Spectroscopic analysis

• US 9,354,165 B2
• Filed: 06/19/2013
• Issued: 05/31/2016
• Est. Priority Date: 06/19/2012
• Status: Active Grant

• Current Assignee: Klein Medical Ltd.
• Original Assignee: Klein Medical Ltd.
• Inventors: Simpkin, Raymond Andrew, Krouse, Donal Paul, Smith, Bryan James
• Primary Examiner(s): Kim, Kiho
• Application Number:
  US14/409,450
• Publication Number:
  US 20150144791A1
• Time in Patent Office: 1,077 Days
• US Class Current: 1/1
• CPC Class Codes: G01J 3/0297 Constructional arrangements for removing other types of optical noise or for performing calibration
• CPC Class Codes: G01J 3/108 for measurement in the infrared range
• CPC Class Codes: G01J 3/28 Investigating the spectrum using colour filters G01J3/51
• CPC Class Codes: G01N 21/274 Calibration, base line adjustment, drift correction
• CPC Class Codes: G01N 21/3577 for analysing liquids, e.g. polluted water
• CPC Class Codes: G01N 21/359 using near infrared light
• CPC Class Codes: G01N 2201/0691 Modulated (not pulsed supply)

Abstract

A method and analyzer for identifying, verifying or otherwise characterizing a sample involves emitting electromagnetic radiation in at least one beam at a sample. The electromagnetic radiation includes at least two different wavelengths. A sample detector detects affected electromagnetic radiation resulting from the emitted electromagnetic radiation affected by the sample and provides output representing the detected affected radiation. A processor determines sample coefficients from the output and identifies, verifies or otherwise characterizes the sample using the sample coefficients and training coefficients determined from training samples. The coefficients reduce sensitivity to a sample retainer variation and/or are independent of concentration.

Claims

1. An analyser identifying in or verifying or otherwise characterising a sample comprising:

an electromagnetic radiation source for emitting electromagnetic radiation in at least one beam at a sample, the electromagnetic radiation comprising at least two different wavelengths,

a sample detector that detects affected electromagnetic radiation resulting from the emitted electromagnetic radiation affected by the sample and provides output representing the detected affected radiation, and

a processor for determining sample coefficients from the output, and identifying or verifying or otherwise characterising the sample using the sample coefficients and training coefficients determined from training samples,

wherein the sample and/or training samples comprise a substance in a dilutant with a concentration and the sample coefficients and/or training coefficients are independent of the concentration, and

wherein each sample coefficient is determined by;

2. An analyser according to claim 1 wherein each training coefficient is determined by:

3. An analyser according to claim 2 further comprising the processor determining the concentration of the sample.

4. An analyser according to claim 3 wherein to determine the concentration of the sample the processor uses:

5. An analyser according to claim 1 wherein each wavelength or at least two of the wavelengths is between 1300 nm and 2000 nm, and each wavelength or at least two of the wavelengths is in the vicinity of the wavelength(s) of (or within a region spanning) a spectral characteristic in the liquid spectrum between 1300 nm and 2000 nm.

6. An analyser according to claim 1 wherein the sample is in an intravenous delivery device such as an IV infusions set or syringe, or other receptacle such as a test-cell, test-tube, flow cell or the like.

7. A method for identifying or otherwise characterising a sample comprising:

emitting electromagnetic radiation in at least one beam at a sample, the electromagnetic radiation comprising at least two different wavelengths,

detecting affected electromagnetic radiation resulting from the emitted electromagnetic radiation affected by the sample and providing detected output representing the detected affected radiation,

determining sample coefficients from the output, and

identifying or verifying or otherwise characterising the sample using the sample coefficients and training coefficients determined from training samples,

wherein the sample and/or training samples comprise a substance in a dilutant with a concentration and the sample coefficients and/or training coefficients are independent of the concentration, and

wherein each sample coefficient is determined by;

8. A method according to claim 7 wherein each training coefficient is determined by:

9. A method according to claim 8 further comprising determining the concentration of the sample.

10. A method according to claim 9 wherein determining the concentration of the sample the processor uses:

11. A method according to claim 7 wherein each wavelength or at least two of the wavelengths is between 1300 nm and 2000 nm, and each wavelength or at least two of the wavelengths is in the vicinity of the wavelength(s) of (or within a region spanning) a spectral characteristic in the liquid spectrum between 1300 nm and 2000 nm.

12. A method according to claim 7 wherein the sample is in an intravenous delivery device such as an IV infusions set or syringe, or other receptacle such as a test-cell, test-tube, flow cell or the like.

13. A method for identifying or verifying or otherwise characterising a sample comprising:

emitting electromagnetic radiation in at least one beam at a sample, the electromagnetic radiation comprising at least two different wavelengths,

detecting the emitted electromagnetic radiation at each wavelength and providing detected output representing the emitted electromagnetic radiation being reference intensity detected at each wavelength,

detecting affected electromagnetic radiation resulting from the emitted electromagnetic radiation affected by the sample and providing detected output representing the detected affected radiation being output intensity detected at each wavelength,

measuring the temperature of the sample

determining sample coefficients from the output, and

identifying or verifying or otherwise characterising the sample using the sample coefficients and training coefficients determined from training samples,

wherein determining the sample coefficients comprises;

eliminating dark current from the output of the reference and output intensities,

determining fractional spectral intensities from the reference and output intensities,

determining a concentration independent coefficient from the fractional spectral intensities,

wherein the training coefficients have be-been determined from data temperature corrected to the temperature of the sample.