Use of basic polymers in carbon black composite vapor detectors to obtain enhanced sensitivity and classification performance for volatile fatty acids

• US 20050150778A1
• Filed: 11/18/2003
• Published: 07/14/2005
• Est. Priority Date: 11/18/2002
• Status: Abandoned Application

• Current Assignee: California Institute of Technology
• Original Assignee: California Institute of Technology
• Inventors: Tillman, Eric Steven, Koscho, Michael E., Grubbs, Robert H., Lewis, Nathan S.
• Application Number:
  US10/980,901
• Publication Number:
  US 20050150778A1
• Time in Patent Office: Days
• US Class Current: 205/777.500
• CPC Class Codes: G01N 27/126 comprising organic polymers
• CPC Class Codes: G01N 33/497 of gaseous biological material, e.g. breath

Abstract

Provided are sensors, sensor arrays, and systems for detecting an analyte. A sensor provided by the disclosure comprises an amine-containing material. Such sensors are useful to detect carboxylic-containing analytes such as fatty acids.

Claims

1. A sensor, comprising:

regions of an amine-containing material and a conductive material, wherein the sensor provides an electrical path through the regions of the amine-containing material and the regions of the conductive material.

2. The sensor of claim 1, wherein the conductive material is carbon black.

3. The sensor of claim 1, wherein the conductive material is selected from the group consisting of Ag, Au, Cu, Pt, and AuCu.

4. The sensor of claim 1, further comprising a second conductive material compositionally different than the conductive material.

5. The sensor of claim 1, wherein the amine-containing material is selected from the group consisting of:

a polyimine selected from the group consisting of (acetyliminoethylene), polyethylenimine, and poly(valeryl-iminoethylene);

a polyallylamine;

a polyvinylamine;

a polyhistidine;

a polyomithine;

a polylysine; and

a polyarginine.

6. A sensor array comprising:

a plurality of sensors; and

a measuring apparatus, wherein the plurality of sensors are in communication with the measuring apparatus,

at least one sensor of the plurality of sensors comprising;

regions of a polyimine material and a conductive material, wherein the sensor provides an electrical path through the regions of the polyimine material and the regions of the conductive material, the sensors constructed to provide a first response when contacted with a first chemical analyte, and a second different response when contacted with a second different chemical analyte.

7. The sensor array of claim 6, wherein the measuring apparatus is an electrical measuring device in electrical communication with at least one sensor.

8. The sensor array of claim 6, wherein the array comprises a plurality of sensors each having regions of a polyimine material and a conductive material.

9. The sensor array of claim 6, wherein the at least one sensor comprises at least two sensors.

10. The sensor array of claim 9, wherein the at least two sensors comprise a different thickness than each other.

11. The sensor array of claim 6, wherein the conductive material is an inorganic conductor.

12. The sensor array of claim 11, wherein the inorganic conductor is selected from the group consisting of Ag, Au, Cu, Pt, and AuCu.

13. The sensor array of claim 6, wherein the response is a change in resistance in the sensors.

14. The sensor array of claim 6, further comprising a temperature control apparatus, the temperature control apparatus in thermal communication with at least one sensor in the sensor array.

15. The sensor array of claim 6, wherein the response is a change in impedance.

16. The sensor array of claim 6, wherein the conductive material is carbon black.

17. The sensor array of claim 6, wherein the conductive material is a member selected from the group consisting of a metal, a metal alloy, a metal oxide, an organic complex, a semiconductor, a superconductor and a mixed inorganic-organic complex.

18. The sensor array of claim 6, wherein the polyimine is selected from the group consisting of poly(acetyliminoethylene), poly ethylenimine, and poly(valeryl-iminoethylene).

19. The sensor array of claim 6, wherein the conductive material is a particle.

20. A sensor array system comprising:

a plurality of sensors; and

a measuring apparatus, wherein the sensors are in communication with the measuring apparatus,

a computer comprising a resident algorithm,

at least one of the sensors comprising;

regions of an amine-containing material and regions of a conductive material, wherein each sensor provides an electrical path through the region of the amine-containing material and the conductive material, the sensors constructed to provide a first response when contacted with a first chemical analyte, and a second different response when contacted with a second different chemical analyte, wherein the computer processes the difference between the first response and the second response and wherein the amine-containing material is selected from the group consisting of a polyimine selected from the group consisting of (acetyliminoethylene), polyethylenimine, and poly(valeryl-iminoethylene);

a polyallylamine;

a polyvinylamine;

a polyhistidine;

a polyomithine;

a polylysine; and

a polyarginine.

21. The sensor array system of claim 20, wherein the measuring apparatus is an electrical measuring device in electrical communication with at least one sensor.

22. The sensor array system of claim 20, wherein the amine-containing material of at least one sensor is different from the amine-containing material of at least one other sensor.

23. The sensor array system of claim 20, wherein the conductive material is an inorganic conductor.

24. The sensor array system of claim 20, wherein the response is a change in resistance in the sensors.

25. The sensor array system of claim 20, wherein the amine-containing material of the plurality of sensors are compositionally the same.

26. The sensor array system of claim 20, wherein the conductive material is selected from the group consisting of polyanilines, emeraldine salt of polyanilines, polypyrroles, polythiophenes, polyEDOTs, Ag, Au, Cu, Pt, carbon black, and AuCu.

27. The sensor array system of claim 20, wherein the response is a change in impedance.

28. The sensor array system of claim 20, wherein the conductive material is carbon black and the amine-containing material is poly(ethylenimine).

29. The sensor array system of claim 20, wherein the resident algorithm is a member selected from the group consisting of principal component analysis, Fisher linear analysis, neural networks, genetic algorithms, fuzzy logic, pattern recognition, and combinations thereof.

30. A method for detecting the presence of an analyte in a sample, the method comprising:

sensing the presence of an analyte in a sample with a sensor array, wherein at least one sensor of the sensor array comprises a region of an amine-containing material and a region of a conductive material, the array of sensors providing a first response when contacted with a first sample comprising a first chemical analyte and a second different response when contacted with a second sample comprising a second different chemical analyte.

31. The method of claim 30, wherein each sensor in the sensor array is a chemiresistor comprising regions of a first material and regions of a second material compositionally different than the first material and wherein one sensor of the sensor array comprises a region of an amine-containing material and a region of a conductive material.

32. The method of claim 30, wherein each of the sensors in the array comprise a region of an amine-containing material and a region of a conductive material.

33. The method of claim 32, wherein the amine-containing material of at least one sensor is different from the amine containing material of at least one other sensor.

34. The method of claim 30, wherein the conductive material is an inorganic conductor.

35. The method of claim 30, wherein the response is a change in resistance in the sensors.

36. The method of claim 30, wherein the response is a change in vibration.

37. The method of claim 30, wherein the conductive material is selected from the group consisting of a conductive organic material and a conductive inorganic material.

38. The method of claim 37, wherein the conductive organic material is selected from the group consisting of a polyaniline, an emeraldine salt of polyaniline, a polypyrrole, a polythiophene, a polyEDOT, and a carbon black, and the conductive inorganic material is selected from the group consisting of Ag, Au, Cu, Pt, and AuCu.

39. The method of claim 30, wherein the response is a change in impedance.

40. The method of claim 30, wherein the conductive material is selected from the group consisting of an organic conductor, an inorganic conductor, and a mixed inorganic-organic conductor.

41. The method of claim 30, wherein the conductive material is selected from the group consisting of a metal, a metal alloy, a metal oxide, an organic complex, a semiconductor, a superconductor, and a mixed inorganic-organic complex.

42. The method of claim 30, wherein the analyte is a carboxylic acid-containing molecule.

43. The method of claim 42, wherein the carboxylic acid-containing molecule is a fatty acid molecule.

44. A method for detecting a microorganism, the method comprising:

exposing an analyte mixture obtained from a sample to a sensor array comprising a plurality of sensors, wherein at least one sensor of the plurality of sensors comprises a region of an amine-containing material and a region of a conducting material; and

measuring a response from the plurality of sensors wherein an analyte in the analyte mixture is produced by a microorganism thereby detecting the microorganism.

45. A system for identifying an analyte, the system comprising:

a sensor array comprising a plurality of sensors connected to a measuring apparatus, wherein at least one sensor of the plurality of sensors comprises a region of an amine-containing material and a region of a conductive material and

a computer comprising a resident algorithm;

the measuring apparatus capable of detecting a response from each sensor and the computer capable of assembling the responses into a response profile for analyte identification.

46. The system of claim 45, wherein the resident algorithm of the computer is selected from the group consisting of principal component analysis, Fisher linear analysis, neural networks, genetic algorithms, fuzzy logic, pattern recognition, and combinations thereof.

47. The system of claim 45, further comprising the steps of:

providing an information storage device coupled to the measuring apparatus; and

storing information in the information storage device.

48. The system of claim 45, wherein the measuring apparatus includes a digital-analog converter.

49. The system of claim 45, wherein the measuring apparatus is optimized to detect electromagnetic energy, optical properties, resistance, capacitance, inductance, impedance, and combinations thereof.

50. The system of claim 45, wherein the array of sensors comprises a member selected from the group consisting of a surface acoustic wave sensor, a quartz microbalance sensor;

a conductive composite;

a chemiresistor;

a metal oxide gas sensor and a conducting polymer sensor, a dye-impregnated polymer film on fiber optic detector, a polymer-coated micromirror, an electrochemical gas detector, a chemically sensitive field-effect transistor, a carbon black-polymer composite, a micro-electro-mechanical system device and a micro-opto-electro-mechanical system device.

51. The system of claim 45, wherein the analyte is an off gas of a microorganism selected from the group consisting of Prevotella intermedia, Fusobacterium nucleatum, Porphyromonas gingivalis, Porphyromonas endodontalis, Prevotella loescheii, Hemophilus parainfluenzae, Stomatococcus muci, Treponema denticola, Veillonella species, Peptostreptococcus anaerobius, Micros prevotii, Eubacterium limosum, Centipeda periodontii, Selemonad aremidis, Eubacterium species, Bacteriodes species, Fusobacterium periodonticum, Prevotella melaninogenica, Klebsiella pneumoniae, Enterobacter cloacae, Citrobacter species and Stomatococcus mucilaginus.

52. A method for detecting a disease in a subject, the method comprising,

contacting an array of sensors with a biological sample suspected of containing an analyte indicative of the disease, wherein at least one sensor of the array of sensors comprises regions of an amine-containing material and a conductive material;

and

detecting the analyte wherein the presence of the analyte is indicative of the disease.

53. the method of claim 52, wherein the array of sensors comprises a sensor selected from the group consisting of a surface acoustic wave sensor, a quartz microbalance sensor;

a conductive composite;

a chemiresistor;

a metal oxide gas sensor and a conducting polymer sensor, a dye-impregnated polymer film on fiber optic detector, a polymer-coated micromirror, an electrochemical gas detector, a chemically sensitive field-effect transistor, a carbon black-polymer composite, a micro-electro-mechanical system device, and a micro-opto-electro-mechanical system device.

54. The method of claim 52, further comprising obtaining a response from the sensors and inputting the response to a neural net trained against known analytes.

55. The method of claim 52, wherein the disease is selected from the group consisting of halitosis, periodontal disease, pneumonia, vaginitis, uremia, trimethylaminuria, lung cancer, dysgensia, dysosnia, cytinuria, and bacterial vaginosis.

56. The method of claim 52, wherein the analyte is an off gas of an organism selected from the group consisting of Prevotella intermedia, Fusobacterium nucleatum, Porphyromonas gingivalis, Porphyromonas endodontalis, Prevotella loescheii, Hemophilus parainfluenzae, Stomatococcus muci, Treponema denticola, Veillonella species, Peptostreptococcus anaerobius, Micros prevotii, Eubacterium limosum, Centipeda periodontii, Selemonad aremidis, Eubacterium species, Bacteriodes species, Fusobacterium periodonticum, Prevotella melaninogenica, Klebsiella pneumoniae, Enterobacter cloacae, Citrobacter species and Stomatococcus mucilaginus.

57. The method of claim 52, wherein the biological sample is a subject'"'"'s breath, vaginal discharge, urine, feces, tissue sample, or blood sample.