Laser sensor for trace gas detection

US10241037B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10241037-B2
Application numberUS-201515520051-A
CountryUS
Kind codeB2
Filing dateOct 20, 2015
Priority dateOct 21, 2014
Publication dateMar 26, 2019
Grant dateMar 26, 2019

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  1. Title

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  2. Abstract

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  4. Key dates

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  5. First independent claim

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Abstract

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Systems and methods are disclosed to determine the concentration of a species within a sample. An example method may include collecting optical loss data over a range of frequencies from the sample using a spectroscopy system; placing the optical loss data into a plurality of bins, each bin having a defined frequency width; determining an average optical loss data value for the optical loss values within each bin that have an optical loss value less than a threshold value; removing the optical loss data within each bin having a value outside a tolerance range bounding the average optical loss data value for the respective bin; fitting a spectral curve to the remaining optical loss data; and determining the concentration of the species within the sample based on the spectral curve.

First claim

Opening claim text (preview).

That which is claimed: 1. A method to determine a concentration of a species within a sample using an open path cavity ring-down spectroscopy system, the method comprising: emitting, by a light source, a light beam; directing the light beam emitted by the light source through a sample positioned between two reflectors; collecting, using an open path cavity ring-down spectroscopy system, temporal decay data of the light beam as the light beam reflects back and forth through the sample between the two reflectors; converting, using the open path cavity ring-down spectroscopy system, the temporal decay data to optical loss data, the optical loss data including optical loss data over a range of frequencies; placing the optical loss data into a plurality of bins, each bin having a defined frequency width; determining an average optical loss data value for each bin from a subset of optical loss data values within each bin; removing the optical loss data within each bin having a value outside a tolerance range bounding the average optical loss data value for the respective bin; after the removing, fitting a spectral curve to the remaining optical loss data; and determining the concentration of the species within the sample based on the spectral curve, wherein the subset of optical loss data values within each bin comprises optical loss data values within the respective bin below a threshold value. 2. The method according to claim 1 , wherein the concentration of the species within the sample is determined based on spectral peaks within the spectral curve. 3. The method according to claim 1 , wherein fitting the spectral curve to the remaining optical loss data comprises fitting the spectral curve to the remaining optical loss data using a least squares technique. 4. A method to determine a concentration of a species within a sample using an open path cavity ring-down spectroscopy system, the method comprising: emitting, by a light source, a light beam; directing the light beam emitted by the light source through a sample positioned between two reflectors; collecting, using an open path cavity ring-down spectroscopy system, temporal decay data of the light beam as the light beam reflects back and forth through the sample between the two reflectors; converting, using the open path cavity ring-down spectroscopy system, the temporal decay data to optical loss data, the optical loss data including optical loss data over a range of frequencies; placing the optical loss data into a plurality of bins, each bin having a defined frequency width; determining an average optical loss data value for each bin from a subset of optical loss data values within each bin; removing the optical loss data within each bin having a value outside a tolerance range bounding the average optical loss data value for the respective bin; after the removing, fitting a spectral curve to the remaining optical loss data; and determining the concentration of the species within the sample based on the spectral curve, wherein the subset of optical loss data values within each bin comprises a predetermined percentage of the optical loss data values having the lowest optical loss data value. 5. The method according to claim 4 , wherein the concentration of the species within the sample is determined based on spectral peaks within the spectral curve. 6. The method according to claim 4 , wherein fitting the spectral curve to the remaining optical loss data comprises fitting the spectral curve to the remaining optical loss data using a least squares technique.

Assignees

Inventors

Classifications

  • G01J3/42Primary

    Absorption spectrometry; Double beam spectrometry; Flicker spectrometry; Reflection spectrometry (beam switching arrangements G01J3/08) · CPC title

  • using tunable lasers · CPC title

  • Background correcting · CPC title

  • for analysing gases, e.g. multi-gas analysis · CPC title

  • Validating from signal shape, slope, peak · CPC title

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What does patent US10241037B2 cover?
Systems and methods are disclosed to determine the concentration of a species within a sample. An example method may include collecting optical loss data over a range of frequencies from the sample using a spectroscopy system; placing the optical loss data into a plurality of bins, each bin having a defined frequency width; determining an average optical loss data value for the optical loss val…
Who is the assignee on this patent?
Univ Colorado State Res Found
What technology area does this patent fall under?
Primary CPC classification G01J3/42. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Mar 26 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).