Method and apparatus for comparing spectra

• US 5,308,982 A
• Filed: 10/05/1992
• Issued: 05/03/1994
• Est. Priority Date: 10/04/1991
• Status: Expired due to Term

• Current Assignee: Perkin-Elmer Llc (Revvity, Inc.)
• Original Assignee: The Perkin-Elmer Corporation (Thermo Fisher Scientific Incorporated)
• Inventors: Spragg, Richard, Hoult, Robert, Ivaldi, Juan, Tracy, David H.
• Primary Examiner(s): Dzierzynski, Paul M.
• Assistant Examiner(s): HANIG, RICHARD E
• Application Number:
  US07/956,519
• Time in Patent Office: 575 Days
• Field of Search: 250/339, 250/340, 250/341, 364/498, 364/578
• US Class Current: 250/339.12
• CPC Class Codes: G01J 3/28 Investigating the spectrum using colour filters G01J3/51
• CPC Class Codes: G01J 3/433 Modulation spectrometry; Derivative spectrometry
• CPC Class Codes: G01N 2201/129 Using chemometrical methods

Abstract

A method for determining concentration of an analyte in a sample includes generating a spectrum of a selected analyte and interferents, generating a spectrum of an unknown sample, computing first and second derivatives of the sample spectrum, deriving a matrix model that includes the analyte spectrum and the derivatives, and applying the matrix model to the sample spectrum so as to yield a parameter representing concentration of the selected analyte in the unknown sample. Multiple linear least squares regression is utilized to fit the model and calculate the parameter.

Claims

1. A method for determining concentration of a selected analyte in a sample, the analyte having a characteristic spectral band in a selected spectral region within a range consisting of infrared, visible and ultraviolet radiation, the method comprising:

generating an analyte spectrum of a selected analyte including the spectral band;

generating a sample spectrum of a sample for the selected spectral region;

computing a first derivative of the sample spectrum;

constructing a matrix model comprising as components the analyte spectrum and the first derivative of the sample spectrum; and

applying the matrix model to the sample spectrum so as to yield a parameter representing concentration of the selected analyte in the sample.

2. The method of claim 1 wherein the step of computing comprises, for each incremental wavelength position, selecting a plurality of points in the sample spectrum straddling such wavelength position, fitting a curve to the plurality of points, and computing the first derivative from the fitted curve.

3. The method of claim 1 further comprising computing a second derivative of the sample spectrum, and including the second derivative in the matrix model.

4. The method of claim 1 further comprising computing at least one higher derivative of the sample spectrum, and including the each such higher derivative in the matrix model.

5. The method of claim 4 wherein the steps of computing comprise, for each incremental wavelength position, selecting a plurality of points in the sample spectrum straddling such wavelength position, fitting a curve to the plurality of points, and computing the first derivative and each such higher derivative from the fitted curve.

6. The method of claim 1 wherein the step of applying comprises utilizing a multiple linear least squares regression method.

7. The method of claim 1 further comprising selecting a region in the sample spectrum containing undesirable spectral information, and masking the sample spectrum in the selected region prior to the steps of computing and deriving.

8. The method of claim 1 further comprising generating at least one interference spectrum, and including each interference spectrum in the matrix model.

9. The method of claim 1 further comprising storing the analyte spectrum, generating at least one further spectrum of a further sample, computing a first derivative of the further spectrum, deriving a further matrix model that includes the stored spectrum and the first derivative of the further spectrum, and applying the further matrix model to the further spectrum to yield a further value of the parameter representing concentration of the selected analyte in the further sample.

10. The method of claim 3 further comprising storing the analyte spectrum, generating at least one further spectrum of a further sample, computing a first derivative and a second derivative of the further spectrum, deriving a further matrix model that includes the stored spectrum and the first derivative and the second derivative of the further spectrum, and applying the further matrix model to the further spectrum to yield a further value of the parameter representing concentration of the selected analyte in the further sample.

11. The method of claim 1 wherein the sample contains a second analyte having a corresponding spectral band interfering with the spectral band of the selected analyte in the sample spectrum, and the method further comprises generating a corresponding spectrum for the second analyte including the corresponding spectral band, and including the corresponding spectrum in the matrix model.

12. The method of claim 1 wherein the matrix model further comprises a background profile.

13. A method for determining concentration of a selected analyte in a sample, the analyte having a characteristic spectral band in a selected spectral region within a range consisting of infrared, visible and ultraviolet radiation, the method comprising:

generating and storing an analyte spectrum of a selected analyte including the spectral band;

generating a sample spectrum of a sample for the spectral region;

for each incremental wavelength position, selecting a plurality of points in the sample spectrum centered on such wavelength position, fitting a curve to the plurality of points, and computing a first derivative and a second derivative of the sample spectrum from the fitted curve;

constructing a matrix model comprising as components the analyte spectrum, the first derivative of the sample spectrum and the second derivative of the sample spectrum;

utilizing a multiple linear least squares regression method to apply the matrix model to the sample spectrum so as to yield a parameter representative of concentration of the selected analyte in the sample; and

generating at least one further sample spectrum, deriving a further matrix model with the stored spectrum and first and second derivatives of the further spectrum, and utilizing the regression method with the further matrix model to yield a further value of the parameter representative of concentration of the selected analyte in the sample.

14. An apparatus for determining concentration of a selected analyte in a sample, the analyte having a characteristic spectral band in a selected spectral region within a range consisting of infrared, visible and ultraviolet radiation, the apparatus comprising:

means for generating an analyte spectrum of a selected analyte including the spectral band;

means for generating a sample spectrum of a sample for the spectral region;

means for computing a first derivative of the sample spectrum;

means for constructing a matrix model comprising as components the analyte spectrum and the first derivative of the sample spectrum; and

means for applying the matrix model to the sample spectrum so as to yield a parameter representing concentration of the selected analyte in the sample.

15. The apparatus of claim 14 wherein the means for computing comprises, for each incremental wavelength position, means for selecting a plurality of points in the sample spectrum straddling such wavelength position, means for fitting a curve to the plurality of points, and means for computing the first derivative from the fitted curve.

16. The apparatus of claim 14 further comprising means for computing at least one higher derivative of the sample spectrum, and means for including each such higher derivative in the matrix model.

17. The apparatus of claim 16 wherein the means for computing comprise, for each incremental wavelength position, means for selecting a plurality of points in the sample spectrum straddling such wavelength position, means for fitting a curve to the plurality of points, and means for computing the first derivative and each such higher derivative from the fitted curve.

18. The apparatus of claim 14 wherein the means for applying comprises means for utilizing a multiple linear least squares regression method.

19. The apparatus of claim 14 further comprising means for selecting a region in the sample spectrum containing undesirable spectral information, and means for masking the sample spectrum in the selected region prior to computing and deriving.

20. The apparatus of claim 14 further comprising means for generating at least one interference spectrum, and means for including each interference spectrum in the matrix model.

21. The apparatus of claim 14 further comprising means for storing the analyte spectrum for inclusion in subsequent matrix models.

22. The apparatus of claim 14 further comprising means for storing the analyte spectrum, means for successively generating further spectra of successive samples so as to compute first derivatives of the further spectra, and means for deriving successive matrix models that include the stored spectrum and successive first derivatives, whereby application of the successive matrix models to corresponding further spectra yield successive parameters representing concentration of the selected analyte in corresponding samples.