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Updated: Jun 7, 2025

Automated Modular High Throughput Exopolysaccharide Screening Platform Coupled with Highly Sensitive Carbohydrate Fingerprint Analysis
Published on: April 11, 2016
Carbohydrate-binding module could integrate with ELISA and serve the simple and specific quantification of hyaluronic
Yanyan Liu1, Menghui Sun1, Yaoguang Chang2
1College of Food Science and Engineering, Ocean University of China, 1299 Sansha Road, Qingdao 266404, China.
Abstract:
Quantification is essential in the research and development of polysaccharides. However, achieving simplicity and specificity in polysaccharide quantification remains a challenging task. Enzyme-linked immunosorbent assay (ELISA) based on antibodies provides a straightforward and specific quantification strategy. Nevertheless, acquiring antibodies for polysaccharides is complicated. Carbohydrate-binding modules (CBMs), which can be efficiently obtained, exhibit the capability to specifically recognize and bind carbohydrates. In this study, we verified the feasibility of a CBM-based ELISA for the quantification of hyaluronic acid (HA) by replacing an antibody with a CBM. The CBM-based ELISA, which employed a HA-specific CBM, exhibited a linear detection range spanning from 10 to 100 μg/mL. Both intra-assay and inter-assay coefficients of variation remained below 15 % and recoveries ranged from 96.26 % to 98.22 %, indicating favorable precision and accuracy. The method exhibited specificity exclusively to HA, suggesting its reliance on CBM binding specificity. The effectiveness of the method in analyzing commercial products was confirmed. Additionally, a comparison with the carbazole assay revealed a highly significant correlation (r = 0.994). By integrating CBMs with ELISA, the study presented a novel and easily implementable solution for simple and specific quantification of HA while also highlighting the potential of this strategy to advance polysaccharide detection.

