公开(公告)号：US20220359179A1

公开(公告)日：2022-11-10

申请号：US17814256

申请日：2022-07-22

Applicant: Scott Hopkins ,  DH TECHNOLOGIES DEVELOPMENT PTE. LTD.

Inventor： John Lawrence Campbell ,  Scott Hopkins

IPC: H01J49/00 ,  G06N20/20 ,  G01N27/62 ,  G01N27/623

Abstract: A plurality of known compounds with known CCS values is analyzed using a DMS device. The DMS device determines how the intensities of their transmitted ions vary with different separation voltages (SVs) and compensation voltages (CVs). A machine learning algorithm builds a data model from the known m/z value, known CCS value, and measured pairs of CV and SV values that provide optimal transmission through the DMS device for each of the known compounds. An unknown compound with an unknown CCS value is then analyzed. The DMS device determines how the intensity of its ions varies with the same different SVs and CVs. Finally, the machine learning algorithm predicts the CCS value of the unknown compound from the data model, the known m/z of the unknown compound, and the measured pairs of CV and SV values that provide optimal transmission through the DMS device for the unknown compound.

公开(公告)号：US11424114B2

公开(公告)日：2022-08-23

申请号：US16767760

申请日：2018-11-19

Applicant: DH TECHNOLOGIES DEVELOPMENT PTE. LTD.

Inventor： John Lawrence Campbell ,  Scott Hopkins

IPC: H01J49/00 ,  G06N20/20 ,  G01N27/62 ,  G01N27/623

Abstract: A plurality of known compounds with known CCS values is analyzed using a DMS device. The DMS device determines how the intensities of their transmitted ions vary with different separation voltages (SVs) and compensation voltages (CVs). A machine learning algorithm builds a data model from the known m/z value, known CCS value, and measured pairs of CV and SV values that provide optimal transmission through the DMS device for each of the known compounds. An unknown compound with an unknown CCS value is then analyzed. The DMS device determines how the intensity of its ions varies with the same different SVs and CVs. Finally, the machine learning algorithm predicts the CCS value of the unknown compound from the data model, the known m/z of the unknown compound, and the measured pairs of CV and SV values that provide optimal transmission through the DMS device for the unknown compound.

公开(公告)号：US11728152B2

公开(公告)日：2023-08-15

申请号：US17814256

申请日：2022-07-22

Applicant: DH TECHNOLOGIES DEVELOPMENT PTE. LTD. ,  Scott Hopkins

Inventor： John Lawrence Campbell ,  Scott Hopkins

IPC: H01J49/00 ,  G06N20/20 ,  G01N27/623 ,  G01N27/62

CPC classification number: H01J49/0036 ,  G01N27/62 ,  G01N27/623 ,  G06N20/20

Abstract: A plurality of known compounds with known CCS values is analyzed using a DMS device. The DMS device determines how the intensities of their transmitted ions vary with different separation voltages (SVs) and compensation voltages (CVs). A machine learning algorithm builds a data model from the known m/z value, known CCS value, and measured pairs of CV and SV values that provide optimal transmission through the DMS device for each of the known compounds. An unknown compound with an unknown CCS value is then analyzed. The DMS device determines how the intensity of its ions varies with the same different SVs and CVs. Finally, the machine learning algorithm predicts the CCS value of the unknown compound from the data model, the known m/z of the unknown compound, and the measured pairs of CV and SV values that provide optimal transmission through the DMS device for the unknown compound.

公开(公告)号：US20210366699A1

公开(公告)日：2021-11-25

申请号：US16767760

申请日：2018-11-19

Applicant: Scott Hopkins ,  DH TECHNOLOGIES DEVELOPMENT PTE. LTD.

Inventor： John Lawrence Campbell ,  Scott Hopkins

IPC: H01J49/00 ,  G06N20/20

Abstract: A plurality of known compounds with known CCS values is analyzed using a DMS device. The DMS device determines how the intensities of their transmitted ions vary with different separation voltages (SVs) and compensation voltages (CVs). A machine learning algorithm builds a data model from the known m/z value, known CCS value, and measured pairs of CV and SV values that provide optimal transmission through the DMS device for each of the known compounds. An unknown compound with an unknown CCS value is then analyzed. The DMS device determines how the intensity of its ions varies with the same different SVs and CVs. Finally, the machine learning algorithm predicts the CCS value of the unknown compound from the data model, the known m/z of the unknown compound, and the measured pairs of CV and SV values that provide optimal transmission through the DMS device for the unknown compound.