Diagnosis of respiratory diseases using analysis of exhaled breath and aerosols

    公开(公告)号:US11839463B2

    公开(公告)日:2023-12-12

    申请号:US17916649

    申请日:2020-08-26

    申请人: Zeteo Tech, Inc.

    IPC分类号: A61B5/08 A61B5/097 G01N33/497

    摘要: Disclosed are methods and devices for analyzing non-volatile organics in exhaled breath and other aerosols using various diagnostic tools that enable rapid, low cost point of care assays for several diseases including respiratory tract diseases such as COVID-19. The disclosed methods and systems selectively capture non-volatile organics in exhaled breath and other aerosols in a packed bed column. The non-volatile organics are eluted and samples are analysis using diagnostic devices including MALDI-TOFMS. The disclosed systems and methods provide for a diagnostic test result in less than about 20 minutes and provides for autonomous operation with minimal human intervention.

    METHODS AND SYSTEMS FOR DETECTING AEROSOL PARTICLES WITHOUT USING COMPLEX ORGANIC MALDI MATRICES

    公开(公告)号:US20220252545A1

    公开(公告)日:2022-08-11

    申请号:US17623598

    申请日:2020-06-27

    申请人: Zeteo Tech, Inc.

    IPC分类号: G01N27/64 H01J49/16 H01J49/40

    摘要: Disclosed are systems are methods for identifying the composition of single aerosol particles, particularly that of bioaerosol particles, without pre-treatment using complex organic MALDI matrices. A continuous timing laser may be used to index aerosol particles, measure particle properties, and trigger a pulse ionization laser. Ionized fragments and optionally photons associated with each particle producing by the ionization laser may be analyzed using one or more detectors including a TOF-MS detector and an optical detector. The laser pulse may comprise a simultaneous IR and UV laser pulse when fragments comprise predominantly of UV chromophores. Unique spectral data associated with each indexed particle from each detector may be compiled using data fusion to generate compiled spectral data. Machine learning methods may be used to improve the prediction of composition over time.

    DIAGNOSIS OF TUBERCULOSIS AND OTHER DISEASES USING EXHALED BREATH

    公开(公告)号:US20220322963A1

    公开(公告)日:2022-10-13

    申请号:US17638800

    申请日:2020-08-26

    申请人: Zeteo Tech, Inc.

    摘要: Disclosed are methods and devices for analyzing exhaled breath aerosols and exhaled breath condensates using various diagnostic tools that enable rapid, low cost and autonomous point of care assays for several diseases including respiratory tract diseases. Disclosed are methods and devices for analyzing exhaled breath aerosols and exhaled breath condensates for tuberculosis diagnosis using mass spectrometry, including MALDI-MS. The disclosed systems and methods provide for a diagnostic test result in less than about 20 minutes and provides for autonomous operation with minimal human intervention.