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Updated: May 31, 2026
Automated Modular High Throughput Exopolysaccharide Screening Platform Coupled with Highly Sensitive Carbohydrate Fingerprint Analysis
Published on: April 11, 2016
Enzymatically hydrolyzed oligosaccharide fingerprinting using nanopipettes at the single-molecule level
Qi-Yun Lu1, Hui Ma2, Shi-Guo Chen1
1College of Biosystems Engineering and Food Science, National-Local Joint Engineering Laboratory of Intelligent Food Technology and Equipment, Zhejiang Key Laboratory of Edible Agricultural Resources and High-value Utilization Zhejiang Key Laboratory for Agro-Food Processing, Zhejiang Engineering Laboratory of Food Technology and Equipment, Zhejiang University Hangzhou 310058 P.R. China chenshiguo210@163.com.
Abstract:
Enzymatic hydrolysis of oligosaccharides plays a pivotal role in important biological processes, but conventional analytical tools struggle to determine these functional components with single-monosaccharide resolution and ultrahigh sensitivity. Here, we report a nanopipette-based strategy for the length discrimination of enzymatically hydrolyzed galacturonic acid oligosaccharides differing by a single monosaccharide unit while achieving femtomolar (fM) level detection limits. Using this approach, we precisely identify six types of enzymatic hydrolysates, even in complex mixtures. Incorporating machine learning further enhances classification performance, achieving 0.98 accuracy. This study establishes an advanced platform for high-precision carbohydrate analysis, offering new possibilities for glycosidase-assisted glycan sequencing, enzymatic degradation studies, and gut microbiota metabolism research.
