Establishment of a carbohydrate binding module-based lateral flow immunoassay method for identifying hyaluronic acid

建立基于碳水化合物结合模块的侧流免疫分析方法鉴定透明质酸

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作者:Xuanwei Mei, Menghui Sun, Yuying Zhang, Jingjing Shen, Jiajing Li, Changhu Xue, Yaoguang Chang

Abstract

Hyaluronic acid is a commercially important polysaccharide with wide applications. Along with the rapid development of hyaluronic acid-based products, their authenticity has aroused considerable attention from consumers. In the present study, a carbohydrate-binding module (CBM) SrCBM70 was cloned and expressed. The protein could specifically bind to hyaluronic acid with a strong affinity. A novel method for the identification of hyaluronic acid was subsequently established by integrating SrCBM70 into the lateral flow immunoassay (LFIA). Its detection limit for hyaluronic acid was approximately 0.1 μg/mL, and the assay could be completed in 5 min. The feasibility of this method in the authenticity identification of commercialized products containing hyaluronic acid was confirmed. The establishment of the SrCBM70-based LFIA method provided a solution for the on-site authenticity identification and would facilitate the market supervision of hyaluronic acid-based products.

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