SOLID-PHASE AFFINITY SELECTION BY MASS SPECTROMETRY

    公开(公告)号:US20230236201A1

    公开(公告)日:2023-07-27

    申请号:US17999621

    申请日:2021-05-20

    CPC classification number: G01N33/6851 G01N33/54326 G01N27/624 G01N27/745

    Abstract: In a system for affinity selection by mass spectrometry, wherein a plurality of drug candidates in solution are separated based on affinity, a method is provided comprising introducing a solid-phase device having binding affinity for a selected protein into the solution, binding at least one of the plurality of drug candidates to the solid-phase device as a selected drug candidate, washing the solid-phase device and selected drug candidate to separate unbound material, sampling the selected drug candidate in capture fluid flowing through a sampling region of an open port sampling interface and directing the sampled selected drug candidate and capture fluid to an ionization source.

    Sampling From A Magnetic Induced Heterogenous System

    公开(公告)号:US20240203717A1

    公开(公告)日:2024-06-20

    申请号:US18286160

    申请日:2022-04-07

    CPC classification number: H01J49/0445 H01J49/0409 H01J49/0454

    Abstract: In one aspect, a method of extracting a target analyte from a sample for introduction into a mass spectrometer is disclosed, which includes mixing the sample with a paramagnetic medium to form a mixture, subjecting the mixture to a magnetic field gradient to form a non-homogenous distribution of at least one of the analyte and at least one interfering component of the sample, if any, thereby enhancing a concentration of the target analyte within a spatial location of said mixture, extracting at least a portion of the target analyte from that spatial location, and introducing at least a portion of the extracted target analyte into said mass spectrometer.

    MASS ANALYSIS
    4.
    发明公开
    MASS ANALYSIS 审中-公开

    公开(公告)号:US20230238230A1

    公开(公告)日:2023-07-27

    申请号:US17999814

    申请日:2021-05-25

    CPC classification number: H01J49/0413 H01J49/165 B25J15/0052

    Abstract: Technology for analyzing collections of substance samples. Systems in accordance with the disclosure can include one or more sample handlers, sample capture devices, mass analysis instruments, and controllers; the controllers being operative, in accordance with instructions received from at least one of an operator input device and machine-interpretable instructions stored in memory accessible by the controller, to generate signals configured to cause the sample handler to collectively retrieve from a sample source a plurality of samples of one or more substances, and deliver the plurality of collected samples to the at least one sample capture device; cause the sample capture device to independently capture at least one of the collectively retrieved samples delivered by the sample handler, and transfer the at least one captured sample to a mass analysis instrument; and cause the mass analysis instrument to ionize and detect one or more particles of the transferred treated sample.

    AUTOMATIC DATA PROCESSING FOR MULTIPLY CHARGED ANALYTES IN MASS SPECTROMETRY

    公开(公告)号:US20250125134A1

    公开(公告)日:2025-04-17

    申请号:US18688392

    申请日:2022-09-02

    Abstract: Methods and systems for automatically analyzing a collection of samples, the method including ionizing a plurality of samples, capturing a plurality of raw mass spectra for the ionized plurality of samples, correlating captured respective subsets of the raw mass spectra to each sample of the plurality of samples, and for each sample of the plurality of samples, generating a reconstructed mass spectrum based on the respective subset of the raw mass spectra of the sample. Methods and systems also include correlating the captured respective subsets of the raw mass spectra to each sample by generating a chronogram, and correlating a timeline of a sampling of the sample with the chronogram to correlate the captured respective subsets of the raw mass spectra to each sample. Methods and systems also include analyzing the generated reconstructed mass spectrum for each sample of the plurality of samples.

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