Invention Grant
- Patent Title: Solid state nanopores aided by machine learning for identification and quantification of heparins and glycosaminoglycans
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Application No.: US16155972Application Date: 2018-10-10
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Publication No.: US11325987B2Publication Date: 2022-05-10
- Inventor: Peiming Zhang , Xu Wang , Jong One Im , Stuart Lindsay
- Applicant: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY
- Applicant Address: US AZ Scottsdale
- Assignee: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY
- Current Assignee: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY
- Current Assignee Address: US AZ Scottsdale
- Agency: Viksnins Harris Padys Malen LLP
- Main IPC: G01N33/48
- IPC: G01N33/48 ; G01N33/50 ; C08B37/00 ; G06N20/10 ; G16B40/20 ; G06N3/08 ; G16B40/10

Abstract:
The present disclosure provides a method for identifying and quantifying sulfated glycosaminoglycans, including for example heparin, by passing a sample through nanopores. The glycosaminoglycans sample is measured in microliter quantities, at nanomolar concentrations with detection of impurities below 0.5%, and a dynamic range over five decades of magnitude with a trained machine learning algorithm.
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