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자동화 모​​듈 높은 처리량 엑소 폴리 사카 라이드 심사 플랫폼은 매우 민감한 탄수화물 지문 분석과 결합

DOI :

10.3791/53249-v

12:02 min

April 11th, 2016

April 11th, 2016

11,098 Views

1Chair of Chemistry of Biogenic Resources, Technische Universität München

We present an automated modular high-throughput-method for the identification and characterization of microbial exopolysaccharides in small scale. This method combines a fast preselection to analyze the total amount of secreted polysaccharides with a detailed carbohydrate fingerprint to enable the fast screening of newly isolated bacterial strains or entire strain collections.

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