The Experts below are selected from a list of 1920 Experts worldwide ranked by ideXlab platform

Raanan A Miller - One of the best experts on this subject based on the ideXlab platform.

  • discrimination of combustion fuel sources using gas chromatography planar field asymmetric waveform ion mobility spectrometry
    IEEE Journal of Solid-state Circuits, 2003
    Co-Authors: G A Eiceman, Alexander Tarassov, Paul A Funk, Edgar S Hughs, Erkinjon G Nazarov, Raanan A Miller
    Abstract:

    Smoke plumes from cotton, paper, grass, and cigarettes and emissions from a gas-oline engine were sampled using solid-phase microextraction (SPME) and sampleswere analyzed for volatile organic compounds (VOC) using gas chromatography-mass spectrometry (GC-MS). Chemical compositions were sufficiently distinct toallow source identification. Unfortunately, advanced Smoke Detectors based on GC-MS would be too slow and expensive for most applications. Direct sampling of Smokeby atmospheric pressure chemical ionization-mass spectrometry produced a complexresponse, demonstrating that VOC in Smoke were suitable for gas phase chemicalionization. The complexity also indicated the necessity of chromatographic prefractio-nation. Planar Field Asymmetric-waveform Ion Mobility Spectrometry (PFAIMS) as acapillary GC detector generated chemical information orthogonal to GC retentiontimes. The combination of SPME preconcentration and the additional information pro-vided by the PFAIMS detector yielded unique patterns from Smoke from each fuel.Reconstructed ion chromatograms extracted from the PFAIMS scans indicated suffi-cient resolution of chemical constituents could be completed in less than five minuteswith little loss of analytical information. These first measurements suggest that a GC-PFAIMS instrument operating at ambient pressure in air might result in a compactand convenient fuel specific Smoke alarm at a reasonable cost.Key Words: Gas chromatography; Ion mobility spectrometry; Volatile organic com-pounds;Smokedetector;Received:July1,2002;accepted:September9,2002

  • discrimination of combustion fuel sources using gas chromatography planar field asymmetric waveform ion mobility spectrometry
    IEEE Journal of Solid-state Circuits, 2003
    Co-Authors: G A Eiceman, Alexander Tarassov, Paul A Funk, Edgar S Hughs, Erkinjon G Nazarov, Raanan A Miller
    Abstract:

    Smoke plumes from cotton, paper, grass, and cigarettes and emissions from a gasoline engine were sampled using solid-phase microextraction (SPME) and samples were analyzed for volatile organic compounds (VOC) using gas chromatography-mass spectrometry (GC-MS). Chemical compositions were sufficiently distinct to allow source identification. Unfortunately, advanced Smoke Detectors based on GC-MS would be too slow and expensive for most applications. Direct sampling of Smoke by atmospheric pressure chemical ionization-mass spectrometry produced a complex response, demonstrating that VOC in Smoke were suitable for gas phase chemical ionization. The complexity also indicated the necessity of chromatographic prefractionation. Planar Field Asymmetric-waveform Ion Mobility Spectrometry (PFAIMS) as a capillary GC detector generated chemical information orthogonal to GC retention times. The combination of SPME preconcentration and the additional information provided by the PFAIMS detector yielded unique patterns from Smoke from each fuel. Reconstructed ion chromatograms extracted from the PFAIMS scans indicated sufficient resolution of chemical constituents could be completed in less than five minutes with little loss of analytical information. These first measurements suggest that a GC-PFAIMS instrument operating at ambient pressure in air might result in a compact and convenient fuel specific Smoke alarm at a reasonable cost.

G A Eiceman - One of the best experts on this subject based on the ideXlab platform.

  • discrimination of combustion fuel sources using gas chromatography planar field asymmetric waveform ion mobility spectrometry
    IEEE Journal of Solid-state Circuits, 2003
    Co-Authors: G A Eiceman, Alexander Tarassov, Paul A Funk, Edgar S Hughs, Erkinjon G Nazarov, Raanan A Miller
    Abstract:

    Smoke plumes from cotton, paper, grass, and cigarettes and emissions from a gas-oline engine were sampled using solid-phase microextraction (SPME) and sampleswere analyzed for volatile organic compounds (VOC) using gas chromatography-mass spectrometry (GC-MS). Chemical compositions were sufficiently distinct toallow source identification. Unfortunately, advanced Smoke Detectors based on GC-MS would be too slow and expensive for most applications. Direct sampling of Smokeby atmospheric pressure chemical ionization-mass spectrometry produced a complexresponse, demonstrating that VOC in Smoke were suitable for gas phase chemicalionization. The complexity also indicated the necessity of chromatographic prefractio-nation. Planar Field Asymmetric-waveform Ion Mobility Spectrometry (PFAIMS) as acapillary GC detector generated chemical information orthogonal to GC retentiontimes. The combination of SPME preconcentration and the additional information pro-vided by the PFAIMS detector yielded unique patterns from Smoke from each fuel.Reconstructed ion chromatograms extracted from the PFAIMS scans indicated suffi-cient resolution of chemical constituents could be completed in less than five minuteswith little loss of analytical information. These first measurements suggest that a GC-PFAIMS instrument operating at ambient pressure in air might result in a compactand convenient fuel specific Smoke alarm at a reasonable cost.Key Words: Gas chromatography; Ion mobility spectrometry; Volatile organic com-pounds;Smokedetector;Received:July1,2002;accepted:September9,2002

  • discrimination of combustion fuel sources using gas chromatography planar field asymmetric waveform ion mobility spectrometry
    IEEE Journal of Solid-state Circuits, 2003
    Co-Authors: G A Eiceman, Alexander Tarassov, Paul A Funk, Edgar S Hughs, Erkinjon G Nazarov, Raanan A Miller
    Abstract:

    Smoke plumes from cotton, paper, grass, and cigarettes and emissions from a gasoline engine were sampled using solid-phase microextraction (SPME) and samples were analyzed for volatile organic compounds (VOC) using gas chromatography-mass spectrometry (GC-MS). Chemical compositions were sufficiently distinct to allow source identification. Unfortunately, advanced Smoke Detectors based on GC-MS would be too slow and expensive for most applications. Direct sampling of Smoke by atmospheric pressure chemical ionization-mass spectrometry produced a complex response, demonstrating that VOC in Smoke were suitable for gas phase chemical ionization. The complexity also indicated the necessity of chromatographic prefractionation. Planar Field Asymmetric-waveform Ion Mobility Spectrometry (PFAIMS) as a capillary GC detector generated chemical information orthogonal to GC retention times. The combination of SPME preconcentration and the additional information provided by the PFAIMS detector yielded unique patterns from Smoke from each fuel. Reconstructed ion chromatograms extracted from the PFAIMS scans indicated sufficient resolution of chemical constituents could be completed in less than five minutes with little loss of analytical information. These first measurements suggest that a GC-PFAIMS instrument operating at ambient pressure in air might result in a compact and convenient fuel specific Smoke alarm at a reasonable cost.

Erkinjon G Nazarov - One of the best experts on this subject based on the ideXlab platform.

  • discrimination of combustion fuel sources using gas chromatography planar field asymmetric waveform ion mobility spectrometry
    IEEE Journal of Solid-state Circuits, 2003
    Co-Authors: G A Eiceman, Alexander Tarassov, Paul A Funk, Edgar S Hughs, Erkinjon G Nazarov, Raanan A Miller
    Abstract:

    Smoke plumes from cotton, paper, grass, and cigarettes and emissions from a gas-oline engine were sampled using solid-phase microextraction (SPME) and sampleswere analyzed for volatile organic compounds (VOC) using gas chromatography-mass spectrometry (GC-MS). Chemical compositions were sufficiently distinct toallow source identification. Unfortunately, advanced Smoke Detectors based on GC-MS would be too slow and expensive for most applications. Direct sampling of Smokeby atmospheric pressure chemical ionization-mass spectrometry produced a complexresponse, demonstrating that VOC in Smoke were suitable for gas phase chemicalionization. The complexity also indicated the necessity of chromatographic prefractio-nation. Planar Field Asymmetric-waveform Ion Mobility Spectrometry (PFAIMS) as acapillary GC detector generated chemical information orthogonal to GC retentiontimes. The combination of SPME preconcentration and the additional information pro-vided by the PFAIMS detector yielded unique patterns from Smoke from each fuel.Reconstructed ion chromatograms extracted from the PFAIMS scans indicated suffi-cient resolution of chemical constituents could be completed in less than five minuteswith little loss of analytical information. These first measurements suggest that a GC-PFAIMS instrument operating at ambient pressure in air might result in a compactand convenient fuel specific Smoke alarm at a reasonable cost.Key Words: Gas chromatography; Ion mobility spectrometry; Volatile organic com-pounds;Smokedetector;Received:July1,2002;accepted:September9,2002

  • discrimination of combustion fuel sources using gas chromatography planar field asymmetric waveform ion mobility spectrometry
    IEEE Journal of Solid-state Circuits, 2003
    Co-Authors: G A Eiceman, Alexander Tarassov, Paul A Funk, Edgar S Hughs, Erkinjon G Nazarov, Raanan A Miller
    Abstract:

    Smoke plumes from cotton, paper, grass, and cigarettes and emissions from a gasoline engine were sampled using solid-phase microextraction (SPME) and samples were analyzed for volatile organic compounds (VOC) using gas chromatography-mass spectrometry (GC-MS). Chemical compositions were sufficiently distinct to allow source identification. Unfortunately, advanced Smoke Detectors based on GC-MS would be too slow and expensive for most applications. Direct sampling of Smoke by atmospheric pressure chemical ionization-mass spectrometry produced a complex response, demonstrating that VOC in Smoke were suitable for gas phase chemical ionization. The complexity also indicated the necessity of chromatographic prefractionation. Planar Field Asymmetric-waveform Ion Mobility Spectrometry (PFAIMS) as a capillary GC detector generated chemical information orthogonal to GC retention times. The combination of SPME preconcentration and the additional information provided by the PFAIMS detector yielded unique patterns from Smoke from each fuel. Reconstructed ion chromatograms extracted from the PFAIMS scans indicated sufficient resolution of chemical constituents could be completed in less than five minutes with little loss of analytical information. These first measurements suggest that a GC-PFAIMS instrument operating at ambient pressure in air might result in a compact and convenient fuel specific Smoke alarm at a reasonable cost.

Edgar S Hughs - One of the best experts on this subject based on the ideXlab platform.

  • discrimination of combustion fuel sources using gas chromatography planar field asymmetric waveform ion mobility spectrometry
    IEEE Journal of Solid-state Circuits, 2003
    Co-Authors: G A Eiceman, Alexander Tarassov, Paul A Funk, Edgar S Hughs, Erkinjon G Nazarov, Raanan A Miller
    Abstract:

    Smoke plumes from cotton, paper, grass, and cigarettes and emissions from a gas-oline engine were sampled using solid-phase microextraction (SPME) and sampleswere analyzed for volatile organic compounds (VOC) using gas chromatography-mass spectrometry (GC-MS). Chemical compositions were sufficiently distinct toallow source identification. Unfortunately, advanced Smoke Detectors based on GC-MS would be too slow and expensive for most applications. Direct sampling of Smokeby atmospheric pressure chemical ionization-mass spectrometry produced a complexresponse, demonstrating that VOC in Smoke were suitable for gas phase chemicalionization. The complexity also indicated the necessity of chromatographic prefractio-nation. Planar Field Asymmetric-waveform Ion Mobility Spectrometry (PFAIMS) as acapillary GC detector generated chemical information orthogonal to GC retentiontimes. The combination of SPME preconcentration and the additional information pro-vided by the PFAIMS detector yielded unique patterns from Smoke from each fuel.Reconstructed ion chromatograms extracted from the PFAIMS scans indicated suffi-cient resolution of chemical constituents could be completed in less than five minuteswith little loss of analytical information. These first measurements suggest that a GC-PFAIMS instrument operating at ambient pressure in air might result in a compactand convenient fuel specific Smoke alarm at a reasonable cost.Key Words: Gas chromatography; Ion mobility spectrometry; Volatile organic com-pounds;Smokedetector;Received:July1,2002;accepted:September9,2002

  • discrimination of combustion fuel sources using gas chromatography planar field asymmetric waveform ion mobility spectrometry
    IEEE Journal of Solid-state Circuits, 2003
    Co-Authors: G A Eiceman, Alexander Tarassov, Paul A Funk, Edgar S Hughs, Erkinjon G Nazarov, Raanan A Miller
    Abstract:

    Smoke plumes from cotton, paper, grass, and cigarettes and emissions from a gasoline engine were sampled using solid-phase microextraction (SPME) and samples were analyzed for volatile organic compounds (VOC) using gas chromatography-mass spectrometry (GC-MS). Chemical compositions were sufficiently distinct to allow source identification. Unfortunately, advanced Smoke Detectors based on GC-MS would be too slow and expensive for most applications. Direct sampling of Smoke by atmospheric pressure chemical ionization-mass spectrometry produced a complex response, demonstrating that VOC in Smoke were suitable for gas phase chemical ionization. The complexity also indicated the necessity of chromatographic prefractionation. Planar Field Asymmetric-waveform Ion Mobility Spectrometry (PFAIMS) as a capillary GC detector generated chemical information orthogonal to GC retention times. The combination of SPME preconcentration and the additional information provided by the PFAIMS detector yielded unique patterns from Smoke from each fuel. Reconstructed ion chromatograms extracted from the PFAIMS scans indicated sufficient resolution of chemical constituents could be completed in less than five minutes with little loss of analytical information. These first measurements suggest that a GC-PFAIMS instrument operating at ambient pressure in air might result in a compact and convenient fuel specific Smoke alarm at a reasonable cost.

Paul A Funk - One of the best experts on this subject based on the ideXlab platform.

  • discrimination of combustion fuel sources using gas chromatography planar field asymmetric waveform ion mobility spectrometry
    IEEE Journal of Solid-state Circuits, 2003
    Co-Authors: G A Eiceman, Alexander Tarassov, Paul A Funk, Edgar S Hughs, Erkinjon G Nazarov, Raanan A Miller
    Abstract:

    Smoke plumes from cotton, paper, grass, and cigarettes and emissions from a gas-oline engine were sampled using solid-phase microextraction (SPME) and sampleswere analyzed for volatile organic compounds (VOC) using gas chromatography-mass spectrometry (GC-MS). Chemical compositions were sufficiently distinct toallow source identification. Unfortunately, advanced Smoke Detectors based on GC-MS would be too slow and expensive for most applications. Direct sampling of Smokeby atmospheric pressure chemical ionization-mass spectrometry produced a complexresponse, demonstrating that VOC in Smoke were suitable for gas phase chemicalionization. The complexity also indicated the necessity of chromatographic prefractio-nation. Planar Field Asymmetric-waveform Ion Mobility Spectrometry (PFAIMS) as acapillary GC detector generated chemical information orthogonal to GC retentiontimes. The combination of SPME preconcentration and the additional information pro-vided by the PFAIMS detector yielded unique patterns from Smoke from each fuel.Reconstructed ion chromatograms extracted from the PFAIMS scans indicated suffi-cient resolution of chemical constituents could be completed in less than five minuteswith little loss of analytical information. These first measurements suggest that a GC-PFAIMS instrument operating at ambient pressure in air might result in a compactand convenient fuel specific Smoke alarm at a reasonable cost.Key Words: Gas chromatography; Ion mobility spectrometry; Volatile organic com-pounds;Smokedetector;Received:July1,2002;accepted:September9,2002

  • discrimination of combustion fuel sources using gas chromatography planar field asymmetric waveform ion mobility spectrometry
    IEEE Journal of Solid-state Circuits, 2003
    Co-Authors: G A Eiceman, Alexander Tarassov, Paul A Funk, Edgar S Hughs, Erkinjon G Nazarov, Raanan A Miller
    Abstract:

    Smoke plumes from cotton, paper, grass, and cigarettes and emissions from a gasoline engine were sampled using solid-phase microextraction (SPME) and samples were analyzed for volatile organic compounds (VOC) using gas chromatography-mass spectrometry (GC-MS). Chemical compositions were sufficiently distinct to allow source identification. Unfortunately, advanced Smoke Detectors based on GC-MS would be too slow and expensive for most applications. Direct sampling of Smoke by atmospheric pressure chemical ionization-mass spectrometry produced a complex response, demonstrating that VOC in Smoke were suitable for gas phase chemical ionization. The complexity also indicated the necessity of chromatographic prefractionation. Planar Field Asymmetric-waveform Ion Mobility Spectrometry (PFAIMS) as a capillary GC detector generated chemical information orthogonal to GC retention times. The combination of SPME preconcentration and the additional information provided by the PFAIMS detector yielded unique patterns from Smoke from each fuel. Reconstructed ion chromatograms extracted from the PFAIMS scans indicated sufficient resolution of chemical constituents could be completed in less than five minutes with little loss of analytical information. These first measurements suggest that a GC-PFAIMS instrument operating at ambient pressure in air might result in a compact and convenient fuel specific Smoke alarm at a reasonable cost.