申请日:2019-05-17
Applicant: SpectraSensors, Inc.
Inventor: Alfred Feitisch , Xiang Liu , Keith Helbley , Douglas Beyer , Marc Winter
Abstract: 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).
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公开(公告)号:US11953437B2
公开(公告)日:2024-04-09
申请号:US17445880
申请日:2021-08-25
Applicant: SpectraSensors, Inc.
Inventor: Marc Winter , Xiang Liu , Thomas Wilhelm
CPC classification number: G01N21/6428 , G01N21/1702 , G01N21/39 , G01N2021/1704 , G01N2021/1755 , G01N2021/6432 , G01N2201/06113 , G01N2201/12761
Abstract: 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.
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公开(公告)号:US20230065553A1
公开(公告)日:2023-03-02
申请号:US17445880
申请日:2021-08-25
Applicant: SpectraSensors, Inc.
Inventor: Marc Winter , Xiang Liu , Thomas Wilhelm
Abstract: 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.
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公开(公告)号:US11754539B2
公开(公告)日:2023-09-12
申请号:US16842849
申请日:2020-04-08
Applicant: SpectraSensors, Inc.
Inventor: Kevin Ludlum , Marc Winter , Benjamin Scherer , Xiang Liu
CPC classification number: G01N33/0006 , G01N21/31 , G01N33/0036 , G06N3/08 , G06N20/00
Abstract: 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.
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公开(公告)号:US20210318280A1
公开(公告)日:2021-10-14
申请号:US16842849
申请日:2020-04-08
Applicant: SpectraSensors, Inc.
Inventor: Kevin Ludlum , Marc Winter , Benjamin Scherer , Xiang Liu
Abstract: 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.
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