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建立基于碳水化合物结合模块的侧向流动免疫分析方法用于鉴定透明质酸。

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

作者信息

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

机构信息

College of Food Science and Engineering, Ocean University of China, 5 Yushan Road, Qingdao 266003, China.

College of Food Science and Engineering, Ocean University of China, 5 Yushan Road, Qingdao 266003, China; Laboratory for Marine Drugs and Bioproducts, Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China.

出版信息

Int J Biol Macromol. 2022 Dec 31;223(Pt A):1180-1185. doi: 10.1016/j.ijbiomac.2022.11.122. Epub 2022 Nov 14.

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.

摘要

透明质酸是一种具有广泛应用的重要商业多糖。随着基于透明质酸产品的快速发展,其真伪性引起了消费者的广泛关注。在本研究中,克隆并表达了一种碳水化合物结合模块(CBM)SrCBM70。该蛋白能以高亲和力特异性结合透明质酸。随后,通过将SrCBM70整合到侧向流动免疫分析(LFIA)中,建立了一种鉴定透明质酸的新方法。其对透明质酸的检测限约为0.1μg/mL,检测可在5分钟内完成。证实了该方法在含透明质酸商业化产品真伪鉴定中的可行性。基于SrCBM70的LFIA方法的建立为现场真伪鉴定提供了一种解决方案,将有助于基于透明质酸产品的市场监管。

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