CARBON NANOTUBE STRUCTURES IN SENSOR APPARATUSES FOR ANALYZING BIOMARKERS IN BREATH SAMPLES
First Claim
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1. A system for detecting volatile organic compounds derived from a breath sample, the system comprising:
- (a) an apparatus comprising an array of chemically sensitive sensors of single walled carbon nanotubes coated with non-polar small organic molecules, and(b) a processing unit comprising a learning and pattern recognition analyzer wherein the learning and pattern recognition analyzer receives sensor output signals and compares them to stored data.
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Abstract
The present invention provides a system for measuring biomarker analytes indicative of various diseases comprising an array of sensors sensitive to volatile organic compounds. Particularly, the system is composed of a random network of single-walled carbon nanotubes (SWCNTs) coated with non-polar small organic molecules in conjunction with learning and pattern recognition algorithms. Methods of discriminating between breath samples of healthy individuals and of lung cancer patients are disclosed.
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Citations
39 Claims
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1. A system for detecting volatile organic compounds derived from a breath sample, the system comprising:
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(a) an apparatus comprising an array of chemically sensitive sensors of single walled carbon nanotubes coated with non-polar small organic molecules, and (b) a processing unit comprising a learning and pattern recognition analyzer wherein the learning and pattern recognition analyzer receives sensor output signals and compares them to stored data. - View Dependent Claims (2, 4, 6, 7, 8, 10, 11)
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3. (canceled)
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5. (canceled)
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9. (canceled)
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12. (canceled)
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13. A method of determining at least one of the composition and concentration of volatile organic compounds in a breath sample, comprising the steps of:
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(a) providing a system comprising an apparatus comprising an array of chemically sensitive sensors of single walled carbon nanotubes coated with non-polar small organic molecules, and a processing unit comprising learning and pattern recognition analyzer wherein the learning and pattern recognition analyzer receives sensor output signals from the apparatus and compares them to stored data, (b) exposing the sensor array of the apparatus to the sample, and (c) using pattern recognition algorithms to detect the presence of the volatile organic compounds in the sample. - View Dependent Claims (14, 16, 18, 19, 20, 22, 23)
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15. (canceled)
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17. (canceled)
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21. (canceled)
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24. (canceled)
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25. A method for diagnosing a disease from a breath sample of a subject, comprising:
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(a) providing a system comprising an apparatus comprising an array of chemically sensitive sensors of single walled carbon nanotubes coated with non-polar small organic molecules, and a processing unit comprising learning and pattern recognition analyzer wherein the learning and pattern recognition analyzer receives sensor output signals from the apparatus and compares them to stored data, (b) exposing the sensor array of the apparatus to the sample, and (c) using pattern recognition algorithms to detect volatile organic compounds in the sample indicative of a disease in the subject. - View Dependent Claims (26, 28, 30, 31, 32, 34, 35, 37, 38)
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27. (canceled)
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29. (canceled)
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33. (canceled)
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36. (canceled)
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39. (canceled)
Specification