US5830133A
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Characterizing biological matter in a dynamic condition using near infrared spectroscopy
Assignee: University of Washington
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Filing: 1995-06-07
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Granted: 1998-11-03
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Expires: 2015-06-07
Abstract
Abstract A method for predicting a property of biological matter, such as biological fluid, containing water, in a dynamic condition where the biological fluid may be approximated to contain two compartments where one compartment has a proportionally larger or smaller amount of water than the other compartment having the property of interest. The method involves establishing a training set in the near-infrared (NIR) region with independent quantification of the property of the fluid using known techniques. The training set is mathematically analyzed according to a correlation developed by regression analysis after employment of a pre-processing technique such as a multiple derivative transformation of spectra or a ratioing of two wavelengths in the spectra. The result is a mathematical transformation equation which quantitatively relates spectral intensities at specific wavelengths to the property of interest. This transformation equation may be applied to unknown samples so as to predict their properties, thereby eliminating need for the reference method except for validation or recalibration. The method provides rapid and accurate prediction of the property of the unknown sample, which may be the property of hematocrit or hemoglobin concentration in whole animal blood. Other analyses of properties in the biological fluid such as oxygen saturation in hemoglobin in whole animal blood may be included in the mathematical analysis to further refine the prediction of the property of interest. Also, a loop from the patient is disclosed for the purpose of monitoring the property of interest nearly simultaneously with changes in that property of interest.
Inventors
- 👤 David W. Osten
- 👤 Hatim M. Carim
- 👤 James B. Callis
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-05 01:33
CPC Classifications
A; A61; A61B; A61B5/00; A61B5/145; A61B5/14535; A61B5/1455; A61B5/14551; A61B5/14557; A61B5/72; A61B5/7235; A61B5/7239; G; G01; G01N; G01N21/00; G01N21/17; G01N21/25; G01N21/31; G01N21/35; G01N21/359; G01N2201/00; G01N2201/12; G01N2201/129
Claims Analysis
Total Claims: 10
Claim 1
Independent Claim
278 words
A method of predicting a property characteristic of biological matter, where the biological matter is approximated to comprise a first compartment related to the property characteristic of the biological matter containing a different amount of water than a second compartment, the method comprising: (a) transmitting near infrared radiation into a sample of the biological matter to be analyzed for the property characteristic of the biological matter while the sample is in a dynamic condition; (b) detecting a near infrared absorbance spectrum for the sample as spectral data consisting of absorbance intensities; (c) generating an electrical signal indicative of a multiple derivative transformation of the near infrared absorbance spectrum suitable for analysis in a computer; (d) applying previously-determined regression coefficients to the electrical signal, the regression coefficients obtained by a method comprising comparing values indicative of the property characteristic of multiple training samples of the biological matter obtained from standard analytical techniques with a multiple derivative of spectral data consisting of absorbance intensities of the near infrared absorbance spectra for the multiple training samples while in a dynamic condition and statistically identifying the nature of a best two compartment mathematical correlation between the property to be analyzed in the first compartment and the water content in the biological matter by selecting a wavelength from the water band region of the near infrared absorbance spectra for the multiple training samples, the multiple derivative of the absorbance intensity at such wavelength corresponding to a highest expected correlation with the values indicative of the property characteristic of the multiple training samples; and (e) predicting the property characteristic of biological matter, based on results of applying the regression coefficients to the electrical signal.
Claim 2
Independent Claim
278 words
A method of predicting a property characteristic of biological matter, where the biological matter is approximated to comprise a first compartment related to the property characteristic of the biological matter containing a different amount of water than a second compartment, the method comprising: (a) transmitting near infrared radiation into a sample of the biological matter to be analyzed for the property characteristic of the biological matter while the sample is in a dynamic condition; (b) detecting a near infrared absorbance spectrum for the sample as spectral data consisting of absorbance intensities; (c) generating an electrical signal indicative of a multiple derivative transformation of the near infrared absorbance spectrum suitable for analysis in a computer; (d) applying previously-determined regression coefficients to the electrical signal, the regression coefficients obtained by a method comprising comparing values indicative of the property characteristic of multiple training samples of the biological matter obtained from standard analytical techniques with a multiple derivative of spectral data consisting of absorbance intensities of the near infrared absorbance spectra for the multiple training samples while in a dynamic condition and statistically identifying the nature of a best two compartment mathematical correlation between the property to be analyzed in the first compartment and the water content in the biological matter by selecting a wavelength from the water band region of the near infrared absorbance spectra for the multiple training samples, the multiple derivative of the absorbance intensity at such wavelength corresponding to a highest expected correlation with the values indicative of the property characteristic of the multiple training samples; and (e) predicting the property characteristic of biological matter, based on results of applying the regression coefficients to the electrical signal.
Claim 3
Dependent Claim
20 words
The method of claim 1, wherein the applying of regression coefficients comprises applying regression coefficients obtained from linear regression analysis.
Claim 4
Dependent Claim
51 words
The method of claim 1, wherein the property characteristic of biological matter is hematocrit, the selected wavelength is in the range 1150 to 1190 nm, and the step of predicting provides a multiple correlation coefficient between the value indicative of hematocrit and the predicted value of hematocrit of at least 0.95.
Claim 5
Dependent Claim
36 words
The method of claim 1, wherein the property characteristic of biological matter is hematocrit, and the step of predicting has a standard error of prediction of less than 3.5%, and a bias of less than 3%.
Claim 6
Dependent Claim
56 words
The method of claim 1, wherein the property characteristic of biological matter is hematocrit, and the predicting has a standard error of prediction of less than 2 g/dl and a bias of less than 1.6 g/dl when the multiple derivative of the applying step is for a wavelength in the range of 1150 to 1190 nm.
Claim 7
Dependent Claim
49 words
The method of claim 1, wherein the property characteristic of biological matter is hemoglobin, and the step of predicting has a standard error of prediction less than 2.0 g/dl and a bias less than 1.6 g/dl, when the multiple derivative is for a wavelength in the range 1150-1190 nm.
Claim 8
Dependent Claim
40 words
The method of claim 1, wherein the biological matter is blood and the transmitting of step (a) comprises transmitting into a loop of flowing blood, the blood flowing from a patient into the loop and then returning to the patient.
Claim 9
Dependent Claim
23 words
The method of claim 1, wherein the step of transmitting comprises transmitting radiation in the range of wavelengths from 1150 to 1190 nm.
Claim 10
Dependent Claim
13 words
The method of claim 1, wherein the multiple derivative is a second derivative.
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USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 2001-11-02 | 2002-05-04 | 2002-11-03 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2005-11-02 | 2006-05-04 | 2006-11-03 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2009-11-02 | 2010-05-04 | 2010-11-03 | $7700.00 | Window Closed / Lapsed |