Method for automated high throughput identification of carbohydrates and carbohydrate mixture composition patterns as well as systems therefore

US10684253B2 · kind B2 · utility

Assignee

• Max-Planck-Gesellschaft zur Föderung der Wissenschaften e.V. · US

Inventors

• Erdmann Rapp · Magdeburg, DE
• Jana Schwarzer · Magdeburg, DE
• Udo Reichl · Magdeburg, DE
• Christian Bohne · Stuttgart, DE

Key dates

• Filing date: Sep 20, 2012
• Grant date: Jun 16, 2020
• Expiry date: Jun 15, 2035

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y10T436/21
• WIPO field: Chemical engineering
• WIPO sector: Chemistry

Abstract

The present invention relates to methods for the identification of compounds in carbohydrate mixture compositions as well as the determination of carbohydrate mixture composition patterns, based on e.g. orthogonal cross determining migration time (indices) using capillary gel electrophoresis-laser induced fluorescence and identifying said carbohydrate components based on comparing said migration time (indices) with standard migration time (indices) from a database which data are preferably also orthogonal cross determined. In a further aspect, the present invention relates to a method for carbohydrate mixture composition pattern profiling, like glycosylation pattern profiling using capillary gel electrophoresis-laser induced fluorescence (CGE-LIF). In another aspect, the present invention refers to a system for an automated determination and/or identification of carbohydrates and/or carbohydrate mixture composition patterns (e.g.: glycosylation patterns). Finally, the present invention relates to a database containing e.g. orthogonal cross normalized migration times and/or migration time indices of carbohydrates.