Mei Xuanwei, Sun Menghui, Zhang Yuying, Shen Jingjing, Li Jiajing, Xue Changhu, Chang Yaoguang
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.
Int J Biol Macromol. 2022 Dec 31;223(Pt A):1180-1185. doi: 10.1016/j.ijbiomac.2022.11.122. Epub 2022 Nov 14.
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.
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。